Trump administration's top 'scientific priority is AI,' energy secretary says

U.S. Energy Secretary Chris Wright has declared AI the Trump administration’s top scientific priority and officials are pressing to roll back permitting and construction regulations for data centers and power plants to accelerate an AI-driven buildout, a policy stance Time profiled alongside its designation of "The Architects of AI" as Person of the Year. Multiple studies and the IEA warn that AI training and data-center growth—with computational costs doubling roughly every nine months—rely heavily on fossil fuels and could add millions of tonnes of CO2, with data centers’ power needs forecast to match a country like Sweden or Germany within two years. Wright downplays near-term environmental impacts and argues AI will hasten technologies such as nuclear fusion that could solve the looming power crunch; the administration’s deregulatory tilt therefore raises near-term emissions and grid-risk concerns while creating investment opportunities in energy supply and advanced power technologies.

Analysis

U.S. Energy Secretary Chris Wright has declared artificial intelligence the administration's top scientific priority and is actively pressing allies to loosen permitting and construction regulations for data centers and power plants to accelerate an AI-driven buildout. Time's coverage and the attendance of major tech figures at the inauguration signal strong political and private-sector alignment behind faster deployment of AI infrastructure.

Multiple studies cited by Time and the article highlight that AI data centers currently rely heavily on fossil fuels and could add millions of metric tons of CO2; researchers report the computational cost to train models is doubling roughly every nine months. The IEA projection that data centers could consume as much energy as Sweden or Germany within two years implies a rapid, material uptick in electricity demand concentrated in data-center hubs.

Wright downplays near-term environmental impacts and links AI advances to a potential near-term breakthrough in nuclear fusion, suggesting a policy narrative that prioritizes speed of deployment over immediate emissions constraints. The administration's deregulatory stance increases near-term grid and emissions risk but creates clear investment opportunities in generation capacity, data-center construction, grid modernization, energy storage and advanced power technologies, while also exposing investors to potential local permitting issues, ESG backlash and changing regulatory dynamics.

Key Decisions for Investors

• Increase tactical exposure to data-center construction, short-term generation capacity and companies supplying power to hyperscale facilities to capture near-term demand from AI buildouts, but size positions for regulatory and ESG risk
• Prioritize investments in grid modernization, energy storage and efficiency technologies because rising data-center demand and IEA forecasts create secular need for capacity and flexibility
• Consider selective, limited exposure to advanced power R&D and nuclear developers as a long‑duration hedge against the administration's fusion rhetoric while acknowledging high technical and timing uncertainty
• Implement active risk management: monitor carbon intensity metrics, local permitting trends and DOE/EPA rule changes, and use hedges or engagement strategies to mitigate potential regulatory or reputational shocks
• Track leading indicators—IEA energy forecasts, data-center project pipelines, and model training cost trends—and be prepared to rebalance quickly if empirical demand or policy signals diverge from current projections