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WPP Cuts More Jobs: Advertising Enters Its Artificial Intelligence Age

WPP supprime encore des emplois : la publicite entre dans son age de l'intelligence

B-EMPIRE Magazine

On September 1, 2026, WPP gave global advertising a brutal signal: the agency giant, long a symbol of an empire built through acquisitions, creative networks and multinational budgets, is planning up to 1,000 additional job cuts by the end of the year, according to a Financial Times report relayed by Reuters. The number may look modest against the size of the group. It is not. It comes on top of roughly 11,000 jobs already removed since the beginning of 2025 and confirms a deeper mutation: in communications, artificial intelligence is no longer a promise of productivity. It has become a force reshaping organisational charts.

WPP is not an ordinary company in this story. For years, the group embodied the idea that scale was an absolute advantage: more countries, more agencies, more specialties, more data, more clients. But that model becomes heavy when brands demand campaigns that are faster, cheaper and more measurable, while generative tools can produce copy, images, creative variations, media plans and prototypes at a speed that classic structures struggle to absorb. The question is no longer simply how many people an agency employs. It becomes: which tasks still need to be human, which should be augmented, and which disappear altogether?

Cindy Rose’s management is giving a clear answer. In its February plan, WPP announced a simpler architecture built around four units: WPP Media, WPP Creative, WPP Production and WPP Enterprise Solutions, all connected by WPP Open, its artificial intelligence platform. The move carries an industrial ambition: to exit the old holding model made of silos, competing agencies and multiple internal cultures, and build a machine clients can understand more easily. When Ogilvy, VML and AKQA are brought closer together under WPP Creative, this is not just a branding exercise. It is a way of saying that creativity must become more shareable, more automated in its flows, and more connected to data and production.

The paradox is obvious. Advertising has spent years selling the story of digital transformation to other industries. It now has to apply that logic to itself, and the experience is painful. Large networks built their value on talent, departments and billable hours. Artificial intelligence attacks precisely those foundations: it makes certain versions, research tasks, linguistic adaptations, mock-ups and analyses less scarce. It does not automatically replace a strong idea, but it compresses everything that once surrounded the slow manufacture of that idea. For clients, this is an economy. For agencies, it is a business model crisis.

Reuters notes that WPP is also looking to sell non-core assets and reduce its property footprint. That real estate detail is more revealing than it may seem. An agency was also a place: floors full of creatives, studios, meeting rooms, campaign walls, a physical presence that reassured clients. In the age of artificial intelligence, prestige is moving toward the platform, the quality of data, access to rare talent and the ability to execute at scale without immobilising too much capital. Fewer offices, fewer layers, fewer frictions: the agency becomes more of an operating system than an address.

Competitive pressure makes the moment even sharper. WPP has lost major accounts to rivals, including Publicis, whose more integrated model has often been presented as better adapted to what brands now demand. In that context, the cuts are not only defensive. They are part of a positioning battle: showing investors that the group can recover margin, clients that it can accelerate, and teams that a new discipline is being imposed. The risk is that this discipline becomes permanent contraction, or that the technological promise is used to justify the loss of creative memory.

Because advertising cannot be optimised only. It lives from accidents, intuition, cultural tension, and sometimes brilliant bad faith, from human conversations that do not look like workflows. Artificial intelligence platforms can multiply routes, reduce production time and map audiences. They can also produce an elegant, fast and forgettable average. The real challenge for WPP will therefore be whether simplification liberates creativity or flattens it. A smaller agency can be more powerful; it can also become more cautious if every idea is filtered through productivity.

For luxury, music, sport and technology brands, this transformation will have visible consequences. Campaigns will probably become more personalised, more modular, more localised. A global launch will be able to produce dozens of variations almost in real time, adapted to platforms, cities, languages and communities. But that abundance will impose a new filter: in a world where everything can be generated, scarcity will come from art direction, taste and the decision not to publish everything. The best agencies will not be those that manufacture the most, but those that know why an idea deserves to exist.

The WPP case therefore becomes a warning for the entire creative economy. Artificial intelligence does not only remove tasks; it redistributes power between platforms, talent, clients and intermediaries. Groups capable of turning their complexity into an advantage will survive. Those that merely cut costs without rebuilding desirability may become invisible suppliers. The old advertising world promised campaigns. The new one promises cultural systems capable of learning, producing and adjusting. The question is whether, amid all that efficiency, enough room will remain for the spark that makes a brand truly reach someone.

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