The development of advanced A.I. systems requires vast amounts of energy, and one estimate suggested that training GPT-4 consumed roughly the same amount of electricity as several thousand U.S. households use in a year.
Across the country, energy investors are waiting to develop 2.6 terawatts of new electrical capacity, mostly in wind, solar and battery farms, highlighting the urgent need for expanded grid capacity.
America's power grid, hindered by decades of underinvestment and regulatory logjams, isn't equipped for the rapid growth in A.I.'s electricity needs, sparking concerns over future competitiveness.
This isn't China holding back U.S. competitiveness; it’s America’s patchwork of conflicting regulations, outdated structures, and misaligned investment incentives that discourage coordinated grid expansion.
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