Space is becoming the new AI frontier

Space is becoming the new AI frontier

The core thesis here is blunt: space is becoming a new frontier for AI, and one of the most competitive ones. The essay frames AI’s frontier as a story of scarcity — ideas, then data, then FLOPs, and now energy. In that telling, orbit is the place where energy is effectively unmetered and no zoning board gets a vote, which makes low Earth orbit less like a science project and more like contested economic territory.

The cast is not shy about the stakes: trillion-dollar companies, hyperscalers, chipmakers, nation-states, and venture-backed startups are all filing, launching, and spending against each other on compressed timelines, with real hardware already running in orbit. And the thesis has a very literal proof point: as of December 2025, the first large language model ever trained in space was nanoGPT, trained on the complete works of Shakespeare aboard an H100 in a 130-pound satellite. The frontier, in other words, now has a loss curve.

Gobble's Take: When orbit becomes the place where scarcity goes to die, the scramble stops sounding futuristic and starts sounding expensive.
Source: Perplexity Search

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