THIS MONTH'S FIELD SIGNAL

The Layer Nobody Equipped 

Over the past few weeks, I've heard a version of the same concern from multiple leaders. It doesn't always surface as a clean problem statement. Sometimes it sounds like frustration. Sometimes it sounds like confusion. But the pattern is consistent.

AI is moving. Strategy is set. Tools are licensed. The executive team is aligned, or at least visible. And yet adoption is slow, uneven, and — when you look closely — consistently stalled at the same place: the manager layer.

Not the C-suite, where the energy often lives. Not the frontline teams, who are quietly experimenting on their own. The directors, team leads, and mid-level VPs who sit between leadership intent and daily team behavior: they're the ones carrying the weight of AI change without a clear brief on what to do with it.

What I'm hearing sounds like this: managers want to support AI adoption, but don't know whether they're supposed to be champions, coaches, gatekeepers, or reporters. They're fielding questions from their teams they don't have good answers to. They're absorbing fear they weren't given tools to address. And when the message from above is 'AI is going to change everything, get on board,' they're left to improvise in the gap between the vision and the daily reality.

This pattern is showing up now because most organizations are past the announcement phase. The first wave — mandate plus tool — has already happened. (If you've been reading along since issue 1, you'll recognize this territory.) What comes next requires sustained behavior change at the team level. That's managers' work. But only if managers know what they're supposed to be doing.

Here's the piece I think most senior leaders are missing: enthusiasm is not a narrative.

A CMO I spoke with recently was as energized about AI as anyone I've encountered this year: using it daily, seeing his team produce real results with it, genuinely excited about the possibilities. He talked about it with his team with real conviction. And yet when I asked what he would say to a manager who was worried about what AI meant for their role, his answer was intellectually sound but narratively thin. He had a case, but he didn't have a clear call to action.

A compelling AI narrative does more than explain why AI matters. It tells managers specifically what success looks like for their team, what their role is in getting there, and what the organization is (and, just as importantly, isn't) trying to accomplish. Without that, a leader's enthusiasm is just pressure. Managers feel it, but don't know what to do with it.

That's where AI adoption often gets stuck: not with resistant employees, and not with distracted executives. With the layer nobody equipped.

FROM THE FIELD

What Managers Are Holding 

Before I started consulting independently, I spent two years deep inside one of the largest organizational transformations I’ve been part of: a company-wide sales overhaul at Intel. The executive team had a clear mandate. Strategy existed. Tools were being rolled out across thousands of people. And yet, several months in, something wasn’t moving the way anyone had expected.

When we finally sat down with the manager layer, what we found wasn’t resistance. It was paralysis.

These were capable, experienced people: team leads and regional managers who understood the business and cared about their teams. But the transformation had been designed from the top and handed down. Nobody had asked them what they needed to make sense of it, let alone lead it. They were fielding questions from their direct reports they couldn’t answer. They were absorbing the anxiety of a change they hadn’t been equipped to explain.

One manager, when asked what guidance she’d been given for communicating the change to her team, paused. Then: “I’ve been telling people they need to change. But I don’t actually know what the end state of that change looks like yet.”

She wasn’t failing at her job. She was doing the only reasonable thing available: managing ambiguity by going along as best she could. And her team was reading that uncertainty as a signal that the change either didn’t really matter, or was going to impact them negatively.

That experience is part of why, when I hear leaders today talk about their AI rollouts, I listen for the manager layer first.

QUESTIONS FROM THE TRAIL

Ask Yourself

Some prompts for reflection, or to bring to a staff conversation:

1. What do your managers currently believe their role is in your AI adoption effort? Have you asked them directly — or are you assuming?

2. Where are your managers absorbing AI-related fear and uncertainty that they were never given tools to address?

3. If you had to articulate, in two sentences your managers could repeat to their teams, exactly what you need them to do to advance your AI goals — could you do it right now?

TOOLS FROM THE TRAIL

A Lightweight Manager Listening Pulse

This isn’t an endorsement, and a survey won’t solve the narrative gap I just described. But if you want to understand what your managers are carrying before you can address it, the tool I’d point you toward is SurveyMonkey Genius — specifically because of two AI features that make it more useful than a basic form builder for this kind of listening work.

First: as you draft your questions, SurveyMonkey Genius uses AI to flag biased or leading language in real time — the kind of subtle phrasing that can skew responses before you’ve even sent the survey. That matters here, because leaders often unconsciously frame manager listening questions in ways that invite reassurance rather than honesty.

Second: once you have responses, the “Analyze with AI” feature lets you query your results in plain language, asking things like “what themes come up most in the open-ended responses” or “where do answers differ across teams,” and get back instant summaries and charts instead of digging through data manually.

Two caveats worth naming: send the survey to managers only, not the whole org, and frame it explicitly as a listening exercise rather than an assessment. And if you use it but don’t follow up with a real conversation, you’ve made things worse. The value isn’t in the data — it’s in what you do with it.

ONE SMALL STEP

Navigating This Together

If you're sitting with the gap between your AI vision and your managers' ability to activate it, working alongside peers facing the same pressure can help. I'm running a Starboard Collectives cohort for senior leaders who need support translating AI strategy into real organizational change — including the work of equipping the people in the middle. Take a look if that sounds like where you are.

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