AI Is Powering Trump’s Economy, But American Voters Are Getting Worried

President Trump is aggressively promoting AI as an economic and geopolitical priority—signing an order to limit state curbs on AI and publicly touting U.S. leadership—while analysts and markets attribute more than half of U.S. GDP growth in H1 2025 to the AI boom and expect big-tech capex to exceed $500 billion in 2026; the administration also cleared Nvidia H200 exports to China. That surge is colliding with grassroots backlash over data centers—Data Center Watch identifies about $98 billion of stalled investments in Q2—and local opposition is raising political, permitting and grid-capacity risks as communities complain about rising electricity costs and limited long-term job creation. The result for investors is increased project execution and regulatory risk (lenders have begun hedging) and a policy pivot toward boosting transmission capacity, but Washington and state actors still lack a coherent, bipartisan strategy, creating potential volatility and repricing opportunities ahead of the 2026 election.

Analysis

President Trump is intensifying a pro‑AI agenda—signing an order to limit state curbs on AI and authorizing Nvidia H200 exports to China—while U.S. officials and Wall Street attribute more than half of U.S. GDP growth in H1 2025 to the AI boom and JPMorgan projects big‑tech capex could exceed $500 billion in 2026. The administration is signalling policy support for rapid AI expansion as a growth and geopolitical priority, and the White House is preparing an executive order to boost transmission capacity and grid technology to address energy constraints.

That growth narrative is colliding with meaningful local pushback: Data Center Watch reports roughly $98 billion of data‑center investments stalled in Q2, and high‑profile local fights (e.g., Lordstown/Bristolville) highlight the mismatch between construction jobs (1,600 peak) and long‑run employment (~120 permanent jobs at >$84/hr) alongside worries about higher household electricity and water costs. Lenders and institutional investors are beginning to price in execution, permitting and political risk, and prominent investors have publicly warned of employment and social risks from AI adoption.

For markets, this creates a two‑track outcome: near‑term volatility and repricing risk around project delays, local politics and utility prices, versus longer‑term upside if federal grid and permitting measures accelerate. Investors should therefore evaluate exposure by concentration of data‑center pipelines, monitor policy milestones and factor in potential timing mismatches between capex commitments and local permitting or grid upgrades.

Key Decisions for Investors

• Favor exposure to AI hardware and large cloud/capex beneficiaries such as NVDA and major hyperscalers while using hedges to limit short‑term political and permitting risk
• Underweight or limit conviction in regional data‑center developers and REITs with concentrated pipelines in jurisdictions facing active opposition until permitting and transmission upgrades show progress
• Consider selective long exposure to transmission and grid modernization plays likely to benefit from the forthcoming White House executive order, keeping position sizes modest until funding and timelines are confirmed
• Monitor three leading indicators to adjust positioning: quarterly GDP contribution attributable to AI, quarterly Data Center Watch updates on stalled projects (the $98bn Q2 figure), and state/local permitting or election outcomes ahead of 2026