Appfigures: Sora's app downloads dropped 32% month-over-month in December and 45% in January to 1.2M; consumer spending on the app fell 32% MoM as of January
After rapidly hitting the top of the App Store in October, OpenAI's video-generation app Sora is now struggling.
Context & Ripple Effects
Sora’s launch produced an unusually fast initial uptake: it reached 1 million downloads in under five days, and its early iOS download total outpaced Meta AI’s over a subsequent October measurement window. That rapid launch adoption made the app a prominent early consumer test for OpenAI’s video-generation product.
By December, combined iOS and Android downloads had reached roughly 9.1 million, but coverage had already identified slowing growth. The emerging deceleration now extends to both new downloads and consumer spending, making the change more consequential than a post-launch download decline alone.
First-order effects
- Sora’s January acquisition pace fell to 1.2 million downloads after consecutive month-over-month declines, reducing the flow of newly acquired mobile users.
- A 32% month-over-month decline in consumer spending points to weaker near-term mobile revenue alongside lower downloads, putting greater weight on retaining and converting the existing user base.
Second-order effects
- OpenAI has a clearer incentive to test whether Sora’s mobile product can sustain use and payment after its launch surge, rather than relying on initial distribution momentum.
- For competing consumer AI apps, Sora’s trajectory underscores that headline download rankings do not by themselves establish durable subscription demand; retention and spending become the more relevant comparison.
Third-order effects
- Consumer AI video apps may increasingly be judged on recurring monetization and retention after viral launches, widening the gap between products that attract curiosity downloads and those that support ongoing paid usage.
- If similar patterns persist, high compute-cost generative-media products could face sharper pressure to align product usage with sustainable revenue, a dynamic captured by the compute economics squeeze.
The trend: The story is part of a broader shift from launch-driven consumer AI adoption toward proving durable engagement and subscription economics.