AI Adoption Is Three Problems, Not One


Hi Reader!

I’ve been thinking about one thing lately: why AI rollouts are stumbling and failing. Why people are not using it, and when they are, why the results are less than satisfactory. The reason is that leaders are treating AI adoption as one challenge when there are actually three.

Let me explain.

When I work with organizations to build human-AI collaboration, I see the same pattern. There are three completely separate things happening at once:

How people feel about AI. How they think with AI. How they work together with AI.

And almost no one deliberately addresses all three.

That’s why you get this strange mix inside organizations right now. Some people are excited, some are quietly anxious, some are using AI for everything, some are avoiding it entirely. And leadership is wondering why the momentum isn’t building.

It’s not one problem. It’s three. And they need three different conversations.

I wrote about the first one — the feelings layer — in my latest Forbes Coaches Council article. It’s a story from a company where three completely different fears were running in parallel across the organization. Nobody was naming them. Nobody was connecting them. And nothing was moving as a result.

Read it here. It’s the first in a series — the next two will go deeper into the thinking and collaboration layers.

Speaking of which — I'm taking this to a stage in Prague

At the end of May, I’ll be at WebExpo 2026, May 27–29. My session — Partnering with AI: Building Future-Ready Teams — is about exactly this: how to design human-AI collaboration that actually works — not just roll out a tool and hope people figure it out.

Case studies, practical frameworks, and the three human capabilities that make the difference between AI lifting performance and quietly eroding it.

If you’re going, use the speakers’ promo code to save €40 at registration.

And if Prague isn’t happening for you — join me on May 20th.

I’m running a dry run of Partnering with AI: Building Future-Ready Teams on Zoom — just for newsletter subscribers. You’ll hear the full presentation before it goes to Prague, and we’ll have time for Q&A at the end.

If you want to share this with someone, please pass it only to people you know personally. This is meant to stay small and close.

I’d love to see you there.

One more thing — I was recently a guest on the Leading Visionaries podcast with Anjel B. Hartwell. We talked about what makes teams genuinely self-sufficient versus stuck in dependency on the leader, and why clarity is almost always the missing piece. If that’s something you’re thinking about, give it a listen.

See you next week — and hopefully on May 20th.

Daria


P.S. If you're going to be in Prague May 27–29 — hit reply and let's find each other. I'd love to meet in person.

Check out more of our work at...

Linkedin

Connect

Youtube

Subscribe

My book

Read

If you want to get in touch, hit REPLY.

I'm happy to help!

600 1st Ave, Ste 330 PMB 92768, Seattle, WA 98104-2246
Unsubscribe · Preferences

Meaning Makers

A no-nonsense newsletter for busy leaders who are done with overwork and ready to scale smarter. Join a community of 15K+ leaders and followers across platforms getting concise, actionable insights on leadership, team building, and how to use AI and hybrid intelligence to make work easier—so you can earn more, go home earlier, and lead with purpose without burning out.

Read more from Meaning Makers

Hi Reader, Today, I want to tell you about the AI learning paradox. I've been noticing it lately, and you might have seen that as well. The people who are most worried about AI (the ones convinced it's coming for their jobs) are usually the last ones to learn it. You'd think it would go the other way. If you're afraid AI might replace you, the smart move is to get good at it. To make yourself the person who uses it well, not the person it makes redundant. But that's not what happens. The fear...

Hi Reader, Last week I was presenting at WebExpo in Prague — talking about the good and bad of human–AI collaboration. After my talk, one of the attendees came up to me and asked: "How do I know if my team is using AI in the right way?" It's an interesting question because, as I've written before, there is a right and a wrong way of using AI. Research suggests that when AI comes first — when people receive a summary, a draft, or an insight before doing their own thinking — their brains...

Hi Reader! Daria's here Last week, a client told me she had 14 meetings in a single day. By the time she finished walking me through the list, I could feel the weight of it. Client calls, one-on-ones, project updates — all back to back, with no time for coffee (or anything else, to be honest) in between. It's a familiar scene for most leaders I know. And I'm no better, I've had that picture as well. Our calendars are packed. We move from meeting to meeting, from decision to decision, without...