The Indian media and entertainment (M&E) sector is undergoing a profound transformation, aggressively channeling investments into artificial intelligence (AI) and advanced product engineering. This strategic pivot, marked by the appointment of dedicated AI leadership and the development of proprietary technological tools, signals a decisive move to bridge a historical technology chasm with international industry behemoths. For decades, the Indian M&E landscape largely prioritized content creation over the intricate technical infrastructure and sophisticated product development that characterized its Western counterparts. Now, a confluence of digital disruption, evolving consumer expectations, and the exponential growth of AI capabilities is compelling a fundamental reorientation.
This strategic recalibration is not merely an incremental upgrade but a systemic shift within an industry once largely defined by its creative output rather than its technological prowess. A recent report by Ficci and EY highlights the burgeoning adoption of AI within India’s media sphere, with approximately 60% of surveyed companies already integrating AI into their operations, particularly in content generation and processing. However, the financial commitment remains somewhat conservative, as nearly half of these firms currently allocate less than 5% of their IT budgets to AI initiatives. This indicates a nascent but rapidly accelerating trend, poised for significant growth as the strategic advantages of AI become more evident and competition intensifies.
Leading the charge are prominent players such as JioStar and Pocket FM, who have significantly augmented their AI capabilities. Their focus spans optimizing various aspects of the entertainment value chain, from streamlining initial story development and enhancing production workflows to facilitating efficient localization and improving content discovery and audience retention. Pocket FM, a rapidly expanding audio entertainment platform, emphasizes its ambition to cultivate a distinctive, technology-driven entertainment ecosystem grounded in compelling narratives and deep consumer insights. The company has notably bolstered its AI-powered recommendation engines over the past two years, leading to enhanced content discoverability and user engagement. Furthermore, its proprietary AI Creator Suite is instrumental in accelerating story conception, refining production processes, and scaling localization efforts across diverse linguistic and cultural contexts.
To spearhead these advanced initiatives, Pocket FM recently appointed Vasu Sharma as its Head of AI. His mandate encompasses advancing complex areas like narrative intelligence, long-context reasoning, and developing scalable localization frameworks, all while ensuring that AI systems remain ethically governed and intrinsically "creator-first." According to Prateek Dixit, co-founder for product, technology, and AI at Pocket FM, these investments are pivotal for accelerating content output, hyper-personalization, optimizing operational costs, and efficiently scaling intellectual property (IP) globally, crucially without diminishing the central role of human creativity.
The long-standing disparity between Indian and global media enterprises—where the former emphasized content and the latter integrated product, data, and technological infrastructure alongside content—is now being actively addressed. Vijay Subramaniam, founder and group CEO of Collective Artists Network, exemplifies this new paradigm. His organization has pioneered a "cinema-native production technology platform" that seamlessly integrates generative systems, LoRA (low-rank adaptation)-driven character architecture, controlled shot pipelines, 3D/VFX integration, lip-sync synchronization, upscaling, quality control, and final delivery into a unified production environment. This holistic approach signifies a departure from fragmented workflows, promising unprecedented efficiency and creative control.
A critical economic implication of AI’s proliferation is the substantial reduction in the time and cost associated with content development and production. This paradigm shift underscores the increasing importance of intellectual property ownership and robust distribution channels. Ranjeet Pratap Singh, co-founder and CEO of storytelling platform Pratilipi, stresses that as development and production become cheaper and faster due to AI advancements, the most successful companies will be those that aggressively invest in acquiring or developing key IPs, possess captive distribution networks, or ideally, both. This strategic foresight ensures long-term competitive advantage in an increasingly automated content landscape.
The scale of technological investment by global media giants presents a formidable challenge. International companies currently pour an estimated $340 billion annually into media infrastructure, with individual players like Netflix dedicating approximately $3.39 billion to research and development alone. This stark contrast in spending power highlights the significant ground Indian firms must cover. Competing successfully in this global arena demands not only scale but also unparalleled speed, seamless technology integration, and acute cultural relevance. Danish Devgn, founder and CEO of Lens Vault Studios, whose firm specializes in data-driven content strategies for digital-first IPs—particularly YouTube-native formats—underscores this. His company has established Prismix Studios, a dedicated generative AI and visual innovation arm, to drive its technological advancements.
However, the journey is not without its hurdles. Kartik Mehta, chief business officer and head of Asia at Channel Factory, a technology and data platform, points to several challenges confronting Indian firms. These include intense talent competition for AI specialists, the significant capital outlay required for scaling infrastructure, and the need for sustained investment in advanced AI capabilities, all while operating within India’s highly price-sensitive markets. Despite these obstacles, Indian companies possess unique advantages: a deep understanding of local cultural nuances, exceptional multilingual adaptability, and an inherent agility in innovation. These attributes allow them to craft highly resonant and contextually relevant content that can penetrate diverse domestic and international markets.
The shift towards product-led growth, powered by AI-native marketing and distribution stacks, is gaining momentum. Rajiv Dingra, founder and CEO of digital agency ReBid, notes that numerous Indian platforms have, over the past year, invested heavily in real-time data pipelines. These pipelines unify data from various sources—apps, Over-The-Top (OTT) platforms, Connected TVs (CTVs), and e-commerce interactions—into a singular, authoritative source. This unified data then fuels AI-driven personalization engines, enabling more targeted content delivery and user engagement.
Beyond optimizing existing processes, many Indian companies are actively leveraging advanced generative AI platforms and real-time rendering engines to create entirely new, AI-driven worlds and characters. This includes developing immersive virtual reality (VR) experiences designed to meet stringent international quality benchmarks. ShareChat, for instance, has established a global AI organization with strategic hubs in India, Singapore, and London, alongside key leadership appointments. Ankush Sachdeva, co-founder and CEO of ShareChat, Moj & Quick TV, reports tangible results, stating that optimizing their proprietary AI models has led to a remarkable 50% increase in time spent per user on Moj over the past six months.
Ultimately, the key to sustained competitiveness against global behemoths lies in a delicate balance: judicious technology investment coupled with invaluable localized insights. This dual approach enables Indian firms to engineer uniquely differentiated consumer experiences while rigorously maintaining operational efficiency. As AI continues its rapid evolution, India’s entertainment sector is poised not just to close the technological gap but to emerge as a global leader in AI-powered content creation, distribution, and consumption, shaping the future of entertainment on a worldwide scale.
