What a free tier costs when every user burns inference
For an AI product, the free tier is an acquisition budget spent automatically — every free request carries real inference cost. The question is never whether to spend it, but what the spend buys.
Traditional software free tiers cost almost nothing to scale. AI models burn real money with every request.
Run your own number
You don't need an industry benchmark; you need three figures you already have. Take your cost per request (inference plus whatever your pipeline adds), multiply by the requests an active free user makes in a month, multiply by your free-user count. That is your monthly acquisition spend — committed, recurring, and rising with every signup. Most teams have never written it down as a marketing line item, which is the whole problem: it is one.
Why AI broke the old freemium math
Freemium was rational when marginal cost per user was close to zero: storage and bandwidth rounded away, so a million silent free users cost roughly nothing and occasionally converted. Inference removed the rounding. An AI product pays per request, on every request, for every user — the free tier now has a metered bill attached, and "they might convert someday" has to cover it.
What the spend buys today
Under a classic free tier: silence. Free users arrive, consume, and tell no one — the funnel only widens if you pay again, elsewhere, to drive traffic into it. The spend is real; the return is a conversion hope. The side-by-side with freemium walks the dimensions.
And the full accounting is worse than the average, because free cost is not evenly distributed. Self-serve products report roughly ten times more attempted abuse than enterprise ones, and one payments provider's data put suspected multi-account signups at 7.4% of AI-product signups (vendor data, March 2026) — the heaviest free usage skews toward exactly the users who will never convert. The abuse page carries the numbers and their sources.
Making the same spend buy exposure
An earned tier doesn't cut the budget — it names the purchase. Keep a small baseline, and price the expansion in public participation: a user who wants more posts about the product, disclosed and verified, and the product grants the credits. The serving cost is the cost you were already paying; what changes is that every grant now has a public post attached, seen by the poster's own network — people who tend to do similar work and have similar problems. The spend stops buying silence.
It also re-prices the abuse. Earning requires one social account, publicly attached to every grant — a colder environment for a signup farm than an anonymous email form, and a cost the farmer pays that a real user doesn't.