Summary of The A.I. Revolt Is Here

Overview of The A.I. Revolt Is Here

This New York Times Opinion conversation between host and reporter Jasmine Sun examines the growing backlash against AI data centers and what it reveals about the public’s broader distrust of AI, Big Tech, and elite decision-making. Sun argues that opposition is not just classic NIMBYism or a narrow fight over water and electricity; it is also a political reaction to AI as a symbol of concentrated corporate power, secrecy, and a future many people did not consent to build.

Key Takeaways

• Data center backlash is broad and bipartisan.

  • Opposition has surged in polling and now cuts across party lines.
  • Local and state leaders from both sides of the aisle are responding with moratoriums and regulatory pushback.

• The backlash has three overlapping layers:

  1. Process concerns — secrecy, NDAs, lack of public transparency.
  2. Material concerns — electricity use, grid strain, water, noise, land use.
  3. Political/philosophical concerns — resistance to AI itself and the power of the companies building it.

• AI data centers are becoming a proxy fight over Big Tech’s power.

  • Many people see them as imposed by wealthy outsiders with little accountability to local communities.
  • The issue resonates even with people far from proposed construction sites.

• The AI industry is losing the narrative battle.

  • Companies often frame the issue as a “marketing problem,” but Sun suggests it is more fundamentally a product and governance problem.
  • Public trust is low enough that even large financial incentives can look like bribes.

What the Data Center Fight Looks and Feels Like

Aesthetic and sensory backlash

Sun describes data centers as:

• huge, windowless industrial buildings
• noisy, humming, buzzing, and mechanically unsettling
• disruptive to otherwise beautiful rural landscapes

That physical contrast matters. In places like rural Wisconsin and Michigan, residents feel they are watching “Eden” turn into an industrial park.

Who is organizing?

The coalitions are unusually mixed:

• stay-at-home moms
• retired executives
• farmers
• environmental activists
• local conservatives and liberals

That mix helps explain why this isn’t reducible to standard partisan politics.

Why NDAs and Secrecy Became a Flashpoint

A major source of anger is that developers often require non-disclosure agreements during project negotiations.

Why this inflames people

• Local officials may know a major project is coming, but cannot tell the public what it is.
• They often cannot disclose:
  • the customer
  • the expected electricity use
  • the size of the project
• Rumors spread anyway, which makes officials look deceptive and powerless.

Why companies do it

Sun suggests the companies likely did not anticipate the backlash and thought NDAs would simply reduce friction or allow flexibility. Instead, the secrecy helped turn a planning issue into a legitimacy crisis.

Water, Electricity, and Real-World Costs

Water

• Water concerns are not entirely fake, but Sun argues they are often overstated in public debate.
• Many modern data centers use closed-loop cooling systems, so water use is smaller than people imagine.
• Still, water has become a potent symbol of resource extraction and local sacrifice.

Electricity

• The electricity issue is more serious.
• AI data centers require enormous power for chips, cooling, and low-latency connections.
• That may mean:
  • new power plants
  • more natural gas in the near term
  • higher pressure on local grids and ratepayers

Why People Don’t Trust the Pro-Data Center Arguments

Developers typically promise:

• tax revenue
• infrastructure investment
• job creation
• local economic revitalization

But many residents respond simply: “I don’t believe them.”

Reasons for skepticism

• past utility rate hikes
• broken promises from prior development booms
• distrust of corporations generally
• the Foxconn experience in Wisconsin, which looms large as a cautionary tale

Sun emphasizes that the backlash is happening in an environment of extremely low trust in both government and corporations.

The Foxconn Lesson and Fear of a Bubble

A major theme is fear that data centers are the next overpromised tech bubble.

Why that matters

• Communities worry they will approve massive investment now and be left with:
  • unfinished projects
  • stranded assets
  • debt
  • maintenance burdens
  • little lasting benefit

Historical memory

Examples like:

• Foxconn in Mount Pleasant, Wisconsin
• the old GM site in Janesville
• contaminated brownfield land left behind by industry

These experiences make people wary of “big numbers” from outside companies.

AI Populism: AI as an Elite Political Project

Sun’s concept of AI populism frames AI not just as technology, but as an elite project being forced on ordinary people.

Core idea

People are not necessarily saying:

• AI has zero value

They are saying:

• Why is this being shoved into our workplaces and communities?
• Why should we bear the costs for a future designed by a small group of tech billionaires?
• Why should we accept disruption before seeing any benefits?

Important distinction

This is not the same as technical AI safety arguments.

• Safety advocates worry about rogue AI, misalignment, extinction risk.
• Populist critics worry about power, inequality, job displacement, and democratic legitimacy.

The “Permanent Underclass” Debate

The conversation also explores a fear common in Silicon Valley: that AI creates a permanent underclass.

What that means

• Machines could do most work.
• Labor loses bargaining power.
• Wealth concentrates further in the hands of capital owners.
• Workers are left with lower wages, weaker leverage, or welfare dependency.

Sun’s view

• She does not think this outcome is inevitable.
• But she does think the speed of change is dangerous.
• Even if AI does not eliminate all jobs, it may outpace society’s ability to retrain and adapt.

The Race Narrative and the China Argument

A major thread is the belief inside AI circles that the U.S. is in a race with China.

Sun’s critique

• The “race” has no clear finish line.
• AGI means different things to different people.
• Benchmarks are jagged, and AI progress is uneven.
• This makes the race metaphor politically powerful but conceptually slippery.

Why the race argument is persuasive inside the industry

• If one side slows down, it fears the other will win.
• This creates pressure to keep building, regardless of public concern.

Why Sun is skeptical

• The race framing can function like blackmail:
  • “We have to keep going, no matter the social cost.”
• She argues this logic weakens the case for democratic pause or regulation.

Strange Bedfellows: Safety, Populists, and Moratorium Coalitions

One of the more interesting political developments is that:

• AI safety advocates
• anti-corporate populists on the left
• social conservatives on the right

are sometimes ending up on the same side of slowing AI down.

Examples mentioned

• Bernie Sanders with AI doom figures
• Ron DeSantis engaging in AI roundtables
• local activists who found common cause with Trump voters

These alliances are unusual but increasingly relevant.

What Moratoriums Can and Can’t Do

Sun sees value in local resistance, but also notes limits.

Limits

• A state-level ban does not stop AI development globally.
• Companies can move to:
  • Texas
  • Louisiana
  • other U.S. states
  • authoritarian or less regulated countries
  • even space, in Elon Musk’s long-term vision

Potential value

• Moratoriums can force transparency.
• They can improve bargaining power.
• They may push governments to create fairer, more standardized rules.

China, Regulation, and the Global AI Landscape

The discussion briefly turns to China.

Sun’s observations

• Public fear of AI is less visible in China, though censorship makes this hard to measure.
• Many Chinese people view AI as inevitable rather than optional.
• The Chinese state has already imposed some regulation:
  • labeling AI-generated images
  • restrictions on certain chatbots
  • labor-related legal protections in some cases

On claims that backlash is a “Chinese psyop”

Sun dismisses that idea as exaggerated and politically convenient. She argues the backlash looks organic and rooted in real local concerns.

Core Conclusion

Sun’s central argument is that the AI industry has a legitimacy problem, not just a communications problem. If companies themselves admit:

• the technology may destroy jobs,
• may concentrate power,
• may accelerate inequality,
• and may require huge infrastructure buildouts,

then the public is not irrational for resisting it.

The deeper issue is that the public does not believe the people building AI have earned the right to impose the consequences on everyone else.

Recommended Books Mentioned

• The Maniac — Benjamin Labatut

  • On intelligence, John von Neumann, and the dark side of technological brilliance

• The Technology Trap — Carl Benedikt Frey

  • On how people’s reactions to automation depend on whether gains are widely shared

• The Art of Gathering — Priya Parker

  • On the importance of relational and social design, especially in a more politicized world