Saregama Seeks Licensing Deals While Defending Premium Music IP

Saregama managing director Vikram Mehra told analysts during the company's Q4 FY26 earnings call that streaming platforms should assign "no value" to music generated purely by artificial intelligence, while simultaneously acknowledging AI is creating new licensing opportunities the label will engage commercially "at the right time." The Indian music label, which owns a catalogue of over 180,000 songs, has launched a dedicated AI-efficiency team and plans to invest Rs 300-350 crore in new music content in FY27, up from around Rs 235 crore in FY26.

Saregama Seeks Licensing Deals While Defending Premium Music IP Saregama is publicly balancing defence of traditional music royalties with openness to AI-era licensing. According to coverage of the company's Q4 FY26 earnings call, managing director Vikram Mehra told analysts that streaming platforms should assign "no value" to music "generated purely or through AI," a position reported by Music Business Worldwide and Medianama. At the same time, Mehra said the label is "realizing that AI is creating new licensing opportunities," and indicated it will engage commercially "at the right time," per Music Business Worldwide. Economic Times reports Saregama owns a catalogue of over 180,000 songs , has launched a dedicated AI-efficiency team , and plans to invest Rs 300-350 crore in new music content in FY27, up from around Rs 235 crore in FY26. Reporting also notes the company sees paid subscriptions contributing to growth on platforms including Spotify, YouTube and JioSaavn. What happened Saregama Managing Director Vikram Mehra used the company's Q4 FY26 earnings call to set out two concurrent positions on artificial intelligence, as reported across multiple outlets. Music Business Worldwide and Medianama quote Mehra urging digital streaming platforms to assign "no value" to music "generated purely or through AI." The same earnings call coverage records Mehra saying Saregama is "realizing that AI is creating new licensing opportunities" and that "at the right time, we will also engage commercially with many of these people," language reported by Music Business Worldwide. Economic Times reports Saregama owns a catalogue of over 180,000 songs , has created a dedicated AI-efficiency team to identify labour-intensive functions and infringement tracking use cases, and plans to invest Rs 300-350 crore in new music content in FY27 versus around Rs 235 crore in FY26. MusicBusinessWorldWide and Musically coverage of the earnings call also lists operational highlights: festival staging, new releases across multiple Indian languages, and an artist-management roster expansion. Technical details Editorial analysis - technical context: Industry reporting frames two distinct technical-policy levers when labels debate AI content and royalties: provenance/metadata standards and automated synthetic-audio detection. Observers covering similar disputes note that robust content labelling or watermarking and tooling to flag synthetic tracks are the practical mechanisms platforms and rights holders discuss, but both bring tradeoffs-metadata requires platform-level enforcement, while detection models run risks of false positives when AI models accurately emulate stylistic traits. Context and significance The coverage captures a broader 2026 pattern where rights holders simultaneously defend existing royalty pools and explore new monetisation via licensing to generative-AI firms. Reporting portrays Mehra's stance as part of that dual approach: a call to protect the integrity of royalty distributions, and a recognition that licensing deals between labels and generative-AI companies are emerging globally. For practitioners building or integrating generative-audio systems, the immediate implication is clearer: access to high-quality, licensed catalogues may become an explicit commercial pathway, while licensing terms and platform royalty rules will shape training and distribution economics. For practitioners - •Licensing impact: If labels follow the path described in reporting, commercial licensing, not scraping, will be the cleanest route to use premium catalogs for model training or downstream generation. Companies building generative audio products should track deals between major labels and AI firms for precedent on fees, permitted use cases, and attribution requirements. - •Detection and provenance: Implementing or accepting platform-level metadata and watermarking will alter ingestion pipelines. Teams responsible for content moderation and rights management should budget for integration work and human review to resolve disputed flags, per industry-pattern observations. What to watch Key indicators to monitor include public licensing deals between global labels and generative-AI platforms, platform policy changes on how royalty pools treat synthetic content, and the emergence of cross-platform metadata/watermarking standards. Also watch whether Indian streaming services named in reporting as Spotify, YouTube and JioSaavn adopt explicit rules excluding synthetic tracks from royalty distributions, and whether any bilateral agreements between labels and platforms are announced. Reported-source notes All quoted market positions and the investment figures above are drawn from reporting of Saregama's Q4 FY26 earnings call and subsequent coverage: Music Business Worldwide earnings call quotes , Medianama quotes and operational details , Economic Times catalogue size, investment figures and AI-efficiency team , Musically and Lets Data Science summaries of the same call. The company has not published a separate public policy paper on AI in the scraped sources cited here. Scoring Rationale The story matters to practitioners because it reflects how rights holders are negotiating royalty rules and licensing with generative-AI firms, which affects access to training data and commercial models. It is notable but not transformative technically. Practice with real Streaming & Media data 90 SQL & Python problems · 15 industry datasets Active Users in Target CountriesEasy /problems/sql/active-users-in-target-countries-streaming High-Rated Titles with ReviewsMedium /problems/sql/high-rated-titles-with-reviews User Churn Risk AssessmentHard /problems/sql/user-churn-risk-assessment 250 free problems · No credit card See all Streaming & Media problems /problems/datasets/streaming