The Crowd Is Booing AI. Here's Why That's Your Opportunity.

What the Booing Is Actually Telling Us

The public reaction to AI right now is not a single thing. It is at least three things layered on top of each other.

There is a small minority, and it is a small minority, of people who have a foundational, accurate understanding of what AI can and cannot do. They see the efficiencies, they are using the tools, and they are doing so without much fanfare. This group is in the single digits, percentage-wise, in the United States and likely in most of Europe as well.

Broader than that group are people who are using AI because their work requires it, not because they have a strong opinion either way. Neutral, pragmatic, going along with it.

And then there is the loudest group right now, the people who are philosophically opposed. And here is the thing worth understanding about that opposition: it is almost always built on a foundational misunderstanding of what AI is and how it works.

The most common version of that misunderstanding goes something like this: AI autonomously creates things without human input, stealing from creators and generating work on its own. That framing does not hold up. If an AI output resembles a particular visual style, it is because a human directed it toward that style. If a piece of writing sounds like a specific author, a human asked for that. The AI is a tool. A powerful, fast, increasingly capable tool, but a tool that requires human direction to produce anything specific.

What makes this particularly strange is the selective application of the standard. Designers, musicians, writers, and brand builders have given interviews for over a century about where they drew their inspiration, who they borrowed from, and how they lifted ideas and made them their own. That process is celebrated. When a human uses AI as the instrument for a similar process, the reaction is completely different. That inconsistency points to a knowledge gap, not a principled position.

What Savvy Brands Are About to Do

Here is the practical consequence of this moment, and it is already beginning to happen.

Brands and brand builders who understand AI, who have been using it to amplify their work and get better results, are going to stop talking about it publicly. Not because they are stopping their use of it. Because they do not want the drama.

The mention of AI has become a lightning rod. For brands that have real work to do and real clients to serve, drawing that kind of attention is not worth it. So the conversation goes quiet. The tools stay in use. The outputs keep coming. But the attribution disappears from public view.

This is not deceptive. It is the same thing that has always happened when a new tool enters a professional workflow. Nobody announces which software they used to design a logo or which platform powers their email list. The tool is part of the process. The work is what gets presented.

The Chasm That Is Opening Right Now

Here is where this gets serious for anyone making decisions about their brand’s direction.

When the brands that are using AI go quiet about it, the people who are opposed to AI will interpret that quiet as a victory. The booing worked. AI retreated. The human-made Renaissance is coming.

It is not coming.

What is actually happening is that the brands doing this work are simply going underground. They are continuing to build, automate, train models, produce content, and expand their search visibility, without narrating any of it. And the brands that don’t do this are going to be operating at five miles an hour while the ones that do are operating at a hundred and five.

Two years from now, three years from now, this gap will be visible in ways that are hard to ignore. Search visibility, output volume, content quality, brand consistency at scale. The brands that embraced this moment, quietly and methodically, will be front and center. The ones that didn’t will be asking what happened.

The students booing at commencement ceremonies right now are the ones this concerns most. The fear that AI is going to take the jobs they are supposed to be starting their careers in is understandable. But completely dismissing AI at the start of a career, in this particular moment, is the thing most likely to cause the outcome they are afraid of. The people getting left behind will not be the ones who used AI. They will be the ones who refused to learn it when they had the chance.

What to Do Right Now, Depending on Which Camp You Are In

If you have been skeptical or opposed to AI:

Put your head down for six months and learn. Set aside everything you think you know about it and start from the foundation: what AI actually can do, what it cannot do, and where the line is. Once you have that foundational understanding, figure out what it can do specifically for your work, your processes, your weekly and daily tasks. What can it take over? What can it assist with? What can it do faster and at greater scale than you can alone? Then start building those habits.

The window for catching up is not closed, but it is narrowing.

If you are ready to move forward:

The priority is training AI models on your specific brand, not on generic prompts that pull from the broad pool of everything an AI has ever been trained on. The difference in output quality between a model that knows your brand and one that doesn’t is significant. A Brand Experience Guide, produced through the Vibe, Tribe & Why® process, is the most efficient and effective way to give an AI model an accurate picture of your brand’s voice, audience, and purpose. Content produced from that foundation stays on brand from the first draft, doesn’t read like generic AI output, and is being rewarded by Google rather than penalized.

Brand Shepherd has one client whose AI model has been trained on a Brand Experience Guide for over a year. That brand now holds page-one Google placement for three tracked search phrases, dominates Google Maps, and appears in Google AI Overview. The experts who said AI-assisted content would be short-lived in search rankings have not been right, at least not here.

The Prediction

By the last two quarters of 2026, public conversation about AI usage among brands will have quieted significantly. Not because AI use is declining. Because the brands using it have decided the attention is not worth the noise.

When that happens, the gap between the brands that kept building and the ones that stepped back will start to become undeniable. The ones who win the argument will lose the race.

Don’t be on the wrong side of that.

Brand Shepherd guides brands to clarity and helps them thrive. New episodes of Field Notes drop weekly. To learn more about the Vibe, Tribe & Why® process and how Brand Shepherd trains AI models on brand documentation, visit brandshepherd.com.