AI tools are everywhere. Real adoption is scarce.
In this episode of What Gets Measured, Jake Sanders and Jessica Graeser sit down with Ben Tasker, AI Workforce Development Strategist and Senior AI Strategist at National Grid, to unpack why so many AI initiatives stall—and what actually makes them stick. Ben shares lessons from building applied AI programs across healthcare, higher education, and large enterprises, including what it takes to prepare thousands of people for AI-enabled work.
The conversation moves beyond tools into skills, systems thinking, trust, and learning cultures—and why AI strategy succeeds or fails at the human level.
If you're a marketer, analytics leader, or operator trying to turn AI experimentation into measurable performance, this conversation will change how you think about readiness, risk, and real impact.
SHOWPAGE: www.ninjacat.io/blog/wgm-podcast-why-skills-beat-tools-in-ai
🎧 Topics include:
Why AI adoption is a human problem
Skills vs. tools in AI strategy
Augmentation, not replacement, for marketing teams
Trust, learning, and AI at scale
Cutting through AI hype to real value
The future of AI recommendations and discoverability
