was reading through revenueCat’s 2026 subscription report this week. they track 115,000+ apps and $16B in revenue so this isn’t a small sample. the AI revenue numbers look impressive at first. $30.16 per paying user after 12 months vs $21.37 for non-AI apps. conversion rates are higher too. on paper, AI is winning. then you look at retention. only 21.1% of AI app subscribers on annual plans are still there after 12 months. non-AI apps sit at 30.7%. monthly plans are worse: 6.1% vs 9.5%. refund rates higher too. and here’s the part that actually stuck with me: 55% of people who cancel a 3-day trial do it on day 0. not day 1 or 2. the same day they started. so what’s happening? AI gets people to the paywall faster because first impressions are genuinely impressive. but the product can’t hold them past that first session. novelty peaks immediately, then there’s nothing pulling the user back. the interesting pattern here isn’t really about apps though. it’s about what kind of problems AI actually solves well right now. consumer AI apps are competing for attention in a context where the user has zero switching cost and zero obligation. they come in hot, get bored, leave. but when you put AI into a workflow that a business depends on , like answering phones, qualifying leads, dispatching jobs, the dynamic flips completely. the business isn’t trying it for fun. they have a real problem. if the AI handles 200 calls a month they don’t have to staff for, they’re not cancelling because the novelty wore off. that’s probably why vertical AI tools and agentic systems are holding subscribers at rates that consumer AI apps can’t touch. the use case has a cost if you stop using it. anyway, the report is worth a read if you work in this space. pages 164-168 for the AI breakdown, 61 for trial cancellations. what stood out to you if you’ve seen it? submitted by /u/Creative_script
Originally posted by u/Creative_script on r/ArtificialInteligence