Tech
The public opposition to AI infrastructure is heating up
Across the country, discontent has exploded over the ever-growing glut of server farms that have accompanied the AI boom. Anger has grown so loud that it’s begun to shift legislative agendas. Some states and communities are mulling temporary bans on new data center development altogether. Earlier this month, New York joined the club, with a bold new proposal to halt the local cloud build-out in its tracks.
A new bill in New York State would impose a three-year moratorium on the issuance of new permits for data center construction throughout the state, while local regulators are given a chance to study the environmental and economic impacts the industry is having on communities. The bill’s co-authors, state senator Liz Krueger and Assemblymember Anna Kelles, have called the legislation the “strongest” introduced in the country.
While no statewide moratoriums have passed so far, local bans are proliferating fast. Several weeks before Krueger and Kelles introduced their bill, the New Orleans City Council passed a moratorium, pausing all new data center construction in the city for one year. In early January, Madison, Wisconsin, passed a similar law after protests erupted over regional tech projects.
Similar policies have also passed in droves of communities throughout construction hot spots like Georgia and Michigan, as well as in many other regions throughout the country.
Environmental activists have long taken aim at data centers, but the more recent concerns have come from high-level lawmakers, drawing on populist anger at the tech industry broadly. In conservative Florida, for instance, Gov. Ron DeSantis recently announced an AI “bill of rights” that gives local communities the right to limit new data center construction.
In liberal Vermont, U.S. Senator Bernie Sanders has suggested a nationwide moratorium. And in Arizona, where the political milieu is decidedly mixed, Gov. Katie Hobbs recently said she supported pulling the industry’s tax incentives. Politicians have even begun to fight over the topics, with the governor of Mississippi taking shots at Sanders online over his moratorium proposal.
The political resistance is coming just as tech companies commit more and more money to building out infrastructure. The four biggest spenders — Amazon, Google, Meta, and Microsoft — plan to spend a whopping $650 billion in capital expenditures over the next year, the vast majority of it going to data center build-outs. Even more spending is planned in the following years, as the companies race to secure as much compute capacity as possible.
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But the speed and scale of those projects has made them increasingly unpopular, according to recent polling. A recent Echelon Insights poll found 46% of respondents would oppose plans to build a data center in their community, compared with 35% in support. A different poll from Politico found that, while there is considerable concern about the facilities, many voters don’t have much of an opinion either way — making it possible for public sentiment to be swayed in either direction.
The industry is already spending big to attempt to change those numbers — at least in the regions where it matters. In January, the Financial Times reported that some of the industry’s biggest data center operators were planning a “lobbying blitz,” with plans to “boost spending on targeted advertising and engagement” aimed at the communities where they build.
Tech companies are also making real concessions, like the planned Rate Payer Protection Pledge that would make them responsible for supplying power to any new AI data centers. But it’s not clear those measures will be enough to bring the public around.
Dan Diorio, of the Data Center Coalition, argued, in a conversation with TechCrunch, that data centers should appeal to smaller communities because they provide revenue without straining those communities’ limited resources. If the incentives are cut off and companies decide not to build in those places, the revenue also won’t be there. “That’s where statewide policy considerations come in,” he said. “Are you going to limit communities in which these businesses could be a significant benefit for them?”
The logic behind pressing pause
In general, data center moratoriums are meant to give communities breathing room while policymakers study the potential costs and benefits of allowing such facilities to be built in their communities. The rate of construction in some states has accelerated at such a pace that communities are unsure of how the industry will impact them in the long run.
Justin Flagg, director of communications and environmental policy for Sen. Krueger’s office, told TechCrunch that the legislation was driven, in part, by what he called the energy affordability crisis in New York. Said crisis has troubled both rate payers and politicians.
A group of 30 state lawmakers recently called upon the state’s governor, Kathy Hochul, to declare an “energy state of emergency” in New York due to rate increases. While there are a diversity of factors at work in driving up energy prices, there’s a consensus that the growth in data centers is making the problem worse, not better.
“There’s broad discontent being expressed about energy prices,” Flagg said. “We certainly hear that constantly from our constituents, whose electric and gas rates are going up.” He added that local pushback was also being driven by environmental concerns — which he described as the “water impact and the noise and the local infrastructure impact as well.”
In response to those grid concerns, major tech companies — including Microsoft, Google, Meta, and OpenAI — have promised to pay for their additions to the electrical grid in the communities where they operate, often installing behind-the-meter power sources paired with the new data centers.
The Washington Post recently reported that Silicon Valley is increasingly looking to build its own private electrical supply — a kind of “shadow grid” — that can be used to operate the power-consumptive properties that are now fueling the AI industry. The strategy involves standing up massive new private power sources instead of relying on the public grid.
One example of this practice comes from xAI, Elon Musk’s AI startup, which — at the site of its massive data center in Memphis, Tennessee, known as “Colossus” — built a series of methane gas turbines that have been accused of polluting the local community.
The company’s efforts have already run into significant trouble. xAI had reportedly told local officials that, due to a legal loophole, the turbines were exempt from air-quality permits. In January, the Environmental Protection Agency ruled that Musk’s company was not exempt from the permits, making their previous operation illegal. Environmental activists, decrying the facility’s discharge of “smog-forming pollution, soot, and hazardous chemicals,” announced earlier this month that they planned to sue the company over it. Musk’s facility has since permitted its turbines.
As the xAI example illustrates, if the “shadow grid” strategy purports to solve one problem (public grid overload), it threatens to create a host of new ones — with environmental activists and local communities alike expressing concern for how the new facilities could spew pollution into people’s backyards.
At the federal level, the Trump administration — which has made AI one of its top priorities — has also sought to characterize the industry as responsible stewards of the communities in which they build. Indeed, Trump officials have floated a hypothetical policy to force AI companies to internalize the costs of their additions to local electrical grids, although the details on this policy remain vague.
Debate over taxes
For years, communities have incentivized data center development through tax breaks. Last summer, an analysis by CNBC found that 42 states throughout the U.S. either have no sales tax or provide full or partial sales tax exemptions to tech firms. Of that number, some 16 states publicly reported how much they had awarded to companies through tax breaks. The forfeited revenue amounted to some $6 billion over a period of five years, the outlet wrote.
Now, however, more and more states are thinking about turning off the spigot. In Georgia, for instance, a variety of bills were recently introduced that would crack down on the industry’s benefits. State senator Matt Brass, who has introduced a bill that would nix the server sales tax exemption, told TechCrunch that he doesn’t think tech companies need the extra money, nor does he think dispensing with the benefit will dissuade them from doing business in the state. “In Georgia, if you compare us to other states, our property taxes are low, our property values are low, our overall tax burden is low,” Brass said. “So, you know, our overall business climate is good. That should be the attraction.”
Brass, who chairs the state’s rules committee, told TechCrunch that he expects there to be significant support for his policy. A similar piece of legislation passed the Georgia legislature in 2024, but it was vetoed by the governor. Brass added that, were the exemption to be done away with, he believes it could generate hundreds of millions of dollars for the state.
In Ohio, a similar policy battle is currently playing out. A group of Democratic lawmakers recently introduced legislation that would — like in Georgia — move to nix the state’s sales tax exemption. A similar policy was introduced last year, but — like in Georgia — it was defeated by the state’s governor, Mike DeWine.
“The most ridiculous tax break on the books currently is for data centers,” one of the bill’s supporting lawmakers, state Sen. Kent Smith, recently said. “That tax break needs to end, for the benefit of everyone who’s got an electric bill.”
At the same time, there are still plenty of lawmakers who support the server sales tax exemption. In Colorado, state representative Alex Valdez recently introduced a bill that would enshrine data centers’ loophole for the next 20 years. Valdez told TechCrunch that the exemption is merely a carrot to get tech companies in the door. Once they set up a base of operations in the state, they become a source of passive revenue that inevitably boomerangs back to benefit the communities in which they operate, he said.
Tech
Exclusive: Google deepens Thinking Machines Lab ties with new multi-billion-dollar deal
Former OpenAI executive Mira Murati’s startup, Thinking Machines Lab, has signed a new multi-billion-dollar agreement to expand its use of Google Cloud’s AI infrastructure, including systems powered by Nvidia’s latest GPUs, TechCrunch has exclusively learned.
The deal is valued in the single-digit billions, according to a source familiar with the matter, and includes access to Google’s latest AI systems built atop Nvidia’s new GB300 chips, alongside infrastructure services to support model training and deployment.
Google has been actively striking a number of cloud deals with AI developers as it aims to wrap together its AI computing offerings with other cloud services like storage, a Kubernetes engine, and Spanner, its database product. Earlier this month, Anthropic signed an agreement with Google and Broadcom for multiple gigawatts of tensor processing unit (TPUs) capacity (these are Google’s custom-designed AI chips for machine learning workloads).
But the competition is fierce. Just this week, Anthropic also signed a new agreement with Amazon to secure up to 5 gigawatts of capacity for training and deploying Claude.
Earlier this year, Thinking Machines partnered with Nvidia in a deal that included an investment from the chipmaker. But this is the first time the lab has struck a deal with a cloud services provider. The deal is not exclusive, so Thinking Machines may use multiple cloud providers over time, but it’s still a sign that Google is looking to lock in fast-growing frontier labs early.
Murati left her job as OpenAI’s chief technologist and founded Thinking Machines in February 2025. The company, which soon afterwards raised a $2 billion seed round at a $12 billion valuation, has remained highly secretive, but launched its first product in October. Dubbed Tinker, it’s a tool that automates the creation of custom frontier AI models.
Wednesday’s deal provided some insight into what Thinking Machines is developing. In a press release, Google noted that it can support the startup’s reinforcement learning workloads, which Tinker’s architecture relies on. Reinforcement learning is a training approach that has underpinned recent breakthroughs at labs, including DeepMind and OpenAI, and the scale of the Google Cloud deal reflects how computationally expensive that work can get.
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Thinking Machines is among the first Google Cloud customers to access its GB300-powered systems, which offer a 2X improvement in training and serving speed compared to prior-generation GPUs, per Google.
“Google Cloud got us running at record speed with the reliability we demand,” Myle Ott, a founding researcher at Thinking Machines, said in a statement.
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Tech
The most interesting startups showcased at Google Cloud Next 2026
Google Cloud Next is taking place this week in Las Vegas, and one clear message has emerged: Google wants AI startups on its cloud. To that end, it made several startup-related announcements.
The most significant is that the tech giant has earmarked a new $750 million budget to help its Cloud partners sell more AI agents to enterprises. This funding is available to partners ranging from startups to the big consulting firms. It can be used for costs like Gemini proof-of-concept projects, Google forward-deployed engineers, cloud credits, and deployment rebates.
Google also highlighted a long list of startups that are using Google Cloud, either newly signed or expanding their footprint. Among them are a few standout names:
Lovable is expanding its use of Google Cloud by launching a new coding agent through Google’s enterprise app marketplace. Lovable is the fast-growing vibe coding startup and was on a $400 million ARR track as of February, it said.
Notion, Silicon Valley’s favorite AI-infused document productivity app, most recently valued at about $11 billion, is using Gemini models to power its text and image generation features.
Gamma, an AI-powered PowerPoint killer recently valued at a $2.1 billion valuation, is using Google’s state-of-the-art image model Nano Banana 2 and other Google Cloud features.
Inferact, the commercial inference startup from the creators of the popular open-source project vLLM, is accessing Nvidia’s GPUs through Google Cloud, in addition to using the tech giant’s AI stack.
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ComfyUI, the popular open-source tool for creating AI-generated images and multimedia, also offers access to Nano Banana 2 and is using other Cloud features.
Other startups that received the Google Cloud shout-out this year include:
ChorusView, which makes AI-powered smart tags that track the condition and movement of goods in real time.
Emergent AI, a vibe coding platform.
ExaCare AI, which makes AI software for post-acute medical care facilities.
Insilica, which creates AI-generated regulatory-compliant chemical safety reports.
Optii, which makes AI-enhanced hotel operations software.
Parallel AI, which builds web search and research APIs built for AI agents.
Proximal Health, which makes AI-powered software that automates the insurance claims adjudication process.
Reducto, which does AI-powered document parsing.
Stord, which handles e-commerce fulfillment and parcel operations.
Stylitics, which makes AI image generation software for retailers for tasks like outfit styling and product bundles.
Temporal, a developer cloud environment built to prevent failures.
Vapi, which makes dev tools for building conversational voice agents.
Vurvey Labs, which conducts synthetic market research via AI agents.
Wand, an in-game assistant for single-player PC games.
Watershed, which makes software that helps enterprises report on and manage sustainability programs.
ZenBusiness, an all-in-one back-office tool for small businesses that includes an AI chat assistant.
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Tech
Duolingo is now giving free users access to advanced learning content
Duolingo announced on Wednesday that its advanced language learning content is now available for free across nine languages: English, Spanish, French, German, Italian, Portuguese, Japanese, Korean, and Chinese. Users can access this content through the web, iOS, and Android devices.
This advanced content is at the B2 level on the Common European Framework of Reference for Languages (CEFR), which is the international standard for language skills that schools and employers recognize. B2 level content refers to learning materials without translations, complex scenarios, and specialized vocabulary.
The new offering will include features like “Advanced Stories,” which helps with reading comprehension, and DuoRadio, a podcast-like audio experience for listening comprehension.
Now that Duolingo users can tap into this advanced learning content for free, they can level up their skills, whether that’s practicing for job interviews, prepping for studying abroad, or tackling complex news articles, films, and books without relying on translations.
The company says this positions it as the only free app to offer advanced-level learning across these nine languages at no cost. While competitors like Babbel and Busuu offer advanced courses, they typically require paid subscriptions. For instance, Busuu has some CEFR-aligned courses up to the B2 level, but the free version is pretty limited and doesn’t offer lessons like grammar explanations, so users need to pay for full access.
Previously, Duolingo only provided free courses that capped at A2 or B1 levels, mainly focusing on basic communication skills.

The company is positioning this free advanced learning offering as an enticing opportunity for job seekers, framing language learning as a practical pathway to improving employability in an increasingly global workforce.
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This comes at a time when the job market remains highly competitive and overall growth has slowed. Research from the American Council on the Teaching of Foreign Languages shows that learning a second language can raise someone’s employability by as much as 50%.
“Reaching job-ready proficiency in a new language used to be out of reach for most people,” Bozena Pajak, head of learning science at Duolingo, said in a statement. “It took years of expensive classes or immersive experiences that not everyone could access.”
Duolingo’s decision to offer advanced learning for free is also a strategy to increase its free user base. In its Q4 earnings report, the company stated that it has 52.7 million daily active users, demonstrating 30% growth compared to the previous year. This number is higher than its paid subscriber base, which stands at 12.2 million. However, Duolingo’s shares fell after the company projected that the year-over-year bookings growth rate for Q2 2026 is expected to experience a slight decline.
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