The hype around AI often leads to two sides of the debate: some believe it's overhyped while others think it's underhyped.

Don't be discouraged by skeptics who claim AI is overhyped; historical trends show that early adoption can lead to success.

AI is experiencing a resurgence similar to past technological revolutions, and it's important not to dismiss its potential too quickly.

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 expectation versus reality of AI adoption is often skewed; while expectations are high, the actual capabilities of current models may not meet those expectations, leading to a rapid adjustment in perception as models improve.

AI is not a new concept; it has gone through cycles of booms and busts, and I believe we are now at a pivotal moment where the time for AI is finally here.

The pace of AI development is unprecedented, surpassing anything we've seen in our careers, and it feels like everything we've done over the last 30 or 40 years has led up to this moment.

The period of AI development has been long, starting around 2012-2013, but gained visibility in the last three to four years.

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.