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.

For new nuclear tech, competing with cheap solar on cost is a losing battle. The winning strategy is targeting "premium power" customers—like the military or hyperscalers—who have mission-critical needs for 24/7 clean, reliable energy and are willing to pay above market rates. This creates a viable beachhead market.

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.

China's dominance in clean energy technology presents a deep paradox: it is funded by fossil fuels. Manufacturing solar panels, batteries, and EVs is incredibly energy-intensive. To meet this demand, China is increasing its coal imports and consumption, simultaneously positioning itself as a climate 'saint' for its green exports and a 'sinner' for its production methods.

When power (watts) is the primary constraint for data centers, the total cost of compute becomes secondary. The crucial metric is performance-per-watt. This gives a massive pricing advantage to the most efficient chipmakers, as customers will pay anything for hardware that maximizes output from their limited power budget.

The narrative of energy being a hard cap on AI's growth is largely overstated. AI labs treat energy as a solvable cost problem, not an insurmountable barrier. They willingly pay significant premiums for faster, non-traditional power solutions because these extra costs are negligible compared to the massive expense of GPUs.

Intentionally create open-ended, flexible products. Observe how power users "abuse" them for unintended purposes. This "latent demand" reveals valuable, pre-validated opportunities for new features or products, as seen with Facebook's Marketplace and Dating features.

Beyond the well-known semiconductor race, the AI competition is shifting to energy. China's massive, cheaper electricity production is a significant, often overlooked strategic advantage. This redefines the AI landscape, suggesting that superiority in atoms (energy) may become as crucial as superiority in bytes (algorithms and chips).

Achieving photorealistic virtual nature requires immense computational power, leading to significant energy consumption and carbon emissions. The gaming industry's emissions are estimated to be around 50 million tons of CO2 annually, comparable to a country like Sweden, ironically harming the real environment it seeks to simulate.