Prediction: SpaceX Won't Merge With Tesla. It's Going to Buy This Nvidia-Backed Artificial Intelligence (AI) Company Instead.

SpaceX is said to be pricing its IPO at $135 per share for 555.6 million shares, implying a $75 billion capital raise, with proceeds potentially used for Nvidia GPUs and Terafab build-out. The article also highlights a possible acquisition strategy, including interest in Nokia, which would extend SpaceX’s AI and communications infrastructure stack. The piece is largely speculative, but it underscores a sizable IPO and potential strategic M&A optionality.

Analysis

The market is likely underpricing how an IPO this large can function as a strategic capital-allocation event rather than a pure liquidity moment. If proceeds are redirected into compute, network infrastructure, and acquisitions, the real winner is not the issuer alone but the surrounding industrial stack: GPU supply, edge networking, and optical/telecom vendors that become embedded in a longer-duration buildout. That should keep upside pressure on NVDA near term, but it also creates a subtle substitution risk for other AI-capex names if buyers increasingly consolidate spend around a single vertically integrated ecosystem.

The more interesting second-order effect is that the potential acquisition path raises the probability of a “closed-loop” infrastructure thesis becoming investable before profitability is fully visible. That could compress returns in adjacent telecom equipment names if investors start to handicap strategic takeout value into the group, while simultaneously forcing competitors to spend more aggressively on AI-native RAN to avoid being disintermediated at the edge. In other words, the sector may move from a hardware cycle trade to a platform-control race, which typically favors the best-capitalized incumbent with the most integrated roadmap.

The biggest risk is timeline mismatch: IPO enthusiasm can price in multiyear optionality that regulatory scrutiny, integration risk, or funding constraints can delay by quarters or years. The acquisition angle is especially vulnerable because any large cross-sector deal would face antitrust, national-security, and customer-concentration questions, and a blocked transaction would likely unwind some of the speculative premium quickly. For NVDA, the near-term setup is stronger than for any merger target because compute demand is immediate, while M&A optionality is slower and far more binary.

The contrarian takeaway is that this is less a read-through on telecom M&A than on the monetization of AI infrastructure control. Consensus may focus on headline deal size, but the real signal is that scarce GPU supply and edge-network ownership are becoming strategic bargaining chips; if that thesis gains traction, the market will start rewarding firms that sit at the bottlenecks of power, spectrum, and inference latency rather than just model quality.

Key Decisions for Investors

• Long NVDA on any post-IPO pullback over the next 1-4 weeks; the company gains from incremental GPU pull-through without needing M&A to close, and the risk/reward favors owning the bottleneck supplier into a likely capex re-acceleration.
• Buy a short-dated call spread on NVDA (4-8 weeks) to capture sentiment spillover from the IPO/use-of-proceeds narrative while limiting downside if the market dismisses the M&A speculation.
• Relative-value trade: long NVDA / short a diversified telecom-equipment basket for 1-3 months; if the market starts paying for AI-RAN optionality, the pure hardware supplier should outperform names that depend on slower carrier spending cycles.
• Avoid chasing speculative upside in TSLA on this story; any read-through is indirect and the probability-weighted impact is too low versus headline volatility, making it a poor standalone expression.
• Set a tactical alert for any confirmed acquisition diligence or regulatory chatter; that is the point where the target's stock could gap, but absent hard evidence the current premium looks more like event-driven optionality than fundamental rerating.