Grok Bot summary of SpaceX CFO Bret Johnsen’s new interview with Tony Kim at SpaceX Mission Control. Bret’s path - Came from semiconductors (Qualcomm, Broadcom; was CFO of MindSpeed) - Barely knew SpaceX / Elon when a board member called - Thought aerospace sounded “old and stodgy” vs 6-month chip cycles - Visited the rocket factory, called his wife on the drive home: we’re moving back to LA - Now sits in the same magical factory: Dragon in the rafters, ~700 launches run from Mission Control, ~40 buildings feeding the campus - Full circle: semiconductors again via AI / chips --- Taking on AI complexity (during the biggest IPO ever) - SpaceX DNA: run toward “impossible” challenges (first booster recovery felt like a rock concert) - xAI acquisition in January + X + Cursor + Colossus = complexity multi-X in ~1–2 years - AI is now the biggest business at SpaceX - Bought time-to-market into the biggest product cycle of their lifetime - SpaceX leadership DNA applied to that team - Already feel leading on infra cost and speed - Products moving: Grok 4.6, 4.7 soon, Grok Bot viral, Cursor strong - Every week matters; soon every day --- AI business: the money picture - ~$100B company ARR exiting this year (annualized on December) — AI is more than half / the majority - A year ago AI revenue was ~zero - Capacity: a bit over ~2 GW this year → guidance 5–10 GW by end of next year - Becoming one of the biggest hyperscalers, fast Why they move so fast (vertical integration) - Engineer the data centers themselves - Act as GC: buildings, power, cooling, networking (plus partners) - Used to regulators from rockets + telecom - Removes margin stacking - Talent transfer: launch-site / pressurized systems people onto data centers — Elon compared it to Yankees vs little league Hosting model / ROI - Monetize compute while catching up on software - Demand knocked: “what are you doing with all that Colossus compute?” - Short contracts: ~3 months + 3-month out (flexibility for their own future training needs) - Payback: dramatically less than one year on cutting-edge terrestrial compute - Hosting customers include tier ones like Anthropic, Google, and others - Same watts can later flip to their own software at higher $/watt — optionality Frontier models - Moving maybe faster than anyone on trajectory - ~5 serious players; need to be at frontier for recursive improvement - Coding solutions improving dramatically - Consumer vs enterprise tools will stratify - Grok Bot: growing faster than anything they’ve seen; “transformational” user feedback; enterprise coming; expects roll into Cursor AI safety - Follow Elon’s self-regulation / peer-review path (like other industries) - Logical, collaborative, including outside the US - Hopeful something lands quickly TAM framing (IPO) - ~$28T TAM quoted at IPO; AI was ~$25–26T of that (digital AI only) - Physical AI not even in that number — Bret thinks physical AI eventually bigger than digital - Launch / space TAM = hundreds of billions (almost rounding vs AI) - Connectivity (mobile + broadband) ~$2T — still small vs AI - Differentiation: infra + X content (~500–600M MAUs) + consumer + enterprise push (Cursor etc.) What to watch: Starship + terrestrial compute Bret’s prioritization cheat code: 1. Get Starship right 2. Get terrestrial compute right for the next ~2 years until orbital kicks in → Transformational financially Starship status - Catalyst for all three businesses: space, satellites, AI - Holy grail: full reusability → another ~10x cheaper $/kg to orbit - Opens moon boots / lunar base / bigger industry - Flight 14 later this month: production V3 Starlink broadband satellites — real revenue payload - One Starship V3 load ≈ ~20× what Falcon 9 flew for Starlink capability - Each V3 satellite ~1 terabit; ~50–60 per flight = enormous bandwidth per launch - A couple launches start filling V3 planes; first-half-next-year benefits - Eventually Starlink as % of global internet traffic - Connectivity demand from machines (robots, AVs, agents) will dwarf human brains - Same Starship unlocks next-gen direct-to-cell / direct-to-device - Same bus + more solar + radiator + compute chips = orbital compute constellation Reusability timeline - Flight 15 may attempt catch / bring back first + second stage - First stage already recovered and reflown - Flight 13 soft splash best yet; recovered ship like a whale, engineers studied heat shield - Reliable stage recovery this year; meaningful reflight next year - Once a few second stages reflight → orbital compute cost can match terrestrial - Then orbital cost curve goes down (tech / Moore’s law / aircraft-like amortization) while terrestrial gets more expensive (power, labor, regulation, cooling) - Clean free solar, no community impact - Industry agrees space compute is the future — debate is timing; others say ~decade; SpaceX flies first ones next year; meaningful compute in ~2028 Scale ambition - Both cost and speed matter; near-term availability/speed most important - On track toward ~100 GW/year by end of decade (~20% of entire US grid each year) - Elon talking terawatt-scale in the 2030s - Hosting proves staying power + virtuous cycle for industry - New NVIDIA platforms: just fly the next satellite generation — no whole new terrestrial campus cycle TerraFab (chips / memory) - Parallel to orbital ramp, not after - Not replacing NVIDIA — love the partnership; will buy all they can - Worry is deeper fab / memory supply chain - Memory industry ~30%/yr growth vs SpaceX wanting triple-digit — won’t work - Hard technical challenge; memory may be early focus - Want volume benefit by late decade (demo next year with Tesla development line → something in ’28 → meaningful ’29+) Viewer Q&A highlights **First bottleneck in the AI chain?** - Chip supply for next year - Power for infra players (utilities used to ~1% growth; turbines / blades constrained) - SpaceX standing up investment casting for turbine blades themselves - Orbital is the big unlock; squeeze every terrestrial watt meanwhile How to tell durable AI spend vs keep-up spend? - Bret: durability of revenue; diversified monetization of the same compute; host now, software later at higher $/watt; guided next-year monetization range ~$30–50/watt - Tony: stack layers have different costs, margins, contract duration; SpaceX spans many layers with <1-year payback on infra How soon a data center in space? - First orbital compute satellites end of next year - Meaningful compute in 2028 - Better phrase: “racks in space,” not giant buildings - Same V3-like bus + solar + radiator + compute chips - Already flown ~11,000 sats; launch + inter-sat + ground links already solved - ~full rack (~72 NVIDIA-class) concept per sat; ~5 MW compute per launch Tony’s investor wrap - Still early; trends accelerate into physical AI and beyond Earth - Connectivity / tokens increasingly for machines, not just humans --- Bottom line in one breath SpaceX is using rocket DNA — vertical integration, crazy talent, short-cycle iteration — to become a top AI infra + software player now, while Starship unlocks Starlink V3, direct-to-cell, and orbital “racks in space.” Watch two things: terrestrial compute scale (toward $100B ARR and multi-GW) and Starship reusability. Everything else is downstream of those.