The PM Who Uses AI vs. The PM Who Doesn't: The Widening Productivity Gap

**Special thanks to [Productside](https://productside.com) for hosting!** AI adoption is creating a bimodal workforce - a minority of intensive users capturing most of the gains, while the majority captures almost none. Nowhere is this divide more consequential than in product management. Frequent AI users are saving over 9 hours a week. That's a full extra workday - every week. Yet most PMs are still using AI only for the basics: rewriting emails, summarizing docs, drafting a quick Slack message. The real leverage is elsewhere, and the gap between those who've found it and those who haven't is growing fast. This isn't a talk about which tools to buy. It's about developing the muscle to use and experiment with what you already have access to like free tiers, company-licensed tools, AI-native workflows, and turning them into a genuine productivity advantage. From synthesizing customer research to automating repetitive documentation, to building quick prototypes that make your strategy come alive in leadership meetings, Shriya will show you the moves that separate high-impact PMs from the rest. And here's the urgency: AI tools are evolving faster than most PM workflows are adapting. The PMs who build this rhythm now will scale with it. Those who wait will find the gap harder and harder to close. **You'll walk away with:** * A clear picture of where AI creates the most leverage in your PM workflow * A new way to think about prototyping as a strategic communication tool and why your next leadership meeting should have a live demo, not just a slide * Honest guardrails - where AI helps, where it doesn't, and how to stay in control * **One live skill demo** \- something you can open on your laptop tonight and put to work first thing tomorrow morning **This session is for you if:** * You've tried AI tools but aren't sure you're getting the most out of them * You want real examples from someone building and shipping products at scale * You're ready to stop treating AI as a novelty and start treating it as infrastructure **Agenda:** 6:00 - 6:30: Networking 6:30 - 7:30: Talk 7.30 - 8:00: Networking