When Ogilvy Cuts 700 Roles and Horizon Calls It a Realignment, What Is AI Actually Doing to Advertising Agencies?
In June 2025, Ogilvy cut approximately 700 roles, roughly 5% of its global workforce. AI was cited alongside restructuring. In March 2026, Horizon Media announced 50 redundancies, with CEO Bill Koenigsberg calling it a “skills optimization effort and broader realignment” driven by AI. Forrester is forecasting a 15% reduction in agency headcount in 2026, following an 8% average reduction in 2025. The AI impact on advertising agencies has become unavoidable business news. The harder task is reading it accurately.
What AI Is Actually Changing at Agencies
Start with workflows where the evidence is clearest.
Media planning and buying has shifted the most. Tasks that once required hours of analyst time, including audience clustering, lookalike hypothesis generation, real-time budget optimisation, and report drafting, now run in minutes or in real time. Platforms like Bionic Ads have industrialised what used to be manual work. The output is not necessarily worse. In many cases it is faster and more consistent. But it requires fewer people to produce it.
Production pipelines have compressed. 3D design teams report 3-4x efficiency gains from AI in production workflows. When a team that once needed six people to deliver a campaign can now do the same work with four, headcount decisions follow.
Content and copy are the most visible battleground. Over 88% of marketers now use AI in daily roles, with more than half using it specifically for content optimisation. AI does not replace the strategic brief or the creative concept, but it has reduced the time required to iterate, localise, and produce at volume.
The adoption figures are not ambiguous. 87% of agencies are currently using or testing AI tools, and 79% plan to increase AI spending. Among decision-makers already using AI, 95% report time and cost savings, and 92% say generative AI improves service quality. These numbers reflect a workflow change that is already embedded, not one that is coming.
The Mixed Picture: Genuine Shift and Convenient Framing
The analysis needs to be more careful here.
When Ogilvy cut 700 roles in 2025, the announcement cited AI and restructuring together. It also coincided with the disbandment of Ogilvy’s DEI team and a broader strategic realignment under parent company WPP. WPP as a whole shed approximately 9,400 roles across 2025, reported a 5.4% like-for-like revenue decline, lost major accounts including Mars, Coca-Cola, and PayPal (all to Publicis), and was mid-CEO transition after Mark Read’s departure. Attributing those 700 Ogilvy cuts primarily to AI requires ignoring the rest of the story.
The Horizon Media situation is murkier on closer inspection. Fifty roles cut, AI explicitly named, but the company was also hiring for 100+ open positions simultaneously. That is a skills rotation, not a headcount reduction. Some roles made redundant were replaced by roles requiring different capabilities. That is structural change, but it is not the “AI eliminated jobs” narrative.
The broader cross-industry data confirms that AI-attributed displacement is happening at scale. Challenger Gray and Christmas tracked approximately 55,000 US job cuts attributed to AI across all industries in 2025, covering tech, finance, manufacturing, and more. It is not an advertising-specific figure and should not be read as one. The agency sector sits within a larger pattern of labour market adjustment.
What the data does not separate cleanly is how much agency job loss is caused by AI-driven productivity gains and how much is caused by client losses, revenue pressure, and consolidation using AI as a more palatable rationale. At WPP, it is almost certainly both. At a smaller agency laying off three people and announcing a “pivot to AI,” it might be neither.
What Forrester and Gartner Are Actually Measuring
The Forrester forecast of 15% agency job reduction in 2026 is worth taking seriously, but context matters. Forrester is measuring structural pressure from multiple directions: AI workflow changes, the acceleration of in-house agency capabilities, and a broader redistribution of marketing budgets.
The Gartner 2025 CMO Spend Survey adds granularity. Thirty-nine percent of CMOs plan to reduce labour costs and cut agency allocations. Twenty-two percent said generative AI has already enabled them to reduce their reliance on external agencies. On the other side of the same data set, two-thirds of respondents agreed that AI would free agencies to focus on more strategic work.
Those two findings coexist because they measure different things. AI is compressing the cost of execution. Clients paying agencies for execution-heavy work, report production, content at volume, media trafficking, have less reason to do so at the old rates. Clients who need strategic thinking and complex problem-solving have not lost that need. The agencies positioned around execution are under pressure. The ones positioned around judgment are not.
Advertiser Perceptions found that 52% of US agencies and marketers agreed AI will devalue the role agencies play in media planning and buying. Devalue relative to what? The pricing of that work was always based on time and labour. If AI compresses the time required, the old pricing model does not hold.
Meanwhile, Publicis added approximately 5,800 staff in 2025 while competitors shed thousands. It reported 5.6% organic growth and won 56% of all global new business billings tracked that year, crediting a seven-year head start on AI infrastructure built through its Marcel platform (launched 2017) and CoreAI platform (a 300 million euro investment announced in 2024). The divergence is the clearest case study available for what happens when an organisation treats AI as a strategic investment rather than a cost-reduction lever.
What Business Leaders Should Take From This
The AI impact on advertising agencies is real, but not uniform and not simple.
Agencies doing execution-heavy work at premium rates face a structural pricing challenge. 82% of ANA members now have in-house agencies, up from 42% in 2008, and 69% report cost savings of 6% or more. Some of what agencies once charged for has become a commodity.
The demand for strategic thinking and senior creative judgment has not evaporated. What has changed is that clients can now distinguish more clearly between execution and strategy, and are more reluctant to pay the old rates for work that AI can accelerate.
For businesses evaluating agency relationships, the question is not whether your agency uses AI. Most do. The question is whether they are using it to protect margins on work that should cost less, or deploying it to raise the quality of strategic output.
For agencies, the pressure is to be honest about where value actually lives in what they sell. The ones absorbing AI efficiency gains without passing any benefit on, or using the AI label to justify cuts that are about financial pressure, are adding noise to a conversation that business owners are already struggling to read.
Avatar Studios works with businesses on AI integration, digital products, and growth strategy. If you are reassessing your agency stack or thinking about what to build in-house, you can see how we work at avatarstudios.com.au/services.