The current mass-adoption phase for AI tools means buying decisions that would normally take 5-7 years are being compressed into 1-2 years. Startups that don't secure customers now risk being shut out, as enterprises will lock in with their chosen vendors for the subsequent half-decade.

Early tech giants like Google and AWS built monopolies because their potential wasn't widely understood, allowing them to grow without intense competition. In contrast, because everyone knows AI will be massive, the resulting competition and capital influx make it difficult for any single player to establish a monopoly.

The current AI market is like hot, moving fat in a skillet—fluid and competitive. The key strategic question is predicting when "the heat comes off and then everything's fixed." This "congealing" moment will lock in market leaders and make disruption much harder, marking the end of the wild early phase.

The narrative of one AI tool 'killing' another is misleading. The rapid, concurrent growth of both Cursor and Claude Code demonstrates that the entire market for AI-native development tools is expanding. The dynamic is not about market share cannibalization but about capturing new, growing demand.

For AI companies experiencing explosive growth like Harvey (tripling ARR in a year), traditional TAM analysis is an obstacle, not a tool. Such growth signals the company is capturing a new budget pool (e.g., labor costs) that dwarfs the existing software market. In these cases, the revenue trajectory itself becomes the best indicator of the true TAM.

In emerging markets that are clearly large and untapped, like AI visibility, the competitive advantage doesn't come from a secret idea. Instead, the prize goes to the team that executes with the most aggression and speed, rapidly capturing market share before it becomes saturated.

Ben Thompson's analysis suggests the era of siloed SaaS growth is over. With AI enabling infinite software creation, companies will be forced to attack adjacent business functions to grow. This shifts the market from collaborative expansion to a competitive battle for existing customer spend, with AI model providers as the key "arms dealers."

The current oligopolistic 'Cournot' state of AI labs will eventually shift to 'Bertrand' competition, where labs compete more on price. This happens once the frontier commoditizes and models become 'good enough,' leading to a market structure similar to today's cloud providers like AWS and GCP.

In a new, explosive market like AI, the initial phase is a 'land grab' focused on acquiring any and all users. As the market matures and competition intensifies, the strategy must shift to 'oil drilling'—identifying and focusing on specific, high-value customer segments where you have a unique advantage.