🔬📊🤯👇 200 employees. 8 months. One finding no leader expected.
A quick note:
For the last year, you've been telling me what you like, what you don't, and what you want more of. I listened. Here's what I built. | The AI Advantage is your new Wednesday edition of The Artificially Intelligent Enterprise. One AI-powered business advantage per week — with a copy-paste Prompt of the Week, actionable insights, and the exact tools to put it all to work. | Take 30 seconds and fill out the survey below. Your answers shape what I cover first.
Thanks for the support. I hope you find this helpful. | -Mark | | THE AI ADVANTAGE | An MIT Media Lab study found that regular ChatGPT users showed the lowest brain engagement of any group tested — and underperformed peers at neural, linguistic, and behavioral levels. The kicker: the more they used it, the worse it got. If AI is intensifying your team's work and degrading their thinking, the case for intentional boundaries isn't optional — it's urgent. | AI isn't saving your team time — it's filling every second you freed up. | Harvard just proved what your team already suspects. A UC Berkeley study published in Harvard Business Review tracked 200 employees over eight months and found that AI tools didn't reduce workload — they intensified it. Faster pace, broader scope, longer hours. Workers did it to themselves — voluntarily. | Here's the number that should stop every leadership team cold: developers using AI were 19% slower while believing they were 20% faster. That's a 39-point perception gap between what your people feel and what's actually happening. And an Upwork survey found 77% of employees said AI actually increased their workload. | The researchers have a name for the fix: an "AI Practice." Not a policy. Not a playbook. A set of intentional norms — like work sequencing, built-in pauses, and human checkpoints — that prevent productivity tools from becoming burnout engines. The leaders who build this now will keep their best people. The rest will wonder why everyone's exhausted. | | TRY THIS NOW | Build your team's AI Practice in 10 minutes. | Open Claude or ChatGPT. Paste in your team's last week of AI-assisted output — meeting summaries, drafted emails, research briefs. Then use this week's Prompt of the Week below. Bring the output to your next team standup. Ask one question: "Are we using AI to do more — or to do better?" Set one AI boundary this week. Examples: "No AI-drafted emails after 6 PM." "All AI research gets 10 minutes of human review before sharing." One rule. Start there.
| | PROMPT OF THE WEEK | Copy this into Claude or ChatGPT. Paste your team's recent AI output. Get a burnout risk score in 60 seconds. | Review this AI-assisted output from my team's past week. For each item, flag: - Any tasks that expanded beyond the original scope - Any work completed outside normal business hours - Any deliverables where human judgment was replaced by AI-generated defaults - Any signs of context-switching overload or parallel AI threads Then rate our overall AI burnout risk from 1–10 and explain your reasoning. Recommend 3 specific boundaries we should set this week.
| | How did we do with this edition of the AIE? | |
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| | Forward this to your COO with one line: "We need to talk about this before Q2 planning." | P.S. I ran this prompt on my own calendar last week. The burnout score was a….never mind, it doesn't matter. I'm taking Friday off. | |
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