Japan’s AI Power Plan Faces a Challenge From DeepSeek’s Efficient Technology

Japan is preparing for a significant rise in electricity demand by 2040, driven by artificial intelligence.

The country expects a 10-20% increase in energy production, primarily to support data centers and chip manufacturers. However, China’s DeepSeek is introducing a disruptive factor that could challenge these forecasts.

DeepSeek’s AI assistant, known for its efficiency and lower operational costs, is now surpassing ChatGPT in downloads on Apple’s App Store. This shift has led analysts to reconsider investments in power producers that were expected to benefit from AI-driven electricity consumption.

A More Energy-Efficient AI Model

DeepSeek’s technology is designed to use fewer resources, which could limit the expected surge in power demand. While this may impact energy companies that anticipated AI-driven growth, experts warn that overall consumption might still rise. The availability of low-cost, energy-efficient AI models could encourage more businesses to adopt AI, ultimately sustaining high electricity usage.

Japan, which generates only 13% of its energy domestically, has updated its forecasts to account for an additional 5.14 million kWh by 2034. As AI reshapes the energy landscape, the country faces renewed debates over its power sources.

The Debate: Nuclear vs. Renewables

With rising AI energy needs, Japan is once again evaluating its energy strategy. Some experts argue for restarting nuclear reactors to meet demand, while others push for greater investment in renewables. These discussions come as Japan continues to navigate the long-term effects of the Fukushima disaster.

DeepSeek’s impact highlights a broader global challenge, how to balance AI growth with sustainable energy solutions.

As Japan reassesses its power strategy, its choices could influence how other nations manage AI-driven energy consumption in the years ahead.

Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.