While AI has been discussed for many years, its adoption outside consumer software remains limited, with most value still concentrated in areas like advertising and web search.

There are numerous smaller-scale AI projects, such as those in agriculture and food production, that require a different approach than the traditional model of hiring large teams of engineers for development.

In the AI landscape, there are numerous opportunities for startups to create applications that large companies like Google and Apple are unlikely to pursue, particularly in the B2B sector.

Many AI companies today have raised significant funds but lack revenue, making it challenging to assess their long-term viability, similar to past speculative ventures.

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.

Meta AI currently has about a billion monthly active users across its applications, and the company continues to set ambitious goals for AI usage.

The next two to three years of AI development will define the future for decades to come, making it one of the largest economic projects in history.

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.

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.