The End of the Hype?

AI is changing business, but not in the way the hype predicted

For the last two years, it felt like every conversation in business eventually landed in the same place: AI.

It was in boardrooms, headlines, keynote stages, sales pitches, LinkedIn posts, webinars, podcasts, investor decks, and breathless predictions about who would dominate, who would disappear, and which industries were supposedly about to be wiped out overnight.

That phase is ending.

Not because AI was fake. Not because it failed. And certainly not because it will not change how we work. It will. Deeply. Permanently. In some cases, dramatically.

But the conversation is becoming more grounded. The temperature is dropping. And that is a good thing.

What we are starting to see now is something far more useful than hype: normalization.

That matters because nearly every transformational technology follows a similar pattern. First comes disbelief. Then inflated expectations. Then anxiety. Then adoption. Then, eventually, reality. The tractor changed agriculture. The calculator changed mathematics. The computer chip changed nearly every industry on earth. The internet changed communication, commerce, and culture. None of these technologies were minor. All of them reshaped the world.

But none of them eliminated the need for human judgment.

What they did do was shift where human value lived.

The tractor did not remove the need for farmers. It changed what productive farming looked like. The calculator did not eliminate the need to understand math. It reduced manual effort and increased speed. The computer did not end business decision making. It expanded access to information and raised expectations for accuracy, pace, and scale.

AI belongs in that category.

Yes, it is moving faster than those previous shifts. Yes, its implications are wider. Yes, its impact will be substantial across operations, service delivery, analysis, content, software, and customer experience. But no, it is not simply vaporizing entire sectors in a single sweep. That framing was always too lazy.

Business leaders are starting to recognize that.

The early stage of AI adoption was often driven by fear. Fear of missing out. Fear of being left behind. Fear that a competitor using AI would somehow leapfrog everyone else overnight. That fear fueled experimentation, which was useful. It also fueled a lot of noise, which was not.

Suddenly every company was “AI-powered.” Every tool had an AI layer. Every agency deck had a slide about AI transformation. Every vendor promised productivity gains, better personalization, smarter automation, faster insights, and lower costs.

Some of that was real.

A lot of it was packaging.

Now the questions are getting better. Not “How do we say we use AI?” but “Where does it actually create value?” Not “How do we automate everything?” but “What should remain human?” Not “Can AI make more content?” but “Will that content actually matter?”

That is where the conversation becomes useful, especially in marketing.

Because more output does not equal more impact.

In fact, one of the biggest risks in this next phase is volume without value. As content becomes easier to produce, it becomes harder to differentiate. When everyone can generate blogs, emails, social posts, ad copy, and visual assets at scale, the market does not automatically get better. It gets busier, louder and cluttered.

And clutter is not a strategy.

This is the part many businesses are only now beginning to understand. AI can absolutely help teams move faster. It can improve workflows, accelerate drafting, support ideation, identify patterns, summarize research, organize information, and remove low value manual effort. Those are meaningful gains. They should not be dismissed.

But if every brand uses the same tools, the same prompts, the same shortcuts, and the same recycled language patterns, then the market does not get better. It gets flatter.

That is the race to the bottom.

When differentiation erodes, trust becomes even more important. Voice becomes more important. Judgment becomes more important. Experience becomes more important. Strategic thinking becomes more important. So does taste, which is harder to define but easy to spot when it is missing.

People still trust people.

They trust expertise. They trust accountability. They trust context. They trust the human ability to read nuance, understand consequences, see around corners, and make decisions that are not just technically correct but commercially and relationally sound.

That is not nostalgia. That is reality.

No serious client wants their brand handed over to an autopilot system with no oversight, no standards, and no strategic filter. No strong organization wants to build its market presence on generic messaging that sounds like everybody else. No leadership team should confuse speed with quality or automation with wisdom.

The businesses that win in this next phase will not be the ones that use AI the loudest. They will be the ones that use it best.

That means applying it with discipline. Automating repetitive work where it creates efficiency. Using it to support teams, sharpen thinking, and improve execution. But also knowing where originality, judgment, and trust still need a human lead.

At 6P, that is how we see the shift. We think that is where the conversation should be heading now. Away from theatre. Away from inflated claims. Away from panic. Toward practical integration.

The hype cycle was always going to cool. It had to. Markets cannot operate indefinitely on exaggerated forecasts and abstract disruption language. At some point, leaders need results. They need judgment. They need real application. They need to know what changes, what stays the same, and where human value becomes even more essential.

We are entering that phase now.

And that is probably the best thing that could happen.

Because when the noise fades, the real work begins.

The opportunity now is not to flood the market with more content. It is to use better tools to create better thinking, sharper strategy, and stronger brands. In a world where everyone can suddenly say more, the advantage still belongs to those who know how to say something worth hearing, and in the trusted places where people are most receptive.

So, is this the end of the hype?

Hopefully.

Not the end of AI. Not the end of change. Not the end of transformation.

Just the end of treating noise like wisdom and speed like strategy.

That would be progress.