Beijing — Something unusual is happening deep inside China’s power industry. Engineers, local officials, and energy giants are scrambling—not to build more coal plants or wind turbines, but to hunt for the perfect artificial intelligence model that can run the country’s massive energy system smarter, faster, and cleaner than ever before.
And Beijing wants these models not as experiments, not as fancy research projects, but as scalable, industrial-grade AI engines—capable of managing everything from solar farms to nuclear safety checks. It’s part of a sweeping campaign the government is calling “AI+ Energy”, a core pillar of its broader “AI+” industrial strategy that runs through 2030.
The message from top regulators is clear: If the energy sector wants to keep up with China’s explosive growth in computing, data centres, and renewable power, AI must move from the lab to the control room—now.
A Notice That Shook the Energy Industry
On 25 November, China’s National Energy Administration (NEA) quietly issued a notice that sent a shockwave across the industry. The regulator announced it was looking for “AI+ energy” pilot projects—not vague proposals, but real-world applications that provincial governments and state-owned giants can deploy quickly and at scale.
Whoever gets chosen may receive state funding and could help set national standards for how AI will operate inside China’s future energy system.
Officials say they want high-value, practical scenarios—not gimmicks. The government emphasised that any model that simply repeats existing AI work or wastes investment won’t be approved. Behind the polite wording, insiders say the meaning is blunt: China wants to avoid the messy over-competition seen in solar panels, EV batteries, and wind turbines, where hundreds of companies fought for market share before massive layoffs hit.
This time, Beijing wants coordination—not chaos.
A Strategy Years in the Making
This sudden push did not come from nowhere. It builds on a bold NEA plan released in September, in which China set explicit goals:
- Deploy at least five large, specialised AI models across the energy system by 2027
- Build at least ten demonstration projects that can be replicated nationwide
- Create a roadmap for AI in electricity, coal, oil and gas, and renewables
The NEA identified eight priority areas, almost all revolving around optimising the electricity system—China’s beating industrial heart.
These areas include:
- AI-powered planning and dispatch of power grids
- Automated repair support for critical equipment
- Heavy use of forecasting for wind and solar
- Intelligent control in coal mines
- Management tools for hydropower and thermal plants
- Safety monitoring for nuclear facilities
- Coordination for virtual power plants (VPPs)
This is not just technology experimentation. It’s engineering the backbone of the world’s second-largest economy.
Since Then: China Accelerates the AI-Energy Revolution
Since that original strategy appeared, Chinese policymakers have moved with unusual speed.
By early 2025, ministries expanded the plan into dozens of concrete targets, including:
- A national roadmap to build a “clean, efficient, flexible and intelligent power system” between 2024 and 2027
- A requirement for major state-owned utilities to publish their own AI deployment strategies
- New rules to integrate AI into power markets, trading mechanisms, and carbon reduction planning
Officials now talk openly about AI as a public service alongside electricity itself.
One senior planner put it this way during a conference in Guangdong:
“Electricity and computing must be clean, affordable and reliable. AI is the tool that will get us there.”
Behind the scenes, people close to the process say the government feels a new urgency because of two pressures hitting China at the same time:
- Renewables are flooding the grid faster than engineers can manage them
- Data centres for AI models are consuming more electricity every month
AI, in a sense, is being brought in to clean up the mess created by… AI.
The First Wave of Real Projects Is Already Here
While many countries are still debating what AI might do for the grid someday, China has already moved to the “build it now” phase.
State Grid’s Trillion-Parameter Power Model
State Grid Corporation of China—the world’s largest utility—recently unveiled a trillion-parameter AI model, designed specifically for the power sector.
This model is not a chatbot. It is engineered to:
- Predict equipment failures
- Optimise dispatch far faster than human operators
- Forecast renewable output
- Guide planning for new transmission lines
- Evaluate market risks before scheduling power trades
Insiders say it can process entire national-level grid datasets in seconds, something that used to take hours or days.
AI Boosts Renewables Forecasting
In mid-2025, China’s top renewable developers launched new AI systems that significantly improve predictions of solar irradiation and wind speeds. These updated models, according to industry reports, have lowered forecasting errors to some of the best ever recorded in Asia.
Better forecasting means fewer curtailments, smoother grid operations, and more renewable energy actually delivered to consumers.
AI for Data Centres: A New Battlefield
Perhaps the biggest surprise is how fast AI is being deployed to coordinate power-hungry data centres with grid conditions.
New models automatically shift cloud computing tasks—training, inference, storage—across time zones and provinces based on:
- Power prices
- Carbon intensity
- Grid congestion
- Renewable availability
If solar is more plentiful in Qinghai at 3 pm, the model pushes compute there. If hydropower peaks in Sichuan at night, tasks shift again.
This is China’s attempt to ensure AI growth does not devour its entire electricity system.
China’s AI-Energy Push Is Also a Global Geopolitical Move
Beijing is not only building an AI-powered energy system for domestic reasons. It is also shaping a global message: China can build cleaner, smarter, more efficient infrastructure at scale through AI—and the world should follow its lead.
Officials are preparing to present their AI-energy work at major climate and technology forums throughout 2025–2030, promoting it as:
- A tool for reaching climate goals
- A competitive advantage in global supply chains
- A soft-power demonstration in the race for AI governance
Meanwhile, Chinese AI companies are using the moment to push their own narrative.
DeepSeek, for example, has begun arguing that advanced AI does not need to consume as much electricity as Western projections claim—if models are trained efficiently and data centres are better integrated with clean power through smart algorithms.
This is part technology, part politics. Whoever controls the global story of “AI-powered clean energy” gains moral and market influence.
A Massive Ecosystem Behind the Scenes
All of this is supported by China’s booming AI landscape:
- 4,700+ AI companies
- Nearly 200 commercial generative AI models
- 600 million registered users
Yet the surprising detail is who pays for this rapid expansion.
According to iResearch:
- 34.3% of China’s AI funding comes directly from government uses
- 11.1% comes from the energy sector itself
This means China’s AI boom is not driven purely by private tech firms the way Silicon Valley grew. Instead, state-owned enterprises—utilities, grid companies, and industrial giants—are acting as the main investors.
In other words, the same companies that run China’s coal plants, hydropower dams, and nuclear reactors are now also bankrolling the AI models that may one day run these facilities.
Why This Matters for the World
China’s gamble on AI-driven energy is not just another industrial plan. It could redefine how modern countries build and operate power systems.
If China succeeds in using AI to stabilise renewables, optimise grids, and control energy-hungry data centres, it will set a global benchmark—one that developing nations may eventually copy.
If the experiment struggles, the world will learn a hard lesson about the limits of AI in critical infrastructure.
One European energy analyst put it bluntly during a recent panel discussion:
“China is running the biggest live experiment on how much of a country’s power system can be automated by AI. If it works there, it will work anywhere.”
The Road Ahead
China’s goals for 2030 are ambitious:
- Dozens of large-scale AI-energy pilot projects
- Multiple national AI models for every major energy sector
- A fully intelligent grid built around renewables and AI optimisations
- “World-leading” AI-energy standards exported globally
The next five years will determine whether these targets are achievable—or simply slogans.
For now, China’s message to the world is unmistakable:
The future of energy is not only green.
It is intelligent.
And China intends to lead the way.
Login with Google