Many potential AI projects exist, but outside of consumer software, few have the scale to apply a single piece of software to a billion users, making it challenging to generate similar financial value.

AI is somewhat mainstream now, but many people still think of it only as a chatbot and haven't grasped what's coming next.

Consumer activity typically lags behind research developments by six to twelve months, indicating that we are still in the early stages of AI adoption.

Despite the challenges, there is still a market for AI applications, particularly in enterprise settings, even if the anticipated breakthroughs do not materialize in the near future.

While AI's current applications may not seem groundbreaking, they are already changing things behind the scenes, particularly in developer productivity and customer support.

There's a lot of excitement around AI agents, but many people are unsure of their practical applications, often trying to apply them to problems that simpler solutions could address.

The integration of AI into various applications is still evolving, with many companies struggling to effectively implement AI features despite having the technology available.

In the early days, AI was considered a dirty word and often used as a buzzword, but now it's fashionable again, though its popularity may fluctuate over time.

Many startups are still unaware of the transformative potential of AI, with only a few exploring its capabilities deeply within their organizations.