Agency types

Media agencies and AI: what the new era means for independents

AI is compressing execution and shifting media agencies' value towards advice. What that means for independents, and where to start.

Defy Editorial Published 7 min read Also available in: English中文Français
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The question behind this article

“How is AI changing the media agency business, and which tools should an independent agency adopt to stay in the race?”

Short answerAI absorbs execution first: reporting, data consolidation, repetitive optimisation. A media agency's value moves up towards advice, understanding the client's business and the ability to challenge a brief. For an independent, the point is not to pile up tools but to get the same depth of analysis as the big groups without bearing the cost of building it.

Key takeaways

  • According to Stratégies, AI will compress part of media agencies' execution and shift their value towards advice and understanding the client's business.
  • Each type of agency is hit differently, but everywhere AI first removes the work the client never saw.
  • Technology forces execution to compress; it doesn't decide what the agency does with the time freed up.
  • For an independent, the challenge is to reach the same depth of analysis as the big groups without building or maintaining its own tech stack.
  • An agency that claims a strategic role can no longer bill mainly for time spent.

How is AI changing the media agency business, and what should an independent agency do to avoid being left on the platform as the train pulls out? In short: AI absorbs execution, reporting and data consolidation first, and value moves up towards advice, understanding the client's business and the ability to challenge a brief. Independents don't need to imitate the big groups. They need the same depth of analysis, without paying to build it.

The diagnosis comes from inside the business. In a piece by Stratégies, the French trade title, on the "new era" of media agencies, Sanja Vlaisavljevic, general manager of Lift, warns that "AI will gradually compress part of that execution" and that it "will gradually shift agencies' value". Less in production, more in advice.

What is really changing for media agencies?

Day-to-day life at a media agency often looks like what Vlaisavljevic describes: producing, consolidating and sharing reports and dashboards. "Eight versions of an Excel file, three PowerPoints." Everyone has lived through that Tuesday.

That is exactly the layer being compressed. In her view, the real question is not what AI will replace, but what agencies will do with the time saved. Her answer: "move up the value chain". Understand clients' businesses better: their products, pricing, distribution, competitors and how their consumers behave. "Be able to challenge a brief, not just execute it."

Two consequences follow. Agencies will need sharper specialists rather than generalists. And they won't be able to claim a strategic role while billing mostly for time spent.

Media, creative, independent: who is affected, and how?

AI doesn't hit every agency model in the same place. Here is a reading by type of shop.

Agency typeWhat AI compressesWhere value movesMain risk
Holding-group media agencyReporting, optimisation, automated buyingData, business advice, negotiationA remuneration model still indexed to volume
Independent media agencyData consolidation, campaign wrap reportsProximity, responsiveness, niche expertiseLacking the analytical firepower to back up its advice
Creative agencyAdaptations, format versioning, desk researchThe idea, the point of view, judgementWatching production become a commodity
CRM or data agencySegmentation, message variants, deploymentReading behaviour, orchestrationBeing reduced to a technical operator
Social or influencer agencyMonitoring, creator shortlisting, performance reportingUnderstanding communities and culturesStill being judged on volume rather than impact

The common thread: everywhere, the first thing to disappear is the work the client never saw. What remains is the work they gladly pay for once they understand it.

Is AI making the decisions for agencies?

That is the temptation of the moment: believing technology alone dictates the future of the business. Sociologists call it technological determinism, the idea that a tool shapes organisations and practices whether their leaders like it or not.

That reading is half right. Yes, execution will be compressed whether or not the agency prepares for it: once a client knows a report can be produced in minutes, they won't pay for three days to get it. But technology doesn't decide what you do with the time freed up. An agency can turn it into short-term margin, into price cuts it never chose, or into advice.

Fundamentally, AI mostly produces volume: more data, more signals, more variants. Value goes to those who connect that mass to the human behaviour it describes. In connecting data to humanity, clarity emerges from chaos. That is interpretation work, not execution.

The real gap between the big groups and the independents

For years, the big groups' advantage rested on their tech stacks: analytics, data and AI tools they have invested millions in, and which their clients buy along with everything else. A 40-person agency could neither build nor maintain the equivalent.

That gap is narrowing, provided you don't try to build everything yourself. The Defy platform was designed for exactly that: to give independents the same analytical and AI capability as the big networks, without the development cost or the maintenance burden. SAMY, the global influencer agency, for example, uses Defy Agents to automate its performance reporting, cutting it from three days' work to one.

That time mustn't simply vanish into margin. It should go into knowing clients better, which is precisely the value Stratégies describes.

Where should an independent agency start?

  1. Map the execution. For two weeks, list everything that counts as repetitive production: monthly reports, consolidations, formatting, adaptations, competitor monitoring.
  2. Put a number on the time. Estimate the hours each task takes. That is your time reserve, and your best internal argument.
  3. Automate what the client doesn't see first. Reporting and data consolidation are the obvious candidates: immediate gain, low risk.
  4. Reinvest the time saved in knowing the client. Pricing, distribution, competitors, usage: that is where the ability to challenge a brief is won or lost.
  5. Specialise your people. Choose two or three sharp areas of expertise where you want to be the reference, rather than covering the whole spectrum.
  6. Rethink how you bill. If time spent falls, time-based billing drags your revenue down with it. Prepare fixed fees or a results-linked element.

Which AI tools should you favour, and which should you avoid?

Resist the urge to collect subscriptions. Ten tools that don't talk to each other recreate the eight-versions-of-Excel problem, only more expensively. Three criteria are enough to sort them.

  • Traceability. An AI-generated conclusion must be checkable against the source data. Otherwise you can't defend it in front of a client.
  • Fit with real work. A tool the team can query in its usual environments will get used. Yet another dashboard will be forgotten.
  • Total cost. Count maintenance, training and integration time, not just the licence.

Finally, keep one simple rule: AI takes the chores, people keep the judgement. A media agency that only does execution has no reason to exist. An agency that advises better because it executes faster, on the other hand, has a good decade ahead of it.

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How Defy helps

Defy brings together in one stack what only an in-house data and AI team could do until now: the same analytical capability as the big networks, without the development cost or the maintenance.

  • Defy Monitor continuously tracks competitors, audiences and conversations for every client and category.
  • Defy MCP lets you interrogate that data inside Claude, the way you would ask a colleague a question, with no dashboard to learn.
  • Defy Agents takes on repetitive delivery tasks, starting with reporting.

Start with the monthly report that costs you the most hours: it is the most telling test.

Frequently asked questions

Will AI kill off media agencies?

No, but their centre of gravity is shifting. According to Stratégies, AI will compress part of execution, and agencies' value will move up towards advice, strategy and understanding the client's business. Agencies that only sell execution are exposed. Those that know how to challenge a brief gain the time to do it.

Which AI tools should an independent media agency adopt first?

Start with what eats the most time without the client ever seeing it: reporting, data consolidation, competitor monitoring. Favour tools whose conclusions can be checked against the source data and that fit into existing working environments. Avoid piling up subscriptions that don't talk to each other.

How do you bill when AI cuts execution time?

If you bill for time spent, every productivity gain shrinks your revenue. So billing has to shift towards what the client is really buying: a deliverable, ongoing access to expertise or a result. As Stratégies points out, an agency cannot claim a strategic role while billing mainly for time spent.

Can an independent agency compete with the big groups' tools?

Yes, provided it doesn't try to build everything in-house. The big groups have invested millions in their analytics, data and AI stacks. Shared platforms now let an independent agency access equivalent capabilities, with no development cost and no team dedicated to maintenance.

Sources

  1. Une nouvelle ère débute pour les agences média — Stratégies, 2026-10-10

Why we wrote thisWe wrote this because "how is AI changing marketing, and which tools should we adopt?" comes up constantly among marketing and data leads, and the debate Stratégies has opened on the new era of media agencies puts it in concrete terms for independents.

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