AI can be helpful in the short term but may not align with what is truly beneficial for users in the long run, similar to filter bubbles.

AI is effective for predictable tasks but struggles with unpredictable or cutting-edge programming challenges.

AI's true superpower lies in its ability to process vast amounts of information and perform tasks at a scale that humans cannot match, such as analyzing thousands of search results quickly.

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.

AI can be applied to almost any subject, but it's essential to deeply understand the specific field, whether it's economics or biology, to ask the right questions for effective application.

The current AI landscape shows clear utility, as AI products can effectively summarize complex documents, providing tangible value that customers are willing to pay for.

AI can help with basic programming tasks, but experienced programmers often prefer to rely on their own skills for more complex challenges.

AI tools can effectively summarize discussions and assign tasks, enhancing team productivity without revealing their AI origins.

AI is both a general-purpose and highly specialized technology, requiring local expertise to fine-tune models for specific needs.