If AI can execute your entire GTM motion, what's the actual job of a GTM team now?
I've been sitting with this question for a few weeks and I can't shake it.
If an AI agent can find the prospect, write the email, personalize it by vertical and persona, follow up three times, and log everything in the CRM - what exactly is a GTM team doing now? The easy answer everyone reaches for is "strategy." But AI can already A/B test messaging, read pipeline patterns, and shift targeting in real time. That answer gets thinner every month.
Here's where I've landed, and I'm genuinely not sure if I'm right. The job doesn't disappear, it transforms. It shifts from executing GTM to designing the logic that AI executes. Not writing the email, but deciding the rules for when an email gets written, to whom, saying what, and why. That feels like a completely different skill set. It's closer to systems design than sales.
The uncomfortable part is that most GTM people weren't hired for that and weren't trained for it. Most of the AI tools being sold to them aren't actually built to support it either. They're built to automate tasks, not to help humans encode reasoning.
So I'm curious what this room thinks. There are founders here who've rebuilt their GTM motion around AI, sales leaders trying to figure out what to tell their teams, and marketers wondering if their job description is already obsolete.
What do you think the core job of a GTM team looks like in a world where AI handles most of the execution?
Replies
You're right that it shifts to designing the logic, but I'd push it one step further. AI doesn't just execute, it optimizes, ruthlessly, toward whatever number you point it at. Tell it to lift reply rates and it will, even if it quietly torches your reputation getting there. So the job isn't only writing the rules, it's owning the gap between the metric the AI chases and the outcome you actually wanted. Someone has to be able to look at a great-looking dashboard and say this works on paper and is hurting us in real life. That's judgment, and it's far harder to hire for than execution ever was.
Pebbles Ai
@johnsongill The metric corruption problem runs deeper than most teams realize. It's not just that AI optimizes for the wrong thing. Often, the right thing is structurally unavailable to optimize against.
Reply rates and meetings booked are visible in real time. Revenue quality, retention signal, and expansion readiness lag by months. When they finally show up, they're too noisy to train on in any reliable way. So AI isn't being reckless. It's doing exactly what optimization does when you feed it the only data that's actually there.
That means the judgment gap you're describing isn't just a people problem. It's a measurement architecture problem. Even the sharpest GTM operator is still looking at the same lagging, noisy signals.
The real question is whether better real-time feedback loops on outcome quality would actually fix this. Or whether the optimization pressure itself corrupts the metric the moment it becomes a target. Goodhart's Law doesn't care how good your data is.
That reframes the hire entirely. GTM teams don't need more dashboard readers. They need people who can design measurement systems that stay honest under optimization pressure. That's a different skill set, and almost nobody is hiring for it yet.
@kuzmovych You've said it better than I did. That's the whole thing, the job isn't reading dashboards, it's building the ones that stay honest when something's trying to game them. It's a genuinely new craft, and probably one of the more interesting roles to come out of all this. Whoever learns to hire for it early is going to have a real edge.
WebCurate.co
I don't think the GTM team's job disappears.
AI can automate a lot of execution, but understanding customers, positioning the product, and building trust are still very human. AI is great at scaling a strategy, but someone still needs to decide what the right strategy is.
One thing I don't think AI will solve is distribution.
It can execute a GTM playbook incredibly well, but it can't magically give you credibility, an audience, or customers who trust you.
As execution gets commoditized, distribution and relationships become even more valuable.