When a company's valuation is based on profits projected decades into the future, it reaches a critical point. Investors eventually stop buying into even more distant projections, causing a stall as they wait for reality to catch up or sell to others who still believe.

With the S&P 500's Price-to-Earnings ratio near 28 (almost double the historic average) and the Shiller P/E near 40, the stock market is priced for perfection. These high valuation levels have historically only been seen right before major market corrections, suggesting a very thin safety net for investors.

The US economy is not broadly strong; its perceived strength is almost entirely driven by a massive, concentrated bet on AI. This singular focus props up markets and growth metrics, but it conceals widespread weakness in other sectors, creating a high-stakes, fragile economic situation.

Despite the best earnings season in four years for companies like Apple and Amazon, consumer brands like Chipotle, Shake Shack, and Crocs report slowing sales from 20-somethings. This demographic faces soaring unemployment and slowing wage growth, creating a hidden weak spot in an otherwise strong economy.

Current market multiples appear rich compared to history, but this view may be shortsighted. The long-term earnings potential unleashed by AI, combined with a higher-quality market composition, could make today's valuations seem artificially high ahead of a major earnings inflection.

Companies like Tesla and Oracle achieve massive valuations not through profits, but by capturing the dominant market story, such as becoming an "AI company." Investors should analyze a company's ability to create and own the next compelling narrative.

Investors often invent compelling secular narratives—like a permanent housing shortage or "Zoomers don't drink"—to justify recent price movements. In reality, these stories are frequently post-hoc rationalizations for normal cyclical fluctuations. The narrative typically follows the price, not the other way around, leading to flawed trend extrapolation.

Anchoring valuation on a company's typical price-to-sales ratio helps identify buying opportunities when margins are temporarily depressed. This avoids the pitfalls of methods like the Magic Formula, which can mistakenly favor companies at their cyclical earnings peaks, leading to underperformance.

In a late-stage bubble, investor expectations are so high that even flawless financial results, like Nvidia's record-breaking revenue, fail to boost the stock price. This disconnect signals that market sentiment is saturated and fragile, responding more to narrative than fundamentals.