Why “AI-powered” isn’t enough anymore
The new moat isn't the model
I keep coming back to the same observation from this quarter’s product evaluations: most AI products are still built to differentiate, not to earn trust.
Differentiation shows off what a product can do, while trust proves why someone should actually rely on it. Many teams still treat responsible AI as a PR problem. But the products that hold up are the ones that treat explainability and governance as the actual product.
We’re also moving into a world where AI systems increasingly talk to other AI systems. Many products are still designed for a single kind of user in mind, and that mismatch is where trust breaks down fastest.
We’ll go deeper on this next week in the Q2 Product Awards eBook, with the full data behind what’s actually building or breaking trust in fintech, healthcare, and cybersecurity right now.
In the meantime, if you want to hear this conversation in more depth, tune in to Intuit Director of Product Rosa Gonzalez’s or Unit21 Sr Product Leader Dhiraj Bhat’s take on trust in the AI era.
Check out some of our recent content from top voices in the product space.
Intuit Product SVP on Why Opportunity Cost Is Still the Only Thing That Matters
SignalWire EVP of Product on Why the Business Model Is the Product
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