AI-generated ads now match or slightly outperform human-made creatives on key delivery metrics, according to data from global advertising technology platform VDO.AI. On connected TV, AI-generated ads recorded a 92% video completion rate compared to 90% for non-AI ads, while online video showed a 71% rate for AI-led ads versus 70% for traditional creatives.
The numbers signal a shift in how brands approach production. Industry executives say AI-guided assets can match the effectiveness of human-made spots when the message is clear, the format fits and audience targeting is precise. But as adoption accelerates, brands face harder questions about authenticity, ethics and relevance.
Localization at scale
India's multi-language market has become a proving ground for AI adoption. Dynamic creative tools now let agencies translate and adapt creative hooks, voiceovers and contextual details into regional languages simultaneously - work that once required separate recording sessions for each language.
"A film shot once can ship across a dozen languages without a dozen recording sessions," said Parminder Singh, co-founder at Redscope AI. Anil Goel, global chief technology officer at Nielsen, said AI is helping advertisers derive audience insights, optimize media planning and personalize campaigns across the value chain.
On the creative side, brands use generative video tools to produce multiple versions of ad copies, images and videos, cutting production timelines and enabling rapid testing. In media buying, AI powers bidding strategies, audience segmentation and budget allocation across platforms like Google, Meta and programmatic ecosystems.
Uneven adoption across sectors
Digital-first businesses - e-commerce, fintech, gaming and D2C brands - have embraced AI fastest because they already operate on rapid experimentation cycles. More regulated sectors such as banking, insurance and healthcare are adopting AI more cautiously, with stronger human review processes, according to Rajiv Dingra, founder and CEO of ReBid.
Amita Madhvani, producer and co-owner of Equinox Films and Ram Madhvani Films, sees AI as an enabler rather than a replacement. "I believe AI is most valuable when it allows creators to spend less time on repetitive tasks and more time on storytelling," she said.
Dynamic ads and the authenticity test
Brands are tapping live data feeds to adjust ad visuals and text at the moment of delivery. Hyundai paired live air quality index data with custom messaging for the Creta EV on connected digital screens, making its sustainability pitch feel immediate and locally relevant, said Preetesh Chouhan, co-founder and chief technology officer at Vibetheory.AI.
But advertising is not judged on a single metric. Completion rates can improve while trust or purchase intent falls if the creative feels inauthentic. "Consumers don't consume advertising through the lens of technology. They respond to whether it's relevant, well-timed and adds to the experience instead of interrupting it," said Arjit Sachdeva, co-founder of VDO.AI. Ruchira More, vice-president of analytics and performance marketing at Only Much Louder, said audiences care more about relevance than authorship.
Jobs, likeness and regulation
Graphic designers and copywriters are likely to feel the impact first, said Harshit Arora, founder and CEO of Growster. Dr. Kiran Sharma, professor at K. J. Somaiya Institute of Management, said tasks like writing copies, editing images, creating subtitles and simple video editing have become automated in routine production. Siddharth Kelkar, managing director of India/MENA and performance business at AnyMind Group, said AI fluency is becoming a baseline skill. The people who thrive will pair domain expertise with strong AI skills rather than relying on either alone.
Celebrities face a different challenge. As AI-generated content becomes more sophisticated, issues of permissions, licensing and digital identity grow more urgent. Pratish Mepani, founder and creative director of Starting Monday Design and Branding Co., said likeness, voice and personality are part of a celebrity's professional value. Divyat Kanyal, founder of TALL Creative Studios, added that celebrities increasingly treat their likeness as IP needing the same legal protection as a trademark.
Regulation is arriving. MeitY has amended the IT Rules to cover synthetically generated information, and ASCI has followed with draft labelling guidelines requiring specific consent to use a person's likeness.
Why this matters for creatives
The data shows AI tools can handle production tasks at scale, but the creative value is shifting toward strategy, storytelling and judgment. AI handles repetitive work - multiple language versions, basic edits, copy variations - while the human role centers on what to say, to whom and whether it fits the brand. Fluency with AI tools is becoming expected, but the people who advance will be those who pair that fluency with taste, cultural awareness and the ability to spot when an AI-generated asset feels wrong. The tools are catching up on delivery metrics. The harder skills - authenticity, timing, relevance - remain human territory.
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