The concern behind scrutiny is always concentration of power: Martin Sorrell on CCI raids

“When it comes to AI, first it was ‘wow,’ then it became ‘how,’ and today, it’s ‘now’.” This is how Martin Sorrell chose to capture the speed at which generative artificial intelligence has moved from novelty to necessity in the world of advertising and marketing.

The Founder and Executive Chairman of S4 Capital, in a conversation with e4m, insists that AI is not just another tool in the marketing stack. It is already altering cost structures, creative production, and even the way organizations function. “This is the way the world is going,” he said. “There are ethical and cultural issues, yes, but the fact is, clients who embrace AI will be more competitive. Those who do not will fall behind.”

In a wide-ranging conversation, Sorrell unpacked the shifts reshaping advertising, the dominance of tech platforms, the flattening of hierarchies inside companies, regulatory headwinds in India, and why his firm’s merger with MSQ Partners signals a new phase of consolidation. 

Excerpts:

To start with India story, the CCI raids on major agency groups over alleged cartelisation have sent shockwaves. What is your read on the dynamics driving this?

Martin Sorrell: You describe it as alleged, but I hear mixed views. Some in the industry believe cartelisation was taking place, others are not certain. Regardless, the concern behind such scrutiny is always concentration of power. 

When I was at WPP, at one point we controlled around half of the Indian media market, so regulators naturally took notice. Globally, the trend is toward even greater concentration. The major platforms I mentioned earlier already account for half of all advertising, and with the capital intensity of AI, their share will likely rise further. 

Regulators face two challenges. First, it is very hard to keep up with the speed and scale of these companies. Second, there is a broader question of whether it is even desirable to have a fragmented landscape of many smaller firms. 

Strong technology companies are strategically important for both economic and defensive reasons. We see that in areas like Ukraine, where Starlink has been crucial, and in the growing use of drones in warfare. Large tech companies are increasingly like nation states, and they are here to stay.

Will these investigations lead to more transparency and competition in media buying, or push the business into more opaque territory?

Sorrell: I believe technology will drive greater transparency. Blockchain systems, in theory, can connect publishers and clients directly, removing unnecessary opacity. 

I remember when we launched S4, a company in Florida was already experimenting with this. Meanwhile, Google’s PMAX and Meta’s Advantage Plus platforms are moving toward end-to-end campaign creation, planning, and buying. If these systems deliver as promised, they will provide much more clarity in pricing and execution, and reduce the friction that exists today in areas like sports sponsorship or high-demand inventory. This could disrupt the traditional role of holding companies, which often rely on scale in media. 

At the same time, it could give independents an advantage, since clients will have clearer insight into value and outcomes. Publicis has thrived recently because of strong leadership, a focus on data and digital, and a powerful media business. Yet as technology advances, agencies will be forced to operate more openly. Ultimately, clients will benefit from a system that is fairer, more accountable, and more efficient than the current model.

Moving on, industry consolidation is accelerating. Will scale be the only survival factor, or can specialist independents still thrive?

Sorrell: The industry will polarize. It is similar to investment banking, where at one end you have the global giants like Goldman Sachs and JP Morgan, and at the other you have focused specialists such as Lazard or Rothschild. The middle ground is much harder to sustain. 

In advertising, digital is increasingly about brainpower rather than scale. Large groups like Omnicom and IPG argue that scale in media brings advantages, but I believe media planning and buying is shifting toward transparency, which reduces the value of scale. 

For example, clients in Japan still do not know the exact price of a television spot, which is absurd in today’s world. 

With AI and blockchain, pricing and transactions will inevitably become more transparent. That will push agencies toward models based on clear outputs, whether fees or commissions, rather than opaque margins. Independents with specialist expertise and agility will still have room to thrive, while large groups will compete through breadth and resources. The weakest position will be the mid-sized players without either scale or specialization.

You have seen multiple waves of disruption, from the rise of the internet to social media and now AI. How does this AI-led shift compare in scale and urgency?

Martin Sorrell: Well, it is probably as big as it gets and as fundamental as it gets. I am not sure that everybody gets it. Certainly clients are hesitant about it. But I think the macroeconomic pressures, tariffs on top of them, we can get into that as well, are going to put clients in the position where they have to do something about technological change in their organizations to improve efficiency.

But this ranks up with all of them. Basically change is driven by two forces, geographical and technological. When we started that in the mid-1980s through to when I left in 2018, the fundamental driving force is globalization. 

Theodore Levitt, the famous Harvard Business School marketing professor, who said consumers are going to consume everything in the same way everywhere in 1983 in the Harvard Business Review, over-egged it to the point to make the pudding, but the point was well made. That then morphed into the web in the late 1990s and smartphones and now AI.

So you have, in my life, Saatchi’s was driven by globalization, WPP was initially driven by globalization and then more by tech, and then S4 more by tech than globalization. Both forces are active, but the emphasis has changed over the 50 or so years that I have been involved in it.

AI is radically accelerating content creation. Is this a race to the bottom in quality, or does it free agencies to focus on higher-value creative and strategy?

Sorrell: The view that AI destroys creativity is pure bullshit. It enhances it. Our Puma commercial received criticism for being crude, yet within a few months generative technology advanced dramatically. Recent work with SC Johnson, Shell, GM, General Mills, and Amazon demonstrates how quickly tools such as Runway, Luma, Minimax, and VO3 have improved. 

Each new version delivers a significant leap in output quality. AI also changes the economics of advertising. A commercial that used to take four months and cost $2.5 million can now be produced in four weeks for $500,000. 

If agencies keep charging based on time, this is disruptive. If they focus on value, it is an opportunity. The challenge is shifting the model away from large teams and long timelines to smaller, highly skilled groups using data and technology to achieve stronger results. In a world overloaded with messages, success depends on blending human creativity with machine efficiency to produce relevant, personalized content that stands out.

Personalisation at scale is always mentioned with AI and other new tech. What is the next big unlock for truly individualized marketing that does not cross the privacy line?

Sorrell: In theory, nothing crosses the privacy line as long as consumers know what they are agreeing to. The issue is that most of the time they do not fully understand the implications, even people like me who are supposed to know this business. 

That creates a responsibility for companies to be clear and transparent. The next real development will be agents interacting directly with other agents. If I want sneakers, my personal agent will speak to the manufacturer’s agent, and a dispatch agent will arrange delivery. This could transform the roles of websites, advertising, and search since the current models are not designed for that environment. 

Clients must therefore focus on pushing as much accurate and accessible information online as possible. Machines will be scanning and analyzing data to make recommendations. The more information that is shared at scale, the better chance a brand has of being selected in automated decision-making. 

Dissemination of knowledge becomes critical, because in this world more visibility and clarity will always be better than less.

With Google and Meta embedding AI into their ecosystems, will traditional media shrink further, or can agencies stay indispensable?

Sorrell: Traditional media is shrinking, moving from 50 percent of the market just a few years ago to 30 percent today. By 2030, digital will likely make up 80 percent. The big four platforms already dominate: Google with $250 billion in revenue, Meta with $150 billion, Amazon with $60 billion, and TikTok with $40 billion. Together they generate half of the trillion-dollar ad market. Add Alibaba, Tencent, Microsoft, Apple, Snap, Pinterest, and X, and six or seven companies control most of the industry. 

Their investment in AI is immense, nearly half a trillion dollars annually, which will only increase their dominance. Agencies once described them as frenemies, but now they are closer to partners. 

Google’s PMAX and Meta’s Advantage Plus are already developing end-to-end planning and buying tools, where a single prompt can deliver a full campaign. 

Agencies must prove these systems work for clients and help them integrate effectively. CMOs may have fewer choices, which simplifies decisions, but agencies remain essential for accountability, validation, and strategy.

You have spoken about the horizontality of information. Can AI flatten hierarchies inside organizations, or will power still consolidate at the top? To what extent?

Sorrell: I think AI will flatten organizations significantly. The greatest barrier inside companies is politics. People build silos, protect information, and often focus on frustrating collective goals rather than advancing them. 

Aligning teams around corporate objectives is difficult, but AI changes the flow of knowledge. At NVIDIA, Jensen Huang has 51 direct reports, far beyond the usual consultant recommendation of 12. He gives them a few KPIs and tracks progress, while information is spread broadly across the company. In an AI-driven system, knowledge is accessible at all levels, reducing the ability to hoard it. 

Cooperation tends to increase lower down in organizations where people have to deliver results quickly, such as responding to a client request on a Friday evening. If they can instantly locate someone with a relevant solution, collaboration improves. 

The further up the hierarchy, the greater the tendency to control through information, and AI weakens that. This creates flatter, more transparent organizations. However, remote work has made many companies less productive. Collaboration and in-person interaction still matter deeply, and AI cannot fully replicate that human exchange of ideas.

CMOs are under intense pressure to do something with AI. How do they avoid gimmicks and drive meaningful transformation?

Sorrell: My advice is simple: Get on with it. AI is essential in a world where growth is hard to find and efficiency is critical. Economic pressures, tariffs, and geopolitics will force companies to adopt revolutionary change. 

Some CMOs focus mainly on personal visibility, while others, like Norm DeGreve at General Motors, concentrate on building the best analytical models to defend their companies against fierce competition from Chinese electric vehicle makers. 

Similar pressures exist in financial services, where digital-first challengers like Nubank can outperform traditional banks on agility and cost. The time for experimenting is over. Clients adopting AI are already seeing significant benefits in media investment and creative costs. 

Campaign production times have been cut from months to days, and costs slashed by more than half. Generative tools are improving rapidly, and they allow storytelling at scale, not just lower-funnel activation. Any company spending more than 10 percent of its media budget on creative should be rethinking. AI adoption must focus on measurable business impact, not gimmicks, because speed and efficiency are now competitive necessities.

Reports suggest S4 Capital is in merger talks with MSQ Partners. What strategic gap would that fill and how would it reshape the landscape?

Sorrell: No. To be clear, One Equity Partners, which owns about 70 percent of MSQ, approached us. We did not initiate anything. Because the approach leaked and we are listed, we had to make a reactive stock exchange announcement. 

MSQ management was not aligned or fully informed. That is why it emerged, and it was, quote unquote, accidental. 

Strategically, S4 already has three pillars, a strong content offer, a strong data and digital media offer that we call marketing services, and a technology services transformation offer. What I would like is more geographic depth and some additional scale. We are about one billion dollars of gross revenue and roughly five billion of billings, which is small beside GroupM at around sixty billion and Publicis or Omnicom near fifty five to sixty. 

Scale is useful, yet I believe brainpower will matter more than volume as transparency and automation grow. The mid market gets squeezed. In traditional media buying, scale still counts. In digital, integrated talent and speed will win. That is the lens through which we view any approach.

Lastly, if you had to bet on one AI-driven shift that will define the next decade of advertising, what would it be and how should brands prepare?

Sorrell: Democratization of knowledge. AI can make everyone in a company as informed as the people at the top. The problem in organizations is that understanding is isolated and often controlled to maintain silos. 

With AI, if people are inquisitive and prompt, they can access answers instantly and collaborate faster. I remember a Mexican institute client explaining how the web gave villages without libraries immediate access to knowledge. AI is that, inside every company. 

The benefits in visualization, personalization at scale, media planning and buying, and operational efficiency are all significant. Costs like an outside broadcast can be cut dramatically. 

Yet the greatest impact is making knowledge broadly available so decisions improve everywhere, not just in the C suite. 

Brands should prepare by structuring and releasing their information, internally and externally, so machines and people can find and use it. Build searchable repositories, set clear permissions, encourage prompting, and measure outcomes. More accurate information shared widely will raise performance.