The challenge in AI is that while the underlying technology is evolving rapidly, it complicates product development because you have to predict where the tech will be in a year.

In the future, as AI tools proliferate, the obsession with creating excellent products will still require a human touch, as programming an AI to have that level of dedication is a significant challenge.

As AI capabilities grow, product teams can still add significant value by focusing on user experience, ethical considerations, and strategic direction.

Every human will become a product manager overseeing a team of AIs, making it crucial to plan for this future.

Cognition's team emphasizes the importance of building a product that not only meets current needs but also anticipates future demands in AI.

To navigate the fast-evolving AI landscape, startups should think from first principles about what the market will need in the long term, rather than just focusing on immediate needs.

Long-term defensibility in AI requires continuous innovation and improvement, as the market is dynamic and competitive, making it essential to build the best product.

Building AI products that can perform tasks traditionally done by humans, like customer support or sales, is challenging but essential for winning large enterprise contracts.

AI will radically speed up product development, and product managers and engineers should master three critical skills: coding, math, and eloquence.