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EnergyReader · 2026-06-28 07:30

China's Cheap AI Power Rests on Record Coal Output

By EnergyReader Newsroom ·
China's Cheap AI Power Rests on Record Coal Output Chinese data centres pay half US electricity rates, backed by record coal output, as global AI demand heads toward 945 TWh by 2030. China's data centres can secure electricity at around three cents per kilowatt-hour, roughly half the rate many American operators pay, the Economist reported on May 17, 2026 (2026-05-17). That cost advantage has become central to China's AI infrastructure competitiveness, yet it rests on a power system whose coal foundation continues to expand despite stated decarbonisation targets.6 The demand being contested is large. The International Energy Agency's 2026 "Key Questions on Energy and AI" update estimated global data centre electricity consumption at 415 terawatt-hours in 2024, projecting it to nearly double to 945 TWh by 2030. An individual server rack within an advanced facility could draw power equivalent to 65 households by 2027, the IEA noted. Grid quality and cost are a first-order competitive variable for AI development at those intensity levels.4 China's grid has been expanding at pace. Overall electricity consumption grew 4.6% in 2024, according to National Bureau of Statistics data released on May 15, 2026 (2026-05-15). Thermal generation reached 6.34 trillion kilowatt-hours, a 1.5% annual increase that defied analyst expectations of a coal-fired plateau, even as the growth rate slowed to its lowest in nine years outside pandemic periods.1 At the fuel level, coal production hit 4.83 billion tons in 2024, a 1.2% annual gain and a record, Bloomberg reported on May 19, 2026 (2026-05-19), citing official statistical data. That record arrived despite years of policy direction toward a production peak, revealing the gap between China's stated clean-energy commitments and what its grid operationally requires.5 Renewables are filling some of that growth margin. Hydropower output rose 10.7% in 2024 to 1.27 trillion kilowatt-hours. Shanxi province, historically one of China's largest coal-producing regions, generated 118 billion kilowatt-hours in renewable electricity in 2025, crossing a threshold for the segment for the first time, Bloomberg reported on May 19, 2026 (2026-05-19). Greenpeace analysts projected renewables could cover all incremental Chinese power demand growth in 2025.1,5 Globally, data centre buildout remains structurally tied to dispatchable fossil fuels. BloombergNEF projects coal and gas will supply 51% of incremental electricity generation for data centres through 2050, given solar and wind cannot sustain the continuous, dense loads that AI compute infrastructure demands around the clock.2 The United States faces a contrasting constraint. Battery storage firms report surging interest from AI data centre operators, but grid connection queues remain extended and the domestic supply chain for storage hardware leans heavily on Chinese components, Reuters reported on May 18, 2026 (2026-05-18). Google committed one billion dollars to 100-hour batteries from Form Energy in a recent data centre project, a signal that long-duration storage is attracting serious capital even at cost premiums.3,2 For commodity markets, the read-through centres on sustained Chinese fuel demand. JKM Asian LNG front-month settled at $15.52 per million British thermal units as of June 28, 2026 (2026-06-28). Chinese data centres anchored to coal and gas keep domestic fuel consumption elevated, limiting the room for structural reduction in Asian LNG imports even as renewable generation expands around the edges.1 The forward question is whether the power cost gap — three cents versus six cents per kilowatt-hour — is enough to retain AI buildout concentration in China as chip access constraints, regulatory pressures, and supply-chain factors create pressure to develop capacity elsewhere. The IEA's 2027 rack intensity estimate sets the stakes plainly: where that demand lands determines a meaningful share of the next decade's coal, gas, and LNG demand trajectory.4,6
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