The proposal could reshape monetisation models for global platforms, forcing them to allocate earnings to a wider creator ecosystem and tighten deep‑fake regulations, impacting advertising revenue and compliance costs.
India’s latest policy push reflects a growing global consensus that platforms must share advertising revenue beyond traditional publishers. While the United States and Europe have debated similar models, Vaishnaw’s call expands the conversation to include remote creators, influencers, and academic researchers who fuel engagement metrics. By positioning revenue sharing as a fairness principle, the Indian government aims to bolster a fragmented creator economy that has seen margins shrink amid algorithm‑driven ad auctions. This move could pressure multinational platforms to redesign payout structures, potentially increasing operational costs but also fostering a more sustainable content ecosystem.
The emphasis on synthetic media consent adds a regulatory layer that aligns with emerging AI‑ethics frameworks worldwide. Deepfakes and AI‑generated voices have already disrupted political discourse and brand safety, prompting calls for stricter consent mechanisms. Vaishnaw’s demand for mandatory permission before using an individual’s likeness seeks to embed ethical safeguards directly into platform policies. If enforced, creators and subjects could gain legal recourse, while platforms may need to invest in detection tools and consent‑management infrastructure, reshaping how AI‑generated content is produced and distributed.
Beyond monetisation, the minister linked platform responsibility to broader public‑interest goals, such as child safety and misinformation mitigation. By tying revenue‑share obligations to accountability standards, India signals that compliance will be evaluated holistically, not merely through checkbox‑style regulations. This integrated approach could influence other jurisdictions to adopt similar models, prompting a shift toward more transparent, creator‑centric digital economies. Companies that adapt early may gain competitive advantage, while laggards risk regulatory penalties and reputational damage.
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