AI apps – or regular apps that integrate AI – seem to be a roadmap priority for most players in tech & media spheres. But are they chasing buzz rather than substance? Is AI a value add? Of course, the answer depends on the app, but in the aggregate, AI can increase user churn according to a new study.
RevenueCat’s 2026 State of Subscription Apps Report claims that churn rates for paid AI apps are actually 30 percent greater than non-AI apps. RevenueCat is a subscription management platform is used by 75,000+ app developers, so it bases its findings on its installed base – a meaningful sample size.
Breaking it down further, annual retention is 21.1 percent for AI, versus 30.7 percent for non-AI apps. A similar delta is seen for apps that have monthly recurring payment cycles. These saw 6.1 percent retention rates versus 9.5 percent for non-AI apps. AI apps also have 20 percent higher refund rates.
Where’s the Ceiling?
Beyond retention performance for apps, the RevenueCat report revealed another surprising tidbit: most apps haven’t even integrated AI. Specifically, apps that feature AI in some way only comprise 27.1 percent of all apps. These figures are again based on RevenueCat’s representative sample.
Based on all the AI buzz, one would think that the share of apps that have integrated AI is greater than 27 percent. But RevenueCat’s figure demonstrates that AI still has ample headroom to penetrate the appsphere. The question is where the ceiling ends up being… if not 100 percent coverage.
As for further breakdowns and categorizations, Photo & Video apps have the greatest share of AI-powered apps at 64.1 percent. That’s followed by gaming (6.2 percent) and travel (12.3 percent). These rankings stand to reason, such as generative AI’s applicability to photo & video apps.
Speaking of standing to reason, most of the results from the RevenueCat report are surprising at first, but then start to make sense upon further thought. For example, high churn and return rates for AI powered apps could be due to the technology’s early-stage stumbles and buzz-driven integrations that were rushed.
See What Fits
Another possible read on these figures is that users have been frenetic in their early-stage consumption. In other words, as they attempt to wrap their arms around AI and how it fits in their lives, they may be trying on several apps to see what fits. Add the sudden deluge of AI apps… and you get lots of churn.
But it’s not all bad news. AI outperform non-AI apps in a few ways, including converting users from free trials to paid users, to the tune of 8.5 percent versus 5.6 percent. One takeaway when looking at all these data points together is that AI-based apps have short-term strengths but long-term sustainability issues.
Regardless of these dynamics, the question is where do things go from here? If AI’s underperformance in retaining users is due to early-stage issues, it means things will only get better. AI could find its footing as it becomes more stable, and as app developers have more time to devise thoughtful integrations.
Header image credit: Solen Feyissa on Unsplash
