Hello relentless learner!
In this issue
We continue to explore the topic of AI in the workplace. This week we’re asking the questions: “Will AI change my work? How can I work with AI?”
According to Wharton School Professor Ethan Mollick, the author of Co-Intelligence: Living and Working with AI, a better question is:
“Who is directing that change — AI, or me?”
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😨 THE PAIN: How Can I Work with AI?
Your company ran an AI training in January. Your manager keeps saying “we need to AI-enable our workflows.” And yet nobody — not HR, not leadership, not any course — has told you something true and useful about how to actually work with it. So you’re improvising. Alone.
💡 THE TAKEAWAYS: What the Book Teaches
1 — AI is a coworker, not a tool — and that changes everything.
Mollick calls the result of genuine human-AI collaboration “co-intelligence” — something neither produces alone. You bring judgment, values, and context. AI brings speed, memory, and tireless creativity. But the output only exists if you show up as an active, questioning partner. Passive users get mediocre results.
2 — Four rules for building the relationship.
Invite AI to the table — experiment before you judge, because AI’s strengths are impossible to predict without trying. Stay the human in the loop — AI sounds authoritative even when it’s wrong; your critical eye is non-negotiable. Give AI a clear role — role + context + constraint produces far better output than a vague prompt. Assume this is the worst AI you’ll ever use — the skills you build now compound; waiting means always catching up.
3 — Choose your collaboration style: centaur or cyborg.
A centaur divides work cleanly — you own judgment and voice, AI handles speed and scale. A cyborg integrates fluidly — human and AI thinking woven together, back and forth, throughout the same task. Neither is better. Choosing consciously, depending on what the work demands, is itself a new professional skill.
⚡ ACTION: What You Can Do This Week
Map your jagged frontier. Write down three tasks that felt slow or draining this week. Pick one and hand it to AI — not to judge it yet, just to observe.
Run the prompt experiment. Try the same task with a vague prompt, then with a full role + context + constraint. Compare the outputs. The gap will teach you more than any tutorial.
Ask one closing question. After every AI interaction this week, ask it: “Where might this be wrong?” Write down what it says. Patterns will emerge.
⬇️ DOWNLOAD the FREE One-Page Book Takeaways
If you missed the previous issue about AI in the Workplace, click on the link below
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