👋 Hey friends, TGIF!

A few weeks ago, I was talking to a marketing director who had just wrapped her team’s best campaign of the year.

Conversions? Up 2.5x.
Costs? Down 40%.
The CEO even sent a company-wide “incredible work!” email.

And then she told me something that caught me off guard.

“I’m happy,” she said, “but I’m not sure I deserve the praise.
ChatGPT wrote most of the copy, Midjourney generated the visuals, and our automation flow scheduled everything.
My biggest job was... orchestrating.”

She wasn’t complaining. She was reflecting — and her words stuck with me.

Because beneath the surface of that single sentence lies a question every professional I know is quietly wrestling with:
If the algorithm did the heavy lifting, what does it mean to contribute?

This isn’t just about automation. It’s about identity.
For decades, our workplaces rewarded effort — how long we stayed online, how much we produced, how fast we delivered.
Now, the most impactful people often do the least visible work: designing prompts, refining outputs, or guiding models toward the right answers.

And our recognition systems?
They haven’t caught up yet.

We’ve built brilliant systems for producing value — but not for crediting it.

So, in today’s edition, we’re diving deep into this shift — not as a philosophical question, but as a practical management challenge.

We’ll explore:
✅ Why traditional metrics are breaking down in AI-driven workplaces.
✅ A new 3C Framework for measuring contribution when humans and machines share the work.
✅ Playbooks for leaders to recognize hybrid effort fairly — and keep people motivated.
✅ Real-world examples from companies like JPMorgan, Coca-Cola, and Mayo Clinic that are already rethinking how they give credit.

Because the future of work isn’t about replacing people — it’s about redesigning how we measure their impact.

So let’s unpack the new rules of recognition in the age of intelligent work — and why who gets the credit might be the most important leadership question of this decade.

— Naseema Perveen

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