The Bipartisan Backlash Against the AI Infrastructure Boom
Data centers have become a toxic political issue as voters across the ideological spectrum unite against the environmental and resource costs of the AI expansion.

A quiet revolution is unfolding in the often-stodgy world of corporate disclosures.
It is signaling a profound shift in how America’s largest companies perceive the future.
It is not about market volatility or geopolitical instability, though those loom large.
Instead, it is about artificial intelligence, a technology simultaneously heralded as a savior and increasingly feared as a potential saboteur of reputations and bottom lines.
A burgeoning number of annual filings with the Securities and Exchange Commission are now explicitly listing AI as a material risk.
This is a stark acknowledgment of its rapid integration into business operations and the deep uncertainty surrounding its control.
The numbers are striking, painting a vivid picture of corporate apprehension.
So far this year, an astonishing 418 publicly traded companies, each valued at over $1 billion, have cited AI-related risk factors specifically linked to reputational harm in their SEC reports.
This represents a substantial 46% increase from the previous year and a staggering nine-fold jump compared to 2023.
This is not mere boilerplate; these disclosures are a legal obligation, a corporate confession of “known unknowns” designed, as University of Chicago law professor M. Todd Henderson notes, to “scare investors” into understanding potential threats.
The litany of fears detailed in these filings is expansive and unsettling. Companies warn that AI datasets could inadvertently produce biased or incorrect information, jeopardizing their public image.
The technology also presents new vulnerabilities for security breaches and raises concerns about infringing on intellectual property or individual rights.
Financial services giant Visa, for instance, foresees “increased instances of erroneous or disputed payments, increased chargebacks and reputational harm” as it scales its use of agentic AI.
Consumer products manufacturer Clorox frets over AI tools potentially compromising “confidential or sensitive information.” Cosmetics brand ELF Beauty acknowledges that its “ability to adapt to new regulations, technological shifts, ethical standards, and stakeholder expectations regarding AI may materially impact our operations, financial condition, or reputation.”
What makes this wave of disclosures particularly noteworthy is the breadth and gravity of the warnings compared to past technological shifts.
Henderson posits that the concern surrounding AI is arguably more profound than the initial anxieties around the internet in the late 1990s.
Back then, disclosures were often couched in “cautious optimism,” with the internet’s threat perceived largely by specific sectors like retail and publishing.
Today, AI’s potential for disruption is seen as universal, touching every industry, and the warnings are far starker.
Losing data in a hack is one thing, Henderson observes.
But an AI system that “hallucinates” – generating plausible but false information – could lead to catastrophic errors in critical fields.
These fields range from medical diagnoses to legal advice or engineering conclusions, threatening the very core of a business.
The human element further complicates this technological tightrope walk. A recent global survey by KPMG and the University of Melbourne revealed that a significant 66% of workers have relied on AI output without critically evaluating it.
Furthermore, 72% admitted to putting less effort into their work due to AI assistance.
This widespread, uncritical adoption within the workforce adds another layer of unpredictable risk.
It creates a scenario where internal misuse could inadvertently amplify the technology’s inherent flaws.
Yet, despite this growing chorus of alarms, the corporate world is plunging headfirst into AI.
The paradox is stark: companies are simultaneously warning of AI’s dangers while doubling down on investment. The average total AI spend roughly doubled in 2024 from the previous year, reaching an impressive $10.3 million, according to Bain & Co.
The allure of enhanced productivity and competitive advantage is simply too strong to resist. Strauss Zelnick, CEO of Take-Two Interactive Software, the parent company behind gaming behemoths like “Grand Theft Auto,” perfectly encapsulates this corporate conundrum.
While his firm expanded its AI risk disclosure in its latest SEC filing, Zelnick also champions the technology’s transformative power.
“All of us are using AI today in a way that’s greater than we used it a year ago and greater than the year before that,” he told Business Insider.
For Take-Two, AI is about “reducing the weight of mundane work and allowing people to spend their time and brainpower on more interesting work,” even creating entire levels within mobile games.
This is the ultimate tightrope walk for modern corporations.
On one side lies the growing, multifaceted risk of AI adoption – the potential for bias, security breaches, reputational damage, and even fundamental operational failures.
On the other side, however, is the equally perilous risk of inaction.
As Zelnick himself acknowledges, “A failure to adopt new technology could put you at risk.”
Companies find themselves in an unenviable position, forced to embrace a powerful, unpredictable force while simultaneously alerting investors to its potential to unravel their very foundations.
The warnings in these SEC filings are not just legal requirements; they are a collective gasp from corporate America.
They represent a public acknowledgment of the profound, exhilarating, and terrifying journey into the age of artificial intelligence.
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