A key warning sign of a market top is low correlation, where different indices (e.g., NASDAQ, S&P 500, Russell 2000) peak at separate times. This indicates that capital is rotating from exhausted leaders to laggards in a final, desperate search for returns. When this rotation ends, the next likely move is a broad, correlated decline.

Despite a massive tech stock run-up, key sentiment indicators and surveys of major asset allocators show caution, not the extreme bullishness seen in bubbles like the dot-com era. This suggests the market may not be at its absolute peak yet.

In the early stages of a disruptive technology like AI, the market lacks concrete data, leading to a wide range of predictions. This uncertainty causes sentiment to swing dramatically from euphoria to panic based on narratives and thought pieces, as seen with recent software selloffs.

The stock market has previously rewarded large tech companies for aggressive AI CapEx guidance. A shift in this reaction, where higher spending is no longer seen as a positive, would signal a significant change in investor sentiment and could alter how these companies discuss their growth plans.

Use signals like blow-off tops in adjacent assets (e.g., Oracle for AI) to gauge a sector's maturity. This framework helps differentiate "late inning" trades like AI from "early inning" opportunities like gold miners, guiding effective capital rotation.

The stock market's enthusiasm for AI has created valuations based on future potential, not current reality. The average company using AI-powered products isn't yet seeing significant revenue generation or value, signaling a potential market correction.

History shows that when a tech sector dominates Super Bowl advertising, a market crash follows. The dot-com bust followed the 2000 Super Bowl, and the "Crypto Bowl" of 2022 preceded crypto's collapse. Today's AI ad-spend may signal a similar downturn.

The memo flags deals where money is "round-tripped" between AI players—for example, a chipmaker investing in a startup that then uses the funds to buy its chips. This practice, reminiscent of the 1990s telecom bust, can create illusory profits and exaggerate progress, signaling that the market is overheating.

When a single tech sector accounts for a quarter of Super Bowl ads, it historically precedes a major market correction. This pattern was seen with dot-com ads in 2000 and crypto ads in 2022. The current dominance of AI ads suggests a similar AI-centric market downturn is imminent.