A recent exchange between Sam Altman and Elon Musk on social media has renewed scrutiny on the commercial viability of orbital data centers, underscoring a persistent gap between entrepreneurial ambition and engineering reality. Responding to Musk’s accusations regarding the space-compute sector, Altman defended the long-term potential of in-space processing, though the debate reflects a broader consensus among industry experts: space data centers will not meaningfully impact the AI or cloud markets in the near term. SpaceX’s valuation, which recently surpassed two trillion dollars, is heavily predicated on the promise of orbital compute infrastructure capable of accelerating AI inference and hosting decentralized data networks. Bullish market analysts have framed this potential as unprecedented. However, conversations with aerospace engineers, space-data startup founders, and representatives from competing orbital-compute initiatives reveal consistent technical and economic barriers. The consensus indicates that scalable orbital computing requires fundamentally cheaper launch systems and the capacity to manufacture high-performance satellites en masse, neither of which currently exists. SpaceX’s primary counterargument centers on Starship, the heavy-lift launch vehicle expected to conduct its thirteenth test flight on July 16. Successful recovery and rapid reuse of the system would theoretically resolve the cost hurdles facing orbital infrastructure. Yet, even if the upcoming flight achieves full stage recovery, operational reusability remains several years away. Furthermore, SpaceX management has already indicated in its IPO roadshow that early Starship iterations may necessitate discarding the second stage, undermining the economics required for profitable space data centers. Compounding these challenges are competing mission priorities. NASA commitments and the aggressive expansion of the Starlink satellite constellation are expected to consume launch capacity for the foreseeable future, pushing specialized orbital compute deployments further down the priority list. While SpaceX could theoretically launch a single high-speed computing satellite next year, achieving the volume and cost efficiency necessary to influence the global AI landscape will not materialize until the 2030s. The current discourse highlights a recurring theme in aerospace technology: the distinction between theoretical capability and commercially viable scale remains substantial. Until launch costs plummet and manufacturing pipelines mature, orbital data centers will remain a speculative frontier rather than an immediate solution for AI computing demand.