AI tools for Product Managers that actually help
In this talk, Bart Jaworski cuts through the hype to focus on a simple question: Which AI tools genuinely make product managers better at their job and why?
Rather than showcasing flashy demos, Bart shares a practical framework for evaluating AI tools based on real PM workflows: discovery, synthesis, prioritization, communication, and decision-making. He explores where AI creates true leverage, where it quietly introduces risk, and where traditional methods still outperform automation.
You will learn:
- How to distinguish “AI theater” from tools that produce a durable impact
- The core categories of AI tools that consistently save PMs time
- Concrete examples of using AI for research synthesis, prototyping, documentation, and stakeholder communication
- Common failure modes: hallucinations, over-automation, and false confidence
A pragmatic adoption checklist you can apply to any new AI product
This is a talk for PMs who want to use AI as a force multiplier, not a crutch. You will leave with a clear mental model, a short list of high-value use cases, and the confidence to say no to tools that do not actually help.
