November 8, 2025 News
OpenAI Lobbies Trump Administration for Expanded Tax Credits to Fund Massive AI Infrastructure Buildout
OpenAI has sent a letter to the Trump administration requesting expansion of the Chips Act's Advanced Manufacturing Investment Credit to cover AI data centers, servers, and electrical grid components, seeking to reduce capital costs for infrastructure development. The company is also asking for accelerated permitting processes and a strategic reserve of raw materials needed for AI infrastructure. OpenAI projects reaching over $20 billion in annualized revenue by end of 2025 and has made $1.4 trillion in capital commitments over eight years.
Skynet Chance (+0.04%): Government subsidization of AI infrastructure could reduce cost barriers to scaling compute-intensive systems, potentially enabling faster development of powerful AI systems with less economic constraint on safety considerations. The massive capital commitments suggest aggressive scaling plans that could outpace safety research.
Skynet Date (-1 days): Tax credits and regulatory streamlining would significantly accelerate the pace of AI infrastructure buildout, reducing financial and bureaucratic barriers that currently slow deployment timelines. The $1.4 trillion commitment over eight years indicates an aggressive acceleration of compute scaling.
AGI Progress (+0.03%): Massive infrastructure expansion directly addresses compute scaling bottlenecks that are currently limiting AI capability growth, with $1.4 trillion in commitments suggesting unprecedented resource allocation toward AGI development. The scale of investment and government support could enable training runs orders of magnitude larger than currently possible.
AGI Date (-1 days): If successful, tax credits and expedited permitting would substantially accelerate the timeline for building the computational infrastructure necessary for AGI development by reducing both capital costs and regulatory delays. The proposed policy changes specifically target the main bottlenecks slowing AI scaling.