Visual AI is filling phones, but not yet filling app makers’ wallets

the era of chatbot-driven app growth appears to be waning. New data from Appfigures reveals that image-based AI models now generate 6.5 times more downloads than conversational AI updates, a shift that has reshaped the mobile app landscape. Google’s Gemini 2.5 Flash, launched in August 2024, became the poster child for this trend, amassing over 22 million downloads in just 28 days—a figure that dwarfs the performance of most chatbot upgrades. Similarly, ChatGPT’s GPT-4o image model added 12 million incremental installs in the same timeframe, while Meta AI’s video feed feature, Vibes, contributed an additional 2.6 million downloads in September 2025.

The numbers underscore a clear preference among users for visual AI tools, whether for image generation, video filters, or interactive media. Yet the surge in downloads hasn’t translated into proportional revenue gains for most developers. The discrepancy suggests that while visual AI may capture user attention, it doesn’t always align with monetizable use cases. For now, the trend remains a high-stakes experiment in balancing engagement with profitability.

The source material also shows that the dominance of visual AI isn’t just about raw download numbers—it reflects a broader evolution in how users interact with artificial intelligence. Unlike chatbots, which often require sustained engagement to demonstrate value, image-based models offer immediate, tangible outputs. A user can generate a custom image or video in seconds, making the technology feel more accessible and less abstract. This immediacy likely explains why apps like Gemini and ChatGPT saw such rapid adoption after rolling out visual features.

However, the challenge lies in turning that initial curiosity into lasting value. Many apps rely on ad impressions or in-app purchases to monetize, but visual AI tools often operate as one-off utilities rather than recurring services. If users download an app to experiment with an image generator but never return, the spike in installs becomes a hollow victory. The question for developers is whether they can design visual AI experiences that encourage repeat usage—or if the trend will fade as quickly as it emerged.

For now, the data points to a clear winner in the short term: visual AI is the new growth lever for mobile apps. But as the market matures, the real test will be whether these tools can move beyond novelty and establish themselves as indispensable utilities. Until then, the gap between downloads and dollars will remain the industry’s defining tension.