🤔 Dear Lewis, my team has AI brain fog. How do I help them think for themselves again?

In today's edition, a CEO grapples with the unintended consequences of introducing ChatGPT at work—leading to slower decisions, confusing deliverables, and a troubling case of AI brain fog.

Here we are again, my friends, back for another installment of Dear Lewis.

Today’s tale is about a CEO who handed his 200-person team a shiny new toy—ChatGPT—and watched the wheels fall off.

When he gave the greenlight for employees to use AI for everything last year, the results were promising at first. Productivity seemed to skyrocket. Emails got written faster. Reports practically wrote themselves. It was like handing everyone a personal assistant who never slept.

But by fall, the honeymoon was over.

“I don’t know what’s happening,” he told me in our first session. “It’s like the team forgot how to think. Decisions are taking forever. Deliverables are… weird. They look polished, but when you actually read them, they’re nonsense. And my leadership team keeps coming to me confused because ChatGPT is giving them conflicting advice.”

“Hmm,” I said, leaning back in my chair. “Sounds like your team has a case of AI Brain Fog.”

What Is AI Brain Fog?

Let’s talk about this insidious little phenomenon.

AI Brain Fog creeps in when people rely too much on tools like ChatGPT without critically evaluating the outputs. At first, it feels like a shortcut—AI makes everything faster, easier, smoother. But over time, it starts to erode clarity, confidence, and judgment. Here’s how it plays out:

1. Confusion: Employees trust ChatGPT’s answers, even when they’re conflicting or wrong, because it sounds so confident. This leaves them second-guessing themselves and spiraling into doubt.

2. Decision Paralysis: Instead of trusting their own expertise, people keep running back to ChatGPT for validation. This slows everything down because they’re stuck in a loop of indecision.

3. Low-Quality Deliverables: The AI outputs look polished on the surface, but they’re often nonsensical or shallow. Worse, employees don’t catch the mistakes because they’ve outsourced their critical thinking to the AI.

It’s like leaning on a GPS that sometimes takes you to the wrong destination. At first, you don’t notice because it’s saving you time. But then you end up in a cornfield instead of the airport, wondering why you stopped trusting your own sense of direction.

The CEO’s Dilemma

The CEO leaned forward. “So… it’s my fault? I gave them the greenlight to use ChatGPT. Did I break my team?”

“Not exactly,” I said. “You didn’t break them. But you might have skipped an important step: teaching them how to use it without losing themselves in the process.”

Here’s the thing: ChatGPT is an incredible tool, but it’s not a replacement for expertise, judgment, or creativity. It’s like giving your team calculators. Calculators are great, but if people stop understanding basic math, they’ll trust the calculator even when it spits out 2 + 2 = 5.

The CEO nodded. “So how do I fix this?”

That’s when I introduced him to the CLEAR framework.

The CLEAR Framework: How to Cure AI Brain Fog

If your team is drowning in AI Brain Fog, you don’t need to ban ChatGPT. You just need to teach them how to use it responsibly. Here’s how:

C: Cross-Check Everything

AI is a great assistant, but it’s not an oracle. Teach your team to verify ChatGPT’s outputs against trusted sources or their own expertise.

• Example: If ChatGPT suggests a strategy, ask, “Does this align with what we know?” or “What data supports this?”

L: Limit AI’s Role

Define where AI adds value and where it doesn’t. Use it for brainstorming, drafting, or summarizing—but reserve final decisions and deep analysis for human judgment.

• Example: “ChatGPT can help draft the report, but the team needs to refine the insights and double-check the numbers.”

E: Encourage Independent Thinking

Remind your team that they are the experts, not ChatGPT. Build their confidence by asking them to share their own perspectives before consulting the AI.

• Example: “What do you think is the best solution? Let’s use ChatGPT to test your ideas, not replace them.”

A: Audit Deliverables

Establish a review process to catch errors or nonsense in AI-assisted work. Make it clear that AI outputs are a starting point, not a final product.

• Example: “Before submitting anything, ask: Does this make sense to someone who wasn’t involved in creating it?”

R: Reinforce AI Literacy

Educate your team on how ChatGPT works, its limitations, and why it sometimes produces conflicting or fabricated answers.

• Example: “ChatGPT doesn’t ‘know’ anything—it predicts words based on patterns in its training data. That’s why it needs human oversight.”

The Twist: The CEO’s Revelation

Here’s the part that surprised the CEO—and maybe it’ll surprise you too.

As we worked through the CLEAR framework, he realized something: his team’s AI Brain Fog wasn’t just about ChatGPT. It was a mirror reflecting deeper issues in his company culture.

The over-reliance on AI? That was a symptom of a broader fear of making mistakes. The slower decision-making? It stemmed from a lack of psychological safety—people were afraid to trust their instincts. And the nonsensical deliverables? They pointed to a deeper issue: no one felt empowered to say, “This doesn’t make sense.”

“You know,” he said, “I thought this was about fixing how we use ChatGPT. But maybe it’s about fixing how we think as a team.”

Exactly.

The Lesson

AI Brain Fog isn’t just a tech problem—it’s a leadership problem. ChatGPT didn’t break the team; it just revealed the cracks.

The cure isn’t banning AI or blaming the tool. It’s teaching your team to trust themselves again, to think critically, and to use AI as a partner, not a crutch.

So if you’re noticing AI Brain Fog in your workplace, ask yourself: Is this really about the AI? Or is it about how we’re leading, empowering, and trusting our people?

Because at the end of the day, no AI can replace what makes your team great: their brains.

Keep striving for clarity,
Lewis C. Lin

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