How AI is creating a battle between attention and advertising revenue in India

Every new medium in advertising history has followed a familiar rhythm. Attention moves first, and money follows once someone builds a tollbooth on the road. What is unfolding in India's AI ecosystem right now breaks that rhythm in an unusual way. The platform commanding the overwhelming share of India's AI attention has, for the moment, no advertising tollbooth at all. Meanwhile, a rival with a far smaller share of that attention has already opened one, and is quietly collecting toll.

This is not a story about whether AI belongs in a media plan, that debate is largely settled. It is a story about a widening gap between where Indian consumers are actually spending their AI hours and where the current advertising money is actually landing, a gap wide enough that it is reshaping how platforms, agencies and brands are placing their bets before a formal AI ad marketplace even exists in the country.

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The Attention Nobody Can Sell Yet

Comscore's data on AI visitation duration in India shows just how lopsided the attention side of this equation already is. OpenAI accounts for 86 percent of AI visitation duration on desktop in India and 83 percent on mobile, dwarfing Gemini's 4 percent desktop and 9 percent mobile share, with Copilot, Anthropic, Perplexity, DeepSeek and Meta AI splitting what remains. That is not a narrow lead, it is close to a monopoly on time spent, concentrated heavily among users aged 18 to 24 who turn to AI assistants primarily for conversation, images and video.

Yet none of that attention currently converts into a rupee an Indian advertiser can spend directly. Vivek Jaiswal, Country Manager APAC at Comscore, is precise about what this means today. “AI is not yet a direct advertising channel in India, but it has become a very strong indirect indicator of where digital advertising is headed. The monetisation of AI search is still evolving, and the ecosystem is figuring out how to translate user intent into advertising opportunities,” he says.

In effect, the largest audience pool in Indian digital media right now sits outside any advertising marketplace, a position almost unheard of for a platform holding this much daily attention.

The Money Is Already Moving, Just Not Where the Eyes Are

While OpenAI's usage numbers dwarf everyone else's, WPP Media's outlook shows the early ad revenue taking shape somewhere else entirely. India's intelligence advertising revenue, the category built around AI-powered search and discovery, is forecast to cross 2.5 billion dollars in 2026, growing 9 percent. That revenue is flowing largely through Google's existing infrastructure. Google's AI Overviews are already live across a meaningful share of India's search volume, giving Gemini and Google's established ad systems a first-mover advantage in AI search monetisation, while OpenAI's own advertising products are expected to be tested only later.

Jaiswal frames this as a reflection of infrastructure rather than usage. “There isn't a standard AI advertising budget that brands should allocate. The relevance of AI varies significantly across industries. Categories such as healthcare, financial services and automotive are seeing much richer consumer interactions on AI platforms than several other sectors,” he says. In other words, the platform winning today's ad rupee is not necessarily the one winning today's eyeballs, it is the one that already had the pipes built to sell against intent, however small that intent pool currently looks next to ChatGPT's scale.

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A Contest to Be Cited, Not Just Clicked

The imbalance runs deeper once the conversation moves from platforms to brands themselves. Comscore's analysis of AI Overview citations across Google and Bing shows a new, narrower contest already underway inside AI-generated answers. In entertainment queries, Wikipedia is cited in 26 percent of AI overviews ahead of YouTube at 24 percent. In retail queries, Amazon and YouTube tie at 16 percent ahead of Flipkart at 11 percent. In financial services queries, ClearTax leads at 18 percent ahead of Bajaj Finserv at 9 percent. These citation shares are effectively a new visibility currency, one that has nothing to do with search rank or ad spend, and everything to do with whether an AI system trusts a source enough to quote it.

This is the part of the story most brands have not caught up to. They are used to competing for clicks on a results page. They are not yet organised to compete for citation inside an answer where there may be no results page, and no click, at all.

Whose Rules, Whose Rupee

Shalini Sinha, Group Service Line Leader at Ipsos for Creative Excellence and SIA, argues this uncertainty should slow brands down rather than rush them. "AI is not a new advertising channel to shift budgets to, but rather a powerful set of tools that demands a strategic reallocation of budgets within existing channels. As a first step, brands need to audit how the brand appears when consumers search for answers or recommendations on AI," she says. Ipsos's own AI Monitor 2026 findings, she notes, show strong momentum in AI adoption in India alongside a nuanced trust landscape, where confidence in companies deploying AI runs ahead of confidence in the outputs AI actually generates.

Read On: AI creates. Human emotion connects.

That trust gap matters because it cuts against the assumption that AI recommendations will simply replace brand building. "Consumers in India don't just buy on recommendation, they buy brands that they can recognize and trust. Building these critical brand levers like brand associations, memorability, distinctiveness and credibility is still a conventional advertising job," Sinha says. Jaiswal makes a similar point from the measurement side, arguing that the real prize is not ad space at all. "The opportunity is not just advertising on AI platforms, it's understanding the consumer intelligence generated through AI conversations and using those insights to make advertising more effective. Global markets are further ahead in understanding consumer behaviour on AI platforms, while India is still at an earlier stage," he says.

An industry expert told e4m requesting anonymity, "The maturity of AI advertising in India is different from some global markets where AI platforms have started introducing branded content and advertising formats. In India, that ecosystem is still developing." They explained that global markets are further ahead in understanding consumer behaviour on AI platforms, while, "India is still at an earlier stage. We are seeing agencies experiment with AI data here, but the ability to measure intent-based AI searches is still limited."

For now, the picture is oddly split. The platform with India's attention has no ad shop open yet. The platform with the early ad revenue is riding a smaller slice of that attention. Citation, not click, is fast becoming the currency that decides who gets seen at all, and Indian brands are only beginning to audit their place inside it. Whichever side of that gap closes first will likely decide who captures the next wave of India's digital ad rupee, and it is a contest still very much in motion.