Nuclear power is experiencing a dramatic global resurgence, driven largely by Big Tech's urgent need to fuel massive AI data centers with reliable, low-carbon electricity. Microsoft, Google, and other hyperscalers are partnering with utilities and governments to build nuclear capacity at an unprecedented scale, signaling that renewable energy alone cannot meet the demands of modern artificial intelligence infrastructure.

Why Are Tech Companies Turning to Nuclear Instead of Renewables?

For years, the tech industry promoted wind and solar as the path to sustainable computing. But the reality of powering AI data centers has forced a reckoning. AI systems require constant, predictable electricity supply; wind and solar cannot provide that level of reliability. Nuclear power offers what renewables cannot: dispatchable, low-carbon energy that operates 24/7 without vulnerability to weather or time of day.

Microsoft's president Brad Smith made the company's position explicit, stating that "we clearly need more nuclear power and we're bullish on it," according to reporting by the Wall Street Journal. This isn't just rhetoric. Tech companies are now directly funding nuclear projects alongside traditional energy utilities, a partnership model that addresses nuclear's biggest barrier: the enormous upfront construction costs.

"We clearly need more nuclear power and we're bullish on it," said Brad Smith, president of Microsoft.

Brad Smith, President at Microsoft

How Are Global Leaders Responding to the Nuclear Shift?

The nuclear renaissance extends far beyond Silicon Valley. Japan, which abandoned nuclear power after the 2011 Fukushima disaster, is now reversing course. The country's trade ministry proposed rebuilding between 11 and 14 nuclear reactors by 2050, which would add 16 gigawatts of generation capacity to the grid. This dramatic policy reversal reflects Japan's vulnerability to energy price volatility and geopolitical disruptions in the Middle East, which have made energy independence a national priority.

China is moving even more aggressively. The country plans to put seven new nuclear reactors into operation this year alone, with ground already broken on two of them. Beyond this year's additions, China has approved 16 more reactors for construction and has 36 currently under construction. With 60 reactors already operating and a combined installed capacity of 125 million kilowatts, China has overtaken the United States as the world's largest nuclear power nation after building 34 gigawatts of capacity over the past decade.

Even Germany, which famously shut down all its nuclear reactors in pursuit of renewable energy, has acknowledged the decision was a grave mistake. The country now faces energy security challenges and higher costs, lessons that other European nations are taking to heart.

What's Driving the Global Nuclear Expansion?

• Energy Security Concerns: Geopolitical crises in the Middle East and price volatility in liquefied natural gas (LNG) have exposed the risks of depending on imported fossil fuels, making domestic nuclear capacity a strategic priority.
• AI Data Center Demand: The explosive growth of artificial intelligence requires unprecedented amounts of electricity, and only nuclear can provide the reliable, continuous power that data centers demand without carbon emissions.
• Low-Carbon Requirements: Nuclear remains the only dispatchable, low-carbon energy source available at scale, making it essential for companies and governments committed to climate goals while meeting rising energy demand.
• Cost Competitiveness: While nuclear has high upfront costs, partnerships between tech companies and utilities are making projects financially viable by spreading capital requirements and sharing risk.

What Challenges Remain for Nuclear Expansion?

Despite the momentum, nuclear faces real obstacles. Conventional nuclear reactors require massive upfront capital investment, which has historically deterred new construction. Small modular reactors (SMRs) were promoted as a cheaper alternative, but the technology has struggled to deliver on its promise. NuStar's attempt to build an SMR ended up so expensive that it failed to make commercial sense.

The U.S. Department of Energy is taking the nuclear renaissance seriously, with plans to extend the lives of existing reactors and build new conventional facilities alongside SMRs. The Trump administration has made nuclear expansion an energy priority, and the DoE is even exploring the use of Cold War-era nuclear weapon fuel for power generation to reduce dependence on imported uranium from Russia and Kazakhstan.

"If we can figure out a design that people can be happy with and try and replicate that a series of times, I think that's going to help on construction, it's going to help on operations costs, and that will all lead to hopefully a better cost profile," said Dan Eggers, executive vice president at Constellation Energy.

Dan Eggers, Executive Vice President at Constellation Energy

Steps to Understanding Nuclear's Role in AI Infrastructure

• Recognize the Scale of Demand: AI data centers consume electricity at rates comparable to small cities, making traditional renewable sources insufficient without massive battery storage that doesn't yet exist at commercial scale.
• Understand the Partnership Model: Tech companies are no longer passive energy consumers; they're actively investing in nuclear projects alongside utilities, fundamentally changing how power plants are financed and built.
• Track Policy Changes: Watch for government support for nuclear licensing, construction timelines, and fuel supply chains, as these will determine how quickly new capacity comes online to meet AI demand.
• Monitor SMR Development: Small modular reactors remain a potential game-changer if costs can be reduced through standardized designs and manufacturing, but commercial viability remains unproven.

The nuclear resurgence represents a fundamental shift in how the world approaches energy security and climate goals. For the first time in decades, nuclear power is not just acceptable but essential, driven by the insatiable electricity demands of artificial intelligence. Whether governments and utilities can build reactors fast enough to meet this demand remains the critical question.