SpaceX Asks FCC for 1M AI Data Centers in Space

Summary of SpaceX Asks FCC for 1M AI Data Centers in Space

by The Jaeden Schafer Podcast

11mFebruary 6, 2026

Overview of The Jaeden Schafer Podcast — "SpaceX Asks FCC for 1M AI Data Centers in Space"

Host Jaeden (Jaeden/ Jaden) Schafer breaks down recent filings and public comments from SpaceX and Elon Musk that suggest a serious push to build very large-scale AI compute in orbit — potentially on the order of hundreds of thousands to a million satellites acting as data-center nodes. The episode covers the SpaceX–XAI merger, the FCC filing and acceptance, Musk’s technical and economic rationale, logistical challenges, and the commercial/regulatory implications.

Key takeaways

  • SpaceX filed with the FCC for permission to deploy a massive network of satellites to host AI compute in orbit; the FCC accepted the filing and opened it for public comment.
  • SpaceX and XAI have formally merged, signaling shared infrastructure plans between launch and AI compute ambitions.
  • Elon Musk argues space-based data centers can be cheaper and more scalable than terrestrial ones — citing higher solar power yield in space and simpler cooling.
  • Musk predicts that within ~30–36 months space will be the most cost-effective place to run AI, and within five years more AI compute will be launched to orbit each year than exists on Earth.
  • Major technical and operational questions remain (hardware failure, maintenance, deorbiting requirements).
  • Financially, this fits SpaceX’s business model (more guaranteed launches) and XAI’s need for vast compute; Bloomberg valuations cited the merged entity at roughly $1.25 trillion.

Details & evidence presented

  • FCC filing: SpaceX submitted paperwork requesting permission for a large-scale satellite data-center network; the FCC accepted it and opened a public-comment period. FCC Chair Brendan Carr posted the filing on X and signaled conditional support (particularly if infrastructure is U.S.-based).
  • SpaceX–XAI merger: Completed, framed by Musk as necessary to build space-based AI compute. The memo alleges terrestrial AI growth strains local power and cooling resources.
  • Public comments: Elon Musk on the Cheeky Pint podcast with Dorkish Patel and John Collison:
    • “It’s harder to scale on the ground than it is to scale in space.”
    • Solar panels yield “about five times more power in space than on Earth,” making space power cheaper per unit.
    • Timeline claims: mark ~30–36 months (around 2028) for space to be most cost-effective; within five years, orbital compute launched yearly will exceed terrestrial compute capacity launched/added yearly.
  • Industry context:
    • Global ground-based data-center capacity expected to reach ~200 GW by 2030 (close to $1 trillion in infrastructure).
    • Bloomberg reports: XAI burning ~$1 billion/month; SpaceX gets ~80% of revenue from Starlink.
    • Bloomberg valuation: combined SpaceX/XAI valued at ~$1.25 trillion in reporting.

Technical & logistical considerations

  • Power and cooling:
    • Advantage: Solar generation in orbit is stronger and continuous (no night/day losses for some orbits) — Musk claims ~5× yield vs. Earth, and vacuum/space “cold” could reduce cooling costs.
    • Caveat: Electricity is not the only cost for data centers — compute hardware, redundancy, interconnect, maintenance, and latency matter.
  • Maintenance and reliability:
    • How to replace or repair failed hardware in orbit remains a major unresolved issue — on-orbit servicing, redundancy, or robotic repair would be required.
    • Satellite lifetime and rules: FCC rules require satellites to be deorbited after five years; this implies ongoing manufacturing and launch demand (cyclical replacement).
  • Communications and latency:
    • Bandwidth and inter-satellite/inter-ground links would be critical; Starlink advantage could help but architectural details were not provided.
  • Environmental claims:
    • Musk frames this as relieving terrestrial power/water strain (cooling on Earth), but moving huge infrastructure to orbit raises new environmental, debris, and lifecycle issues.

Commercial & financial implications

  • Launch demand: Space-based data centers create sustained launch demand for SpaceX (manufacture → launch → replace on 5-year cycle).
  • Revenue mix: SpaceX’s existing Starlink revenue stream (~80% of revenue) could be complemented by launches and orbital infrastructure operations.
  • Valuation & IPO:
    • Merged company valuations reported by Bloomberg ~ $1.25T.
    • SpaceX reportedly preparing for an IPO (timing unclear); the merger may affect that timeline but Musk gave no specifics.
  • Cost dynamics: If Musk’s power and cooling claims hold, operating cost per watt could be favorable — but capex, maintenance and replacement costs could offset savings.

Regulatory & environmental concerns

  • FCC process: Filing accepted; public comment period is open. Chairman Brendan Carr signaled conditional support.
  • Deorbit requirement: FCC rules require disposal/deorbit plans within five years — increases replacement/launch cadence and debris-management obligations.
  • Local impact: Musk cites strain on local infrastructure (e.g., XAI data center in Memphis) as motivation; ground-based impacts remain an ongoing concern for terrestrial data centers.
  • Open issues: Space debris, international regulation, spectrum allocation, and environmental impact of increased launches.

Notable quotes from the episode

  • “It’s harder to scale on the ground than it is to scale in space.” — Elon Musk (podcast)
  • “A solar panel gives you about five times more power in space than on earth.” — Elon Musk
  • Prediction: In ~30–36 months space will be the most cost-effective place to run AI; within five years more AI compute will be launched and run in orbit each year than the total amount operating on Earth.

Open questions and risks

  • How will SpaceX/XAI handle hardware failures and on-orbit maintenance at scale?
  • What are the true lifecycle costs (manufacturing, launch, replacement) versus terrestrial amortized infrastructure?
  • How will latency and interconnects affect AI workloads that require fast communication between nodes?
  • Regulatory hurdles beyond FCC: international coordination, spectrum conflicts, and space-debris mitigation.
  • Environmental tradeoffs of many launches (emissions, upper-atmosphere impacts) vs. reduced terrestrial cooling/power strain.

What to watch next (actionable items)

  • Monitor the FCC public comment docket on SpaceX’s filing to see industry/regulatory responses.
  • Watch for technical details or pilot demonstrations from SpaceX/XAI showing prototype on-orbit compute or servicing solutions.
  • Track SpaceX launch cadence and announcements on Starship/Starlink capacity that might support orbital compute.
  • Follow XAI product updates and funding burn rate disclosures (compute needs will influence pace).
  • Keep an eye on any IPO filings or updated valuations from Bloomberg/other outlets.

Host notes & sponsorship plug

  • Host Jaeden Schafer promotes his startup AIbox.ai: a platform that aggregates multiple AI models (ChatGPT, Anthropic, Google Gemini, XAI, Perplexity, image/audio models, etc.). New $9/month tier provides access to 40+ models and centralized media storage. Link referenced in episode description.