To evaluate whether a company is maximizing AI's potential, it's essential to assess if the AI is genuinely enhancing productivity and creativity.

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.

I'm skeptical of companies that suddenly declare themselves as AI companies; the focus should be on integrating useful AI capabilities rather than just adopting a chat interface.

AI companies need to articulate what's in it for the user and make a remarkable promise that they can keep, as AI will soon be seen as a standard feature rather than a unique selling point.

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 AI hype cycle is not about AI having zero value; it's about the reaction to fluctuating prices and the sustainability of current investments in AI.

The rapid advancements in AI technology are leading to a divergence in strategies among companies, with some focusing on self-improving AI while others prioritize consumer-oriented products.

Ultimately, success in AI relies on the ability to effectively stitch together existing models into products that users genuinely love, rather than reinventing the wheel.

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