India, December 10, 2025 – LS Digital, a leading independent Digital Business Transformation (DBT) company, has released a comprehensive analysis on the state of AI adoption in India. Titled, The Rise of AI-Native Advertising in India: Hyper-Personalisation Meets Vernacular Scale, this report leverages LS Digital’s proprietary ‘Quilt’ methodology, an AI-led framework that applies machine learning to search, social and public web data to uncover themes, trends and consumer insights.
One of the key highlights of the report is India’s AI paradox, a powerful gap between consumer literacy and industry capability. Consumers are still learning the basics of digital advertising, yet the industry is already building advanced, AI-driven programmatic models at scale. This unique environment is driving innovation, leading to Hyper-personalisation becoming the single biggest theme, accounting for a staggering 47% of all industry discourse.
Key Insights from the Report
This creates a rare opportunity where high AI confidence and low foundational knowledge pave the way for the development of AI-native ad models in India.
A staggering 47% of all industry conversations are about hyper-personalised ad experiences. This is driven by a consumer base that expects tailored content and is open to AI-enabled targeting.
This signals a critical shift towards reaching the next billion users by leveraging linguistic diversity.
Social commerce in India is projected to hit USD 70 billion by 2030. A significant “Democratising Bharat” conversation is on the rise that represents:
This showcases that AI is becoming the equalizer that gives smaller businesses metro-level sophistication.
73% of Marketers believe the AI should support, not replace, human creativity. The “Creative Balance” theme (14% of conversation) shows:
The winning formula is thus the amalgamation of AI for scale and speed and humans for nuance and emotion.
Speaking about the findings, Prasad Shejale, Founder & CEO, LS Digital, said “India is uniquely positioned. We are managing a paradox where the consumer is learning the basics yet is incredibly trusting of AI-driven personalisation. Our findings confirm that success lies in mastering the ‘vernacular imperative.’ Brands that prioritise scaling multilingual creative, which delivers 30-40% more engagement, while building responsible, privacy-preserving AI models, will be the ones to dominate the $70 billion social commerce wave by 2030.”
Along with technological acceleration, the report highlights the growing need for responsible advertising. The rising regulatory landscape, including the Digital Personal Data Protection Act (DPDPA), necessitates a shift towards consent-based, first-party data strategies and privacy-preserving AI models.
The report highlights that India’s AI-native future requires a careful balance between hyper-personalisation ambition and regulatory responsibility, driving a fundamental shift from event-based advertising to continuous, real-time, micro-moment contextual marketing.
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