For the past 20 years, Teresa Torres has championed the cause of product discovery. We’ve made progress, she says, but there are plenty of companies and teams out there who don’t know much about their customers – and still think they have all the answers. Is AI exacerbating the problem?

In this episode, Teresa returns to Product Momentum taking us on a rollercoaster ride that begins in a pre-ChatGPT world full of hopeful optimism in which product leaders were (slowly, steadily) recognizing the value good Discovery brings – but then spirals through phases of grief as AI-powered Delivery seems to have reclaimed our attention.

As you’ll hear, Teresa remains bullish on AI. But she’s also concerned that AI is pulling us in the wrong direction, making it easier and faster to build and, thus, putting even more emphasis on Delivery. Ever the optimist, Teresa believes that product builders can use the same technology that created today’s predicament to help us course-correct, refocusing our attention on high-quality Discovery practices.

Here’s a few of our key takeaways:

AI Might Be Helping Us Build the Wrong Thing

In our earlier episode with Teresa (58 / Innovate with Product Discovery, published shortly before the release her Continuous Discovery Habits, a must read for anyone in the software space), Teresa talked about how the product community under-emphasized Discovery and over-emphasized Delivery. It was a time highlighted by a gnawing anxiety that we were building the wrong stuff. Since then, the trend was moving back toward a focus on Discovery, Teresa says, until AI changed the trajectory again.

“AI is making it easier and faster to build software,” Teresa says. “But as we do, we’re once again putting even more emphasis on Delivery and forgetting to ask whether we’re building the right thing?”

AI’s Double-Edged Sword: Broad Participation vs. Product Coherence

Teams across the organization are now contributing to software development – a positive trend that Teresa calls awesome.

“We want to empower product teams and draw people closer to the customer to impact the product in positive ways,” Teresa says. “But it’s equally terrifying: who’s creating product coherence, and how do we make sure [each team] is serving the market and not their own specific needs?”

The Opportunity Solution Tree: A Structure Of Discovery That Doesn’t Change

With the Opportunity Solution Tree, Teresa provides teams with “a simple underlying structure that gives us a mental representation” of the interaction between what success looks like (outcome), our customers and their needs (opportunity space), and impact on our customers and our business.

“Do I think that’s ever gonna change?,” Teresa asks. “I don’t. We’re always gonna have to create value for our business. We’re always going to have to create value for our customers. Hopefully, we are doing one thing to accomplish both – not doing competing things.”

As AI enables more people to be makers, teams and organizations will learn new skills and allow everyone who wants, to contribute while still delivering a coherent product that serves their users.

“I actually think that’s gonna be net positive in the long run,” Teresa concludes.

You can catch even more of Teresa’s insights by checking out her podcast, Just Now Possible, which releases new episodes every Thursday. And, beginning this month (Jan. 2026), Teresa and Product Talk are launching a new course called, Business Fundamentals.

The post 179 / Teresa Torres: Is AI Re-Prioritizing Delivery Over Discovery (Again)? appeared first on ITX Corp..

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