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.

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.

Google's "Project Suncatcher" aims to place AI data centers in orbit for efficient solar power. However, the project's viability isn't just a technical challenge; it fundamentally requires space transport costs to decrease tenfold. This massive economic hurdle, more than technical feasibility, defines it as a long-term "moonshot" initiative.

The next wave of space companies is moving away from the vertically integrated "SpaceX model" where everything is built in-house. Instead, a new ecosystem is emerging where companies specialize in specific parts of the stack, such as satellite buses or ground stations. This unbundling creates efficiency and lowers barriers to entry for new players.

While experts dismiss Elon Musk's idea of space-based AI data centers as unviable, this overlooks his history with SpaceX, which consistently achieves what was deemed impossible, like reusable rockets. His analysis of the physics and economics may be more advanced than public criticism allows.

SpaceX's dominant position can be framed for an IPO not as a player in terrestrial industries, but as the owner of 90% of the entire universe's launch capabilities. This narrative positions it as controlling the infrastructure for all future off-planet economies, from connectivity to defense, dwarfing Earth-bound tech giants.

The two largest physical costs for AI data centers—power and cooling—are essentially free and unlimited in space. A satellite can receive constant, intense solar power without needing batteries and use the near-absolute zero of space for cost-free cooling. This fundamentally changes the economic and physical limits of large-scale computation.

During the Apollo era, NASA debated two moonshot strategies: a single, massive rocket for a direct launch versus a logistics-focused approach with in-orbit refueling. While direct launch won at the time, today's strategy for Mars has reverted to the refueling concept as the more sustainable and scalable long-term solution.

A moonshot isn't just a big goal. It requires three parts: a major global problem, a sci-fi sounding solution that would solve it, and a specific breakthrough technology that makes the solution seem just barely possible. This framework creates a testable hypothesis.