How AI is breaking advertising’s oldest business model

For decades, advertising agencies sold time. Teams were assembled, hours were billed, and retainers expanded in proportion to manpower deployed. Artificial intelligence is now dismantling that equation.

What started as experimentation with tools like ChatGPT and Midjourney has quickly evolved into a structural reset for agency economics. Campaign mockups are generated in minutes, creative iterations are compressed into hours, and production costs are falling sharply as AI automates large parts of execution.

The debate intensified earlier this year when WPP CFO Joanne Wilson proposed a gradual shift away from manpower-linked billing toward remuneration models tied more closely to business outcomes. Her remarks triggered wider industry conversations around whether agencies are fundamentally selling time, execution or intellectual leverage.

Agency leaders say the pressure is no longer theoretical. AI is already forcing networks to rethink commercial structures, talent models and the economics that historically powered agency growth. “Big advertisers in India and across the world have already started pushing for new pricing models to replace the prevailing ones,” industry insiders say. 

Cultural reset at WPP: Read more

The CMO of a leading FMCG company, tells e4m, “The billable hour measured presence, not thinking. AI hasn't broken the model. It's made the flaw impossible to ignore.”

Hemant Kshirsagar, Chief Business Officer, Financial Services & Fintech, CXM, dentsu India, says the traditional logic of billable hours is rapidly weakening as AI compresses manual effort and production timelines.

“Billable hours were always a proxy for value. But that constraint has now been broken,” Kshirsagar says, adding that clients are increasingly paying for “judgement, taste and accountability, not hours.”

WPP's new pay model: Read more

Echoing the sentiments, Carol Goyal, Founder-CEO of AIL, Rediffusion Group, says, “AI is fundamentally breaking the link between time spent and value delivered. Directionally, the industry is moving away from effort-based pricing toward impact-based relationships, echoes the sentiments.”

The debate intensified earlier this year when WPP CFO Joanne Wilson proposed a gradual shift away from manpower-linked billing toward remuneration models tied more closely to business outcomes. Her remarks triggered wider industry conversations around whether agencies are fundamentally selling time, execution or intellectual leverage.

“Billing clients purely on headcount or hours may become increasingly harder to justify,” senior executives admit, adding, “The implications go beyond pricing. AI is beginning to challenge the very architecture on which agency businesses were built.”

The AI-led transition is unfolding amid wider industry consolidation and macroeconomic uncertainty aggravated by US tariff tensions and the Middle East conflict. 

For India, where the advertising market is estimated at nearly ₹1.55 lakh crore, the challenge is particularly acute as AdEx remains closely tied to consumer sentiment and near-term demand visibility. The shift is set to reshape the business model of agencies, particularly global agency networks that currently command over 75% of media buying share. 

Prevailing model

Historically, agency economics were built on commissions linked to media spends. Over time, retainers, hourly billing and project-based fees became dominant commercial structures, with revenues directly tied to manpower deployed and hours billed.

The system worked because advertising operated on linear workflows: bigger mandates meant bigger teams, more revisions meant more hours, and growth often meant expanding headcount.

AI is now disrupting that foundation. Tasks that once took days — campaign mockups, localisation, strategy decks and creative adaptation — can now be completed in hours through AI-assisted workflows.

The Talent Pyramid Is Changing

Executives say AI is hollowing out the industry’s traditional execution-heavy middle layer, forcing agencies to redesign both team structures and hiring priorities.

“We are moving toward a diamond-shaped structure — with fewer executors, more AI-fluent talent and stronger strategic leadership,” says Hemant Kshirsagar.

Goyal believes agencies now face a critical strategic choice: whether to use AI merely to become cheaper or to become more valuable. According to her, the industry is gradually moving toward hybrid pricing structures where AI-driven production becomes faster and more cost-efficient, while strategy, creativity and measurable business outcomes command a premium.

“It’s not a complete move to value-based pricing yet, largely because that requires trust and clarity on outcomes,” Goyal says. “But directionally, the industry is moving away from effort-based pricing toward impact-based relationships.”

Clients Have the Same AI Tools Now

The deeper challenge for agencies is that clients today have access to many of the same AI tools. Increasingly, creative development, media modelling and content workflows are being handled in-house by large advertisers including Dabur, Godrej and several Indian startups. Faster turnaround times are now viewed as hygiene rather than premium capability, while efficiency gains are feeding directly into pricing negotiations.

“This doesn’t necessarily mean fees will collapse, but the pricing model is clearly migrating from time spent to value created,” said a senior marketer at a leading FMCG company.

Shubhranshu Singh believes AI will fundamentally reshape agency structures and client relationships. “Good marketing has never really been about hours spent, but about judgment, brand immersion and originality,” Singh says, arguing that AI is exposing how much of agency work was rooted in “industrial assembly” rather than genuine intellectual thinking.

“If agencies use AI only to reduce costs, they would be walking into a race to the bottom,” he warns, adding that clients will increasingly pay for strategic depth and business impact rather than process.

Even so, most industry leaders believe India is unlikely to move entirely toward pure outcome-linked remuneration anytime soon. They believe hybrid structures are more realistic, with fixed retainers likely to coexist alongside variable components linked to business outcomes. 

Vinay Hegde, Head of Investments at Madison World, told e4m earlier, “While the global narrative around outcome-linked compensation appears compelling, the Indian market presents unique operational challenges. Hours of deliverables do contribute to the final outcome, even if AI is in play,” Hegde said. “And business performance depends on many variables beyond the agency’s or even the client’s control. It also requires deep data sharing between both parties, which can involve confidentiality concerns.”

AI Savings: Pass Back or Reinvest?

AI is undoubtedly creating efficiency gains, but agencies are now confronting a deeper strategic question: should those gains be passed back to clients through lower costs, or reinvested into stronger strategy, creativity and new capabilities?

Carol Goyal warns that agencies passing efficiencies entirely back to clients risk commoditising themselves.

“Passing efficiencies directly to clients may help in the short term, but it risks pushing agencies into a commoditised, production-led role,” Goyal says.

Instead, she argues that agencies should reinvest AI-led efficiencies into stronger strategic thinking, better creative output and new capabilities.

“The balance isn’t just financial — it’s about positioning,” Goyal notes. “Agencies that use AI to become more valuable, not just cheaper, will sustain long-term relevance.”