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.

Hunt argues that once a narrative is widely known, the risk/reward profile changes dramatically. The real alpha is generated by identifying a variant perspective early and riding the wave as it becomes consensus. This "discovery phase" is where the most money is made.

The most opportune moment to focus on a new technology is when it is dynamic, exciting, and poorly understood. The point at which it becomes mainstream and easily explainable is often the signal that the period of exponential change is over, and it's time to shift attention to the next frontier.

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.

For breakthrough technologies like AI and quantum, traditional valuation is less important initially. Investors must buy into the narrative, long-term potential, and quality of the management team, much like early-stage seed investing. Near-term earnings are secondary to the transformative vision.

The signal to launch a venture is not just identifying a trend, but possessing an "earlier view" of its trajectory than the rest of the world. This unique perspective, born from specific experience, is the true competitive advantage, especially in a rapidly accelerating field like AI.

Unlike SaaS, deep tech companies have a unique valuation trajectory: a sharp seed-to-Series A increase, a long plateau during R&D, and then massive step-ups post-production. This requires a bimodal investment strategy focusing on early stage and the final private round before inflection.

The ideal period for venture investment—after a company is known but before its success becomes obvious—has compressed drastically. VCs are now forced to choose between investing in acute uncertainty or paying massive, near-public valuations.

In a market where everyone agrees AI is the future, being a contrarian no longer means betting against it. Instead, the real edge comes from believing in the trend more intensely than others and identifying nuanced, under-appreciated sub-domains like productivity enhancement or the moats created by elite talent.