Are we about to see AI chickens come home to roost?

Seemingly every team now has access to powerful tools, and every vendor has a ‘point of view’ with a set of case studies to match. But in 2026, these narratives will be tested – brutally.

We’re heading into a sink-or-swim moment for AI in marketing. The organizations that have truly invested, not just adopted, will pull away. The rest will discover that plugging in a tool is not the same as building positive habits.

Everywhere and inevitable?

The reality is that AI is rapidly commoditizing. Barriers to entry are low, the demos are impressive, and the market is saturated with promises. That’s exciting, but it means advantage is getting harder to buy off the shelf.

Unless organizations continuously invest in optimization, orchestration, and day-to-day application, the commercial impact many are hoping for simply won’t materialize. AI is not a one-off change. It needs long-term care: governance, training, measurement, and iteration.

That has consequences for the agencies and smaller firms that rushed to ‘embrace AI’ without the funding, capability, or discipline to evolve. Some will downsize. Others will close. Many will have to pivot quickly.

That’s the uncomfortable part. The upside is that a shakeout is also a clearing.

Less noise, clearer use cases

Eventually, the AI cacophony will fade. And as the hype cools, we’ll see a leveling-out of how, where, and why it’s actually used. From a marketing perspective, that’s a good thing. It becomes easier to navigate the landscape, easier to pick partners, and easier to separate real capability from superficial automation.

More importantly, we’ll get better at distinguishing the line between AI automation and true, human creativity – a line that’s become dangerously blurred.

A lot of what’s sold as ‘AI-driven personalization’ is really automation at scale: faster content, more variations, more outputs. That can be useful. But it doesn’t automatically mean better outcomes.

Technology can optimize signals. It can orchestrate journeys and improve performance.

What it can’t do is replace strategic judgment, cultural understanding, or creative intuition. Those things still come from people.

Human intelligence is irreplaceable

In 2026, I expect a rebalancing: creative insight, behavioral understanding, automation, and performance working more harmoniously. AI will sit where it belongs – as an enabler, not the lead actor.

That’s why, at Radish, our position is deliberately AI-enabled, not AI-led.

We act as a bridge, helping clients understand where AI genuinely adds speed, value, and commercial impact, and where human intelligence is irreplaceable.

That distinction matters because right now there’s a lot of AI talk, but not always the performance to back it up. Many brands are investing heavily without being clear on what ‘working’ looks like, how it’s being measured, or how customers experience it. Meanwhile, ethical, legal, and commercial considerations are colliding, leaving some teams frozen between ‘move fast’ and ‘don’t mess this up.’

It may still be too early to measure the full impact of today’s AI investments. The benefits and the trade-offs will reveal themselves over the next 12–24 months. But one thing is already clear: agencies and brands that treat AI as a shortcut, rather than a system, will feel the effects.

The winners in 2026 won’t be the ones shouting the loudest, or unleashing AI across every possible process. They’ll be the ones applying it with discipline, restraint, and intent, combining technology with brilliant minds to create work that moves people, not just metrics.

AI won’t save marketing, and it doesn’t signal the end of it either. Used properly, it can make marketing better. The question is, who will use it best?