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The implied volatility for LEAP options on mega-cap tech companies like Meta and Microsoft is in the high 30s. This may be an underestimation of the potential upside, given that AI could create a winner-take-all market. When a company like Meta issues executive options implying a 5x stock increase, 40% vol can feel cheap.

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While investors now believe in AI's transformative power, it remains unclear who will profit most. Value could accrue to chip makers (NVIDIA), foundation models (OpenAI), or the application layer. This fundamental uncertainty is a primary driver of the significant volatility across the tech sector.

The true financial windfall from AI won't come from hyped, "AI-native" companies like OpenAI. Instead, established giants like Meta and Amazon will generate massive shareholder value by applying AI to optimize their existing, scaled operations in areas like ad targeting, logistics, and robotics.

Dismissing AI's current capabilities is a mistake due to its exponential improvement rate, evidenced by rapid advances in video generation. Markets selling off established companies based on nascent AI competitors are rationally pricing in this non-linear progress, rather than overreacting.

The current AI boom isn't just another tech bubble; it's a "bubble with bigger variance." The potential for massive upswings is matched by the risk of equally significant downswings. Investors and founders must have an unusually high tolerance for risk and volatility to succeed.

Initially, the market crowned OpenAI (via proxies Nvidia/Microsoft) the definitive AI leader. Now, with Google and Anthropic achieving comparable model performance, the market is re-evaluating. This volatility shows investors moving from a "one winner" thesis to a landscape where top AI models are becoming commoditized.

Unlike previous tech shifts like cloud, AI is so disruptive that it creates a viable narrative for how incumbents could either massively win or be completely displaced. This complicates investment decisions across the software sector, as both optimistic and pessimistic outcomes are highly plausible.

The AI buildout is forcing mega-cap tech companies to abandon their high-margin, asset-light models for a CapEx-heavy approach. This transition is increasingly funded by debt, not cash flow, which fundamentally alters their risk profile and valuation logic, as seen in Meta's stock drop after raising CapEx guidance.

To hedge against the risk of AI disrupting portfolios and professions, consider allocating a small percentage to long-dated call options (LEAPs) on key AI players. A basket of Microsoft, Meta, Amazon, and Google provides exposure to the core infrastructure (Azure, AWS, GCP) and leading model developers (OpenAI, Anthropic).

Each major tech company is massively investing in AI because their overconfident leaders believe they will be the sole winner in a winner-take-all market. This guarantees collective overinvestment and large write-offs for the eventual losers.

Contrary to the 'winner-takes-all' narrative, the rapid pace of innovation in AI is leading to a different outcome. As rival labs quickly match or exceed each other's model capabilities, the underlying Large Language Models (LLMs) risk becoming commodities, making it difficult for any single player to justify stratospheric valuations long-term.

Implied Volatility on Big Tech LEAPs May Be Too Low for a Winner-Take-All AI Future | RiffOn