SpaceX Stock Just Crashed — Here’s Why

Can a simple change in the federal minimum wage actually solve the national affordability crisis without destroying jobs? This question anchors a fascinating discussion on the “natural experiment” currently happening across the United States, where 30 states have raised their minimum wages while 20 others remain stagnant at the federal floor of $7.25. The data suggests that the traditional fear—that higher wages lead to mass unemployment—is largely a myth, particularly in high-impact sectors like restaurants.

The conversation also dives deep into the current instability of the tech market, specifically the volatile trajectory of AI-driven stocks. While some investors are fleeing “Big Tech” due to concerns over massive capital expenditures and questionable returns on investment, others are pivoting toward marginal AI participants. This divergence is most evident in the case of SpaceX, which has seen a staggering valuation drop following a massive bond offering to fund its “neocloud” AI operations, highlighting a growing skepticism about where the actual ROI of AI will materialize.

Beyond the balance sheets, there is a critical look at the human capital driving the AI revolution. The departure of key researchers from Google to competitors like OpenAI and Anthropic suggests that bureaucratic friction may be eroding the lead of the world’s largest tech giants. This talent shift, combined with macroeconomic anxieties over interest rates and geopolitical tensions in Iran, creates a precarious environment where secular trends in AI are clashing with cyclical economic pressures.

Surprising Insights

• The Minimum Wage Paradox: Evidence from 30 U.S. states shows that raising the minimum wage led to clear wage growth in the restaurant sector with virtually no negative impact on employment levels.
• The “Neocloud” Pivot: SpaceX has fundamentally transformed from a company focused on Starlink and space exploration into a capital-intensive neocloud business, selling data center capacity to AI labs.
• AI’s Talent Bottleneck: The ability to develop next-generation AI models is concentrated in an incredibly small group—potentially fewer than 100 people globally—making the movement of a few top researchers a major market event.
• Inconsistent Market Valuations: The market is currently acting schizophrenically, pricing “Big Tech” as if the AI cycle is peaking while simultaneously pricing smaller optical and chip companies as if the boom will last until 2030.

Practical Takeaways

• Evaluate AI Investments via ROI: When looking at AI companies, shift focus from “hype” to “return on investment.” Question whether the massive spending on compute and data centers is translating into sustainable revenue.
• Consider “Great Companies at Fair Prices”: Look for high-quality companies (like Microsoft or NVIDIA) during periods of volatility when their price-to-earnings multiples are historically low, rather than chasing overpriced marginal players.
• Advocate for Indexing Wages: To avoid the “stagnation traps” seen in the federal minimum wage over the last 17 years, support policies that index wages to inflation for automatic annual adjustments.
• Monitor “Lockup Expirations”: For those investing in newly public companies, be wary of the “lockup expiration” period, as the sudden influx of shares from early investors often creates significant downward pressure on stock prices.