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@Av1dlive: I always saw Elon Musk as real...

@Av1dlive
5 views Mar 29, 2026
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I always saw Elon Musk as real life Iron Man. Always winning and dominating.

I realised he isn't lucky his secret lies in

GAME THEORY

he simply is not playing the same game as everyone else

Media image

I mapped his moves across xAI, Tesla, and SpaceX onto formal game theory models. cars, rockets, AI. different industries. same playbook.

every move fits

the AI race is a physical resource game. GPUs, energy, chip packaging, capital.

whoever locks up those four inputs first decides the terms for everyone else.

elon is building the board the other labs play on


>move first, and the game changes for everyone behind you

a land rush. fixed farmland. one settler shows up six months early and claims the best plots.

when the rest arrive, they're picking from what's left. the first settler didn't get good land. he made everyone else's land worse by comparison

xAI did this with GPUs

https://x.com/i/status/1925576123309555767

elon built Colossus, now 555,000 GPUs, starting early 2024 when TSMC chip packaging was at its tightest.

each GPU xAI locked up came out of the pool the other labs were fighting over.

Anthropic needed GPUs from AWS, who needed them from NVIDIA, who needed packaging from TSMC, where xAI had priority. each link in that chain got slower and more expensive because elon was there first

elon committed during peak scarcity. that's why it works

Google is spending $185B on AI infrastructure now. Meta has 1.5M GPUs. OpenAI raised $120B. bigger numbers than xAI.

but they committed 12-18 months later, after packaging capacity started expanding.

a dollar buys less strategic separation in 2026 than it did in 2024. when the resource is capped, timing beats size

Stackelberg leadership is the game theory model here.

first player commits. second player sees it and works around it. the leader captures more value because the follower is reacting

elon's version is worse for rivals than the textbook case.

in the standard model both players draw from an unlimited pool. here the pool is capped.

elon didn't set the pace rather, he shrank what rivals could attempt

the rivals responded as the model predicts.

>OpenAI launched Stargate.
>Anthropic locked in Amazon and Google.

follower responses, both of them. expensive, slower, shaped by the commitment in place


>build the option to walk away, and you win before you use it

AI companies are locked into NVIDIA.

you build your stack around their GPUs, optimize for CUDA, wire datacenters for their hardware.

then you can't leave. NVIDIA knows. their margins reflect it

only fix: make NVIDIA believe you could walk away


elon announced Terafab in March 2026. two chip fabs in Austin.

  • Tesla has a $16.5B Samsung deal for AI6 chips, production starting late 2027.
  • SpaceX needs radiation hardened chips.
  • Tesla needs automotive chips.
  • xAI needs AI accelerators.
  • three companies feed one fab
  • https://x.com/i/status/2035545152886813004

    Terafab doesn't need to ship a single chip to change anything.

    if NVIDIA and TSMC believe elon can build his own supply chain, they give him better allocation and pricing today.

    NVIDIA and TSMC adjust their offers before anyone breaks ground

    Nash bargaining. two sides negotiate, whoever has the better fallback gets more of the surplus. elon is the only player building his fallback

    the SpaceX-xAI merger in February made this real.

  • combined entity worth $1.25T.
  • SpaceX pulling in $8B annual profit to fund the buildout.

  • Google has TPUs, which is a genuine outside option on silicon.

    but Google's option works within one domain.

    elon's spans cars, rockets, and AI. that multi domain demand is what makes the fab economics close.

    OpenAI is building Titan chips.

    Meta has MTIA.

    but neither has cross industry volume to threaten full supply chain independence.

    the economics only close when three companies worth of demand feeds one fab


    > whoever keeps spending longest wins

    GPU allocation is decided by who bids highest, for the longest

    labs bid for scarce GPUs each quarter.

    the player with the deepest reserves can keep going after the others tap out

  • xAI has $20B from its Series E. the SpaceX merger gives access to $8B annual profit and an IPO targeting $75B+.
  • Meta self funds from $160B in ad revenue.
  • Google self funds from search
  • https://x.com/i/status/2036607457175146946

    OpenAI and Anthropic burn cash against finite runway.

    Anthropic chose Amazon dependence instead of building independent infrastructure.

    they are settling for a worse position because it couldn't sustain the bid

    war of attrition. player with the lower cost of continuing wins. the others fold or settle. we're watching the settling happen live


    > the flywheel nobody else can copy

    the three mechanisms above describe single moves.

    together they compound

    xAI trains on Colossus.
    Grok gets about 70M users through X.
    revenue goes back into GPUs.

    loop 1 : a well funded lab could build something like this

    loop 2 is where I think the gap becomes permanent

  • Tesla collects driving data from millions of cars.
  • SpaceX brings power expertise and orbital compute.
  • Tesla Megapacks solve energy storage for datacenters.

  • Google operates in one domain. Meta in one. OpenAI in one.

    elon operates across 4 where a gain in one speeds up the others

    data, energy, distribution, compute feeding each other across company lines

    single domain players compound in a straight line.

    cross domain players compound in curves.

    more compute improves cars which generates data which improves models which generates revenue which buys more compute.

    each round the gap is wider than the last


    Meta's 3.3B users and open source strategy is the strongest counter. if Llama is free, models become a commodity. we know how that is going (lol)

    I go back and forth on this one.

    but even if Meta commoditizes models, the infrastructure layer stays scarce.

    if models are free, the race shifts to inference cost.

    you'll beat rented GPUs with owned GPUs on that axis every time


    >conclusion

    I thought Elon was solving first-principles problems faster than everyone else.

    But speed isn’t the advantage.

    The advantage is this:

    he commits early in markets where the critical inputs like GPUs, energy, capital and manufacturing are constrained.

    That lets him lock supply, raise the cost of competition, and force every other player to react inside a reduced option space.

    Then he builds loops across his companies using the loop of data, distribution, compute which then compounds that early position over time.

    What looks like dominance is just downstream effect and good-old game theory


    * Sources & Disclaimer

    Elon Musk by Walter Isaacson
    The book of Elon Musk by Eric Jorgensen
    Lex Friedman podcast with Elon Musk 2024 episode

    This article is edited by Minimax M2.7. It's written by me, Avidlive author.
    This is purely my opinion, speculative in nature.

    Thumbnail has been inspired by David Senra's Founders Podcast episode named "How Elon Works".

    thanks to @elonmusk for being such an inspiration
    to @EricJorgenson thanks for the awesome book.

    @grok give a good summary in 6 bullet points for everyone too lazy to read it

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