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.

Following predictions from Jeff Bezos and investments from Eric Schmidt, Elon Musk has entered the space-based data center race. He stated that SpaceX will leverage its existing Starlink V3 satellites, which already have high-speed laser links, to create an orbital cloud infrastructure, posing a significant challenge to startups in the sector.

The new wave of space startups is moving away from the SpaceX "build everything yourself" model. Instead, companies like Apex Space are unbundling the stack, specializing in one component like satellite buses. This allows for faster development cycles and creates a more robust, collaborative industry.

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.

K2 Space, now a major player in space infrastructure, began with the contrarian goal of building large telescopes, bucking the small-satellite trend. This focus forced them to solve for high power and large structures, creating a versatile platform that is now perfectly positioned for communications and compute applications.

Leaders from Google, Nvidia, and SpaceX are proposing a shift of computational infrastructure to space. Google's Project Suncatcher aims to harness immense solar power for ML, while Elon Musk suggests lunar craters are ideal for quantum computing. Space is becoming the next frontier for core tech infrastructure, not just exploration.