WARC’s Future of Media 2026 report captures a truth the industry can no longer ignore: the established model for media planning is under strain. With nearly 80% of global ad spend now flowing into retail media, paid search and social platforms, traditional planning frameworks, built on stable channels, fixed personas and linear journeys,  appear increasingly misaligned with how media actually works today.

On this front, WARC is right.

But where the report frames these shifts as a necessary departure from “static” thinking, there may be another, equally important dynamic at play, one worth exploring alongside systems planning, not instead of it. As AI becomes embedded into every layer of marketing, from discovery and optimisation to creative generation and measurement, the industry is not only becoming more complex. It is becoming more abstract. And historically, when systems become abstract, people respond by seeking structure, legibility, and shared frames of meaning.

This is where “traditional” planning deserves a second look. Not as an outdated methodology clinging to relevance, but as a human response to an AI-saturated environment.
Static plans, rigid personas and stable channels are often criticised for oversimplifying reality. That critique is fair. But oversimplification is not always a flaw; sometimes it is a cognitive tool. In an ecosystem defined by constant recalculation, infinite segmentation and machine-led decision-making, fixed frameworks can offer something increasingly scarce: clarity. They help people think.

As AI systems operate dynamically in the background, marketers still need front-facing structures that allow them to align teams, articulate intent and make sense of complexity without drowning in it. Static plans don’t have to be accurate mirrors of reality to be useful, they need to be usable.

There’s also a cultural dimension worth considering. As generative AI floods platforms with content optimised for machines as much as for humans, perceptions of authenticity begin to shift.

“Traditional” channels, formats and planning logics start to signal something else entirely: human intention, commitment and realism.

Much like vinyl’s resurgence in the age of streaming, or the renewed appetite for long-form thinking in a scroll-dominated world, traditional media and planning frameworks may experience a parallel boom not despite AI, but because of it.
This doesn’t negate WARC’s call and suggestion around systems planning. If anything, it strengthens it.

Systems planning may well be the engine of modern marketing, adaptive, interconnected and AI-enabled. But traditional planning structures may remain the dashboard humans actually want to look at. The future, then, may not belong exclusively to planners who abandon traditional thinking in favour of total fluidity, nor to those who resist technological change outright. It may belong to those who understand that effectiveness now requires dual fluency: the ability to design intelligent systems and to create stable frames that people can believe in, work within and rally around.

WARC’s report opens an essential conversation about what comes next. This is not a rejection of that thinking , but an invitation to widen it. Because as AI accelerates, the question may not be whether traditional planning survives, the question should be : how, and why, humans continue to need it.