The Mismatch Between AI Ambition & Workforce Readiness
Many organizations have big AI ambitions. Far fewer are investing with the same intensity in workforce readiness.
In this episode, Sondra Kiss speaks with Julianne Sobral, Chief People Officer at IQT, a strategic investor that identifies and accelerates cutting-edge technologies for national security. Julianne is a certified leadership coach and trusted advisor, with 20+ years leading people strategy, organizational transformation and executive development across sectors.
They unpack what “AI fluency” actually means, why fear blocks adoption, and what leaders can do to build trust, confidence, and real workflow change across a workforce with wildly different starting points.
What you will learn in this episode:
- A practical definition of AI fluency: using AI effectively, responsibly and confidently
- Why the AI conversation often starts from fear, not facts, and how leaders can reset the narrative
- How IQT approaches AI fluency as top-down, bottom-up, and peer-to-peer change
- How IQT built AI Learning Days to create space for adoption (not “one more thing” on a crowded plate)
- How to segment learning for different starting points; AI novice, AI curious, AI practitioners
- The biggest lessons from IQTs first learning day: adults want hands-on practice
- Why middle managers are the unlock for adoption (and why they are getting squeezed)
- Why data readiness is the foundation (and why “golden data sets” matter)
- Four under-discussed barriers: time, middle management, data, fear
- A simple leadership frame: trust, time and translation
Here are the links to access this podcast:
On Apple
On Spotify