According to RevenueCat’s 2026 State of Subscription Apps report, artificial intelligence-powered applications have good initial monetization, but struggle to retain users over the long term.
This report examines the subscription app ecosystem across iOS, Android, and web platforms and finds that integrating AI into apps does not necessarily guarantee long-term subscriber retention. The study found that users cancel annual subscriptions for AI-powered apps approximately 30% faster than for non-AI apps, a metric known as churn.
RevenueCat, which provides subscription management tools used by more than 75,000 app developers, announced findings based on data from more than 1 billion in-app transactions managed through its platform. These deals generate more than $11 billion in annual revenue for developers, making this dataset an important sample for analyzing broader industry trends.
Most apps using the company’s platform still don’t leverage artificial intelligence, according to the report. AI-enabled apps account for 27.1% of applications across categories, compared to 72.9% of apps that don’t use AI. But the field is rapidly expanding, with roughly a quarter of apps now incorporating AI capabilities.
Among categories, photo and video apps have the highest share of AI-powered products at 61.4%. Games had the lowest adoption rate at 6.2 percent, while travel and business apps also showed relatively limited integration, with shares of 12.3 percent and 19.1 percent, respectively.
The report highlighted low retention rates for AI-powered apps across monthly and annual subscription cycles. The annual retention rate, which measures the percentage of subscribers retained after 12 months, was 21.1 percent for AI apps, compared to 30.7 percent for non-AI apps. On a monthly basis, AI apps had an average retention rate of 6.1%, compared to 9.5% for non-AI apps.
AI apps performed better only in weekly retention rates, recording a rate of 2.5% compared to 1.7% for non-AI apps. However, weekly subscriptions are not widely used in most AI-powered applications.
The study suggests that rapid developments in artificial intelligence technology may be contributing to this trend, as users frequently try different tools and switch between competing apps to access the latest features.
The analysis also found that AI apps recorded higher refund rates. The median refund rate for AI apps was 4.2%, compared to 3.5% for non-AI apps, an increase of approximately 20%. The cap on refund rates is also higher at 15.6 percent for AI apps compared to 12.5 percent for non-AI apps, indicating greater variability in realized revenue and potential issues related to user value and long-term product quality.
Despite lower retention rates, AI apps performed better on early monetization metrics. RevenueCat reports that AI apps are 52% more effective at converting trial users into paying customers than non-AI apps, with a median conversion rate of 8.5% versus 5.6%.
Additionally, AI apps monetize downloads approximately 20% more effectively, with a median of 2.4% compared to 2% for non-AI apps.
Additionally, AI-powered apps significantly increase realized lifetime value, a measure of the net revenue generated over time from the average paying user. On a monthly basis, the median realized lifetime value for AI apps was $18.92 and $13.59 for non-AI apps. On an annual basis, it was $30.16 for AI apps versus $21.37 for non-AI apps.
Overall, the report concludes that while artificial intelligence can strongly increase initial revenue and conversion rates for subscription-based apps, many AI-powered products still struggle to maintain long-term value and customer retention.
First publication date
