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SpaceX reportedly projects about $100 billion in annualized revenue for December 2026, mostly from AI

A post sharing a Grok Bot summary of SpaceX CFO Bret Johnsen’s interview puts AI at more than half of that projection and cites capacity guidance of 5–10 gigawatts by the end of 2027.

Elon MuskEM
DogeDesignerDO
2 Sources, 21d ago, first seen 21d ago

TLDR

A September 18 post shares a Grok Bot summary of SpaceX CFO Bret Johnsen’s interview with Tony Kim. The summary projects roughly $100 billion in company ARR, annualized using December 2026, with AI contributing more than half. It also lists capacity guidance of 5–10 gigawatts by the end of 2027, compared with a little over 2 gigawatts for 2026.

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Combined views

479.5K

2 Sources, first seen 21d ago

1.2K likes90 comments247 saves254 reposts

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DogeDesigner@cb_dogeGrok 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.21d
Elon Musk@elonmuskRT @cb_doge: Grok Bot summary of SpaceX CFO Bret Johnsen’s new interview with Tony Kim at SpaceX Mission Control. Bret’s path - Came from…21d
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    2 Sources

    DogeDesigner@cb_dogeGrok 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.21d
    Elon Musk@elonmuskRT @cb_doge: Grok Bot summary of SpaceX CFO Bret Johnsen’s new interview with Tony Kim at SpaceX Mission Control. Bret’s path - Came from…21d
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