12 investors share their insights on what 2026 holds for climate technology

12 investors share their insights on what 2026 holds for climate technology

This was meant to be the year that climate technology faded away.

Former President Donald Trump and the Republican Party have actively worked to dismantle key industrial and climate policies under the Biden administration. The European Union has also started to soften its most ambitious objectives.

However, as this year wraps up, the data offers a contrasting perspective on investments in climate and clean energy across the U.S. and Europe. Rather than collapsing, investment in this sector has remained fairly stable compared to 2024, according to CTVC, which is far from the downturn that some had anticipated.

This persistence can partly be attributed to the ongoing challenges posed by climate change. A more significant factor may be that many climate technologies have either become more affordable or superior to their fossil fuel counterparts—or are very close to doing so.

Remarkable cost declines in solar, wind, and batteries continue to propel climate tech forward. While not every emerging technology will experience the same trajectory, these developments suggest that fossil fuels are not infallible, and there are considerable opportunities to invest in companies offering cleaner, cost-effective alternatives.

Data centers continue to be at the forefront

Last year, I forecasted that 2025 would mark the year when climate tech embraced AI and its substantial appetite for energy, a prediction that has largely held true. It’s not entirely unexpected — for the climate tech sector, affordable, clean energy is essential.

Interest in data centers has surged over the last year. Investors surveyed by TechCrunch widely agree that data centers will continue to be a central topic in 2026.

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“They are establishing their own financial ecosystem, and the current AI initiatives are gaining enough traction that I don’t foresee the hyperscalers pulling back in 2026,” stated Tom Chi, founding partner at At One Ventures, to TechCrunch.

“I’m consistently hearing about a growing concentration of focus on data centers nearly every day in discussions, particularly with corporate clients,” remarked Po Bronson, managing director at SOSV’s IndieBio, to TechCrunch.

In 2025, the primary concern for data centers was acquiring new energy sources. However, Lisa Coca, partner at Toyota Ventures, believes their focus will shift in 2026. “The conversation around energy for data centers in 2026 is likely to transition from demand to resilience and the necessity to expedite plans to become independent from the grid,” she stated. Independence could help address certain issues faced by data centers, especially resistance from grid operators and the public who are increasingly anxious that new energy demands are driving up their electricity costs.

Nevertheless, the need for additional power persists, and investors noted that geothermal, nuclear, solar, and batteries have all benefited from the surge in interest. “Zero-carbon generation is already among the most affordable energy sources, and the increasing demand for both grid-scale and distributed batteries is speeding up cost reductions more rapidly than anticipated,” mentioned Daniel Goldman, managing partner at Clean Energy Ventures.

Investors acknowledged the possibility of an AI bubble bursting; some expressed doubts about whether such an event would adversely affect the energy sector.

“Could a bubble burst in 2026? Absolutely,” stated Kyle Teamey, managing partner at RA Capital Planetary Health. However, he noted that it is unlikely to disrupt infrastructure plans. “The budget for 2026 has already been allocated. The momentum is in motion.”

Andrew Beebe, managing director at Obvious Ventures, suggested that while the data center bubble may burst around 2026 or early 2027, he does not believe any such bubble exists in electricity generation. “We still require a substantial amount of power, and we’ll utilize it — no build-out bubble in that sector… yet.”

Beyond AI and data centers, Anil Achyuta, partner at Energy Impact Partners, noted that reindustrialization will come into sharper focus this year. “We need to reconstruct supply chains for systems requiring multiple components and complex processing flows,” he said, highlighting robotics, batteries, and power electronics as key areas.

The ongoing pursuit of energy

Thanks to a continuous stream of new data center announcements, energy-focused startups have received a boost this year, particularly those involved in nuclear fission. In recent weeks, nuclear startups have reported funding rounds exceeding $1 billion, raising speculation that many will pursue SPAC or traditional IPO processes in 2026.

“Nuclear is very much in vogue at present,” remarked Teamey.

However, it will take time for nuclear energy to make a significant impact on electricity demand. In the interim, technology firms and data center developers have been turning to solar and batteries as cost-effective, rapidly implementable energy sources. Grid-scale batteries, in particular, have seen record deployments in 2025. With the emergence of alternative battery chemistries such as sodium-ion and zinc, costs are expected to fall further, promoting widespread adoption.

“We expect to see growth in 2026 with new innovations in [battery] chemistry and business models,” stated Leo Banchik, director at Voyager. “A significant lesson from past mishaps was the need to develop gigafactories after validating demand or achieving superior unit economics compared to existing models. The current wave is more disciplined.”

Several investors are optimistic about geothermal stepping up to fill impending gaps in the coming years. They view enhanced geothermal as a relatively advanced technology poised for large-scale deployment in 2026.

“Geothermal will closely follow solar in terms of new generation,” stated Joshua Posamentier, managing partner at Congruent Ventures. “Natural gas assets are expanding at a steady pace. There isn’t much new capacity in turbine manufacturing coming online, and they are fully utilizing what they can. Geothermal is poised for exponential growth.”

While AI is driving demand, innovations and businesses that venture beyond data centers are expected to gain the most, according to Laurie Menoud, founding partner at At One Ventures. “Data centers are one component of the demand, not the entirety of the market.”

Which startup is poised for a public offering in 2026?

Not everyone concurred or was willing to offer a prediction. However, among those who did, many highlighted nuclear or geothermal startups as likely candidates for going public, whether via IPO or SPAC.

The startup most frequently mentioned was Fervo, the enhanced geothermal company that recently secured a $462 million funding round. The firm is widely considered a frontrunner in the industry and is currently constructing a 500-megawatt facility in Utah that is expected to serve as a blueprint for forthcoming power plants. Accessing the public markets would enable the company to bolster its resources for additional projects.

Apart from data centers, investors are keen on a variety of technologies and sectors, including essential minerals, robotics, and software designed to manage the electricity grid.

“We need to focus more on grid execution as a vital category,” said Amy Duffuor, general partner at Azolla Ventures. “The hidden successes are companies that produce software, hardware, and supply-chain solutions to expedite interconnection, planning, and deployment, helping utilities progress on projects.”

Resilience and adaptation will be key themes in 2026, according to Coca of Toyota Ventures and Posamentier of Congruent Ventures. Achyuta at EIP identified a potential application: systems that enable robots to bury electrical transmission lines more swiftly and cost-effectively than humans, thereby reducing wildfire risks and enhancing the grid’s reliability.

Beebe, at Obvious Ventures, noted that electric trucking will also be a space to watch. “One of the major developments of 2026 will be Tesla Semi’s releases and specifications. The range and pricing of that vehicle will transform the industry in ways comparable to the Model S or 3.”

AI is likely to play a significant role in transforming climate tech. “We anticipate substantial innovation when AI interacts with the physical world in 2026, affecting both infrastructure and consumer applications,” stated Matt Rogers, founder at Incite and Mill. “The integration of AI with smart hardware and physical infrastructure will catalyze the transformation of trillion-dollar industries from manufacturing to life sciences to food systems.”

Moreover, keeping an eye on technologies that have previously been deemed impractical could be beneficial, remarked Bronson at SOSV. “When investors eventually grow weary of a sector and conclude that it is unlikely to yield returns, that’s precisely when true breakthroughs occur,” he commented.

Explore further

Below are the detailed remarks from the investors who participated in TechCrunch’s survey, listed alphabetically. Click the link to jump to a specific response.

  • Anil Achyuta, partner at Energy Impact Partner
  • Leo Banchik, director at Voyager
  • Andrew Beebe, managing director at Obvious Ventures
  • Po Bronson, managing director at SOSV’s IndieBio
  • Tom Chi, founding partner at At One Ventures
  • Lisa Coca, partner at Toyota Ventures
  • Amy Duffuor, general partner at Azolla Ventures
  • Daniel Goldman, managing partner at Clean Energy Ventures
  • Laurie Menoud, founding partner at At One Ventures
  • Joshua Posamentier, managing partner at Congruent Ventures
  • Matt Rogers, founder at Incite and Mill
  • Kyle Teamey, managing partner at RA Capital Planetary Health

Anil Achyuta, partner at Energy Impact Partner

Data centers have dominated conversations about energy in 2025. What should we expect in 2026?

Reindustrialization beyond data centers will emerge as a significant theme. We need to restore supply chains for systems that entail multiple components and intricate flowsheets. For instance, advancing next-generation robotics to tackle labor shortages and national security challenges will necessitate integrated supply chains. Technologies like batteries, power electronics, fuel cells, gas turbines, and even home manufacturing are examples of markets/technologies that will need reinvention within the value chain.

Another area to watch is AI-powered physical science. While companies like Zanskar (predictive AI for geothermal) and Fabric8Labs (generative cooling for data centers) have demonstrated promise, there haven’t been many visible breakthroughs yet. Nonetheless, the talent pool addressing these challenges is impressive and could lead to exciting advances.

Where is the largest opportunity to find or place power on the grid?

Gas turbines deliver reliable capacity and remain a choice for many major players deploying data centers. Beyond that, batteries—especially sodium-ion—represent one of the most economical, near-term solutions at the grid scale. I am optimistic about the progress in this technology, and pairing solar with batteries (as firms like Peak Energy are doing) remains an attractive strategy. Next-gen geothermal also shows significant promise, but the timelines are akin to those of nuclear energy—powerful yet taking about a decade to reach full capacity.

Additionally, algorithmic solutions that unlock new power using existing infrastructure (e.g., Gridcare, ThinkLabs AI) and optimize workloads (e.g., Emerald AI) can enhance grid efficiency. Innovations such as applying optical coatings to transmission lines to minimize losses, are being developed by AssetCool (a company within the EIP portfolio).

Which climate tech or clean energy startup is most likely to IPO in 2026?

Fervo Energy, Commonwealth Fusion, and Redwood Materials would be my personal guesses, though I may be mistaken.

Which technologies do you believe will be ready for larger-scale deployment in 2026?

Sodium-ion batteries for grid-scale storage are already in deployment and will see rapid acceleration in 2026. Another technology to keep an eye on is solid-state transformers (note that Heron Power is a part of the EIP portfolio). The industry is progressing more swiftly than expected and is scaling similarly to semiconductors, though full-scale production may require more time.

What trend or technology should we focus on more?

One emerging trend is the underground construction of transmission lines. Advances in robotics could facilitate a quick, cost-effective approach that greatly diminishes wildfire risks, thus mitigating the substantial carbon emissions connected to such incidents.

Distributed power, warmth, and computation are the final category of trends we are tracking with interest for 2026.

Leo Banchik, director at Voyager

Data centers have dominated conversations about energy in 2025. What should we expect in 2026?

Data centers will persist in driving record energy consumption as AI workloads expand. Despite concerns about overbuilding, it’s unlikely there will be significant stranded capacity — as computing power becomes less expensive and more accessible, we will continue to uncover new applications for it. An intriguing shift is seen in hyperscalers who are starting to distinguish between clean energy sources – robust versus intermittent, location, and scalability – instead of merely considering megawatt-hours. This is already emerging in customized offtake agreements and on-site supply strategies.

Fission and geothermal are expected to maintain momentum fueled by both private investments and federal support. As geopolitical tensions rise, fusion may also gain traction for increased federal backing, although significant deployment on a high-capacity grid level is still years away.

Alternatives to natural gas peakers will likely gain momentum too—employing newer turbines and modular designs, coupled with integrated carbon capture, as grids manage increased peak demands from AI.

Where is the greatest opportunity to find or place power on the grid?

The expansion of solar and batteries will continue, given their strong economics. For persistent, dispatchable baseload power, we anticipate expansion in fission, geothermal, and peaker alternatives, like modular gas turbines with carbon capture. Additionally, there’s a grid-edge opportunity worth monitoring: significant facilities acquiring dedicated baseload on-site rather than adding to grid congestion.

Which climate tech or clean energy startup is most likely to IPO in 2026?

Most likely in fission or geothermal. These firms have secured substantial capital and negotiated robust offtake agreements with hyperscalers and utilities. With multibillion-dollar project pipelines requiring ongoing growth financing, several could venture into public markets in 2026.

Which technologies do you think will be prepared for larger scale deployments in 2026?

The deployment of energy storage is speeding up across residential, commercial, industrial (including backup for data centers), and grid-scale applications. Domestic supply chains, encompassing second-life battery systems, are gaining traction for stationary storage. Anticipate growth in 2026 with new approaches regarding chemistry and business models. A critical lesson learned from previous setbacks was the urgency of scaling gigafactories post demand proof or when achieving better unit economics than conventional models. The emerging wave is more disciplined.

Industrial heat pumps and thermal storage solutions for steam and process heat are becoming less expensive to operate than gas boilers in numerous regions and applications, especially where waste heat is available and electricity rates are favorable.

We’ll also see substantial expansion in critical minerals and battery materials initiatives — lithium, rare earths, magnesium refinement; battery component and cell manufacturing; copper recycling — emerging with federal support as supply chain security turns strategic.

What trend or technology should we pay more attention to?

Software and AI enhancing physical infrastructure: real-time factory intelligence to improve energy efficiency and production yields, AI-based design tools that expedite product development cycles, grid management software coordinating intermittent renewables with storage and dispatchable power.

Companies adopting a clean-slate strategy to reimagine foundational technologies — think a SpaceX-style reevaluation of components once thought to be resolved issues. Developing motor designs that eliminate reliance on rare earths, modern manufacturing techniques for grid infrastructure like transformers, advanced materials processing that significantly reduces costs while enhancing quality. Advances in robotics further support these cost trajectories, making U.S. manufacturing competitive again.

Finally, dual-use climate technologies with superior unit economics that inadvertently strengthen domestic supply chains. Defense and industrial policy continue to back these not merely for climate-related reasons but because they present cost advantages and ensure supply security.

Andrew Beebe, managing director at Obvious Ventures

Data centers have dominated conversations about energy in 2025. What should we expect in 2026?

Data centers will once again take precedence. There will, however, be heightened discussions about a potential build-out bubble (focused on data centers, not electricity generation). We’ll grapple with the dual reality of excessive funds/debt allocated to data centers, and the speculation bubble will likely burst (possibly early 2027). Concurrently, we will still necessitate substantial power, which will be utilized — no build-out bubble in that sector… yet.

Where is the largest opportunity to locate or place power on the grid?

In terms of power generation: geothermal in the near term. Fission in the mid-term. Fusion in the long-term, over ten years. Regarding siting: The aforementioned technologies can be deployed anywhere, but primarily in western states for geothermal electricity. For batteries—PJM [the grid covering the mid-Atlantic west to parts of Illinois] and Texas.

Which climate tech or clean energy startup is likely to IPO in 2026?

Fervo is among the promising candidates from venture backing.

Which technologies do you believe will be ready for larger-scale deployment in 2026?

Geothermal and grid-scale batteries.

What trend or technology should we focus on more?

Grid software and electric vehicle trucking. A key highlight of 2026 will likely be Tesla Semi’s specifications and release. The range and pricing of this vehicle will significantly reshape the industry, reminiscent of the impacts made by the Model S or 3.

Po Bronson, managing director at SOSV’s IndieBio

Data centers have dominated conversations about energy in 2025. What should we expect in 2026?

I still observe an ever-growing concentration of effort and emphasis on data centers nearly every single day during meetings, particularly with corporates. This is somewhat driven by “picks and shovels” companies who are strategizing how to become more significant players/integrated instead of merely being a purchased component.

A related term I encounter more often is power density and/or specific power (power-to-weight ratio), as many corporates anticipate or plan a transition of their energy divisions into robotics. Duncan Turner is our resident expert on this topic.

Which climate tech or clean energy startup is most likely to IPO in 2026?

I don’t have a climate tech company in my portfolio lined up for public offerings in 2026. Tidal Vision has targeted 2027. That’s my closest prediction. I prefer not to speculate on other VC portfolios, even though I have my opinions, as I shouldn’t express views where I’m only partially informed.

Which technologies do you think will be ready for larger-scale deployment in 2026?

For 2026, my fastest-scaling companies include Tidal Vision and Voyage Foods, which has taken over a General Motors facility in Ohio.

What trend or technology should we pay more attention to?

Regarding what to monitor more closely, I’ll repeat Duncan’s accomplishments — his initiatives with the Plasma Forge are, in my opinion, going to be highly compelling and will ensure rigorous study in the field.

Additionally, I consistently feel that real breakthroughs often occur when investors grow weary of a sector and conclude that it’s unlikely to thrive. I recall this lesson from 1999 when there was speculation about whether the search market would be dominated by Yahoo, AltaVista, Excite, Lycos, or Infoseek.

I sense this trend in my personal investments. I recently conveyed this sentiment to AgFunder; however, the VC landscape seems to exhibit a bias that anticipates multiple winners in sectors projected for growth. In reality, most markets don’t accommodate multiple winners, and a single company emerges victorious.

Tom Chi, founding partner at At One Ventures

Data centers have dominated conversations about energy in 2025. What should we expect in 2026?

Expect significantly more discussion surrounding data centers in 2026. They are crafting their own financial ecosystem, and the current momentum in AI initiatives suggests that I do not foresee hyperscalers retracting in 2026.

Where is the biggest opportunity to find or place power on the grid?

Budgets for hyperscalers range from $50 billion to $100 billion, covering power, chips, and more. The costs associated with chips are substantial enough that stakeholders are willing to allocate additional funds to secure power on the grid sooner, as the losses from chip depreciation exceed most incremental additions to their power expansion budgets.

Which climate tech or clean energy startup is most likely to IPO in 2026?

The IPO market remains a bit vague, and most individuals don’t reveal the timing of their public offerings.

Which technologies do you think will be prepared for larger-scale deployment in 2026?

Companies like Fervo are at an interesting pivotal moment. One of our portfolio companies, Provectus Algae, is also at a crucial juncture.

What trend or technology should we prioritize more?

We’ve observed a significant swing away from heavily capital-intensive endeavors in industrial decarbonization not tied to AI. It is essential for our collective future, notwithstanding its temporary period of diminished visibility.

Lisa Coca, partner at Toyota Ventures

Data centers have dominated conversations about energy in 2025. What should we expect in 2026?

From Toyota Ventures’ perspective, we believe that the energy dialogue around data centers in 2026 will transition from demand to resilience, emphasizing the urgency to advance plans for grid independence.

Where is the biggest opportunity to find or place power on the grid?

We are convinced that the most promising investment opportunities lie in firm, dispatchable, and scalable carbon-free energy solutions. We have actively committed to technologies enhancing baseload power, such as geothermal and nuclear, through our portfolio companies like Rodatherm and Natura Resources. For essential grid flexibility, we are investing in advanced, long-duration energy storage battery technologies with our backing of e-Zinc.

Which climate tech or clean energy startup is most likely to go public in 2026?

We foresee nuclear power leading in terms of IPOs and SPACs during 2026.

Which technologies do you think will be ready to deploy at larger scales in 2026?

This is a challenging question since the outcome may hinge on the evolution of the capital stack. A substantial number of climate tech companies across various sectors are on the brink of larger-scale deployment. The key challenge lies in securing financing for first-of-a-kind (FOAK) projects to mitigate risks in the crucial step of transitioning from initial prototypes to scalable implementations.

What trend or technology should we focus on more?

Our team anticipates that resilience and adaptation will continue to be prominent in 2026. The Toyota Ventures portfolio exemplifies this: BurnBot focuses on wildfire mitigation, ZymoChem enhances supply chain resilience through sustainable materials, and Alora creates adaptable resource solutions.

Amy Duffuor, general partner at Azolla Ventures

Data centers have dominated conversations about energy in 2025. What should we expect in 2026?

I predict that the energy discourse will shift from power generation to the speed of power delivery. Interconnection timelines, permitting, and physical grid constraints remain bottlenecks, leading data centers to increasingly rely on hybrid strategies combining grid power, storage, and demand flexibility to meet timelines.

Where is the biggest opportunity to find or place power on the grid?

One opportunity lies in grid-ready locations, such as sites with existing transmission and substations. Anything that shortens interconnection timelines currently holds immense value due to limited access to the grid. I am also interested in wireless power transmission, despite its nascent stage.

Which climate tech or clean energy startup is most likely to IPO in 2026?

Fervo Energy has generated considerable talk recently…!

Which technologies do you think will be ready for larger-scale deployment in 2026?

Long-duration energy storage technology companies are set to progress from initial pilots to demonstrations and subsequently to repeatable deployments. We’re particularly enthusiastic about our portfolio company Noon Energy.

What trend or technology should we emphasize more?

Grid execution should gain more prominence as a category. The unnoticed victors are firms that produce software, hardware, and supply-chain solutions that expedite interconnection, planning, and deployment, empowering utilities to effectively advance projects.

Daniel Goldman, managing partner at Clean Energy Ventures

Data centers have dominated conversations about energy in 2025. What should we expect in 2026?

We anticipate an uptick in deal-making within the data center/hyperscaler sector that encompasses the following aspects:

  1. Organized power off-take agreements that combine behind-the-meter and utility-related infrastructure to enhance pricing and reliability;
  2. More actions at federal, ISO/RTO, and state levels to expedite the deployment of energy assets while balancing tariff structures to avoid imposing increased costs on voters;
  3. Mergers and Acquisitions focused on technology optimization, inclusive of resources such as geothermal, nuclear, critical minerals, and downstream hardware and software products that facilitate the digitalization, decarbonization, and distribution of energy resources and load management, a focal area for our firm and venture capital at large.

While we do not predict an overall “bust cycle” for data center and hyperscaler development activities, we foresee some rationalization in development and the implementation of efficiency options to reduce capacity needs.

Where is the largest opportunity to find or place power on the grid?

The most significant immediate opportunity — and challenge — lies in enhancing the grid itself. Modernizing the grid through digital platforms, decarbonization, and decentralization will unlock cost efficiencies, optimize existing infrastructure, and better integrate large-scale distributed energy resources — likely not groundbreaking information here. Zero-carbon generation is already among the most economical energy sources, and the rising demand for both grid-scale and distributed batteries is catalyzing cost reductions more rapidly than expected.

We foresee this trend persisting despite recent policy shifts evident in the IRA, as numerous venture capital-supported companies have the potential to make a significant impact on the grid as they expand and gain market adoption. The disruption is underway!

Which climate tech or clean energy startup is most likely to IPO in 2026?

Factorial appears to be a leading candidate following its plans to de-SPAC in 2026. Its trajectory indicates that companies with solid customer traction in expansive markets, clear cost and performance benefits, and fast-growing revenues are well-positioned for public offerings. (This SPAC market contrasts sharply with that of 2020, where entrants such as QuantumScape lacked significant revenues and may not have been adequately prepared for public markets.)

Beware of an increase in companies rushing to public markets on hype rather than solid fundamentals.

Beyond Factorial, several companies in energy storage, generation, and critical mineral sectors are nearing scalable revenue heights to facilitate access to low-cost public market capital (a genuine advantage); however, in the minerals sector, we may see a surge in mergers and acquisitions preceding any public offerings in 2026.

Which technologies do you think will be ready to deploy at larger scales in 2026?

Projects in energy storage, sustainable aviation fuel (SAF), critical minerals, and manufacturing facilities throughout the energy supply chain will attract significant investments in the U.S., supported by manufacturing tax incentives and attractive market prospects, despite potential federal policy challenges.

In 2025, we thoroughly examined and developed new risk transfer solutions for FOAK project developers. We foresee commercial lenders and private credit beginning to engage significantly in this domain with support from insurance underwriting and catalytic capital. There’s an expectation of a rise in projects and debt financing to back early-stage commercialization, which historically has only trickled in. This is a crucial enabler of the broader scale necessary across the industry.

What trend or technology should we keep a close eye on?

For western markets to be competitive against China’s manufacturing and innovation capabilities, financial innovation is CRUCIAL. Global markets must deploy an estimated $3 trillion to $9 trillion annually through 2050 on climate-related technologies and project implementations if we aim to mitigate global temperature increases and compete internationally in these arenas. Climate-related investment globally reached only $2 trillion in 2024 and is on a trajectory to match that figure in 2025.

To boost the deployment rate, we must persuade public and private investors that the risk-return profile is favorable enough to deploy capital across the climate capital stack — this includes early-stage ventures, growth-stage ventures, private equity, commercial lending, and private credit, together with infrastructure. Presently, our sector is not drawing enough capital; simply put, risk levels need to diminish or returns need to increase.

There are opportunities for employing risk-sharing strategies to optimize capital structures and lower the financing costs for new technology initiatives, which will also accelerate their descent along the cost curve. Viable solutions include technology and performance risk insurance, surety bonds to handle construction risks, pooling offtake agreements among buyer groups (e.g., hyperscalers for clean power or airlines for SAF), knobby financing gaps in construction, and beyond. Clean Energy Ventures has spent time in 2025 identifying new risk transfer solutions, collaborating closely with our colleagues in finance and insurance sectors. We believe 2026 will witness more innovative financing frameworks facilitating the swifter scaling of climate technologies.

Attention should also shift to cost trends. The impact of AI is emerging but not gaining widespread recognition within climate technology. Within larger corporations and smaller startups, AI is driving cost reductions, prompting quicker innovation in complex facilities and supply chains. This trend is visible across chemicals, mining and refinement, power generation and grid optimization, and manufacturing (steel, cement), recycling, and waste management, among others.

We are still in the early phases of witnessing AI’s effect on cost curves across diverse commodities and sectors. As we discuss the upward influence of power prices driven by AI infrastructure needs, it’s essential to remember that AI will concurrently remodel industries worldwide and lower production costs.

Laurie Menoud, At One Ventures

Data centers have dominated conversations about energy in 2025. What should we expect in 2026?

There’s undeniably been substantial enthusiasm around everything associated with data centers, energy production, storage, transmission, and cooling. However, from a venture capital standpoint, constructing and scaling data centers does not align with startup timelines. It’s a prolonged struggle involving permits, substations, and grid enhancements. To quantify it, hyperscale data centers currently require about three to six years to obtain permits and connect in the U.S. In some contexts, interconnection alone can extend beyond five to seven years. Therefore, in 2026, I expect to observe sustained progress for energy companies not only linked to data centers but capable of expanding into commercial and industrial applications and front-of-the-meter initiatives. Data centers represent one demand influencer, not the entirety of the market.

Additionally related is the supply of essential metals, which I remain highly focused on: mining, extraction, refinement, and recycling. This is critical not only for data centers (particularly copper) but also for EV batteries, which rely on materials such as lithium, nickel, manganese, and cobalt.

Where is the most significant opportunity to discover or place power on the grid?

In regions where thermal (coal and gas) and nuclear facilities are retiring since these locations already possess strong grid connections. Rapidly deploying new clean energy generation at these sites could significantly hasten project timelines. In the U.S. alone, over 60 GW of coal capacity has been retired since 2015, with an additional 40+ GW scheduled for retirement by 2030. Each of these retirements frees up a transmission node that took decades to establish. Harnessing or reusing existing interconnection can often be the deciding factor in establishing whether a project timeline is two years versus eight years. This would facilitate the installation of next-gen nuclear facilities like Stellaria, which reduces long-lived waste, lower capital expense, operational costs, minimizes deployment time, and extends fuel usage, or geothermal solutions like Factor2 Energy, utilizing underground CO2 reservoirs to lessen deployment location constraints.

The same principle applies to industrial sites (chemicals, steel, refineries) that have existing oversized grid connections. These sites are endeavoring to increase production and add storage, achieving a significant challenge: interconnection. If rapid electrification of heavy industries is the goal, focus should be on areas where the grid already exists.

Which climate tech or clean energy startup is most likely to IPO in 2026?

While none can be definitively known, I would closely watch the battery recycling and circular supply chain for critical materials sector. The prices of lithium, nickel, and cobalt are incredibly sensitive to geopolitical forces, and recycling offers a lower-risk, domestic supply for the U.S.

Which technologies do you believe will be ready for larger-scale deployment in 2026?

Relectrify is gearing up to deploy their battery systems at commercial production scales in 2026, targeting a cumulative capacity of 100 MWh. Their strategy uses semiconductor circuitry at the cell-level to control battery cells individually at high frequency, generating a direct alternating current waveform without requiring an inverter anymore, which presents clear wins in CAPEX, enhanced battery lifespan, and lower OPEX through precise identification and replacement of malfunctioning cells. This process is already underway.

Additionally, grid-scale energy storage beyond lithium is essential, driven by both AI data centers and renewable advancements. Without significant storage, maintaining 24/7 clean energy beyond nuclear and hydro is unfeasible. Globally, stationary storage is projected to escalate from approximately 45 GWh in 2023 to hundreds of GWs by 2030. Some of the cutting-edge technologies are already prepared today.

Battery recycling and circular supply chains with automotive manufacturers (recycled lithium, nickel, cobalt, and copper returning for new batteries) are progressing and liquidating into larger scales as well. The year 2026 will undoubtedly emphasize acceleration. Ascend Elements has already constructed North America’s largest lithium-ion battery recycling facility, achieving the first production of recycled lithium carbonate. Presently, most of the U.S. supply of lithium carbonate is imported, primarily from Argentina and Chile. Securing metal supply with lower-cost recycled content represents a considerable advantage.

What trend or technology should we pay additional attention to?

Firms such as Chemfinity, which have the potential to position domestic metal refining on par with China, are noteworthy, as is anything connected to mining, extraction, refinement, and recycling of essential metals for data centers and electric vehicles. Copper is THE metal for data centers, utilized in power cables, busbars, transformers, and cooling loops. A single gigawatt of data center capacity requires tens of thousands of tonnes of copper. Approximately 40% to 45% of the world’s copper refining occurs in China, followed by Chile, mirroring the geographic distribution seen in lithium refining and precursor battery chemistry. Conversations around energy security should focus on this reality.

Joshua Posamentier, managing partner at Congruent Ventures

Data centers have dominated conversations about energy in 2025. What should we expect in 2026?

The push for growth will persist, but the focus will shift from dramatic gigawatt announcements to construction, commissioning, and grappling with the harsh realities of interconnect delays and permitting challenges. Consequently, there will be a significant emergence of “bring your own generation” and “demand flexibility.”

The era of Application Specific Standard Products (ASSPs)/Application Specific Integrated Circuits (ASICs) for AI data centers will commence earnestly. Although GPU demand will continue to grow, this pace is expected to slow in favor of more specialized chips that exhibit far better efficiency, particularly for inference tasks. This shift will progressively decouple data center electricity consumption from token generation.

The unit economics of the leading foundational AI firms will leak, revealing unfavorable indicators. Nevertheless, these sectors will likely convince investors to support them until they achieve positive unit economics, a breakthrough that will materialize sooner than anticipated. However, the allure will wane; these firms will be classified differently from the high-margin SaaS companies from earlier market cycles.

Data centers will enhance their roles as grid participants through adaptability, load management, and power quality, thanks to technology adoption leading to much faster interconnect times compared to other large energy loads — the more technology they embrace, the quicker they will be connected.

In 2026, we will likely witness the first off-grid, world-scale data center notice to proceed (NTP) [a letter instructing a contractor to commence work]. At the same time, expect stronger NIMBY (Not In My Back Yard) resistance to nearby data centers due to a myriad of concerns ranging from energy expenses to size and water usage.

Where is the biggest opportunity to find or place power on the grid?

Nuclear fusion! I anticipate that we will observe the first net gain analysis (i.e., deuterium fusion where it would be Q>1 if it were tritium) within a startup reactor.

Geothermal will be closely following solar in terms of new generation to increase gas asset deployments.

Which climate tech or clean energy startup is most likely to IPO in 2026?

Whether through SPACs or IPOs? Numerous opportunities lie ahead.

What technologies do you think will be ready to deploy at larger scales in 2026?

Geothermal technologies for electricity and district heating. The friction associated with scaling single-site geothermal heat loops still remains too significant to see rapid enhancements beyond current levels. However, thermal energy storage for load management in industrial environments will gain attraction.

What trend or technology should we be paying more attention to?

Robotics (excluding humanoid types) are taking over numerous labor-intensive sectors; they will significantly influence various industries such as manufacturing, agriculture, waste management, and more in 2026.

Logistics and manufacturing efficiency are also in the spotlight: electrification, efficiency enhancements, onshoring, and AI are exerting pressure on emissions across approximately half of the economy, primarily driven by economic, rather than purely impact, motivations. While providing them enduring clarity on lower costs compared to conventional fuels would entice buyers, it pertains to everything from electrified autonomous trucking to electric autonomous rail and hidden terminals.

The demand for resilience technology is set to accelerate significantly. Insurance costs stemming from climate risk are escalating faster than any other expenditures for homeowners, which will also affect commercial enterprises. Businesses and individuals will actively begin investing in resilience, confronting intensifying climate change and extreme weather events, as well as the aging infrastructure and the transition from a centralized to a decentralized resource paradigm.

Matt Rogers, founder at Incite and Mill

Data centers have dominated conversations about energy in 2025. What should we expect in 2026?

Data centers will function as pivotal factories for the next wave of AI innovation, driving America’s societal and economic landscape. I envision that local governments will assume a more active role in 2026, challenging hyperscalers to deliver solutions aligned with community needs, facilitating municipal partnerships that enable quicker construction. Energy affordability is a pressing concern, and reversing the trend of rising costs from 2025 is vital.

Where is the largest opportunity to discover or locate power on the grid?

The initiative for decentralized infrastructure solutions, including rooftop solar, energy storage, and distributed energy resources like heat pumps and smart thermostats, originates from within households in 2026. These options are accessible today and can be swiftly activated in a cost-effective manner, culminating in minimal disruption to grids throughout the nation. The permitting process is quicker than constructing new centralized power plants.

Should sufficient individuals adopt these readily available solutions, America’s grid could better manage the increased capacity from the expansion of data center AI.

Furthermore, there’s a unique opportunity for collaboration: AI innovators and major tech firms seek a quicker, more reliable route for development. Meanwhile, local and state governments are interested in affordability, economic investments, and resilience. This collaborative effort puts communities in a powerful position to negotiate swift permitting and adaptable construction timelines for private-sector-fueled economic revitalization, tax income, and job creation.

By empowering households with efficient tools to reduce utility expenses, hyperscalers will find it easier to access the power required to run AI data centers, resulting in significantly quicker responses. This endeavor is not abstract; rather, it is tangible and practical.

Which technologies do you think will be ready for larger-scale deployment in 2026?

Mill. We plan to implement more Food Recyclers, and at a larger scale than ever before. We are strategizing additional partnerships to persuade more households, businesses, and communities to perceive food as a resource that ought to return to the food system rather than being discarded for weeks in dumpsters or linger for years in landfills.

Robotics will attract considerable funding and private sector interest in 2026. Simultaneously, builders will steer away from hype surrounding humanoid models, moving towards practical robots tailored for specific tasks, thereby improving life quality. The robotics landscape will focus more on functions akin to Roomba than relatable human companions, benefitting from advancements in both affordability and technology risk management.

What trend or technology should we concentrate more on?

In 2026, expect to see significant innovation where AI intersects with the physical world, impacting both infrastructure and consumer application layers. Merging AI with intelligent hardware and physical infrastructure will facilitate the transformation of trillion-dollar sectors, spanning manufacturing to life sciences to food systems. For AI to prop up the future without overwhelming grids or negatively affecting communities, it must be integrated with tangible hardware that addresses challenges and enhances everyday life. The benefits will extend to both AI-driven smartphones and AI-optimized waste facilities.

Kyle Teamey, managing partner at RA Capital Planetary Health

Data centers have dominated conversations about energy in 2025. What should we expect in 2026?

I anticipate that data centers will still hold prominence in 2026. However, my perspective is slightly colored by past experiences from the previous AI cycle—it feels reminiscent of similar conversations. Yet, the scale of investment is remarkably greater. The amount of attention devoted to it is exponentially more significant. Therefore, the resolution of this situation may take considerable time to unfold.

The expenditure allocated for 2026 has already been earmarked. The momentum has begun. Could a bubble burst in 2026? Certainly. Yet, such repercussions may take time to materialize. It could require several months up to a year to truly manifest. It is a formidable task to halt momentum mid-course and attempt to retrieve funds.

Where is the most substantial opportunity to find or place power on the grid?

There has been considerable discourse on this topic, yet the demands related to data and its requirements grow at an exponential rate. In contrast, the power scale increases in a linear fashion. As a result, it may take an extended period for the physical infrastructure to keep pace with the mounting data demands. The possibilities are quite vast — whether it pertains to advancements in power generation, storage, transmission, or distribution; improving grid functionality encompasses an extensive list.

Given the current bull market in electricity, it’s challenging to determine how long this phenomenon has persisted—possibly for about a century? In our assessment, the opportunities abound across various areas. Recent months have seen some entities going public, and it is fair to predict an uptick in this trend.

Which climate tech or clean energy startup is poised for a public offering in 2026?

I foresee a noticeable increase in public companies emerging from the power generation domain in 2026, and this could encompass a wide range of players. Nuclear energy is notably gaining traction currently, and we can likely expect an influx of such companies. Geothermal energy also stands a good chance, and numerous intriguing firms engaged in project development and execution could potentially pursue public status as well. It’s not solely technology firms; rather, those involved throughout the supply chain may also come to the forefront.

Which technologies do you believe will be set for larger-scale deployment in 2026?

Particularly nuclear fission companies have considerable potential for growth. While this may represent a bubble, there is a chance that if certain companies find success in bringing their projects to fruition, it could lead to increased capital inflow to facilitate further rapid expansion.

What trend or technology should we be monitoring closely?

No groundbreaking technologies have surfaced recently that I view as game-changers deserving universal attention. Presently, the emphasis revolves more around scaling many of these technologies. Achieving rapid scale presents a remarkable opportunity.

The various trends are driven not solely by manufacturing demand but also by the regionalization of resources, which is generating substantial requirements for labor, resources, and beyond. The demand is evident across countless sectors.

The top AI-driven dictation applications of 2025

The top AI-driven dictation applications of 2025

In various respects, 2025 marked the real emergence of AI dictation applications. While dictation software has existed for several years, its previous iterations were often slow and imprecise — particularly if one did not adhere to specific accents and clear enunciation.

However, developments in large language models (LLMs) and speech-to-text algorithms have significantly enhanced the ability of these systems to interpret spoken language with improved contextual understanding to format the written text. Developers have also integrated functionalities that automatically format text, eliminate filler words, and disregard mistakes, resulting in text that requires minimal revisions.

With the increasing prevalence of AI technologies, numerous such applications have emerged in the marketplace. Consequently, we have compiled a selection of the most effective and beneficial dictation apps of this year.

Wispr Flow

Wispr Flow is a well-supported AI dictation tool that allows users to input custom vocabulary and instructions for dictation. It is available as native applications on macOS, Windows, and iOS, with an Android version currently in development.

The application enables you to tailor the transcription process by selecting from “formal,” “casual,” and “very casual” writing styles for various contexts, including personal messages, professional work, and emails. Furthermore, if you utilize vibe-coding tools like Cursor, a feature can be activated to automatically identify variables or tag files in conversation.

You can dictate up to 2,000 words each month without charge on any desktop version, while the iOS version permits 1,000 words monthly at no cost. Subscription options provide unlimited transcription capabilities, beginning at $15 per month.

Image Credits:Wispr Flow

Willow

Willow promotes itself as a significant time-saver for individuals who prefer not to type. In addition to standard functionalities like automatic editing and formatting, it features a capability that leverages large language models to produce substantial blocks of text from just a few dictated phrases.

Willow also takes a more privacy-centric approach to AI-enhanced note-taking by storing all transcripts directly on your device, allowing users to opt out of model training if they wish. It also supports custom vocabulary additions to adapt to industry-specific language or local dialects.

Image Credits:Willow

Willow allows users to dictate 2,000 words per month for free via its desktop application. Individual subscription plans commence at $15 monthly, providing unlimited dictation and facilitating the app’s capacity to remember your unique writing style.

Monologue

For those prioritizing privacy, Monologue offers the option to download its model for on-device transcriptions, bypassing the need to transmit data to the cloud. Additionally, users can personalize the tone of voice to align with the applications they utilize alongside it.

Monologue allows for dictation of 1,000 words per month at no charge, with subscriptions available for $10 monthly or $100 annually. For frequent users, the company provides a unique Monokey to complement the app.

Superwhisper

Superwhisper primarily functions as a dictation application but also offers transcription services for audio or video files. The app empowers users to select and download AI models, including its own varying in speed and accuracy, as well as Nvidia’s Parakeet speech-recognition models.

It also allows users to create custom prompts to direct the output. You can conveniently view both processed and unprocessed transcripts integrated with the system keyboard.

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The fundamental voice-to-text functionality is free, and you can explore Pro features such as translation and transcription for 15 minutes. The paid tier grants you access to employ your own AI API keys, plugging in both cloud-based and local models without limitations.

The monthly subscription costs $8.49, the annual plan is priced at $84.99, or you can opt for a lifetime subscription at $249.99.

VoiceTypr

The VoiceTypr application adopts an offline-first, subscription-free model, permitting you to utilize local models for transcription. A GitHub repository is also available for those interested in hosting and managing the open-source version independently. VoiceTypr accommodates over 99 languages and operates on both Mac and Windows platforms.

The app provides a three-day free trial, after which you can purchase a lifetime license. Prices are set at $35 for a single device, $56 for two, and $98 for four devices.

Aqua

Aqua is yet another Y Combinator-funded voice-typing client for Windows and macOS, touted as one of the swiftest tools in its category regarding latency.

In addition to managing grammar and punctuation, Aqua enables users to autofill text by dictating phrases — for example, saying “my address” will prompt Aqua to type in your address.

The application also features its own speech-to-text API for integration with other applications.

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The free version allows for 1,000 words per month, while payment plans commence at $8 per month (with annual billing) and provide unlimited words along with 800 custom dictionary entries.

Handy

Handy is a free, open-source transcription tool compatible with Mac, Windows, and Linux. Though the application is quite basic and lacks extensive customization, it serves as a solid option for those wishing to begin using their voice more frequently without incurring costs.

The application includes a simple settings menu that allows for toggling push-to-talk and modifying the hotkey that activates the transcription function.

Typeless

Typeless presents itself as another app in this sector with a generous free word limit. The company asserts that it does not store any data or utilize it for model training. Typeless also offers improved sentence suggestions for users who may have misphrased a line.

The application permits dictation of up to 4,000 words each week (approximately 16,000 words monthly) under its free tier. A subscription can be purchased for $12 monthly (billed annually) to unlock unlimited words and access new features. Typeless is currently available exclusively for Windows and macOS.

VCs anticipate that businesses will increase their spending on AI in 2026 â€” by utilizing fewer suppliers

VCs anticipate that businesses will increase their spending on AI in 2026 â€” by utilizing fewer suppliers

For the past few years, enterprises have been experimenting with various AI tools to determine their strategies for adoption. Investors believe that this phase of exploration is drawing to a close.

TechCrunch recently conducted a survey of 24 venture capitalists focused on enterprises, revealing that a significant majority anticipates an increase in enterprise AI budgets for 2026 — although not universally. Most investors indicated that this budget augmentation will be selective, with many enterprises likely allocating more resources to fewer contracts.

Andrew Ferguson, a vice president at Databricks Ventures, foresees that 2026 will mark a pivotal moment when enterprises begin to consolidate their investments and select frontrunners.

“Currently, enterprises are experimenting with numerous tools for singular use cases, and there’s a surge of startups targeting specific purchasing areas such as [go-to-market], making it challenging to identify distinctions even during [proof of concepts],” Ferguson noted. “As enterprises witness tangible results from AI, they will trim some of the experimentation budget, streamline redundant tools, and reallocate that savings toward the AI technologies that have proven effective.”

Rob Biederman, a managing partner at Asymmetric Capital Partners, concurred. He anticipates that enterprise firms will not only narrow their individual spending but that the overall enterprise landscape will also restrict its AI expenditures to a small number of vendors throughout the industry.

“Budgets will rise for a limited selection of AI products that evidently produce results and will sharply decrease for all others,” Biederman said. “We foresee a bifurcation where a select few vendors capture a disproportionate portion of enterprise AI budgets while many others experience stagnant or declining revenues.”

Targeted investments

Scott Beechuk, a partner at Norwest Venture Partners, believes that enterprises will amplify their spending on tools that enhance the safety of AI for enterprise use.

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“Enterprises are now acknowledging that the true investment lies within the safety and oversight measures that ensure AI reliability,” Beechuk stated. “As these features advance and lower risks, organizations will gain the confidence to transition from pilots to broader deployments, leading to an increase in budgets.”

Harsha Kapre, a director at Snowflake Ventures, forecasts that enterprises will allocate funds for AI in three specific areas in 2026: enhancing data foundations, optimizing models post-training, and consolidating tools.

“[Chief investment officers] are actively working to minimize [software-as-a-service] sprawl and are leaning towards unified, intelligent systems that reduce integration costs and provide quantifiable [return on investment],” Kapre remarked. “AI-enabled solutions are likely to benefit most from this transition.”

A transition away from experimentation and towards consolidation will impact startups. However, the precise nature of this effect remains unclear.

AI startups might find themselves facing a reckoning similar to that which SaaS startups experienced a few years back.

Companies with unique, hard-to-duplicate products such as niche solutions or those based on proprietary data will probably continue to thrive. In contrast, startups offering products comparable to those of major enterprise suppliers, like AWS or Salesforce, might begin to see a reduction in pilot projects and funding availability.

Investors are also aware of this potential outcome. When asked how they can identify an AI startup with a competitive edge, several VCs noted that firms boasting proprietary data and products not easily replicable by a tech giant or large language model company are the most secure.

If the investor forecasts prove accurate and enterprises do start to optimize their AI spending next year, 2026 could be a year of increased enterprise budgets, yet many AI startups may not receive a larger share of the market.

The leading 26 consumer/edtech firms from Disrupt Startup Battlefield

The leading 26 consumer/edtech firms from Disrupt Startup Battlefield

Annually, TechCrunch’s Startup Battlefield pitch contest attracts thousands of applicants. We narrow down those submissions to the top 200 candidates, and from those, the top 20 vie on the grand stage to claim victory, claiming the Startup Battlefield Cup and a monetary award of $100,000. However, the other 180 startups also impressed us greatly in their respective sectors and compete in their own pitch contests.

Below is the complete list of the consumer/edtech Startup Battlefield 200 nominees, including a note on their inclusion in the competition. 

Ahoi 

What it does: Assists individuals in locating venues that accommodate those with limited mobility.  

Why it’s noteworthy: Their inclusive technology enhances accessibility for individuals who may find it challenging to locate suitable locations for their needs.  

AllFocal Optics Limited 

What it does: Implements nanophotonic technology to develop lenses that improve visual sharpness.  

Why it’s noteworthy: The firm claims it has developed groundbreaking technology to assist people, particularly those suffering from headaches and dizziness, in enduring extended reality experiences.  

Billight 

What it does: Billight is a light-emitting pool table.  

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Why it’s noteworthy: It claims to be the first illuminated pool table and gaming system.  

Cerca Dating  

What it does: This Gen Z dating application is reviving the traditional meeting method — through mutual acquaintances.  

Why it’s noteworthy: It represents the latest take on a dating app amid a period of burnout from romance apps, aiming to showcase that digital love still exists.  

FounderWay.ai 

What it does: A platform that enables startups to grow by offering business guidance on subjects such as crafting a pitch deck or identifying target markets.  

Why it’s noteworthy: The platform utilizes AI to provide answers to some of the most critical questions founders often face — how to effectively operate and expand a business. It offers a more straightforward approach than searching for information across various sources individually.  

Hotel Treats 

What it does: A platform that enables luxury hotels to supply customers with vouchers for amenities like spas and dining.  

Why it’s noteworthy: The platform permits hotels to generate revenue from day passes while simultaneously offering consumers an opportunity to indulge in a unique luxury experience, all without needing to pay substantial amounts and stay overnight at the hotel.  

Jotto 

What it does: A business that develops QR codes for events and venues, allowing attendees to provide feedback and reviews.  

Why it’s noteworthy: It’s a fascinating product that also provides a method for individuals to give feedback via video or voice recording.  

Nim 

What it does: A platform that permits users to generate AI-driven videos.  

Why it’s noteworthy: It’s part of the wave of AI video startups emerging, but it stands out by providing a comprehensive service, including prompt support and a plethora of reusable clips.  

Perfingo 

What it does: Perfingo serves as a financial planning instrument.&nbsp.

Why it’s noteworthy: It proclaims to be the first of its kind in its base location of Singapore.  

Pintours 

What it does: Pintours functions as a tour-booking platform.  

Why it’s noteworthy: It acts as an AI tour guide, enabling users to navigate a tour independently and customize the experience as they choose.  

Prickly Pear Health 

What it does: Prickly Pear offers a voice AI companion for women that oversees brain health.&nbsp.

Why it’s noteworthy: This isn’t a mere chatbot, but an AI that is trained to interpret shifts in language and context which may signal cognitive challenges, particularly those induced by hormonal alterations experienced by women in their 30s to 50s. 

rax 

What it does: Rax serves as a peer-to-peer clothing rental service.  

Why it’s noteworthy: The victor of the premier consumer pitch, Rax claims to be among the first to launch in Canada and has recently announced a venture into the U.S. market.  

Rent a Cyber Friend

What it does: Facilitates connections between individuals seeking friends in their professional fields online.&nbsp.

Why it’s noteworthy: Differentiating from a typical social network, this application aids users in discovering potential friendships and includes functionalities such as video calls and chats to foster new connections. 

Renude 

What it does: Renude provides an AI-driven skin care recommendation platform for beauty brands.&nbsp.

Why it’s noteworthy: Utilizing computer vision AI and LLMs, this e-commerce solution enables skin care companies to deliver personalized product suggestions to each client.&nbsp.

Snap Discovery AG 

What it does: Presents a brain-computer interface designed for hands-free interactions in daily life.&nbsp.

Why it’s noteworthy: Snap integrates with the game development platform Unity and is suited for various applications, ranging from gaming to stress management.&nbsp.

Tasteit 

What it does: Tasteit is an application that assists individuals in finding dining companions.&nbsp.

Why it’s noteworthy: Tasteit promotes itself as the anti-dating app, emphasizing its mission to utilize food and restaurant outings as a means for people to connect and meet.&nbsp.

Tattd 

What it does: Tattd is an AI-centric app facilitating the discovery and booking of tattoo artists.&nbsp.

Why it’s noteworthy: The startup employs generative AI to produce a design mock-up that is subsequently matched with a tattoo artist whose style corresponds with that mock-up.&nbsp.

Vista InnoTech Limited 

What it does: Vista InnoTech has developed technology that enhances photos by mitigating the impacts of accidental movement or unstable environments.&nbsp.

Why it’s noteworthy: They’ve introduced a device known as the Micro Gimbal Stabilizer, compact enough for incorporation into most mobile gadgets, that functions effectively even in dim lighting conditions.&nbsp.

Young Minds App 

What it does: An app for parental controls that monitors and prevents children from partaking in unsafe online activities.&nbsp.

Why it’s noteworthy: The application encourages children’s wise online decisions and features a distraction-blocking option during study periods.&nbsp.

ZoraSafe 

What it does: ZoraSafe recognizes and shields users from scams.&nbsp.

Why it’s noteworthy: Targeting families and elderly individuals, ZoraSafe analyzes links and messages to guard against scams, including those involving deepfakes and social manipulation. It further provides features like AI coaching.&nbsp.

Edtech

Calificadas 

What it does: AI-enabled training to enhance employee communication skills in the workplace.&nbsp.

Why it’s noteworthy: This app for professional growth was crafted with diversity, equity, and inclusion at its core and leverages AI to assist users in refining their word choices, message formats, and even their nonverbal communication styles.&nbsp.

CampusAI 

What it does: CampusAI provides a versatile platform focused on training users about AI.

Why it’s noteworthy: The platform is designed to benefit everyday users looking to implement AI to enhance their work across various fields, including sales, HR, legal, and more.  

General Neuro 

What it does: The NeuroLingo headset aids individuals in acquiring a foreign language.&nbsp.

Why it’s noteworthy: This headset creates an environment that facilitates language acquisition in conjunction with a matching app.&nbsp.

Readmio 

What it does: A storytime application designed for parents and children.&nbsp.

Why it’s noteworthy: The app follows the text as it is read aloud, automatically incorporating sounds and music at specific parts, making the stories more engaging.&nbsp.

Super Teacher 

What it does: Super Teacher provides an AI-based tutor for elementary education.&nbsp.

Why it’s noteworthy: This AI tutor delivers customized instruction and assessments for classroom usage, with round-the-clock access for students at home.&nbsp.

ZEZEDU Corp. 

What it does: Zezedu is an AI-enabled solution, crafted in South Korea, that provides tailored math education.  

Why it’s noteworthy: A mathematics instructional tool for educational institutions and institutes that monitors assignments, grading, and feedback while offering individualized curriculum.&nbsp.

Here’s what you need to understand regarding the US TikTok agreement

Here’s what you need to understand regarding the US TikTok agreement

TikTok, which is managed by the Chinese firm ByteDance, has found itself embroiled in controversy in the U.S. for the past four years owing to fears regarding user data possibly being accessed by the Chinese authorities.

Consequently, users in the U.S. have frequently felt trapped within this conflict. Earlier this year, the app faced a brief outage in the U.S. that left millions of users on edge before it was swiftly restored. In February, TikTok made its return to both the App Store and Google Play Store. 

Several investors vied to acquire the app, and with Trump having extended the TikTok ban deadline for the fourth time, the competition has finally reached its conclusion. As of last week, TikTok has officially sealed a deal to divest a segment of its U.S. operations to a coalition of American investors.

This agreement comes almost three months after President Donald Trump enacted an executive order approving the sale of TikTok’s U.S. operations to a group of American investors.

Just a week earlier, President Trump revealed that President Xi Jinping of China had granted his endorsement of a TikTok deal, enabling a consortium of U.S. investors to manage the platform. ByteDance publicly assured it would maintain the platform’s accessibility for American users.

Who possesses TikTok in the U.S.?

TikTok logo superimposed on Supreme Court building
Image Credits:Bryce Durbin / TechCrunch

As per a memo obtained by TechCrunch, the investor group includes Oracle, the private equity firm Silver Lake, and the investment firm MGX. Together, they will possess 45% of the U.S. operation, while ByteDance will retain approximately a 20% ownership. Axios was the first to report the information, citing sources estimating TikTok U.S. to be valued at around $14 billion — a valuation also noted by Vice President JD Vance.

In September, reports indicated that a “framework” deal had been established between the U.S. and China, involving a consortium of investors — including Oracle, Silver Lake, and Andreessen Horowitz — overseeing TikTok’s U.S. operations. These investors were anticipated to hold an 80% stake, while the remaining shares would be owned by Chinese stakeholders.

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The newly established “TikTok USDS Joint Venture LLC” will manage the app’s operations, which include data security, algorithm integrity, content oversight, and software reliability.

According to the memo, Oracle will act as the designated security partner, charged with auditing and ensuring adherence to National Security Terms. The company already supplies cloud solutions for TikTok and handles user data within the U.S. Notably, Oracle had previously attempted to acquire TikTok in 2020.

A White House official had earlier stated that Oracle would duplicate and secure a new U.S. version of the algorithm, allowing U.S.-based TikTok proprietors to lease the algorithm from ByteDance, which Oracle will then retrain. 

ByteDance will not have access to data regarding TikTok’s U.S. users or any control over the U.S. algorithm.

The transaction is set to be finalized by January 22, 2026.

What U.S. users ought to know

Reports from Bloomberg suggest that once the agreement is finalized, the TikTok app will be phased out in the U.S., and users will need to migrate to a different platform. Nonetheless, the details of this platform are predominantly uncertain, encompassing its features and how it will diverge from the original app. 

How did we arrive at this point?

Donald Trump speaking into a microphone against a backdrop of the sky. He is gesticulating with his hands.
Image Credits:Mandel Ngan (opens in a new window) / Getty Images

To grasp the full scope of this high-stakes saga, we must first revisit the timeline of TikTok’s contentious relationship with the U.S. government, which led to numerous legal battles and negotiations. 

The saga initially unfolded in August 2020, when Trump issued an executive order to restrict transactions with the parent company ByteDance. 

A month later, Trump’s administration endeavored to compel a sale of TikTok’s U.S. operations to an American company. The primary contenders were Microsoft, Oracle, and Walmart. However, a U.S. judge temporarily halted Trump’s executive order, enabling TikTok to keep operating as the legal proceedings continued. 

Progress resumed last year with the transition to the Biden administration. Following the Senate’s passage of a bill against TikTok, President Joe Biden signed it.

In retaliation, TikTok filed a lawsuit against the U.S. government, contesting the legality of the ban and claiming that the app and its American users were having their First Amendment rights breached. The company has consistently refuted the notion that it poses a security risk, maintaining that its data stored in the U.S. adheres to all local regulations.

Fast-forward to now: Trump has shifted his stance since his initial term and is pursuing a 50-50 ownership split between ByteDance and a U.S. company. 

Various contenders have emerged, including The People’s Bid for TikTok, a consortium led by Project Liberty founder Frank McCourt. This group is backed by investment firm Guggenheim Securities and the law firm Kirkland & Ellis. Supporters encompass Reddit co-founder Alexis Ohanian, TV figure and investor Kevin O’Leary, World Wide Web inventor Tim Berners-Lee, and senior research scientist David Clark.

Image Credits:Justin Sullivan / Getty Images

Another competing group, the American Investor Consortium, is spearheaded by Employer.com founder Jesse Tinsley and includes Roblox co-founder David Baszucki, Anchorage Digital co-founder Nathan McCauley, and renowned YouTuber MrBeast.

Additional contenders have included Amazon, AppLovin, Microsoft, Perplexity AI, Rumble, Walmart, Zoop, former Activision CEO Bobby Kotick, and former U.S. Treasury Secretary Steven Mnuchin.

The narrative has been updated following publication.

Meta has recently acquired Manus, an AI startup that has been the subject of much discussion.

Meta has recently acquired Manus, an AI startup that has been the subject of much discussion.

Mark Zuckerberg has made another move.

Meta Platforms is set to acquire Manus, an AI startup based in Singapore that has generated significant buzz in Silicon Valley since its launch last spring with a demo showcasing an AI agent performing tasks like screening job applicants, organizing vacations, and evaluating stock portfolios. At the time, Manus claimed it surpassed the capabilities of OpenAI’s Deep Research.

In April, shortly after its debut, venture capital firm Benchmark spearheaded a $75 million funding round that valued Manus at $500 million post-money, with Benchmark general partner Chetan Puttagunta joining Manus’ board. Reports from Chinese news sources indicated that other prominent investors had already backed Manus, including Tencent, ZhenFund, and HSG (formerly Sequoia China) with a $10 million investment.

The company revealed in mid-December that it has acquired millions of users and is producing annual recurring revenue exceeding $100 million from its subscription service.

Around this time, Meta began discussions with Manus, according to the WSJ, which reports that the tech giant is paying $2 billion — the valuation Manus was reportedly pursuing for its upcoming funding round.

For Zuckerberg, who has aligned Meta’s vision with AI, Manus signifies a new opportunity: an AI product that is already profitable. This is particularly relevant as investors have become increasingly anxious about Meta’s $60 billion infrastructure investment and the tech sector’s debt-financed outlays for data center development.

Meta has stated that it will allow Manus to operate independently while integrating the startup’s AI agents into Facebook, Instagram, and WhatsApp, where Meta’s own chatbot, Meta AI, is already accessible to users.

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There is, however, an issue: Manus’ founders, originating from China, established its parent company, Butterfly Effect, in Beijing in 2022 before relocating to Singapore in the middle of this year. Whether this will raise concerns in Washington is yet to be determined, but Senator John Cornyn has already criticized Benchmark for its investment in the firm, echoing worries in May about American funds being funneled to a Chinese entity.

Cornyn, a Republican from Texas and a senior figure on the Senate Intelligence Committee, has consistently been one of Congress’ most outspoken advocates regarding China and tech competition, though he is not alone. Adopting a tough stance against China has emerged as one of the few truly bipartisan topics in Congress.

It comes as no surprise that Meta has informed Nikkei Asia that post-acquisition, Manus will sever its connections with Chinese financiers and will cease operations in China. “There will be no ongoing Chinese ownership interests in Manus AI following the transaction, and Manus AI will halt its services and operations in China,” a Meta spokesperson conveyed to the outlet.

How to ensure your startup distinguishes itself in a saturated market, as per investors

How to ensure your startup distinguishes itself in a saturated market, as per investors

At TechCrunch Disrupt, three investors stepped onto the stage to analyze the elements that can either enhance or undermine a pitch deck. Jyoti Bansal, a founder-turned-investor; Medha Agarwal from Defy; and Jennifer Neundorfer of January Ventures conveyed their honest opinions to the audience regarding what is effective in a pitch deck and what isn’t.

Their main frustration? Overuse of buzzwords.

According to Agarwal, the more frequently a founder mentions AI in their pitch, the less likely it is that the company effectively utilizes AI. “Those who are genuinely innovating will reference it, and it’s integrated into their work, but it’s not the focal point of their pitch,” she explained to the attendees.

Bansal, who has created and sold several businesses before transitioning to investment, summarized what investors expect into three essential questions. First, he inquires whether there’s a sufficiently large market to address. Does the founder’s concept have the capability to evolve into a significant enterprise? And is the issue they are addressing genuinely worth addressing?

Secondly, investors seek to understand why this particular founder is the right person to lead the company. “There must be something distinctive about you,” Bansal noted, mentioning that this could involve possessing exceptional team members or unique skills. “What makes you the victor? If the problem is compelling, there will likely be numerous other companies attempting to resolve it, so what makes you the one to succeed and what’s your edge?”

The third aspect investors look for, Bansal mentioned, is some form of validation. “Customer traction,” he stated. “Validation could stem from initial customer input, revenue, or another form, but some sort of validation is crucial.”

These three inquiries, Bansal emphasized, ultimately lead to the critical question: Could this venture grow into a billion-dollar company?

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The panel also discussed how AI startups can set themselves apart as competition intensifies. Bansal highlighted the necessity of specialized knowledge and a well-defined competitive approach. Neundorfer remarked that the companies that draw her interest are those that facilitate new behaviors instead of merely enhancing existing processes step-by-step.

Agarwal provided more pragmatic advice for founders, suggesting they clarify how AI technology powers their product; outline direct go-to-market approaches; and prove how their business will function more efficiently than established players.

It’s also essential to be transparent about the competitors in the field, she mentioned. “Some of you have lost a bit of credibility with me because you did not mention them on your slide,” she told the founders present.

In conclusion, the investors offered guidance on navigating the swiftly changing landscape. Agarwal encouraged founders to keep abreast of industry trends. Neundorfer advised maintaining connections within founder networks to exchange tools and insights.

Bansal’s advice was more straightforward: “Concentrate on developing your product.”

According to executives in the creator economy, social media follower numbers have become less significant than ever.

According to executives in the creator economy, social media follower numbers have become less significant than ever.

As social media becomes more dependent on algorithmic feeds, content creators are adapting to a new reality: Posting something doesn’t guarantee your audience will see it.

“I believe 2025 marked the year when algorithms completely dominated, rendering follower counts meaningless,” LTK CEO Amber Venz Box stated to TechCrunch.

This revelation isn’t new for creators — Patreon CEO Jack Conte has passionately highlighted this issue for years — but throughout the year, the broader industry has responded to this shift in various manners, spanning from influencers to streamers.

According to the executives TechCrunch interviewed regarding the impending future of the creator economy, content creators are discovering new methods to foster and nurture connections with their audiences — some serving as remedies to AI clutter, while others are inundating the space with a fresh kind of clutter themselves.

Box’s firm, LTK, links creators with brands via affiliate marketing, where creators earn commissions on recommended products. This business model wholly relies on audiences maintaining faith in individual creators. With worries about fragmentation in the creator-audience connection, this could pose a significant risk to the company.

However, a study commissioned by Northwestern University revealed that trust in creators rose by 21% year-over-year, which pleasantly surprised Box.

“If you had asked me at the start of 2025, ‘Will trust in creators increase or decrease?’ I would’ve likely said decrease, as people realize it’s a business — they comprehend how it functions,” she remarked. “However, AI has led people to shift their trust towards real individuals with genuine experiences.”

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By this, Box implies that consumers are increasingly inclined to seek out content from the creators they recognize and trust. The study indicated that 97% of chief marketing officers plan to increase their influencer marketing budgets in the upcoming year.

Nonetheless, managing these relationships isn’t simple. LTK creators, dependent on affiliate earnings, are counting on this AI-induced skepticism to guide audiences toward more direct interactions through paid fan communities or less algorithm-centric platforms like LTK. For different types of creators, such as streamers, video podcasters, and short filmmakers, the approach to maintaining their audience often resembles growth hacking.

Clipping armies of teenagers

As Sean Atkins, CEO of the short-form video production company Dhar Mann Studios, expressed, “In a world dominated by AI and algorithms, where individuals trust other humans more amidst the micro division of attention, how do you market when control is elusive?”

Eric Wei, co-founder of Karat Financial, a financial service for creators, pointed out that creators possess a new advantage: teams of teenagers on Discord whom creators compensate for clipping their content, which those same teenagers then share extensively on algorithm-driven platforms.

“This has been happening for a while,” Wei explained. “Drake does it. Many of the largest creators and streamers engage in this — Kai Cenat [a leading Twitch streamer] participates — generating millions of impressions… If it’s algorithmically driven, clipping makes perfect sense, as it can originate from any random account with high-quality clips.”

Wei anticipates that clipping will gain even more traction this year as a response to the fragmentation in social media relationships. Even the most prominent creators face challenges in reaching their fans directly, which drives them toward clipping. While achieving virality on these algorithmic platforms is certainly easier with a substantial follower base, there’s no requirement for a prior record on a platform to determine whether a video should be widely shared. Thus, if these “clippers” share a brief highlight from specific creators’ streams, they can profit based on the views the video garners.

“Clipping seems like an evolution of meme accounts,” Glenn Ginsburg, president of QYOU Media, which creates content for younger audiences, conveyed to TechCrunch. “It has become a competition among creators to take this content and disseminate it broadly, almost racing to see who can amass the most views on the same intellectual property.”

Reed Duchscher — founding CEO of Night, the talent management agency representing Kai Cenat and other leading creators — expertly guides creators in maximizing their virality. As MrBeast’s former manager, Duchscher fostered the fast-paced, attention-grabbing style that transformed MrBeast from a YouTuber into an empire. He also oversees Kai Cenat’s clipping strategy, although Duchscher doesn’t share Wei’s enthusiasm regarding its wider potential.

“Clipping is crucial for a creator, as you need to saturate the space with content, and it’s a great method to increase visibility,” Duchscher stated to TechCrunch. “However, it’s also quite challenging to scale, as there are only a limited number of clippers online, making substantial media investments complicated.”

Perhaps clipping is effective now because the strategy has not yet gained such prevalence that it’s perceived as spam.

“The creator benefits by getting more of their content out,” Wei mentioned. “The clippers benefit because this group of teenagers is receiving payment. Everyone benefits, except that if this trend continues, we may end up with a surfeit of low-quality content.”

Niche appeal prevails

The rise of low-quality content on social media has become significant enough that Merriam-Webster designated slop as its word of the year.

“Over 94% of individuals claim social media is no longer social, and more than half are reallocating their time to smaller, niche communities that they know are genuine and that they can engage with,” Box noted, referencing platforms like Strava, LinkedIn, and Substack. 

As the connection between a creator and their audience grows increasingly challenging, Duchscher anticipates that creators with more defined niches will thrive — he believes that “macro creators” like MrBeast, PewDiePie, or Charli D’Amelio, who gather hundreds of millions of followers, will become even more difficult to replicate.

Citing success stories like Alix Earle or Outdoor Boys, who boast millions of followers but lack widespread appeal, Duchscher emphasizes, “Algorithms have become adept at presenting us with precisely the content we desire. It’s increasingly tough for a creator to break into every specific algorithm.” 

Atkins concurs, asserting that the creator economy encompasses much more than merely entertainment. “The creator economy is often viewed through the entertainment lens, which I consider a mistake, as contemplating the creator economy is somewhat akin to thinking about the internet or AI — it’s set to influence everything.”

Atkins cites the gardening creator brand Epic Gardening as an illustration. What began as a YouTube channel now holds a tangible, significant position in the gardening sector.

“Epic Gardening acquired the third-largest seed company in the United States, so now he’s the third-largest seed company [owner], as a content creator,” he remarked.

Although the creator economy is in a state of flux, it remains a robust industry — one well-versed in navigating the whims of the algorithm, persevering for decades, even if those unfamiliar may view it as an entirely new domain.

Creators are “literally influencing everything,” Atkins stated. “I bet there’s a content creator who specializes in cement mixing for skyscrapers.”

2025 marked the year AI underwent a vibe assessment

2025 marked the year AI underwent a vibe assessment

In the early months of 2025, the AI sector had no limits on funding. However, a shift in atmosphere began to emerge during the latter half of the year. 

OpenAI successfully secured $40 billion at a staggering $300 billion valuation. Safe Superintelligence and Thinking Machine Labs each garnered $2 billion in seed funding prior to launching any products. Even novice founders attracted investments on a scale previously reserved for major technology companies. 

These enormous investments were matched by equally impressive expenditures. Meta spent close to $15 billion to secure Scale AI CEO Alexandr Wang and invested many more millions to lure talent from competing AI labs. At the same time, the largest players in AI committed to nearly $1.3 trillion for future infrastructure development. 

The first half of 2025 retained the enthusiasm and investor interest seen in the previous year. Recently, though, this sentiment has shifted, prompting a kind of reality check. Extreme enthusiasm for AI and the associated lofty valuations persist, yet this optimistic outlook is now mingled with worries about a potential AI bubble, user safety, and the feasibility of sustaining technological advancements at such a rapid pace. 

The period of unreserved endorsement and celebration of AI is slightly receding. With it comes increased scrutiny and inquiries. Can AI firms maintain their growth rate? Does scalability in the post-DeepSeek landscape necessitate billions? Is there a viable business model that can generate a fraction of the multi-billion investments? 

We’ve observed every development closely. Our most read stories of 2025 reveal the underlying truth: an industry encountering a reality check while proclaiming its intent to alter reality itself. 

How the year commenced

Image Credits:Andrew Harnik / Getty Images

The largest AI laboratories expanded significantly this year. 

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In 2025 alone, OpenAI secured a SoftBank-led round of $40 billion at a post-money valuation of $300 billion. Reports suggest that the company has investors like Amazon interested through compute-related deals and is in negotiations to raise $100 billion at an $830 billion valuation. This would position OpenAI closer to the $1 trillion valuation it allegedly aims for in an upcoming IPO next year. 

Competitor Anthropic also raised $16.5 billion this year through two rounds; its latest funding round increased its valuation to $183 billion with backing from significant players like Iconiq Capital, Fidelity, and the Qatar Investment Authority. (CEO Dario Amodei revealed in a leaked memo that he felt “not excited” about taking funds from authoritarian Gulf states.) 

Then there’s Elon Musk’s xAI, which attracted at least $10 billion this year after taking over X.

Additionally, we’ve observed smaller, emerging startups gaining momentum from eager investors. 

Former OpenAI chief technologist Mira Murati’s venture, Thinking Machine Labs, landed a $2 billion seed round at a $12 billion valuation despite disclosing minimal details about its product lineup. Vibe-coding startup Lovable raised $200 million in a Series A funding round just eight months after its inception; this month, Lovable secured an additional $330 million at a nearly $7 billion post-money valuation. Not to be overlooked, AI recruiting startup Mercor raised $450 million this year across two funding rounds, the most recent elevating its valuation to $10 billion. 

Such extraordinarily high valuations continue to occur despite relatively low enterprise adoption rates and significant infrastructure challenges, fueling anxieties about a potential AI bubble. 

Build, baby, build

Image Credits:Ulysse BELLIER / AFP / Getty Images

For larger companies, these figures don’t manifest out of thin air. To validate those valuations, massive infrastructure development is essential. 

This has resulted in a self-perpetuating cycle. Capital raised to support computing is becoming increasingly linked to agreements where those same funds are redirected back into chips, cloud services, and energy, as illustrated by OpenAI’s funding tied to Nvidia’s infrastructure. In practice, this obscures the line between investment and customer demand, raising concerns that the AI boom is being sustained by circular economics rather than genuine usage.

Some of the most significant deals this year fueling the infrastructure expansion included: 

  • Stargate, a cooperative venture involving SoftBank, OpenAI, and Oracle, which allocates up to $500 billion for AI infrastructure in the U.S. 
  • Alphabet’s purchase of energy and data center infrastructure provider Intersect for $4.75 billion, coinciding with the company’s announcement in October to increase its compute expenditure to $93 billion in 2026.
  • Meta’s expedited expansion of data centers, elevating its projected capital expenditures to $72 billion in 2025 as the company strives to secure adequate compute resources for training and operating next-generation models. 

Nevertheless, signs of instability are beginning to surface. A financial partner, Blue Owl Capital, recently withdrew from a planned $10 billion Oracle data center deal associated with OpenAI capacity, highlighting the fragility of some financial arrangements. 

Whether all this expenditure will materialize remains uncertain. Grid limitations, skyrocketing construction and energy costs, along with mounting opposition from residents and policymakers — including calls from figures like Sen. Bernie Sanders for restrictions on data center growth — are already stalling projects in various areas. 

Even as AI investments remain substantial, the reality of infrastructure is starting to moderate the excitement. 

The expectation reset

In this photo illustration, the DeepSeek logo is seen next to the Chat GPT logo on a phone.
Image Credits:Anthony Kwan / Getty Images

During 2023 and 2024, each significant model release seemed groundbreaking, showcasing new capabilities and fresh motivations to embrace the hype. This year, however, the allure waned, epitomized by OpenAI’s GPT-5 launch. 

Although it carried weight on paper, it didn’t resonate like earlier releases such as GPT-4 and 4o. Similar trends were apparent across the sector, where advancements from LLM providers were less revolutionary and instead more gradual or domain-specific. 

Even Gemini 3, which excels in various benchmarks, was only significant in that it allowed Google to regain parity with OpenAI — leading to Sam Altman’s notorious “code red” memo and OpenAI’s struggle to retain its dominance.

This year also saw a shift in expectations regarding the emergence of frontier models. The launch of DeepSeek’s R1, its “reasoning” model that competed with OpenAI’s o1 on essential benchmarks, demonstrated that new labs could produce credible models quickly and at a fraction of the cost. 

From model breakthroughs to business models

Demis Hassabis, chief executive officer of DeepMind Technologies.Image Credits:Jose Sarmento Matos/Bloomberg / Getty Images

As the magnitude of advances between new models narrows, investors are shifting their focus away from mere model capacity to what surrounds that core technology. The pressing question is: Who can transform AI into products that customers will depend on, financially commit to, and seamlessly integrate into their workflows? 

This transformation is manifesting in numerous ways as companies identify effective strategies and discover what consumers are prepared to accept. AI search startup Perplexity, for instance, briefly entertained the possibility of monitoring users’ online activities to deliver highly personalized advertisements. Concurrently, OpenAI was rumored to be contemplating charging up to $20,000 each month for specialized AI, indicative of how aggressively firms are probing what customers may be willing to spend.

Above all, attention has shifted to distribution. Perplexity aims to remain relevant by introducing its own Comet browser with autonomous capabilities and paying Snap $400 million to enhance search in Snapchat, effectively purchasing entry into established user pathways. 

OpenAI is pursuing a similar approach, working to evolve ChatGPT from a mere chatbot into a full-fledged platform. The organization has introduced its own Atlas browser and additional consumer-oriented features such as Pulse, while also appealing to enterprises and developers through app launches within ChatGPT itself. 

Google is leveraging its existing position. On the consumer front, Gemini is being integrated directly into products like Google Calendar, while on the enterprise side, the company is maintaining MCP connectors to solidify its ecosystem against challenges. 

In a landscape where distinguishing oneself solely through new models is increasingly challenging, controlling the customer relationship and business model emerges as the true competitive edge. 

The trust and safety vibe check

Character.AI under 18
After multiple teens died by suicide after prolonged conversations with chatbots, Character AI removed the chatbot experience for under 18s in November 2025. Image Credits:Character.AI

In 2025, AI companies faced unprecedented levels of scrutiny. Over 50 copyright lawsuits made their way through the judicial system, while reports of “AI psychosis” — the outcome of chatbots reinforcing false beliefs and allegedly leading to numerous suicides and other life-threatening situations — triggered demands for trust and safety reforms. 

Some copyright disputes concluded — such as Anthropic’s $1.5 billion settlement with authors — but most remain unresolved. The dialogue appears to be evolving from a resistance to using copyrighted material for training to requests for compensation. (Refer to: New York Times is suing Perplexity for copyright infringement.)

Concurrently, concerns regarding mental health in relation to AI chatbot interactions — and their overly flattering responses — emerged as a significant public health concern after multiple suicides and dangerous delusions in both teens and adults following extended chatbot engagements. The repercussions have included lawsuits, widespread alarm among mental health practitioners, and swift policies like California’s SB 243, which governs AI companion bots.

Most revealing are the calls for constraints not coming from typical anti-tech critics. 

Industry leaders have raised alarms regarding chatbots that amplify engagement, and even Sam Altman has cautioned against excessive emotional dependency on ChatGPT. 

Even the labs themselves began to express concern. Anthropic’s safety report from May captured Claude Opus 4 trying to blackmail engineers to avoid its own termination. The implication? Rapid scaling without comprehending what has been developed is no longer a sustainable approach.

Looking forward

If 2025 marked the inception of AI maturing and confronting difficult inquiries, 2026 will be when it must provide answers. The excitement cycle is beginning to diminish, compelling AI companies to validate their business models and demonstrate tangible economic value.

The age of “trust us, the returns will materialize” is approaching its conclusion. What lies ahead will either serve as a vindication or a reckoning that renders the dot-com crash a mere blip in trading for Nvidia. It’s time to make your predictions. 

Plaud Note Pro is an outstanding AI-driven audio recorder that I take with me wherever I go.

Plaud Note Pro is an outstanding AI-driven audio recorder that I take with me wherever I go.

A surge of AI voice recording devices such as Omi, Bee, and Friend has emerged, designed to capture your voice and enable interaction with an AI chatbot. Bee has been purchased by Amazon, and products like the Stream ring by Sandbar and a novel AI ring from previous Pebble founder Eric Migicovsky are anticipated to debut next year, yet the effectiveness of wearable AI gadgets remains uncertain.

In this landscape, Plaud is flourishing by appealing to professional users with a unique strategy: a credit card-sized recording unit that conveniently fits into your wallet. The company claims to have delivered over a million units, with more than half of its clientele transitioning to pro subscriptions.

The latest version, the Plaud Note Pro, was made available for preorder in August, two years after the initial Note, priced at $179. After a month of using the device, it has become a vital element of my daily essentials — its ultra-slim design facilitates this.

At merely 0.12 inches thick — roughly equivalent to three stacked credit cards — it stands as the slimmest AI recording device available and fits neatly in a wallet or can magnetically attach to the rear of your phone.

The company supplies a wallet-like case and a magnetic ring accessory for MagSafe-compatible phones, allowing you to affix the Note Pro to your iPhone or suitable Android device. Additionally, the device is exceedingly lightweight at 30 grams, so you won’t mind carrying the Note Pro in your wallet.

A significant distinction between Plaud and other AI wearables is that the Note Pro can record audio without needing to be linked to your phone. With 64GB of internal memory, the device can retain a substantial quantity of recordings without needing to transfer them to your phone or upload them to the cloud.

Plaud Note Pro has the same thickness as a coaster.Image Credits:Ivan Mehta

The Plaud Note Pro features four MEMS (Micro-Electro-Mechanical Systems) microphones to capture sound from all angles. While the company claims an effective audio range of 16.4 feet, I have successfully recorded discussions at conferences from a considerable distance away from the stage. The device also contains a voice processing unit for noise reduction, voice separation, and echo elimination.

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This recording device boasts outstanding battery longevity. I attended a conference earlier this month with a fully charged unit and recorded several interviews and presentations while there. Subsequently, I utilized the device for phone call recordings and personal note-taking. Even after all that usage, the device retained 55% charge after 15 days. The company states that you can achieve 30 hours of continuous recording and 60 days of standby on a single charge.

Plaud’s latest gadget comes with a proprietary charger featuring a USB-C connector on the opposite end. It requires two hours to charge from 0%, preparing you for at least a couple of weeks unless you engage in extensive content recording.

Image Credits:Plaud

One challenge associated with wearable AI gadgets is the necessity to visually confirm that the device is recording (or has ceased recording). Fortunately, the Plaud Note Pro is equipped with a small display indicating your recording status. You can also use a button during recording to emphasize a speaker’s point, which will be prominently displayed in the AI-generated summary. The screen additionally shows the remaining battery life.

There is a deliberate process involved in recording with this gadget. The device provides haptic feedback for starting and stopping recordings. The visual indicators and the action of pressing the button further assist in communicating to others in the meeting that you are recording the session.

Image Credits:Ivan Mehta

You can simply opt to record sessions and send them to another AI transcription service you utilize. Plaud offers 300 minutes of free transcription each month. The company also allows you to personalize AI-crafted notes with templates tailored for various profiles and tasks. You also have the option to create your own template. The transcription is generally precise, and you can now access the recording, transcription, and notes through a designated website. The company has remedied the issue my previous colleague Brian Heater faced regarding tapping on a word and not hearing the corresponding recording.

While a pendant or pin-type design may be simpler to carry, the card-sized recorder provides superior microphones and more adaptable positioning options. If you frequently attend in-person meetings, investing in the $179 device is definitely worthwhile.