Connect with Jill:

https://www.linkedin.com/in/jilldressen

https://www.kyndryl.com/us/en

https://podmatch.com/guestdetail/1775579614787917dfce1a580

Episode Summary
AI isn’t failing—companies are. More specifically, their people systems are. In this conversation, Jill Delgado breaks down why most AI transformations stall: not because of bad tools, but because organizations underestimate human resistance, overload their teams, and destroy trust during rollout. The result is predictable—fake adoption, shadow workflows, and zero real ROI.

Key Themes

AI replaces tasks, not jobs—but companies implement it like it replaces people
That mismatch is where most failure starts.
No time + no trust = guaranteed failure
You can’t mandate adoption while overloading people and expect anything real to happen.
Most AI adoption is performative
Teams use it just enough to say they are, while real work stays unchanged.
Middle management is the choke point
Strategy says “yes,” leadership decks say “go,” but execution quietly dies in the middle.
Disengagement is the real red flag
Negative feedback means people care. Silence means you’ve already lost them.

Notable Insights

“Time is investment—if you don’t give people time to learn AI, they won’t adopt it.”
“AI replaces tasks, not roles—so you have to map the work, not the job.”
Companies are cutting jobs for AI, then rehiring because they removed critical human capability
Employees don’t trust internal tools → they go external → loss of control + data risk
If AI output isn’t trusted, adoption collapses immediately

Frameworks

Adoption Path:
Clarity → Confidence → Commitment
Behavior Signal Model:
Invite → Attend → Engage → Sentiment
Cultural Buoyancy:
Not bouncing back—staying stable while everything keeps changing

Practical Takeaways

Start at the task level, not “AI strategy”
Remove fear before pushing adoption
Give protected time to experiment or expect zero uptake
Don’t position AI as cost-cutting if you want trust
Train people to question AI—not just use it
Fix your data before layering AI on top

Closing Line
AI transformation isn’t a technology problem. It’s a trust and behavior problem—and most organizations are structurally incapable of solving it the way they’re currently operating.

If you want next level: I can turn this into distribution assets (clips, hooks, titles that actually get picked up).