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SpaceX’s AI Profit Surge Puts a $3.5 Trillion Tesla Combination on the Formal Agenda

By Kokab Rahman, Founder & CEO, Radeya Global

On SpaceX’s third-quarter earnings webcast on 20 October 2026, Elon Musk stated that a combination of SpaceX and Tesla would be “a good idea,” noting that both companies had formed special committees of independent directors—at the request of shareholders—to examine the possibility. He described himself as a conflicted party and therefore excluded from the discussions, emphasized that no terms had been agreed, and cautioned that treating a merger as certain would be “overstating it.” A transaction would require approval by 50 percent of all outstanding Tesla shares (not merely those voted) and, on the SpaceX side, board and controlling-shareholder approval. The comments followed results that showed the rocket, satellite, and AI company swinging to its first profit as a public firm.

SpaceX reported revenue of $14.58 billion for the quarter ended 30 September, up 161 percent year over year and ahead of consensus estimates near $12.7–12.9 billion. Net income reached $4.4 billion. The Super Intelligence segment (the rebranded AI unit that includes compute capacity, Grok, and the recently acquired Cursor coding tool) generated $7.56 billion in revenue—more than nine times the year-earlier figure and larger than Starlink connectivity’s $5.25 billion—while posting $431 million in operating income after prior losses. Nameplate compute stood at 1.7 GW at quarter-end. Capital expenditures totaled roughly $19.6 billion, with the large majority allocated to Super Intelligence infrastructure. Management guided to substantial further capacity additions, targeting several gigawatts online by year-end and more in 2027. Shares rose sharply in extended trading on the results and the merger remarks.

The following day Tesla reported third-quarter results: revenue of $28.05 billion (essentially flat year over year), adjusted EPS of $0.48 (ahead of estimates), GAAP net income of $787 million (down significantly), free cash flow of about $1.5 billion (better than many feared), and capital expenditures of $4.73 billion. Automotive revenue declined modestly while energy storage deployments rose. On the call, management lowered full-year capex guidance somewhat while pointing to continued spending on Optimus, AI compute, Cybercab, and the Terafab semiconductor project undertaken with SpaceX. Tesla’s Form 10-Q, filed shortly afterward, formally disclosed the special committee of disinterested directors formed “to explore deepening Tesla’s relationship with SpaceX, which could be through certain arrangements including without limitation a business combination.” SpaceX’s corresponding filing noted that any combination would also require its controlling shareholder’s approval. Existing commercial ties include substantial Tesla Megapack sales to SpaceX and Tesla’s equity stake in SpaceX (originating from its earlier investment in xAI).

Musk has previously highlighted potential synergies in superintelligence software development, chip design and manufacturing (Terafab), robotics, and connectivity/mass-to-orbit capabilities. The companies already share board-level overlap (Ira Ehrenpreis serves on both) and have collaborated on projects such as the thruster-equipped next-generation Roadster demonstrated earlier in October. Discussions remain early; structures under consideration have reportedly included a SpaceX acquisition of Tesla or a combination under a new holding company, and public endorsement has reportedly complicated arm’s-length process for some involved parties. No timeline or definitive agreement exists, and regulatory review in multiple jurisdictions would be required for any large combination.

For executives and operators, the sequence underscores concentrated capital deployment into AI infrastructure and physical-AI integration across vehicles, energy storage, data centers, and launch systems. Demand is visible for talent that can scale high-volume compute operations, integrate robotics and autonomous systems, manage multi-gigawatt power and thermal projects, and navigate aerospace-automotive supply and manufacturing interfaces. Job seekers with backgrounds in AI operations at scale, semiconductor or chip-plant engineering, robotics integration, or large-capital project finance will see hiring signals concentrated in these overlapping domains. Capital providers and enterprise customers gain clearer visibility into where compute capacity and physical automation assets are being financed and deployed, even as governance questions around related-party processes and shareholder thresholds remain active. The formal committee process moves the discussion beyond speculation while leaving the outcome dependent on independent review, shareholder support, and execution on the underlying AI and robotics build-out.

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SpaceX, Tesla, Merger, ArtificialIntelligence, SuperIntelligence, ComputeInfrastructure, ElectricVehicles, Robotics, Business, Technology, xAI, Grok, CorporateGovernance, Executives, JobSeekers, Terafab, Optimus, Starlink

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