Many startups are focusing on selling tools for AI applications, but the reality is that many potential customers are still figuring out how to effectively use AI, leading to a disconnect between product offerings and actual market needs.

Finding the right market fit is as crucial as developing the right product, especially in early-stage AI projects.

The AI co-pilot concept may be premature; companies need to find a genuine product-market fit rather than just iterating on a user interface that doesn't meet real needs.

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

In the early stages, companies often fail to find product market fit, which can derail their success.

In consumer AI, it's crucial to let data guide product development, focusing on what truly meets user needs rather than just following trends.

In AI, if you can do X, users will want to do Y, which creates a challenge because you can't predict how users will interact with your product.

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.

In the AI era, things will change every day. If you wait too long, you may never be able to launch your product.