Will AI Kill
The TPM Role?

Around 12 months ago I opened an AI tool, typed in my program status update — and it came back better than mine. In four seconds.

I sat with that for a while. Not with panic. With something closer to: okay, so what am I actually here for?

That question sent me down a rabbit hole I haven't fully climbed out of. What I found wasn't reassuring generically. It was clarifying in a specific one. The TPM role isn't dying. But a version of it — the one built around being the person who does the coordination work nobody else wants to do — that version is already on borrowed time.

Here's everything I've worked out since.

01 / What The TPM Role Looked Like Before AI

To understand what's changing, you have to understand what the role was built on. For a long time, a meaningful chunk of TPM value came from doing the coordination work nobody else wanted to do. Writing the update. Chasing the action item. Tracking the dependency. It felt normal because there was no alternative.

02 / Why AI — Why Now — Why It Matters For You Personally

The speed of this shift is what catches people off guard. AI didn't arrive like a slow tide you could plan around. It arrived like a wave — and the tech industry, which TPMs work inside, is the first place it's hitting hardest.

Your engineers are using Copilot to write code faster. Your PMs are generating PRDs in minutes. Your data teams are building dashboards that used to take weeks. Every function around you is accelerating. The question isn't whether AI will affect your role. It's whether you'll be ahead of that acceleration or behind it.

03 / Will AI Actually Kill The TPM Role?

Short answer: no. Longer answer: it depends entirely on which version of the TPM role you're talking about.

The uncomfortable truth sitting inside that table: a lot of TPM job descriptions — and a lot of how TPMs actually spend their days — still skew heavily toward the left column. That's the exposure. That's what needs to change.

04 / How TPMs Can Evolve — Using AI as Leverage, Not a Crutch

This is the part that actually matters. Not the fear — the response to it. Here's how the best TPMs are already integrating AI into their day-to- day work to deliver faster, think sharper, and operate at a level that was previously only possible with a larger team.

05 / The AI Tools Every TPM Should Know Right Now

I'm not going to give you a grid of six tools with taglines. You can Google that. Here's what I actually use and why it matters:

06 / What The Thriving AI-Era TPM Looks Like

Let me paint what this looks like in practice — not in theory.

It's Monday morning. You have a program review with your VP on Thursday. Three years ago, you'd spend Tuesday and Wednesday pulling data, writing the update, building slides, chasing teams for their status — arriving at Thursday slightly exhausted and hoping you hadn't missed anything.

Today, you spend Monday morning setting up an AI-assisted pipeline that pulls from Jira, generates the draft status, and flags the three risks that need your attention. By Monday afternoon, you already know what Thursday's narrative is. Tuesday and Wednesday? You use that time to actually fix the risks instead of just reporting them. You have the difficult stakeholder conversation before the meeting, not inside it.

That's not a fantasy. That's what the tools already make possible — if you're willing to set them up.

07/ This Is Actually the Best Career Moment To Be a TPM

I want to be honest about something. I've had AI give me a perfectly structured status update that completely missed the point of what was happening in my program. It looked right. It read well. It was wrong in the way that only someone who's been in the room would know.

That's the reminder I keep close.

1. Trust is still human. No AI builds the relationship that gets a

reluctant engineering team to trust a delivery plan. That's you, in the room, consistently showing up.

2. Judgment is still irreplaceable. AI surfaces information. You

decide which risk matters, which tradeoff to make, which stakeholder needs to hear which thing first. That judgment is yours.

3. Leadership is still earned. When a program goes sideways at 11

PM before launch, teams don't look to the AI. They look to the TPM who's been in the trenches with them. That moment is all you.

The TPM who thrives isn't the one who knows the most AI tools. It's the one who uses AI to operate at the level of thinking the role actually demands — and stops letting administrative overhead be the reason they can't get there.

08 / What You Should Do This Week

Reading this and feeling motivated is easy. Here's what actually moves the needle:

Twelve months ago, I sat staring at an AI-generated status update that was better than mine. That moment could have been threatening. Instead, it became clear.

Today, I use AI to run the reporting layer of every program I touch. The time I saved goes into the thinking work. The strategy works. The influence work. The work I actually want to be doing.

The role isn't dying. It's shedding the parts of itself that were always holding it back. What's on the other side is a version of the TPM role that's sharper, higher-leverage, and more genuinely valuable than the one that came before.

That version is available to you. The tools exist. The only question is whether you pick them up.

One thing I'm curious about: when you look at how you actually spend your week, which column are you in — the one AI is replacing, or the one it can't touch? Drop it in the comments. I read everyone.

For more on this, subscribe to Unblocked — my weekly newsletter for TPMs who lead at scale. Next in Unblocked: something I've been sitting on for a while. Worth the wait.

For 1:1 mentorship and coaching, I'm on Topmate

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Sanjukta Debnath, PMP® • 1st People-First TPM Leader | Platform, Product, & Data Strategy | Buildi…

TPMs who adapt to AI will become even more valuable, not obsolete.

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