TL; DR
- Gartner just dropped generative AI into the “Trough of Disappointment,” and The Atlantic is calling an AI bubble.
- The problem isn’t the tech—it’s bad strategy: too many disconnected pilots, no discipline, no outcomes.
- The PESO Model© isn’t a checklist—it’s an operating system that makes AI purposeful, measurable, and tied to business outcomes.
- Use PESO to:
- Choose outcomes before tools
- Integrate AI across Paid, Earned, Shared, and Owned
- Engineer trust signals for both humans and machines
- Mitigate risks and measure what matters
- The AI bubble will pop. The PESO Model is how you make sure your organization doesn’t go down with it.
Avoid AI Bubble Burnout
Gartner just dropped generative AI into the “Trough of Disappointment” in their Hype Cycle. The Atlantic is warning of an imminent crash. And if you’re a CMO who’s been running disconnected AI pilots hoping for magic, you’re about to become collateral damage.
But here’s what the doomsayers miss: bubbles don’t kill technology—they kill bad strategy. And that’s where your opportunity lies.
A bubble burst doesn’t mean the underlying technology is worthless. The internet didn’t vanish when the dot-com bubble popped. Amazon didn’t vanish when Pets.com did.
What bubbles expose is the lack of discipline: too many leaders chasing tools instead of systems, gimmicks instead of strategy.
The same risk is facing CMOs today. Gartner says that rushing into AI without a framework is like handing a rookie chef the keys to a five-star kitchen and expecting Michelin-starred results.
You don’t get brilliance from expensive gadgets—you get chaos, wasted budgets, and maybe a kitchen fire.
The good news?
The AI bubble isn’t inevitable inside your organization. With the PESO Model© as your operating system, you can separate hype from durable value.
Rookie Chefs, Bubbles, and Why CMOs Get Burned
The Gartner rookie chef metaphor is spot on because it captures exactly what happens in most organizations when shiny tech arrives.
Leadership buys the fancy new equipment, dumps it on the counter, and assumes magic will follow. Instead, you get half-baked entrées, burned soufflés, and a staff ready to mutiny.
That’s what the AI bubble looks like inside companies: dozens of disconnected pilots, teams scrambling to figure out how to use tools without training or guardrails, and executives wondering why all that spend hasn’t translated into more productivity, decreased costs, or increased market share or pipeline.
We’ve seen this movie before. During the dot-com boom, everyone rushed to “get on the internet” with no plan. Crypto promised to upend finance, then collapsed under the weight of scams and speculation. NFTs were going to “redefine ownership,” until most of them became worthless JPEGs.
The lesson?
The technology doesn’t disappear. It matures. But the bubble pops when organizations mistake experimentation for execution. CMOs get burned when they treat AI like a collection of gadgets instead of embedding it into a system that connects directly to business outcomes.
Most CMOs are trying to serve a seven-course meal when they haven’t even mastered the appetizer.
And that’s where the PESO Model operating system comes in—not as another gadget in the kitchen, but as the recipe and workflow that keeps the whole team aligned, measured, and producing something people actually want to consume.
The PESO Model Prevents Bubble Thinking
If AI is the shiny kitchen gadget, the PESO Model is the cookbook, the menu, and the line cooks all working in sync. Without it, you’re just tossing random ingredients in a pan and hoping it turns into fine dining.
It won’t.
The PESO Model was never meant to be a checklist. It’s an operating system—one that aligns channels, integrates workflows, and measures outcomes across paid, earned, shared, and owned media.
And in the AI era, that discipline is exactly what keeps you out of bubble trouble.
This is because it forces focus on business outcomes. Instead of “let’s try AI because everyone else is,” you ask, “how does AI help us grow pipeline, build preference, or accelerate the customer journey?”
It also integrates, not isolates. AI isn’t just a one-off pilot in marketing ops or comms. With PESO, AI sits inside the system—helping owned content build authority, improving earned monitoring, amplifying shared visibility, and making paid targeting smarter.
And it creates a common language for executives. You’re not reporting “number of AI experiments run.” You’re reporting visibility signals, branded search lift, domain authority gains, or share of voice improvements—the kinds of outcomes your senior leadership team actually cares about.
AI doesn’t become the star of the show. The PESO Model does. AI is just another ingredient in the recipe that makes the meal faster, tastier, and more scalable when used with intention.
How the PESO Model De-Bubbles AI
So how does a CMO keep AI from becoming just another shiny gadget that ends up in the junk drawer?
By running it through the PESO filter.
Pick Outcomes, Not Tools
Don’t start with “we need an AI strategy.”
Start with “we need to increase branded search by 20%” or “we need to improve message pull-through in earned media by 15%.”
Then—and only then—ask where AI accelerates that outcome.
Integrate Across Channels
AI should never live in a silo. Think about how it fuels each part of the PESO ecosystem:
- Owned: Use AI to analyze your top 100 performing pieces and create a content DNA blueprint that fuels your authority ecosystem and generative search citations.
- Earned: Deploy AI to track journalist coverage patterns—when they write about your category, what sources they cite, what angles they take—and adjust pitches accordingly.
- Shared: Let AI map the micro-communities where conversations spark, then amplify selectively instead of blasting content everywhere.
- Paid: Apply AI to dynamic creative testing and budget reallocation so dollars flow to the channels that actually convert.
Engineer Trust Signals
Machine customers are coming. A couple of weeks ago, we discussed preparing for them by creating your AI brand personas.
If you haven’t started that work, now is the time because AI already decides what gets visibility, and Gartner predicts that within 3–5 years, buying decisions will increasingly be automated by AI on behalf of both consumers and businesses.
That means today’s job is to build trust signals that humans recognize—expert voices, credible citations, and consistent brand mentions.
Tomorrow’s job is making sure machines recognize them, too.
Generative engines already “read” branded search volume, backlink authority, and consistency of earned mentions.
Those trust signals will matter even more when your next buyer isn’t a human, but an algorithm making the shortlist.
The PESO Model ensures your content, mentions, and signals appear consistently so that both humans and machines see your brand as credible.
If you wait until machine customers are mainstream to start building these signals, it’ll be too late—you’ll already be off the shortlist.
Start now by auditing your digital footprint through an AI’s eyes: Ask ChatGPT, Perplexity, and Claude about your brand right now.
Screenshot the responses. That’s your baseline.
Mitigate Risks Before They Burn You
Of course, building for the future doesn’t mean ignoring today’s pitfalls.
AI hallucinations, copyright issues, compliance missteps, “we didn’t see the results we expected”—these are all bubble behaviors.
The PESO Model mitigates them because every AI use case is tied to strategy, governed by process, and measured against business KPIs.
Shift the Metrics Conversation
If your AI report to the CEO sounds like “we ran 12 pilots and generated 300 prompts,” congratulations—you’ve just described busywork.
Tie AI back to visibility, pipeline, market share, or preference. That’s the language of the boardroom. That’s how you make sure AI doesn’t get written off as hype.
Think about KPIs like:
- AI-accelerated share of voice, which is the percentage of media mentions where both humans and AI summaries carry through your key messages.
- AI-driven content efficiency, which is the cost per visibility signal (backlinks, citations, branded search lift) compared to your pre-AI baseline.
What PESO Model Success Looks Like
On the left, we have bubble failure.
AI is scattered across the organization—one pilot in customer service, one in marketing ops, one in HR.
None of them talks to each other. Teams are exhausted. The CFO is side-eyeing the budget. The CEO is wondering why “all this AI” hasn’t moved the needle on revenue.
Six months later, the pilots are quietly sunsetted, morale dips, and the organization chalks AI up as another overhyped fad.
And on the right, we have PESO success with AI baked in!
AI isn’t the star of the show—it’s the sous-chef, accelerating specific outcomes.
Owned content gets cited in generative search results. Earned coverage is tracked and tied back to business results. Paid spend is more efficient. Shared media sparks bigger conversations.
The CMO can walk into the executive meeting and say, “Here’s how AI helped us grow branded search by 22% and shorten our sales cycle by three weeks.”
The difference is discipline. Without PESO, AI is a bunch of disconnected gadgets cluttering up the kitchen.
PESO Model Example
Last quarter, one of our clients used PESO to guide their AI implementation.
Instead of 12 scattered pilots, they focused on three outcomes: increasing earned media pull-through, improving content citation rates, and reducing paid acquisition costs.
The result?
A 34% improvement in message consistency across channels and a 22% reduction in cost per qualified lead—all in 90 days.
With PESO, AI is integrated into the recipe—making the whole system faster, stronger, and more sustainable.
But What About Speed?
“We need to move fast on AI!” your CEO says.
Yes. Move fast. But moving fast without direction isn’t speed—it’s just expensive chaos. PESO gives you velocity, not just motion.
Here’s a quick readiness test:
- If you can’t name the three business outcomes your AI pilots target, you’re in bubble territory.
- If your AI initiatives aren’t connected across departments, you’re building a house of cards.
- If you’re measuring prompts instead of pipeline, you’re cooking with the wrong recipe.
Fix one of these this week. Then fix the next. That’s how you build bubble immunity.
The Bubble Will Pop—But You Don’t Have To
Yes, the AI bubble will pop. It always does.
The headlines will shift from breathless hype to “we tried it and it didn’t work.”
Budgets will get slashed. The rookie chefs will set off the smoke alarm and abandon the kitchen.
But that doesn’t have to be your story. Gartner predicts the trough will last 12-18 months. The companies that act now will emerge as the leaders when the real AI revolution begins. They’ll be the ones who had a system to make those tools matter.
The PESO Model is that system. Start building it today—or start writing your post-mortem tomorrow.
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