AI fluency: The new product superpower
Helping product teams experiment, decide, and lead in the age of AI
Summary
Just a year ago, leaders were dabbling with AI curiosity: running experiments, watching demos, and asking “what could this mean for us?” Now executives and boards expect results!
Teams feel the squeeze: “Deliver 10x productivity!”, “Innovate faster!”, “Integrate AI everywhere!” Inside most organizations, it feels less like a rocket launch and more like turbulence: anxiety, uneven adoption, moments of brilliance followed by doubt.
In this guide, we spoke with product leaders from companies like Google, Spotify, Descript, and Lovable to understand how teams are really navigating this shift. What we found: anxiety is normal, roles are blurring, and the teams pulling ahead aren't the ones with the fanciest tools – they're the ones building AI fluency.
This guide will give you sharper language to discuss AI, help you ask better questions about how to use it and when, and leave you with action items to take back to your team.
What's inside 👀
Why AI fluency matters more than technical mastery – and what fluent teams actually look like
5 frameworks from product leaders for raising AI fluency across your organization
The anti-patterns to avoid – from tool tourism to automation theater to prompt gatekeeping
Practical tactics for leaders to create an environment where experimentation is safe and wins compound