NVIDIA and General Atomics have unveiled an AI-powered digital twin of a fusion reactor, marking a major step toward faster, smarter, and more cost-effective fusion development. This innovation could redefine how scientists simulate and control plasma, and bring commercial fusion energy closer than ever before.

The narrative around fusion energy is changing. Once seen purely as a scientific experiment, fusion is now gaining real commercial traction. Breakthroughs in physics, billion-dollar investments, and even power deals signed by major tech companies are accelerating its path to market. What was once a distant promise is now a fast-emerging industry, and global interest in fusion energy is growing rapidly.

Artificial Intelligence is transforming fusion energy from a distant dream into a tangible reality. By predicting plasma instabilities before they happen, accelerating complex simulations, and optimizing reactor designs, AI is giving scientists the tools to tame the power of the stars. But how exactly can AI do that?

China is rapidly emerging as a global leader in the race toward commercial fusion energy. With massive state-backed funding, cutting-edge research facilities, and strategic international collaborations, the country is positioning itself to play a defining role in shaping the future of clean, limitless power.

As fusion energy moves closer to commercialization, its success depends not only on scientific breakthroughs but also on smart, adaptive regulation. While some countries are taking the lead through strategic investments and national policies, critical regulatory gaps still persist. What kind of collaboration is needed between governments and industry players to turn the promise of fusion energy into a global reality?

As Türkiye scales up its renewable energy capacity, a hidden challenge threatens to undermine its progress. Explores how grid modernization is becoming the critical backbone of Türkiye’s energy transition.