Pocket FM, the Indian audio storytelling platform, doubled its annual revenue run rate to approximately $500 million in one year, alongside expanding its use of artificial intelligence in content production. Co-founder and CEO Rohan Nayak said AI currently supports 93% of the platform’s library and is used to produce 99% of its new content.
The company calculates this figure by multiplying its most recent monthly revenue by 12, rather than treating it as contracted recurring revenue. The run rate was approximately $250 million a year ago, then rose to $430 million in April before reaching its current level.
Faster, Lower-Cost Production
According to company executives, Pocket FM does not rely on stories being generated entirely independently. Human creators remain responsible for the ideas and narratives, while artificial intelligence tools turn these concepts into finished content at scale. Nayak said that building works and characters capable of continuing for decades requires a human role in the creative process.
The company developed its own models for tasks including creative writing and text-to-speech, drawing on years of production data and signals from listeners’ interactions with stories, according to Vasu Sharma, the company’s head of AI. Pocket FM says this transformation has made content production roughly 80 times cheaper; the time required to produce 100 hours of content fell from about one year to one day.
This has affected the size of the library. The platform’s creators, who number more than 550,000, produce approximately 2.5 million hours of AI-supported content annually. The company’s entire library contained about 100,000 hours two years ago, while it now exceeds 770,000 audio series.
Growth and Expansion Beyond Audio
The company links the increase in content to improved listener retention; its 12-month revenue retention rate rose to 76%, compared with 44% two years ago. It says that offering more diverse stories helped it meet the preferences of a broader audience. It has also expanded into the United Kingdom, Germany, and France, and launched user-generated content in the United States.
Pocket FM has more than 250 million listeners in over 20 countries, and the United States accounts for approximately 70% of its annual revenue run rate, after that market grew by about 70% over the past year. Approximately $85 million comes from advertising, compared with roughly $415 million from user payments to unlock individual episodes. The company has also generated more than $1 million in revenue from each of 96 series, including 13 series that exceeded $10 million.
Pocket Entertainment, the parent company, is attempting to transfer the model to other formats. Its short-form drama app Pocket Saga, currently available only in the United States, reached an annual revenue run rate of approximately $15 million three months after launch. Its content is produced entirely with artificial intelligence, and the company also uses successful Pocket FM stories to create videos for the app without traditional production based on live filming.
Why Does This Matter?
Pocket FM’s figures illustrate a practical model for using artificial intelligence to expand the content economy, rather than merely serving as an experimental writing or audio tool. The decisive factor in the case presented is the combination of interaction data, lower production costs, and keeping humans involved in developing ideas. However, most of the financial and operational figures cited are statements from the company, which has not disclosed net profit, cash flow, or margins, despite saying that it is profitable and generates positive cash flow on a run-rate basis.
Pocket Entertainment is in talks with investors to raise new funding, amid reports of a $100 million to $120 million round at a valuation of approximately $2 billion, without confirmation of the round’s size or valuation. Nayak said the company does not plan to go public within the next 24 months, while keeping open the option of a later listing in India or the United States.