In early 2025, a whimsical trend swept social media: users transforming their photos into Studio Ghibli-style art using ChatGPT’s image generation tool. What seemed like a fun viral moment was actually a massive revenue driver for OpenAI. Analytics from Appfigures, reported by TechCrunch, reveal that AI image features generate far more downloads and income than new language models alone. This listicle breaks down the seven most important lessons from this phenomenon, from OpenAI’s $70 million windfall to Google’s missed opportunity with its own viral moment.
1. The Ghibli Trend Was a Marketing Masterstroke
The viral Ghibli trend—where users turned everyday photos into anime-style scenes—did more than entertain. It acted as a free marketing campaign for ChatGPT, sending millions of users to the app. OpenAI’s Images 2.0 model launched just before the trend, allowing people to easily create nostalgic, hand-drawn style images. The emotional appeal of Ghibli’s aesthetic drove widespread sharing, which in turn skyrocketed app downloads. According to Appfigures, image-related features consistently outperform new model releases in driving user acquisition. The trend proved that a simple, creative tool can generate more buzz than any technical upgrade.
2. Image Generation Drives More Downloads Than New Models
One clear takeaway from the data is that image generation capabilities are the most powerful growth lever for AI chatbots. Appfigures found that downloads for both ChatGPT and Gemini spiked sharply after their respective image tools launched—far exceeding spikes from new language model versions. This suggests consumers crave visual creativity over incremental improvements in text generation. The Ghibli trend alone contributed to a sustained increase in ChatGPT’s daily active users. For companies like OpenAI and Google, investing in image AI isn’t just a nice feature—it’s a direct revenue path.
3. OpenAI Monetized the Trend to the Tune of $70 Million
While many AI companies give away image generation for free, OpenAI cleverly tied the Ghibli feature to its paid tiers. Users wanting to create unlimited Ghibli-style images had to subscribe to ChatGPT Plus or higher. This frictionless upsell resulted in an estimated $70 million in additional revenue during the trend’s peak month. The monetization strategy combined viral appeal with a freemium model: basic usage was free, but the most desired features required payment. Industry analysts note that this approach is a textbook example of converting viral attention into direct income.
4. Google’s Nano Banana Trend Earned Only a Fraction
Google’s Gemini also rode a viral wave with its Nano Banana 3D figurine trend, which let users create miniature toy-like versions of their photos. Yet despite similar hype, Google generated only a small fraction of OpenAI’s revenue from the trend. The key difference? Monetization strategy. Gemini offered most image features for free, relying on broader ecosystem benefits rather than direct subscription revenue. While the Nano Banana trend boosted Gemini’s downloads, it did not translate into significant immediate income. This contrast highlights the importance of aligning viral features with a clear revenue model.
5. Nostalgia and Novelty Fuel AI Adoption
The most successful AI trends tap into deep emotional hooks. The Ghibli trend leveraged nostalgia for the beloved Japanese animation studio, while Google’s 3D figurine trick appealed to a desire for playful, tangible mementos. Appfigures data shows that such trends not only drive initial downloads but also improve user retention. People are more likely to return to an app that offers creative, shareable experiences than one that merely improves chatbot accuracy. For AI companies, designing features that trigger emotional responses—like recreating childhood memories or turning photos into art—can be more effective than technical benchmarks.
6. New Models Alone Can’t Compete With Visual Hooks
OpenAI and Google continuously release new language models, but Appfigures found that these updates cause only minor download bumps compared to image tools. For example, the launch of GPT-4.5 saw a modest uptick, while the Images 2.0 release (including the Ghibli style) caused a massive spike. This indicates that the market has reached a point where language model improvements are seen as incremental, whereas visual creativity feels genuinely novel. AI companies should prioritize image generation R&D if they want to maintain growth momentum and compete for consumer attention.
7. Future Trends Will Likely Build on This Lesson
The success of the Ghibli trend and similar visual phenomena suggests that the next wave of AI monetization will center on multimedia features. Already, OpenAI has launched a new trend called “You and Your Younger Self,” which lets users place their adult and childhood photos in the same frame. Early data indicates another download surge. Meanwhile, Google is rumored to be developing paid tiers for its image tools. The message is clear: viral, visually compelling AI features are the fastest path to revenue. Companies that fail to integrate strong image generation with smart monetization strategies will likely be left behind.
Conclusion
The viral Ghibli trend was far more than a fleeting internet meme—it was a case study in how AI companies can turn creative features into millions of dollars. OpenAI’s $70 million windfall, contrasted with Google’s small earnings from a similar trend, underscores the critical role of monetization design. As AI evolves, the ability to generate shareable, nostalgic, and emotionally resonant images will continue to drive app growth more than any new language model. For developers and marketers, the takeaway is simple: build features that make people smile, and make it easy—and tempting—to pay for them.