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Pocket FM's strategy represents a significant shift in AI application within media, leveraging custom-trained generative models for creative writing and text-to-speech rather than relying on autonomous generation. By reducing production costs by an estimated 80x while retaining human oversight for IP development, the platform demonstrates how specialized AI infrastructure can scale content creation without sacrificing narrative quality. This case study highlights the practical economics of integrating proprietary LLMs into high-volume audio storytelling workflows.
India’s Pocket FM doubles revenue run rate to $500M as AI powers 93% of audio content

Pocket FM uses AI to produce 99% of its new content, helping make content production about 80 times cheaper.
Pocket FM, an Indian audio storytelling platform, has doubled its annualized revenue run rate to $500 million over the past year as it increasingly turns to artificial intelligence to produce its content. AI now powers 93% of Pocket FM’s overall catalog and is used to produce 99% of its new content, co-founder and CEO Rohan Nayak said in an interview. The shift comes as generative AI makes deeper inroads into content production. However, Pocket FM, which started in 2018 as a platform…
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