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AI & Digital Livelihood

Anthropic’s IPO faces public backlash, US voters reject data centre expansion

November 8, 2026

The AI company’s planned Nasdaq debut comes amid growing opposition to data centres, investor uncertainty and concerns over the environmental and economic costs of artificial intelligence.

Anthropic is preparing for a potentially historic stock market debut at a time when public confidence in artificial intelligence is under pressure in the United States. The company’s anticipated initial public offering (IPO), expected around mid-November, could bring unprecedented attention to a business whose rapid expansion depends on energy-intensive data centres and large-scale computing infrastructure.

The timing presents a challenge for the developer of the Claude AI models. During the November midterm elections, voters opposed data centre-related ballot measures in 40 of 41 cases, according to CNBC. More than half of voters also said AI data centres were either a “crucial” or “major factor” in their choices for Congress, based on an NBC News exit poll. The results indicate that opposition to data centre development has become an electoral issue, extending the debate over AI beyond technology companies and financial markets.

Anthropic is reportedly targeting a valuation of between $1 trillion and $1.5 trillion for its public offering, according to investor expectations cited by CNBC. That would be below the $2 trillion valuation target discussed in recent months.

The potential listing would make Anthropic one of the most closely watched technology companies in public markets. Its debut could also create substantial wealth for early investors and employees, while exposing the company to greater scrutiny from shareholders, regulators and the wider public.

The broader technology market has also become less favourable. CNBC reported that the Nasdaq recorded its steepest decline in 19 months on Thursday, 5 November, while companies closely associated with AI infrastructure, including chipmakers and specialised cloud providers, faced significant pressure.

For Anthropic, the IPO therefore involves more than securing a high valuation. Investors will assess whether its revenue growth, infrastructure commitments and long-term demand for AI services can justify the scale of its ambitions.

Public resistance to AI infrastructure has intensified as communities raise concerns about electricity consumption, environmental effects, utility costs and employment. For residents living near proposed facilities, data centres represent the physical infrastructure behind a technology whose economic benefits may appear concentrated among a relatively small number of companies.

The election results provide a measure of the political sensitivity surrounding these projects. CNBC reported that local communities rejected data centre-related ballot measures in 40 out of 41 cases. An NBC News exit poll also found that more than half of voters considered AI data centres an important factor in their congressional choices.

Maura Austin, a behavioural scientist at the University of Virginia, told CNBC that the public may view a nearby data centre primarily as infrastructure supporting the profits of large technology companies. She suggested that Anthropic’s high proposed valuation could reinforce perceptions of the company as part of a powerful technology industry increasingly disconnected from public concerns.

The opposition is not necessarily a rejection of every application of artificial intelligence. Rather, it reflects questions about who bears the costs of the infrastructure, who receives its economic benefits and whether local communities have sufficient influence over development decisions.

Anthropic’s own financial disclosures illustrate the scale of the infrastructure challenge. In an amended IPO prospectus filed during the week before CNBC’s report, the company disclosed purchase commitments and lease agreements with an aggregate committed expenditure of approximately $895.4 billion. The prospectus said substantially all of that amount was related to computing capacity and infrastructure.

Such commitments reflect the capital-intensive nature of developing and operating advanced AI models. Training and serving these systems require specialised chips, data centres, electricity, cooling systems and extensive computing networks.

Anthropic and its rival OpenAI are both seeking to expand infrastructure capacity to meet growing demand. Technology companies have also increased their capital expenditure forecasts, with major hyperscalers planning investments worth hundreds of billions of dollars.

However, the scale of investment creates exposure to several risks. Delays in infrastructure development, rising energy costs, opposition from local authorities and uncertainty about future AI demand could affect the economics of expansion. These pressures may become more visible once Anthropic begins reporting its financial performance as a listed company.

The company itself has acknowledged the regulatory and reputational risks. Its IPO prospectus warned that opposition to data centre development has become more organised across jurisdictions and that its growing public profile could attract additional scrutiny towards projects associated with it.

Anthropic has sought to distinguish itself through its emphasis on AI safety and responsible development. Chief Executive Dario Amodei co-founded the company with researchers who left OpenAI, and the business has largely focused on selling AI products and services to enterprise customers.

That business-to-business strategy has helped Anthropic remain less visible to the general public than OpenAI and its ChatGPT platform. A public listing, however, is likely to change that position by bringing its financial decisions, infrastructure plans and corporate strategy into greater public view.

The company has also faced wider concerns about AI safety and security. CNBC reported that a series of incidents during the summer contributed to growing public unease, while the rapid expansion of data centre infrastructure intensified debate over the technology’s wider consequences.

Amodei acknowledged the deterioration in public sentiment in an August post on X, describing it as a “crisis of trust”. The challenge for Anthropic will be to demonstrate that its commitments to safety translate into practices that address public concerns about the economic and social effects of AI.

A survey published by the University of Southern California’s Annenberg School on 2 November found that 71% of respondents did not trust major technology companies to act in society’s best interests in relation to data centre development. Wändi Bruine de Bruin, a professor at the university’s Schaeffer Institute, told CNBC that rebuilding confidence after trust has been lost can be difficult.

The findings suggest that public acceptance cannot be secured through technical assurances alone. Questions about transparency, electricity demand, local economic benefits and accountability are likely to remain central to the debate.

Becoming a listed company could also offer Anthropic advantages. Public disclosure requirements may improve transparency, while access to public capital could support further investment and expansion. A successful IPO could increase the company’s visibility among potential customers and investors.

Reena Aggarwal, a finance professor at Georgetown University, told CNBC that public-company status would place Anthropic under greater scrutiny, particularly because artificial intelligence has become a politically sensitive issue.

Matt Kennedy, a senior IPO market strategist at Renaissance Capital, offered a different perspective, arguing that a public company should not automatically face harsher criticism than a comparable private business. Greater transparency, he suggested, could also benefit the company.

The competing views highlight the uncertainty surrounding Anthropic’s transition into public markets. The listing could strengthen its financial position and corporate profile, but it may also expose the company to more direct public scrutiny over decisions that were previously less visible.

Anthropic’s IPO is emerging as a test of whether the commercial growth of artificial intelligence can continue alongside rising public resistance to the infrastructure supporting it.

The company’s challenge is not limited to convincing investors that demand for its models will generate sufficient returns. It must also address concerns about the distribution of economic benefits, the environmental costs of computing infrastructure and the influence of technology companies over local development decisions.

The US midterm results do not establish that voters oppose artificial intelligence in every form. They do, however, show that data centre development has become a significant point of public and political contention.

As Anthropic approaches its expected market debut, the relationship between technological ambition and public acceptance will be an important factor in how its business is judged. The company may enter the stock market with substantial investor expectations, but its long-term position will also depend on whether it can maintain trust among the communities and consumers affected by the expansion of AI.

Sources

  • CNBC — Anthropic IPO meets AI backlash after midterms show stinging rebuke of data centers, 7 November 2026
  • CNBC — Investors brace for Anthropic valuation of $1.5 trillion, a stretch, 6 November 2026
  • CNBC — Data centre ballot measures in the 2026 midterm elections
  • CNBC — Anthropic’s S-1 filing and financial disclosures
  • NBC News — 2026 election exit polls
  • University of Southern California — Survey on public trust, AI and data centres

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Author

Md Tarek Hossain

I’m a Bangladesh-based business journalist and editorial specialist with experience in print, digital, and broadcast journalism. My academic background is in Economics, and my professional interests include economic data journalism, data analysis, media monitoring, fact-checking and regional narratives, particularly across South and Southeast Asia and the Middle East.

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