2026 America Innovates | Fracking Pioneer Harold Hamm Calls Oil And Gas The Most Reliable Energy For AI
Kerry Dolan sits down with Harold Hamm at America Innovates in San Francisco, California.
- AI datacenters are projected to consume up to 9% of U.S. electricity by 2030, up from ~2% today, driving the search for reliable baseload power.
- Harold Hamm, founder of Continental Resources with an estimated $18 billion fortune, made his remarks at the 2026 America Innovates summit in San Francisco.
- Tech giants including Google, Microsoft, and Amazon have signed power-purchase agreements for natural gas despite net-zero pledges, signaling the challenge of using only renewables.
- The proposed AI and Energy Reliability Act in the U.S. Congress would expedite permits for natural gas plants serving datacenters, reflecting policy momentum toward fossil fuels.
- Environmental groups warn that committing to natural gas for AI could lock in carbon emissions for decades, clashing with climate goals set by the Paris Agreement.
Harold Hamm, the billionaire fracking pioneer who helped unlock America's shale revolution, told Forbes editor Kerry Dolan that intermittent renewables cannot meet the 24/7 power demands of artificial intelligence. "Wind and solar are great, but they're not always there," Hamm said during a fireside chat at the May 2026 event. "For AI to scale, you need baseload power, and that means natural gas and oil."
Hamm's remarks come at a critical moment. AI datacenters are projected to consume up to 9% of all U.S. electricity by 2030, up from about 2% today, according to a Goldman Sachs analysis. That surge is straining grids already struggling to decarbonize. Tech giants like Google, Microsoft, and Amazon have pledged to run their datacenters on 100% clean energy, but they continue to sign power-purchase agreements for natural gas and even explore small modular nuclear reactors—a sign that renewables alone can't guarantee reliability.
The America Innovates summit, held in San Francisco on May 22, 2026, brings together tech leaders, investors, and policymakers to discuss the future of American innovation. Hamm, who built a personal fortune estimated at $18 billion from Continental Resources, was an unlikely star in a room full of software executives. Yet his message resonated: the best way to keep AI humming is to ensure a steady supply of affordable, dispatchable energy.
Continental Resources, the company Hamm founded in 1967 and took private in 2022, remains one of the largest crude oil and natural gas producers in the Bakken Shale. Hamm has long been a vocal advocate for domestic energy production and a critic of restrictive environmental regulations. At America Innovates, he argued that the AI industry's energy problem is too pressing to wait for breakthroughs in battery storage or green hydrogen. "We can scale natural gas production quickly, with existing infrastructure, and it's the most reliable energy for AI right now," he said.
Industry observers point out that Hamm's stance mirrors a broader shift. The Biden administration's 2022 Inflation Reduction Act poured billions into clean energy, but permitting bottlenecks and grid interconnection delays have slowed solar and wind deployment. Meanwhile, a wave of datacenter announcements—from OpenAI's planned $100 billion Stargate project to Meta's new $10 billion facility in Texas—has pushed utilities to keep gas-fired plants running longer. "Harold Hamm is saying what many utility executives whisper privately," said energy analyst Amy Myers Jaffe of Tufts University. "AI's energy appetite is growing so fast that every megawatt counts, and natural gas is the only scalable bridge."
Looking ahead, Hamm's call for reliable energy for AI could accelerate policy debate. Republicans in Congress have already introduced the AI and Energy Reliability Act, which would fast-track permits for natural gas power plants serving datacenters. Environmental groups warn that locking in fossil-fuel infrastructure for decades risks undermining climate goals. Yet Hamm remains unbowed: "Stop pretending we can run the AI revolution on sunshine and wind. If America wants to lead in AI, we need to lead in energy too."
The America Innovates conversation underscores a defining tension of the 2020s: how to reconcile the insatiable power demands of AI with the imperative to decarbonize. As datacenter construction accelerates and AI models grow larger, the choice between reliability and emissions may sharpen further—and Harold Hamm has placed his bet squarely on the former.
Frequently Asked Questions
Harold Hamm argued that AI datacenters require 24/7 baseload power, which intermittent renewables like wind and solar cannot provide reliably. He said natural gas and oil are the only scalable energy sources that can meet that demand today, given existing infrastructure and quick deployment.
According to Goldman Sachs, AI datacenters in the United States could consume up to 9% of total U.S. electricity by 2030, up from about 2% currently. This rapid increase is driving the search for reliable, always-on power sources.
The AI and Energy Reliability Act is a proposed U.S. bill that would fast-track permitting for natural gas power plants specifically built to serve AI datacenters. The legislation aims to ensure reliable energy supply as AI scales, but has drawn criticism from environmental groups.
Yes. Despite net-zero pledges, major tech companies like Google, Microsoft, and Amazon have signed power-purchase agreements for natural gas to power their datacenters. They also explore small modular nuclear reactors, but natural gas remains a practical bridge fuel.
Environmental groups warn that building long-lived natural gas infrastructure to serve AI datacenters could lock in carbon emissions for decades, making it harder to meet climate targets under the Paris Agreement. They advocate for accelerated deployment of renewables, battery storage, and grid improvements instead.
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