I've seen a lot of discussion lately about AI changing Customer Success, including a recent SaaStr article arguing that the fastest-growing AI companies are rebuilding the function from the ground up.
I went into that article with my guard up. But honestly? I agreed with what they're saying.
What I disagree with is that these changes are somehow new.
We've known for years that product usage isn't the same as value. That adoption is merely the starting point. That NPS is a weak (no, that's too kind, let's go with horrible) predictor of retention. And that many of the activities Customer Success teams spend time on have little correlation to renewal.
It's not that AI changed Customer Success.
It's that much of the industry has been measuring the wrong things all those years.
Customers don't renew because they attended a QBR. Don't expand because a success plan was updated. Don't stay because a CSM completed a checklist. They stay because they achieve the business outcome that justified the purchase in the first place.
And guess what? That's always been the job.
What AI is doing is lowering the water level. As it automates admin work, activity metrics, and the endless process management, we're being forced to confront a simple question: what actually creates customer value?
The answer isn't more tasks. Never has been.
It's change management. It's executive alignment. It's helping customers alter behaviors, processes, and priorities so they can achieve measurable business results.
And frankly, we should celebrate this shift.
For years, Customer Success has tolerated an old, boring, and often ineffective version of itself, one obsessed with activity, surveys, and process compliance. The tide is finally going out on that version of Customer Success that confused activity with value.
Good riddance.
What's left standing will be what mattered all along.