When newly re-elected President Trump unveiled his AI policy vision during the campaign, the tech world took notice. His sweeping promises to roll back Biden-era AI regulations and Executive Order 14110, while simultaneously establishing new governance mechanisms like the AI Safety Institute, sent mixed signals about exactly how a second Trump administration would approach artificial intelligence oversight. After much anticipation, Trump's post-election AI action plan is starting to take shape—with potentially significant ramifications for both tech companies and government agencies.
Trump's transition team is advancing what appears to be a stark departure from existing AI governance approaches, with spokesperson Karoline Leavitt declaring there will be "no more woke AI models being purchased by Washington." While the statement's combative rhetoric sounds familiar, policy experts are now analyzing what this might actually mean in practice for federal AI procurement and regulation. As tech companies navigate this uncertain landscape, understanding the practical implications of these shifts is becoming increasingly important.
Procurement overhaul: The incoming administration plans to dramatically reshape how government agencies purchase and deploy AI systems, potentially eliminating models deemed politically biased while establishing new certification requirements.
Regulatory rollback: Trump's team has signaled intentions to dismantle significant portions of Biden's Executive Order 14110, which established comprehensive AI risk management frameworks, testing standards, and safety protocols that many tech companies have already invested in implementing.
Alternative governance mechanisms: Despite the deregulatory focus, Trump has proposed creating new oversight bodies like the Department of Government Efficiency (DOGE) and an AI Safety Institute that would establish different evaluation criteria for AI systems.
Potential economic impact: The transition between regulatory frameworks could impose substantial costs on both federal agencies and AI vendors, as existing compliance investments might need to be redirected toward new standards.
The most consequential element of Trump's emerging AI strategy may be how it reshapes the $750 billion federal procurement system. The administration's focus on eliminating "woke AI" from government purchasing decisions represents more than just cultural signaling—it could fundamentally alter how AI systems are evaluated, certified, and deployed across federal agencies. The practical challenge lies in defining what constitutes "woke" in algorithmic systems