The current AI hype cycle may resemble past speculative bubbles, but the tangible utility of AI products differentiates it from the crypto hype, where many products lacked clear value.

The legal industry is particularly suited for AI because the value of each token in legal documents is high, making the efficiency of AI applications extremely valuable. If you focus on building a specific workflow, the value can be very high, but if it doesn't sell, you're in trouble.

Using AI to summarize information can degrade a product manager's customer intuition; instead, use AI to navigate and clean data while insisting on exact quotes and direct links to original sources.

The AI revolution is tangible and addresses real problems, making it a substantial capability that can be broadly applied across various domains.

To succeed, AI companies need to understand their unit economics and how to price their services effectively based on the value they provide.

While AI's current applications may not seem groundbreaking, they are already changing things behind the scenes, particularly in developer productivity and customer support.

Companies that can quickly provide value around core workflows will have a competitive advantage in the AI space, especially in vertical markets.

While AI has been discussed for many years, its adoption outside consumer software remains limited, with most value still concentrated in areas like advertising and web search.

AI as a general-purpose technology presents numerous opportunities, and our focus should be on building concrete use cases to harness its potential effectively.