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Markets Slide, OpenAI Trims Its Raise Again, and the Tesla-SpaceX China Problem

S&P futures dropped 140 points to 7,614 on Halloween morning, reflecting compounding pressures: questions about AI valuations, election uncertainty weighing on domestic-facing stocks, and the OpenAI funding story contributing to a broader reassessment of how much AI infrastructure spending is sustainable. The Financial Times reported that OpenAI cut its funding round target to 20 billion dollars — the second reduction in a single week — as an AI stock sell-off cooled investor appetite even for private-market raises.

Twenty billion dollars remains a historically enormous capital raise. What the reductions signal is a recalibration from the frothy expectations of 2024 and early 2025, when AI funding headlines routinely featured numbers that would have seemed implausible five years prior. A more grounded valuation environment is not necessarily a crisis — it may represent capital markets functioning as designed, applying greater scrutiny to companies commanding valuations based on speculative projections rather than demonstrated revenue.

The ongoing Tesla-SpaceX merger speculation has drawn its most concrete analytical intervention yet, from Bank of America, which flagged China as the single biggest regulatory risk. Tesla's Shanghai Gigafactory produces approximately half of all Tesla vehicles globally, operating inside China's regulatory jurisdiction with Chinese government relationships embedded in its operational structure. SpaceX, by contrast, handles classified government payloads, military satellite systems, and human spaceflight for NASA. Merging the two entities would create a major U.S. defense contractor with significant manufacturing dependency on a country the U.S. government treats as a strategic competitor — a combination that would almost certainly draw scrutiny from the Committee on Foreign Investment in the United States.

Proton — the Swiss privacy-focused company behind ProtonMail and ProtonVPN — offers a smaller but telling data point on the AI workforce narrative. CEO Andy Yen had initiated a process of re-interviewing staff members whose roles were being reconsidered in light of AI capabilities, then canceled those re-interviews. Whether the AI capabilities proved insufficient to justify the disruption or the internal backlash made the process not worth the cost, either reading suggests the distance between AI workforce replacement hype and operational reality remains substantial even in tech-forward environments.