Is China’s Secret Power Advantage About To Trigger An 89% Crash In U.S. AI Stock

An article published on OilPrice.com highlights a growing structural advantage for Chinese AI firms rooted in differences in national electricity infrastructure. Analysts quoted in the piece say Chinese AI providers can deliver near‑parity performance with U.S. rivals while incurring a fraction of the electricity cost, a gap that both persists now and may narrow further as Chinese performance improves. That cost differential is significant because electricity can account for as much as half of an American AI firm's operating expenses for data centres. Experts in the article attribute China’s cost edge to the design and operation of its national grid. The Chinese system, managed under a unified strategy by State Grid Corporation, relies on ultra‑high‑voltage (800–1,100 kV) direct‑current lines able to transmit as much as 12 gigawatts along a single corridor over distances of around 3,000 kilometres with minimal loss. By contrast, the U.S. network is fragmented into three separate interconnections and largely depends on 345–500 kV high‑voltage alternating‑current trunk lines, which the article says impose higher transmission losses and practical limits on how much power can be moved across the country. The piece also examines why U.S. energy supply options are unlikely to close the gap quickly. Solar and wind are described as intermittent and therefore ill-suited to the always‑on demands of large data centres. Nuclear projects, including small modular reactors (SMRs), face long development timelines and regulatory hurdles; historical U.S. nuclear projects have suffered long delays and cost overruns, and the article reports SMRs are not expected to reach scale until the late 2030s. On the fossil‑fuel side, natural gas is identified as the likely primary baseload source for new AI power demand, but equipment bottlenecks—particularly in gas‑turbine manufacturing dominated by a small group of suppliers—mean long order backlogs, multi‑year wait times and rising prices. Taken together, these structural factors are presented as a potentially material competitive threat to U.S. AI companies. The article’s analysts warn that as Chinese AI performance continues to improve while electricity and scaling costs remain lower, American firms could face compressing margins and increased competitive pressure that may be reflected in their market valuations. The analysis centers on infrastructure and supply‑chain constraints rather than algorithmic capability alone, framing the issue as one of physical energy capacity and delivery rather than short‑term product differences.