The most important conversations about AI are not happening at tech conferences. They are happening in private, over dinner, between executives who are actually implementing it.
The public conversation about artificial intelligence is dominated by extremes. On one side, the utopians who believe AI will solve every problem and create unlimited abundance. On the other, the doomsayers who believe it will destroy jobs, undermine democracy, and possibly end civilization. Both camps are loud, both camps are confident, and both camps are largely disconnected from the reality of what is actually happening in businesses right now.
The most interesting conversations about AI are not happening at tech conferences or on social media. They are happening in private, over dinner, between executives who are actually implementing AI in their organizations and grappling with the real challenges and opportunities it presents.
There is an enormous gap between the AI that gets discussed at conferences and the AI that actually gets deployed in businesses. The conference version of AI is all about large language models, autonomous agents, and the imminent arrival of artificial general intelligence. The business version of AI is about whether the chatbot can actually handle customer service inquiries without hallucinating, whether the AI-generated marketing copy is good enough to replace a junior copywriter, and whether the ROI on the AI tools the company just bought is going to justify the investment.
These are the real questions. And they are questions that can only be answered honestly by people who have actually done the work — who have deployed AI in their organizations, learned from their mistakes, and developed a realistic view of what the technology can and cannot do.
The reason that private dinner conversations about AI produce better insights than conference panels is the same reason that private conversations about anything produce better insights: people are more honest when they are not performing.
At a conference, an executive who has had a disappointing experience with an AI implementation is unlikely to say so. They do not want to look like they made a bad decision. They do not want to undermine their company's stock price. They do not want to give their competitors information about their technology strategy.
At a private dinner, with fifteen peers who are bound by the implicit norms of a private gathering, the same executive can say exactly what happened. What they tried, what did not work, what they learned, and what they are doing differently now. This kind of honest post-mortem is extraordinarily valuable — and it is only possible in a setting where people feel safe to be honest.
One of the most powerful things about the dinner format for discussing AI is the compound value of shared learning. When fifteen executives who are all implementing AI in different industries and contexts sit down together and share what they have learned, the collective intelligence in the room is extraordinary.
The healthcare executive's experience with AI-powered diagnostics informs the manufacturing executive's thinking about predictive maintenance. The marketing executive's experience with AI-generated content informs the HR executive's thinking about AI-assisted recruiting. The connections that emerge from this kind of cross-industry dialogue are the ones that produce genuine insight — the kind that no conference session or industry report could replicate.