Senator John Fetterman is doing that thing again where he makes both parties uncomfortable. The Pennsylvania Democrat took to X on Saturday to dismiss what he called “AI doomsdaying,” sharing a Bloomberg analysis that examined China’s narrowing gap with the United States in the artificial intelligence race. His message was blunt: American hand-wringing over AI risks is a gift to Beijing.
A Democrat sounding a lot like Trump
Former President Donald Trump has championed data center projects as engines of local job creation and tax revenue, making AI infrastructure expansion a visible plank of his economic messaging. Fetterman is arriving at a nearly identical conclusion from the other side of the aisle, arguing that “AI supremacy and energy dominance underpins our national security.”
That quote, posted in August 2026, came as Fetterman publicly criticized Pennsylvania Governor Josh Shapiro’s executive order limiting data center development.
Fetterman has been consistent on this front since at least March 2026. He’s rejected calls for AI development pauses from prominent progressive voices, including Senator Bernie Sanders, who circulated an open letter urging a temporary halt. Fetterman dismissed that proposal as effectively advancing a “China First” agenda.
Representative Alexandria Ocasio-Cortez has similarly advocated for cautionary measures around AI governance. Fetterman’s response to that wing of his party has been to argue for building what he calls the “chassis of AI,” meaning the physical infrastructure, energy capacity, and permitting frameworks that allow the technology to scale.
The intra-party fault line
Fetterman’s stance exposes a genuine schism within the Democratic Party over how to govern emerging technology. The progressive wing, led by figures like Sanders and Ocasio-Cortez, has pushed for guardrails that address concerns ranging from job displacement to existential risk. Fetterman’s counterargument is that if the US slows down, China doesn’t wait, and unlike domestic tech companies subject to American regulation, Chinese AI firms operate under a government that views technological supremacy as a strategic imperative.
For crypto and blockchain companies watching this debate, the stakes are adjacent but real. AI infrastructure decisions directly affect the availability and cost of computing resources. Data center policy shapes the economics of GPU access, cloud computing, and the kind of high-performance computation that underpins both AI training and blockchain validation.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.

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