Jeff Bezos's post-Amazon focus isn't on space colonization but on offshoring Earth's polluting industries, like manufacturing and data centers. This "garden and garage" concept treats space as a utility to preserve Earth's environment, not just a frontier for human exploration.

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.

From a first-principles perspective, space is the ideal location for data centers. It offers free, constant solar power (6x more irradiance) and free cooling via radiators facing deep space. This eliminates the two biggest terrestrial constraints and costs, making it a profound long-term shift for AI infrastructure.

While currently straining power grids, AI data centers have the potential to become key stabilizing partners. By coordinating their massive power draw—for example, giving notice before ending a training run—they can help manage grid load and uncertainty, ultimately reducing overall system costs and improving stability in a decentralized energy network.

A recent Harvard study reveals the staggering scale of the AI infrastructure build-out, concluding that if data center investments were removed, current U.S. economic growth would effectively be zero. This highlights that the AI boom is not just a sector-specific trend but a primary driver of macroeconomic activity in the United States.

The most critical component of a data center site is its connection to the power grid. A specialized real estate strategy is emerging where developers focus solely on acquiring land and navigating the multi-year process of securing a power interconnection, then leasing this valuable "powered land" to operators.

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.

The primary factor for siting new AI hubs has shifted from network routes and cheap land to the availability of stable, large-scale electricity. This creates "strategic electricity advantages" where regions with reliable grids and generation capacity are becoming the new epicenters for AI infrastructure, regardless of their prior tech hub status.

Finland's competitive advantage in attracting foreign direct investment for data centers is not just policy-driven. It stems from a practical combination of relatively inexpensive electricity and a naturally cool climate, which significantly lowers the high energy costs associated with cooling hardware.