The first major wave of AI initial public offerings is arriving with an unusual feature: the companies themselves are telling investors that public hostility toward their industry is a material risk. Anthropic plans to list negative sentiment toward AI and data centers as a risk factor in its IPO prospectus3, even as AI infrastructure builder Nscale seeks up to $3 billion in a concurrent US listing1,2. ANALYSIS Taken together, the two filings suggest an industry racing to lock in public-market capital while simultaneously warning that the social license underpinning its growth is not guaranteed.
Why it matters
Anthropic, valued at close to $1 trillion in the private markets, is not a speculative startup — it topped a $65 billion annual revenue run rate. Investors expect it may float at a valuation of about $2 trillion. ◆ A company of that scale flagging public backlash as a prospectus-level risk is a signal that the threat is no longer hypothetical; it is being priced into the largest AI equity offering yet contemplated.
Nscale, the London-based AI infrastructure startup, intends to list on a U.S. stock exchange and has hired Goldman Sachs Group Inc. to manage the process. Its IPO could take place as soon as September. ◆ The simultaneous appearance of an AI model company and an AI data center builder on the IPO calendar means public markets are about to absorb exposure to both layers of the AI stack at once — and both layers face the same headwind.
The big picture
The backlash Anthropic is disclosing is not abstract. A Gallup survey published in May found seven in 10 Americans opposed AI data center construction in their area. Roughly a quarter of people surveyed were in favor. The opposition is translating into policy: Pennsylvania Democratic Gov. Josh Shapiro signed an executive order placing harsh standards on data center development in his state, and Rep. Byron Donalds has proposed restrictions on data centers in Florida.
Nscale's entire business is building AI data centers, and Anthropic's IPO prospectus is expected to list negative sentiment toward AI and data centers as a risk factor. ANALYSIS Opposition to the physical footprint of AI threatens both the compute layer and the model layer — connecting the two IPOs at a structural level, where regulatory and public resistance to data centers constrains the infrastructure that AI model companies depend on.
Anthropic confidentially filed to go public in June. The company has been holding preliminary "test-the-water" meetings with bankers and investors in San Francisco, where CFO Krishna Rao is being asked about competition and margin pressure from open-source alternatives. ◆ The fact that margin pressure and public sentiment are surfacing in the same investor conversations indicates that underwriters see demand-side and supply-side risks converging.
Anthropic's decision to foreground AI backlash as a risk factor — rather than bury it among boilerplate disclosures — is itself a strategic choice. Prospectus risk factors serve a dual purpose: they protect the company legally, and they frame the narrative for institutional investors. By naming the backlash explicitly, Anthropic is acknowledging a reality that private-market fundraising rounds could afford to ignore. Public-market investors, who face quarterly disclosure cycles and activist pressure, require a different kind of candor.
Nscale is seeking to raise as much as $3 billion in a US IPO at a moment when the political environment for data center construction is tightening in multiple states. ◆ Listing in the US rather than London suggests Nscale is prioritizing access to the deepest pool of AI-enthusiastic capital, even as the regulatory environment in several US states grows more restrictive.
What's next
Anthropic's IPO prospectus is expected to land in the coming weeks. Nscale's listing could follow as soon as September. ◆ The reception of these two offerings will establish the first public-market benchmarks for how investors price AI backlash risk — setting a template that every subsequent AI IPO will be measured against. The question is no longer whether the industry can build fast enough; it is whether the public will let it.