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Image AI models now drive app growth, beating chatbot upgrades
A report by Appfigures shows that image AI models are significantly boosting app downloads, achieving 6.5x more than traditional updates. Notably, Google's Gemini and OpenAI's ChatGPT saw millions of new downloads after releasing image models, though the conversion to revenue varies, with ChatGPT being the most successful. This shift marks a move towards visual-focused AI capabilities in the mobile app sector.
Key points
- Image AI model releases have driven substantial app downloads, outperforming traditional model updates by 6.5 times.
- Google's Gemini's Nano Banana image model resulted in over 22 million additional downloads following its release.
- OpenAI's ChatGPT gained over 12 million new installs after introducing its GPT-4o image model.
- Meta's AI video feed, Vibes, received about 2.6 million downloads after its launch, indicating a trend towards visual content.
- Despite increased downloads, converting these to revenue has been inconsistent; ChatGPT generated $70 million post-launch, while others didn’t see similar financial gains.
Why it matters
- This trend reflects a larger shift in the tech industry towards visually driven applications and user interactions.
- AI's evolution from text-based interactions to image and video capabilities aligns with the current demand for richer digital experiences.
- By 2025, the integration of visual AI in mobile apps may redefine user expectations and app development strategies, enhancing engagement and interactivity.
The report emphasizes a transformative phase in mobile apps driven by visual AI models, highlighting the need for developers to adapt to user preferences for visual content while being aware of the challenges in monetization.