AI or Accountability? The Real Story Behind 2025’s Layoffs Is Bigger Than a Buzzword

By Bradley Keefer, CRO, Keen Decision Systems

Since January, the headlines have been relentless: thousands laid off across CPG giants and advertising agencies. P&G is cutting 7,000 roles. Estée Lauder is trimming up to 11 percent of its workforce. GroupM is restructuring nearly half of its U.S. headcount. Omnicom is paring down ahead of a proposed merger with IPG. The reasons vary, but one term keeps surfacing: AI.

However, it’s worth questioning whether AI is even ready enough to be the reason?

It is true that automation, generative tools, and predictive systems are beginning to reshape industries, advertising included. AI is starting to handle data collection, optimize audience targeting, and even generate copy, images, and video. In theory, a modern, AI-native marketing tech stack could consolidate execution, measurement, and optimization into a single intelligent system.

And yes, disruption is coming. My view is that AI will not just disrupt this industry. It will completely redefine it.

We are heading toward a future where a headless martech ecosystem, built on four to six interconnected platforms and orchestrated by AI agents, could run multi-billion-dollar campaigns with just two or three operators. That is not science fiction. It is a collision of systems design and machine capability. Imagine 300 people across a handful of agile tech companies powering an entire sector. That is where this is going.

But let’s be clear. We are not there yet. The technology is still early. The integrations are fragile. Most organizations do not have the infrastructure, the talent, or the governance in place to make AI scale in a meaningful way. So, when companies cite AI as the reason for sweeping layoffs in 2025, we should question whether they are pointing to a future reality to justify present inefficiency.

Because the truth is, many of these organizations are bloated, slow to move, and structured for a version of marketing that no longer exists. These restructurings might be necessary, but blaming AI is premature. It is not the villain here. It is the mirror.

And if you think the current layoffs are extreme, just wait. Over the next one to two years, we will see what true workforce disruption looks like. Once AI becomes truly interoperable, self-regulating, and scalable, the transformation will be far more sweeping than what we are seeing now.

This is not just about technology. It is about readiness. And right now, too many companies are unprepared for the disruption that is coming or for the accountability it demands.