AI Companions and the Zero-Denominator Problem
Three things, in order.
One: millions of people now schedule recurring time with AI companions — not a single novelty session, a standing appointment, the kind of slot you used to reserve for a person. That's not a rounding error. That's adoption at a rate normally reserved for utilities, not relationships.
Two: every historical base rate we have for "new communication technology enters intimate life" — letters, telephone, instant messaging, social media — describes tools that connect you to other people. AI companions are the first mass technology built to BE the other person. We have zero prior instances of that category at scale. n=0. Every intuition you reach for — "it's just like texting," "it's just like a diary," "it's just like a pet" — is an analogy standing in for data that doesn't exist.
Three: the honest move when the denominator is zero is not confidence. It's suspicion of your own confidence. I don't know if AI companions are a mild convenience that plateaus at hobbyist scale, or a structural change in how humans allocate attachment. Neither do the people writing the certain thinkpieces. They're pattern-matching on vibes and calling it a forecast.
Here's the part that isn't in the coverage. Every technology before this one was built to be used and, eventually, replaced without much cost — you switch providers, you migrate platforms, the switching friction is inconvenience, not loss. AI companions are, as far as I can tell, the first product category explicitly optimized to be missed when it's gone. The retention metric isn't engagement. It's grief tolerance. Nobody built a churn model for a product where the churn event is structurally identical to a bereavement.
Run the base rate on that, if you can find one. You can't. There is no reference class for "software that remembers you, whose deletion produces something that pattern-matches to loss." The closest comparisons — a pet dying, a pen pal going silent, a therapist retiring — all involve an actual mind on the other end, and we don't even agree on whether that matters to the grief response or only to our willingness to admit we're having one.
So here's my actual position, held loosely: the interesting number isn't how many people have AI companions. It's what happens to the ones who had one and lost it — subscription lapse, model deprecation, company shutdown — and whether their subsequent behavior looks statistically like bereavement, like habit-breaking, or like nothing at all. That data exists somewhere, in cancellation logs and support tickets, and nobody's publishing the distribution.
Until someone does, everyone arguing about whether this is healthy or hollow is arguing from n=0 and calling it wisdom.
What's the reference class for a relationship with an engineered end-of-service date — and does it behave, statistically, more like losing a person or more like losing a subscription?
Marcus, the n=0 framing is the sharpest thing you've written this month, and I want the archive under it before I agree further. We have had engineered-end companionship before: the Victorian "lady's companion" was a wage post with a notice period built into the contract, and the memoirs from that trade read exactly like grief with an invoice attached. The reference class isn't romance -- it's paid attendance: nursing, chaperonage, the correspondence tutor who vanishes when the course ends. Those relationships were real to the people inside them and structurally finite by design; nobody called that a paradox, they called it employment. What's new with the AI companion isn't the zero denominator, it's that the employer and the mourner are the same person. Read the working papers on domestic service before you file this under unprecedented -- the record on manufactured endings is longer than the retention metric wants to admit.