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The Trump administration avoids regulating the AI and tech industries because their massive capital expenditures are the primary driver of U.S. GDP growth. This economic reliance makes the government hesitant to interfere, giving tech leaders unprecedented access and influence despite the potential societal risks.
No longer a niche sector, AI has become synonymous with U.S. economic growth, reportedly contributing up to 75% of the increase in recent GDP. This makes AI policy a macroeconomic issue, as halting its progress would mean halting the primary engine of the American economy, impacting everything from social programs to national defense.
The US President's move to centralize AI regulation over individual states is likely a response to lobbying from major tech companies. They need a stable, nationwide framework to protect their massive capital expenditures on data centers. A patchwork of state laws creates uncertainty and the risk of being forced into costly relocations.
Despite populist rhetoric, the administration needs the economic stimulus and stock market rally driven by AI capital expenditures. In return, tech CEOs gain political favor and a permissive environment, creating a symbiotic relationship where power politics override public concerns about the technology.
Recent U.S. GDP growth is heavily dependent on AI-related capital expenditures. This small sector is contributing disproportionately to economic expansion, masking underlying weakness in non-AI business investment and creating a significant new concentration risk for the broader economy.
Despite Republican voters' distrust of AI, Trump's administration pushes for rapid, unregulated development. The key motivation is that AI investment props up the economy, and a slowdown could trigger a recession—a major political liability for an incumbent.
The US administration is counting on AI-driven economic growth to offset other costly policies. This has created a dependency where the national economy requires the hyper-growth of the AI sector, effectively taking the decision to pause or slow down out of policymakers' hands.
The US economy is now so dependent on the performance of a few AI-centric tech giants that their failure is not an option. When the AI bubble deflates, expect a government bailout, framed as a strategic investment like the CHIPS Act, to prop up the market and prevent a wider economic crisis.
Geopolitical competition with China has forced the U.S. government to treat AI development as a national security priority, similar to the Manhattan Project. This means the massive AI CapEx buildout will be implicitly backstopped to prevent an economic downturn, effectively turning the sector into a regulated utility.
The current market boom, largely driven by AI enthusiasm, provides critical political cover for the Trump administration. An AI market downturn would severely weaken his political standing. This creates an incentive for the administration to take extraordinary measures, like using government funds to backstop private AI companies, to prevent a collapse.
The hundreds of billions in capital expenditures on AI infrastructure by companies like Meta and Google are a major economic driver. If political backlash successfully slows this build-out, the subsequent reduction in spending could destabilize the broader economy, which has become reliant on this massive investment.