One question that keeps coming up in coaching circles, product Slack groups, and leadership meetings is this:

Is product management being redefined in the age of AI, or just repackaged?

In this episode of Intelligent Products, I sat down with Annu Augustine, a seasoned product leader and coach, to unpack the real impact AI is having on product management.

And the conversation was deep. Honest. Grounded. It went far beyond tools and trends.

🎙 What We Talked About

Annu brings over 20 years of experience across software engineering, product leadership, and organizational coaching. She’s also the founder of NedRock, where she works with startups and enterprises across Africa and beyond to help product teams shift from backlog-driven delivery to empowered, outcome-led product thinking.

In our conversation, we explored:

* How AI is changing the role of PMs, from tasks to team dynamics

* The shift from feature teams to empowered teams (and why it’s hard)

* The difference between discovery and delivery in an AI-driven world

* Why judgment, product sense, and strategy are becoming core differentiators

* How to coach product managers in uncertain, fast-moving environments

💡 What You’ll Learn

This episode isn’t about AI hype. It’s about the real shifts PMs are facing, and how to navigate them.

* Why staying “relevant” as a PM today is about mastering discovery and outcomes, not just execution

* How to build a strategic moat through insight, context, and customer empathy

* The specific metrics and leadership habits that matter in AI-era product work

* The human side of product coaching: trust, context, and influence

Whether you’re a product manager, team lead, or startup founder, this conversation offers practical clarity and coaching wisdom for today’s challenges.

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✨ Favorite Insight

“Don’t outsource your thinking to the model. Use AI to amplify your strategy, but never substitute your judgment.”

— Annu Augustine

My 5 Lessons from this Conversation with Annu Augustine

What does it really mean to be a product manager in the age of AI?

This isn’t a hypothetical question anymore. The tools are here. The expectations are shifting. The bottlenecks inside product teams have moved. And if you’re a PM, the role you thought you signed up for may not be the role you’re practicing today.

These are my takeaways from that conversation, what resonated, what challenged me, and what I think every product leader should be thinking about right now.

1. Product Management Isn’t Disappearing, But the Work is Shifting

One of the first questions I asked Annu was whether product management is being redefined in the AI era, or if it’s just being repackaged. Her answer was clear: the fundamentals of the role, delivering value to users and ensuring viability for the business, haven’t changed.

What has changed is where product managers spend their time.

Tasks that used to eat up 70% of a PM’s calendar, backlog grooming, requirement writing, documentation, are increasingly handled by AI tools. And if not today, they will be soon. That means the “delivery” side of product management is getting automated.

The shift? PMs now have more time, and more pressure, to lean into discovery and strategy.

This resonated with me because it matches what I see across teams: the job isn’t shrinking, but the value curve is moving.

2. Discovery is the New Frontier

Annu made a strong case: if you’re a PM today, your moat isn’t in delivery. It’s in discovery.

That means deeply understanding your customers, running interviews, framing problems, and synthesizing insights. AI can summarize transcripts, spot patterns, and generate prototypes in seconds, but it can’t build empathy, spot nuance in a customer’s body language, or connect cultural context to business needs.

This hit home for me. We talk a lot about “AI-powered discovery,” but the truth is that discovery is still profoundly human. AI is the accelerant, not the substitute.

3. The Rise of Empowered Teams

Another powerful insight was Annu’s distinction between feature teams and empowered teams.

In many organizations, especially larger enterprises, product managers are still trapped in the cycle of delivering features. AI makes this even riskier because it can speed up delivery without improving outcomes. If all you measure is velocity, AI will happily give you more of it.

But what does that achieve if the features don’t solve real problems?

Annu’s coaching work is focused on helping teams make the shift toward outcome-driven work. That means aligning around metrics, OKRs, and real customer outcomes rather than the number of stories shipped. It sounds simple. In practice, it requires patience, coaching, and often cultural change.

And in an AI-first world, empowered teams aren’t just an ideal, they’re a necessity.

4. Judgment and Context Are the Real Moats

A theme that kept coming back in our conversation was judgment.

AI can accelerate work. It can generate research, requirements, designs, even code. But it can’t (yet) tell you which insight matters, which customer signal is most meaningful, or which tradeoff aligns with your company’s strategy.

That’s where human product managers shine.

But judgment isn’t just intuition. It’s built through context, deep knowledge of your customers, markets, and environment. Annu warned that too many PMs are outsourcing their thinking to the model. That’s dangerous. The best PMs will use AI as a partner, but never a replacement for their own judgment.

For me, this reinforced a simple truth: the real moat for PMs isn’t speed. It’s context.

5. Leadership is About Confidence in Uncertainty

Finally, the most human part of our conversation: leadership.

Annu works with teams across Africa, especially in South Africa where adoption patterns are different from Silicon Valley. Startups experiment faster. Larger enterprises move slower. Across all contexts, though, she sees a common thread: concerns.

Teams are worried about what AI means for their jobs, their roles, their future.

And this is where product leaders step in. The job now is not just to guide the backlog, but to build confidence in uncertainty. To coach teams toward adaptability. To model curiosity. To stay grounded in ethics and judgment while embracing new tools.

As Annu put it: “Don’t sit still in fear. Experiment. Stay open. Stay adaptable.”

That’s not just advice for PMs. That’s advice for anyone navigating this new wave.

Closing Reflection

This conversation left me with both clarity and challenge.

Clarity that product management isn’t going away, it’s evolving.

Challenge because the bar is rising and rising quickly.

If you’re a PM or product leader today, your moat isn’t in writing requirements or managing a backlog. AI will handle that. Your moat is in discovery, strategy, judgment, and leadership.

And that makes me optimistic. Because while AI may change the tools we use, it also opens up space for us to focus on the skills that are timeless: empathy, strategy, and the ability to connect human problems with technological solutions.

That’s the real impact of AI on product management.

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