AI should be used to augment human potential. Unfortunately, some companies are already using it as a convenient scapegoat to cut people.

This week on Future-Focused, I dig into the recent Accenture story that grabbed headlines for all the wrong reasons. 11,000 people exited because they “couldn’t be reskilled for AI.” However, that’s not the real story. First of all, this isn’t what’s going to happen; it already did. And now, it’s being reframed as a future-focused strategy to make Wall Street feel comfortable.

This episode breaks down two uncomfortable truths that most people are missing and lays out three leadership disciplines every executive should learn before they repeat the same mistake.

I’ll explore how this whole situation isn’t really about an AI reskilling failure at all, why AI didn’t pick the losers (margins did), and what it takes to rebuild trust and long-term talent gravity in a culture obsessed with short-term decisions.

If you care about leading with integrity in the age of AI, this one will hit close to home.

Oh, and if this conversation challenged your thinking or gave you something valuable, like, share, and subscribe. You can also support my work by buying me a coffee. And if your organization is wrestling with what responsible AI transformation actually looks like, this is exactly what I help executives navigate through my consulting work. Reach out if you’d like to talk more.

Chapters:

00:00 - The “Unreskillable” Headline That Shocked Everyone

00:58 - What Really Happened: The Retroactive Narrative

04:20 - Truth 1: Not Reskilling Failure—Utilization Math

10:47 - Truth 2: AI Didn’t Pick the Losers, Margins Did

17:35 - Leadership Discipline 1: Redeployment Horizon

21:46 - Leadership Discipline 2: Compounding Trust

26:12 - Leadership Discipline 3: Talent Gravity

31:04 - Closing Thoughts: Four Quarters vs. Four Years

#AIEthics #Leadership #FutureOfWork #BusinessStrategy #AccentureLayoffs

233. Engagement is Thinking with James Nottingham