This is just my Armchair Guy take, but I still think that SpaceX's primary revenue will still end up being from space applications and not language models.
I could see the best models ultimately ending up in the hands of the public, open-sourced, and the hardware becoming cheap because the models will be so efficient. Fight me lol (but not yet, I just ate).
I really see current "A.I." becoming primarily decentralized and local, without requiring data centers and internet access until you want to look for something specific. I think fine-tuning will become efficient and simple, too. And, that corporate control over the public is going to diminish in a vast way that we can't yet foresee. But, perhaps that's just me putting the energy out there of what I want to see happen.
I Predicted SpaceX Q2 Earning $100B ARR, 2+ GW 2026- NEXT 18 Critical Months.
A 40% spot uplift + cheaper power/shell + wrappers can pull the crossover forward by a quarter or more versus a pure long-term $35–50B locked-rate case.
Risks remain execution on power reliability/permitting, utilization, and any broader rate compression, but the combination of build speed, ownership of modular generation, supplier wrappers, and elevated short-term monetization makes the de-risked path to positive cash flow in the second half of 2027 highly plausible under the assumptions given.
Q3 or Q4 2027 quarterly cash generation from already-completed, high-rate leased capacity begins to exceed the capex being spent on the next 1–2 quarters of ramp. Building GWs and the ~6–8 month payback cycle compounds.
2028 self-funding / strongly cash-flow positive but then AI in Space ramp. Pay the factories and launch facilities.
Each Starship load. Tight payback cycle. 4-5 Months. Build, prep, launch, move to right orbit, activate

Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
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