Geothermal energy is once again attracting attention: AI's electricity demand may become a key catalyst for the industry's rapid growth.

Geothermal energy is quietly coming into the view of some investors, becoming a potential theme that has not yet been fully priced in within the narrative of electricity demand for AI infrastructure.

As the demand for stable, large-scale power from AI data centers continues to rise, next-generation enhanced geothermal systems (EGS) are gaining attention, in addition to nuclear power.

Unlike solar and wind power, geothermal power generation is not dependent on weather conditions and can achieve stable power supply almost around the clock, which theoretically meets the core demand of data centers for basic load power.

It is worth noting that this topic is still in its very early, highly speculative stage, and there is considerable uncertainty as to whether it can develop into a viable commercial solution.

EGS Technology: A Key Variable in Breaking Geographical Limitations

Geothermal power generation is not a new technology. The United States has decades of history of commercial geothermal power generation, with a current installed capacity of several gigawatts.

However, to this day, geothermal power still accounts for less than 1% of the total electricity generation in the United States, and the core limiting factor remains geographical conditions.

Traditional geothermal development relies on naturally occurring underground hot water or steam reservoirs, requiring the natural coupling of heat, water sources, and permeable rock formations in a specific area. This makes traditional geothermal projects highly concentrated in the western United States and a few other regions with favorable geological conditions, making it difficult to replicate and promote on a large scale.

The emergence of the next-generation enhanced geothermal system (EGS) technology has fundamentally changed the above logic.

EGS does not rely on natural reservoirs, but instead draws on horizontal drilling and hydraulic fracturing technologies from the oil and gas industry to artificially construct water circulation channels in deep hot rock, allowing water to absorb heat underground and flow back to the surface to drive power generation. Its logic is quite similar to the disruption of traditional oil and gas extraction by the shale revolution.

Once EGS technology matures, geothermal development will no longer be limited by the geographical distribution of natural reservoirs. In theory, it can be deployed in most areas of the United States where hot rock is economically drillable, significantly expanding the exploitable boundaries of geothermal resources.

However, the technical and economic feasibility of EGS still faces multiple serious challenges.

Drilling to depths of several kilometers is costly, and underground geological conditions are difficult to predict accurately. In addition, water resource depletion, drilling cost control, the risk of inducing seismic activity, and whether the reservoir can maintain sufficient temperature and flow during the commercial operation cycle are all core issues that remain to be resolved.

AI-driven power shortages amplify the geothermal narrative space.

The expansion of AI infrastructure is driving a structural upswing in U.S. electricity demand.

Data centers' electricity demand is not only reflected in the total amount, but also in the stringent requirements for stable power supply around the clock. This makes geothermal electricity, which is renewable and unaffected by weather, theoretically have a differentiated competitive advantage.

According to reports, some utility companies and technology companies are actively evaluating almost all possible stable sources of power generation.

If AI data centers continue to expand across the United States, the power supply gap will widen further, and geothermal energy is expected to become a component of diversified solutions.

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