Generative AI is transforming India’s Media & Entertainment sector, revolutionising how content is
created, refined, and distributed. From streamlining post-production workflows to enabling hyperpersonalised viewer experiences, AI is shaping the industry’s next era of innovation and efficiency.
As AI adoption accelerates in 2025 and beyond, its impact will be even more profound.From automated storytelling to
real-time personalization, here are the top 10 AI use cases that will shape M&E in 2025.
Automated Scriptwriting and Storyboarding
• AI tools streamline storytelling by generating
scripts, identifying plot gaps, and creating detailed
storyboards.
• Platforms like Soros leverage advanced natural
language processing (NLP) to craft scripts tailored to
audience preferences.
• By 2026, AI-driven scriptwriting will be a gamechanger for Indian cinema, especially for regional
films, OTT series, and advertising, potentially
reducing pre-production costs by 20%–30%.
VFX Automation
• AI-powered tools like Runway Gen-2 optimize motion
tracking, CGI rendering, and real-time visual effects.
• Automation in VFX can cut production costs by up to
40%, boosting efficiency in filmmaking, gaming, and
advertising.
• India’s animation and gaming sectors stand to benefit
significantly, cementing the country’s position as a
global VFX hub.
AI-Assisted Localization and Dubbing
• AI-driven voice cloning and automatic lip-syncing
enhance multilingual content production.
• Tools like Rephrase.ai and VisualDub facilitate real-time
voice adaptation and synchronized dubbing
• AI-powered localization will be crucial for OTT platforms
expanding into Tier-II and Tier-III cities, reducing costs by
25%–35% and ensuring authenticity in regional content.
Personalized Content Recommendations
• AI-driven recommendation engines like Gracenote
AI enhance OTT user engagement through hyperpersonalization.
• New aggregators like DorPlay use cross-platform content
preferences for smarter recommendations.
• Beyond OTT, AI-driven personalization is benefiting
music apps, news platforms, gaming aggregators, and
D2C platforms, potentially increasing subscription
revenues by 20%–30%.
Dynamic Content Editing and Enhancement
• AI tools such as Firefly enable seamless video editing,
background replacement, and color enhancement.
• Independentcreators, YouTubers, and digital advertisers
can leverage AI to lower editing costs by 40% and
accelerate content delivery
AI-Driven Music Composition
• Platforms like Aiva generate royalty-free, AI-composed
music for films, ads, and gaming.
• This technology reduces dependency on traditional
composers, slashing music production costs by 40%
• AI-generated music is set to democratize audio
production, empowering independent artists and small
businesses.
Live and Real-Time Personalization
• AI enhances live sports and event streaming by
dynamically adjusting content quality based on device
and internet speeds.
• This innovation improves monetization opportunities,
potentially boosting ad revenue and pay-per-view
subscriptions by 15%–20%.
• Tools like Conviva provide real-time analytics for
adaptive streaming.
AI-Powered Advertisement Targeting
• AI-driven ad targeting improves campaign ROI by 25% by
analyzing user behavior and content preferences.
• Mobile ad services, OTT platforms, and e-commerce
players stand to benefit from AI-powered ad placement
tools like Kargo AI.
Synthetic Media for Marketing Campaigns
• AI-generated synthetic media (e-commerce ads, product
demos, social media content) is reshaping marketing
strategies.
• Tools like DeepMotion can cut production costs by 40%–
50%, enabling scalable, high-quality digital campaigns.
Ethical and Inclusive Content Creation
• AI models are being trained to reduce biases and create
culturally sensitive content, critical for India’s diverse
audience base.
• OpenAI’s GPT-4 Multimodal supports inclusive script and
dialogue generation
• Ensuring ethical AI use will strengthen audience trust,
potentially driving 10%–15% growth in long-term
platform loyalty.
AI for Process Efficiency in M&E
Beyond content creation, AI is also optimizing operational
processes, including:
• Rights Management – Automated tracking and
monetization of intellectual property
• Content Scheduling – AI-driven scheduling based on
historical trends and future events.
• Cue-Sheet Automation – Streamlining documentation
for royalty and rights management
• Advertising Insights – AI-powered market intelligence
for sales teams.
• Research & Media Planning – Data-driven audience
insights for strategic planning.
The Rise of AI in Consumer Tech
India witnessed exponential growth in AI adoption in 2024:
• AI app downloads surged by 135% YoY
• Consumer spending on AI grew by nearly 200% YoY
Responsible AI: Managing Risks & Ethical Considerations
While GenAI offers efficiency and creativity, it also raises
concerns around security, privacy, and ethical usage.
Industry players must implement Responsible AI frameworks
to mitigate risks, such as:
• Data leaks (e.g., Samsung’s ChatGPT-related breach).
• AI errors (e.g., Air Canada’s chatbot refund mishap).
• Misinformation and content manipulation (e.g.,
synthetic media risks in advertising).
As AI continues to redefine the M&E landscape, balancing
innovation with responsibility will be critical for sustainable
growth. By leveraging AI’s transformative potential
while addressing ethical challenges, India’s media and
entertainment industry is poised to lead the next era of
digital evolution.