Unlike past platform shifts that caught many off-guard, the AI wave is universally anticipated. This 'consensus innovation' intensifies all existing competitive pressures, as every investor—from mega-funds to accelerators—is aggressively pursuing the same perceived opportunities, pushing factors like Power Law belief to an extreme.

The venture market has shifted from seeking contrarian bets to piling capital into consensus winners, even at extreme valuations. The new logic resembles the old adage "you can't get fired for buying IBM," where investing in a perceived leader with a 1x preference is deemed a safer, more defensible capital allocation decision.

During a fundamental technology shift like the current AI wave, traditional market size analysis is pointless because new markets and behaviors are being created. Investors should de-emphasize TAM and instead bet on founders who have a clear, convicted vision for how the world will change.

When a new technology stack like AI emerges, the infrastructure layer (chips, networking) inflects first and has the most identifiable winners. Sacerdote argues the application and model layers are riskier and less predictable, similar to the early, chaotic days of internet search engines before Google's dominance.

With so much flux from AI, betting on undervalued "bargains" is a losing game. The smarter play is to be a momentum investor, buying stocks that are already winning. Their success creates a flywheel of talent and opportunity that is more predictive of future success than traditional valuation metrics.

AI should be viewed not as a new technological wave, but as the final, mature stage of the 60-year computer revolution. This reframes investment strategy away from betting on a new paradigm and towards finding incumbents who can leverage the mature technology, much like containerization capped the mass production era.

AI represents a fundamental technological shift, akin to the industrial revolution. Unlike fads like NFTs, companies that are overly cautious and fail to adopt AI now risk being permanently left behind as the technology advances exponentially.

Drawing a parallel to the early internet, where initial market-anointed winners like Ask Jeeves failed, the current AI boom presents a similar risk. A more prudent strategy is to invest in companies across various sectors that are effectively adopting AI to enhance productivity, as this is where widespread, long-term value will be created.

Conventional venture capital wisdom of 'winner-take-all' may not apply to AI applications. The market is expanding so rapidly that it can sustain multiple, fast-growing, highly valuable companies, each capturing a significant niche. For VCs, this means huge returns don't necessarily require backing a monopoly.