Trump’s AI Plan: Deregulation and Tech Priorities

Trump’s new AI plan, shaped by Silicon Valley elites, pushes for deregulation and “America First” tech while targeting perceived ideological bias in AI. Critics warn it could raise consumer costs and harm the environment.

In a move that promises to reshape America’s technological landscape, President Donald Trump has unfurled a sweeping new blueprint for artificial intelligence, a plan deeply steeped in the philosophies and anxieties of a specific cohort of Silicon Valley’s elite.

Dubbed the “AI Action Plan,” this ambitious strategy aims for nothing less than “global dominance” in AI, yet its most striking features are its proposed regulatory rollbacks and its overt embrace of the tech industry’s cultural grievances.

The unveiling, co-hosted by the bipartisan Hill and Valley Forum and the influential “All-In” podcast – a nexus for four prominent tech investors and entrepreneurs, including Trump’s newly appointed AI czar, David Sacks – felt less like a traditional policy announcement and more like a public declaration of a new tech-political alliance.

It’s a stark departure from previous approaches, signalling an era where policy is forged not just in bureaucratic chambers but also in the freewheeling, often ideologically charged, discussions of venture capitalist podcasts.

At the heart of Trump’s plan lies a radical push to dismantle what it calls “red tape” hindering AI innovation.

This includes a direct assault on environmental regulations, with proposals to drastically cut back clean air and water laws to expedite the construction of energy-hungry AI supercomputers and data centers.

The plan explicitly condemns “radical climate dogma,” aligning AI’s immense power demands with Trump’s long-standing advocacy for increased domestic fossil fuel production – a move that directly contradicts global calls for sustainable energy transitions, including a recent plea from United Nations Secretary-General Antonio Guterres for data centers to be powered entirely by renewables by 2030.

Guterres starkly warned that a typical AI data center consumes as much electricity as 100,000 homes, projecting that by 2030, data centers could collectively consume as much electricity as all of Japan.

Beyond environmental deregulation, the plan seeks to aggressively promote the sale of U.S.-made AI technologies both domestically and internationally.

This “America First” approach to AI hardware and software aims to solidify the nation’s lead in a rapidly evolving global race.

However, the plan’s most ideologically charged provisions concern the very nature of AI itself.

In a direct nod to the “culture war” preoccupations of his tech backers, Trump’s strategy aims to counter what they perceive as liberal bias in AI chatbots like ChatGPT or Google’s Gemini.

The plan mandates that the government will only contract with tech companies if they can “ensure that their systems are objective and free from top-down ideological bias.”

Furthermore, it calls for stripping a Biden-era framework for evaluating risky AI applications of any references to “misinformation, Diversity, Equity, and Inclusion, and climate change.”

This is a direct response to incidents like Google’s February 2024 AI image generator glitch, which, when asked for an American Founding Father, produced diverse racial representations – a moment that David Sacks, Elon Musk, Marc Andreessen, and JD Vance quickly seized upon as a parable for “woke AI.”

The plan vaguely asserts that leading AI models should protect free speech and be “founded on American values,” yet conspicuously refrains from defining what those values entail, leaving ample room for interpretation and potential future contention.

The influence of figures like David Sacks, a former PayPal executive who has vociferously criticized “woke AI” for over a year, is undeniable.

His “techno-realism” philosophy, articulated on the All-In podcast, posits that “Technology is going to happen.

Trying to stop it is like ordering the tides to stop.

If we don’t do it, somebody else will.”

This perspective forms the philosophical bedrock of the plan’s accelerationist tendencies, despite internal debates even among Trump’s tech allies, with some, like Marc Andreessen, advocating for even more minimal regulation.

Another critical component of the plan involves disincentivizing states from implementing their own aggressive AI regulations.

Federal agencies are advised to “consider a state’s AI regulatory climate when making funding decisions and limit funding if the state’s AI regulatory regimes may hinder the effectiveness of that funding or award.”

This creates a potential federal-state dynamic where states might feel compelled to loosen their regulatory grip to secure vital federal funding, effectively centralizing AI policy control under the federal umbrella.

While the tech giants, including OpenAI, Amazon, Microsoft, Meta, and xAI, are already well into building massive data center complexes across the U.S. and globally – such as OpenAI’s Oracle-backed Stargate project in Abilene, Texas – the implications of this industry-driven policy are drawing sharp criticism.

Over 100 diverse groups, including labor unions, parent organizations, environmental justice advocates, and privacy watchdogs, have coalesced to oppose Trump’s plan, instead calling for a “People’s AI Action Plan” that prioritizes the public good.

J.B. Branch, a Big Tech accountability advocate at Public Citizen, a watchdog group that signed the resolution, minced no words, labelling the plan a “sellout.”

He warned that “Under this plan, tech giants get sweetheart deals while everyday Americans will see their electricity bills rise to subsidize discounted power for massive AI data centers.”

Branch’s statement encapsulates the core concern of critics: that this plan is less about national dominance and more about a generous handout to billionaires, potentially sacrificing environmental safeguards and consumer interests at the altar of unchecked technological acceleration.

The stage is now set for a profound debate on who truly benefits from America’s AI future – and at what cost.