U.S. technology companies have collectively invested about $155 billion in artificial-intelligence projects since the start of 2025, according to industry estimates cited on Monday. The outlays span new data-center capacity, semiconductor purchases and other infrastructure needed to train and run increasingly complex AI models. The surge in spending is straining the nation’s power grid. Industry research and media reports indicate utilities are struggling to keep pace with demand as electricity requirements for hyperscale data centers climb. To secure long-term supplies, large technology firms are now exploring on-site nuclear solutions, including small modular reactors, in areas that would be impractical for other industrial uses. Economists note the investment wave is contributing to a form of “job-light” expansion, in which gross domestic product and capital spending rise even as traditional employment measures remain subdued. Analysts add that while AI revenues are accelerating, free cash flow at some firms is narrowing as they shift to more asset-heavy operating models to accommodate AI’s energy and hardware needs.
BIG TECH’S AI BET SPARKS GROWTH BUT DRAINS CASH The AI boom is fueling explosive growth for giants like Microsoft and Meta but it comes at a cost. Despite soaring revenues, free cash flow is shrinking as firms shift toward “asset-heavy” models, investing billions in https://t.co/71myybF2Wn https://t.co/DxTya7bfHr
⚠️ TTN Research Alert: In the age of AI-fueled Capex and govt drawdowns, traditional labor metrics may no longer capture the real heartbeat of the US economy - America may be entering its first job-light expansion—an era where GDP climbs, investment booms, and employment metrics
Reports on the labor market and economic growth show there’s little booming these days outside of AI and equities, @conorsen says https://t.co/rb5y1srd8e