Many pitches at this event used AI as a buzzword rather than demonstrating its practical application.

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.

AI tools are improving, but they still require clear instructions and descriptions of tasks. The ability to articulate what AI should do remains crucial.

Many organizations want to learn how to work with AI to transform their business, but they often lack the basic language and understanding of how to collaborate effectively with AI.

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.

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

AI is often described as a black box, where inputs lead to outputs, but the reasoning behind its responses remains unclear.

There's a distinction between using AI effectively to enhance products and merely claiming to use AI to attract investment without real benefits to customers.