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What actually breaks through when every AI pitch sounds the sam

Most pitches in AI right now sound the same (sorry!). Data labeling, RL environments, context graphs, AI agents for Y. Each one opens with a large TAM, the slide about whose budget they’re already in, and a team from the right places. By lunch, they start blurring together.

And then one pitch changes all of your priors.

This founder spent the first forty minutes telling me his core product would be a commodity. He opened with the chart showing his EV trending to zero by month thirty-six, the part most pitches try to hide. Then he walked me through what the product actually was, which was a way to sit inside a workflow that generated data no one else could collect. He had already picked the two customers he wanted first because their data, together, would make everything else compound. Six years on the customer side of this market, drawing the path before he knew it was a map. That kind of insight often takes years to build.

The strongest pitches carry a unique insight in the tech, the market, or the GTM motion. Two of those is the bar today, three is a home run, and one just isn’t enough anymore. The bar has permanently moved. Early revenue won’t carry you through this. A $50K ARR chart in a crowded category gets pattern-matched as noise.

Secrets get earned the slow way. You go deep into the problem and keep asking why. You get to the root of how a customer actually works instead of putting a band-aid on their existing tools. And you have to LOVE the customer. If you’re selling sales software, you’d better enjoy spending time with sales people. Call it obsession. The founders who uncover these secrets have their customers on speed dial.

But you don’t have to come from the industry to find one. Some of the best founders I’ve backed are generalists who picked a problem and studied it harder than the people inside it. They show up with an analogy nobody else in the room had made: the way SaaS unbundled enterprise software in the 2010s, or how the cloud transition reshaped database vendors. Reading history was their secret. They earned it by going deep on one industry and recognizing it was about to replay in another.

In this era of sameness, narrative matters far more than it used to. You can hear when a founder has been deeper than they’re letting on. Faked secrets fall apart inside four follow-up questions. You can hear the script underneath. Your viral launch video won’t save you there. The real ones get weirder and more specific the deeper you push. The best ones paint trillion-dollar visions and walk you through the exact steps to get there. You really can’t shortcut your way to it.

The best pitches don’t end when the meeting does. They have you thinking about it at dinner with your family, still working out why his second customer mattered more than his first and how those two together create the network effect.

Before your next pitch, remember: stories create the frame. Logic fills in the colors.

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PS: If the title seems familiar, it is. I wrote a worse version of this two years ago. This is advice I keep giving founders, so I figured it deserved a real update for where the market is now.