Many organizations have adopted AI, but far fewer have changed how people work, trained them, or made it safe to experiment. That gap is what we call the 'AI Divide'.

In this week's episode of The Mindtools L&D Podcast, Ross D is joined by Dr Ana Voronkova from our Insights team and Rodrigo Bolaños, our Global AI Strategy Officer, to explore what return organizations can expect from their investment in AI, and what they need to do internally to maximize it.

We discuss:

• why the 'AI Divide' is about who can use AI well, not just who has access to it
• why at least 75% of the responsibility for building AI skills sits with employers
• what good AI training looks like, and why leaders should diagnose before they prescribe

Read the Mindtools Kineo analysis behind this episode, The AI Confidence Gap, which includes an AI Skills Readiness Calculator and the full methodology.

Ana cited KPMG's research modeling two futures for US AI adoption by 2030: Generative AI and economic growth: A new approach to measuring its potential impact.

Ross D contrasted two views of how AI will play out, including the paper AI as Normal Technology by Arvind Narayanan and Sayash Kapoor, which argues that the slow, messy spread of AI inside organizations will shape its impact.

In 'What I Learned this Week', Ross D shared the 99% Invisible episode Doktoro Esperanto, about L. L. Zamenhof, creator of Esperanto.

For more from Mindtools Kineo, visit our website mindtools-kineo.com. There, you'll find out how we can help your organization build AI skills, and how our Skills Practice scenarios help build human skills.

Connect with our speakers

If you'd like to share your thoughts on this episode, connect with us on LinkedIn:

• Ross Dickie
• Dr Ana Voronkova
• Rodrigo Bolaños