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

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

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.

Many people underestimate the magnitude of custom AI applications that are going to emerge in the near future.

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.

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.

The future of AI in the enterprise will involve helping companies navigate the complexities of AI to leverage its benefits effectively.

The range of applications for AI technology is now limited more by imagination than by technology, leading to a surge of new startups and innovations.

As AI technology matures, enterprises are increasingly willing to trust these systems with their data, leading to a greater adoption of AI solutions.