allfeeds.ai

 

What Gets Measured  

What Gets Measured

Author: NinjaCat

Language: en

Genres: Business, Management, Marketing

Contact email: Get it

Feed URL: Get it

iTunes ID: Get it


Get all podcast data

Listen Now...

Why Skills Beat Tools in AI
Episode 102
Tuesday, 27 January, 2026

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

 

We also recommend:


The Knowledge Catalyst
Institute for Business Success

Digital Marketing Madness
John McDougall

PriceSpider Ecommerce Connected
PriceSpider

Straight Talk with Sally
Sally Sparks-Cousins

The Biz Growth Podcast
Cedric Potvin

Start, Scale, Learn Ecom
Andres Vasquez

"The Closing" with Corey Knight
Corey Knight

Hack Your Own PR
Odette Barry

Digital Marketing Talks
Siripong Teopipithporn

MIahuaventas
miahuaventas puntocom

Regenerative Business with Sam Garcia
Sam Garcia of Dirty Alchemy

Negocio Online em 24 Horas Marvim Click
Marcelo Alvim