The ability to drill sideways underground, a technique perfected by the fossil fuel industry, is being repurposed to make geothermal energy more powerful. This technology transfer allows for greater energy extraction from hot rocks, making geothermal a more viable clean energy source to meet demand from data centers.

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Landowners who have spent years navigating the grid interconnection process for projects like solar or wind are now pivoting. As they near approval, they repurpose their valuable grid connection rights for data centers, which can generate significantly higher financial returns than the originally planned energy projects.

The massive electricity demand from AI data centers is creating an urgent need for reliable power. This has caused a surge in demand for natural gas turbines—a market considered dead just years ago—as renewables alone cannot meet the new load.

The insatiable demand for power from new data centers is so great that it's revitalizing America's dormant energy infrastructure. This has led to supply chain booms for turbines, creative solutions like using diesel truck engines for power, and even a doubling of wages for mobile electricians.

While controversial, the boom in inexpensive natural gas from fracking has been a key driver of US emissions reduction. Natural gas has half the carbon content of coal, and its price advantage has systematically pushed coal out of the electricity generation market, yielding significant climate benefits.

Poorer countries, unburdened by legacy fossil fuel infrastructure, have a unique advantage. They can bypass the dirty development path of wealthy nations and build their energy systems directly on cheaper, more efficient renewable technologies, potentially achieving energy security and economic growth faster.

For years, the tech industry criticized Bitcoin's energy use. Now, the massive energy needs of AI training have forced Silicon Valley to prioritize energy abundance over purely "green" initiatives. Companies like Meta are building huge natural gas-powered data centers, a major ideological shift.

Contrary to the renewables-focused narrative, the massive, stable energy needs of AI data centers are increasing reliance on natural gas. Underinvestment in grid infrastructure makes gas a critical balancing fuel, now expected to meet a fifth of the world's new power demand (excluding China).

The public power grid cannot support the massive energy needs of AI data centers. This will force a shift toward on-site, "behind-the-meter" power generation, likely using natural gas, where data centers generate their own power and only "sip" from the grid during off-peak times.

To circumvent grid connection delays, infrastructure costs, and potential consumer rate impacts, data centers are increasingly opting for energy independence. They are deploying on-site power solutions like gas turbines and fuel cells, which can be faster to implement and avoid burdening the local utility system.

Crusoe's CEO explains their core strategy isn't just finding stranded energy, but actively developing new power sources alongside their AI factories. By building out power capacity to meet peak demand, they create an abundance of energy that can also benefit the surrounding grid, turning a potential liability into an asset.

Fracking's Horizontal Drilling Technology Is Unlocking Geothermal Energy's Potential | RiffOn