Introduction

Roundtable: The AI Productivity Paradox: Why Some Teams Gain 30% While Others Lose 20%

Recap of key insights

Day 1

But here’s the uncomfortable truth: some engineering orgs are shipping 30% faster, while others are quietly watching velocity 

This is an unfiltered, small-group roundtable where engineering leaders compare what’s 

Turned AI copilots into meaningful productivity gains

Watched well-intentioned pilots backfire and burn engineering time

Learned how org design, culture, and process—not just tools—determine the outcomes

In a world moving this fast, no one has all the answers, but together, we’re figuring out what great engineering leadership looks like in the AI era.

Pull up a seat, compare notes with peers who’ve lived it, and leave with clarity on where to steer your team next.

Han Yuan

(Select all that apply)

1. Which AI tools is your team currently using?

2. Overall, how would you describe your team’s AI productivity impact so far?

Example: “Copilot cut our boilerplate API code time by half”

3. What’s ONE concrete win where AI genuinely helped?

4. What’s ONE thing that went worse than expected with AI tools?

5. How did your team adopt AI tools?

6. What guardrails, if any, do you have around AI usage?

7. If you could go back 6 months, what would you do differently?

Shaping the Conversation Together!

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Roundtable: The AI Productivity Paradox: Why Some Teams Gain 30% While Others Lose 20%

Agenda

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