The Human Element: Understanding the Gap in AI Maturity
There is a specific statistic that demands our attention.
According to a 2025 Wavestone report, while an overwhelming 92% of companies are ramping up their financial commitments to AI, a mere 1% have actually achieved AI maturity.
This reveals a startling disparity: 92% are investing heavily, yet only 1% are seeing true results.
I've spent the last several months sitting with that gap. What's inside it, what creates it, and what it would actually take to close it. The more I dig into the research, and the more conversations I have with leaders and L&D professionals who are deep in this work right now, the more certain I am of one thing.
This is not a technology problem.
It never has been.
The organizations struggling to get real value from their AI investments aren't struggling because they chose the wrong platform, moved too slowly, or missed a training. They're struggling because of what sits underneath the technology. The human infrastructure. The thing that determines whether people show up to something new with curiosity and commitment, or with skepticism and quiet self-protection.
The World Economic Forum, McKinsey, and MIT research all point in the same direction: as AI scales, human skills don't become less important. They become the primary differentiator between organizations that see a real return and those that watch the money quietly disappear.
Gallup put a number on what it costs when the human side breaks down: $8.8 trillion annually in global productivity losses from disengagement. That number existed before AI. What AI has changed is this: when an engaged team adopts a new tool, they learn faster, catch the failure points earlier, and adapt when it doesn't perform the way the vendor promised. When a disengaged team adopts the same tool, they use it poorly, nobody speaks up about what's broken, and the organization loses months on lessons the documentation already warned them about.
Same technology. Wildly different outcomes. The difference is the human layer.
If I had to point to the single most consequential and most overlooked group in the organizational chart right now, it would be middle managers.
A 2025 High5Test study found that 71% of middle managers are experiencing burnout. That is the highest rate of any group in the workforce. Not entry-level employees. Not senior executives. The people in the middle, holding everything together, are the most burned-out people in the building.
Here's what makes that more than just alarming. Gallup research has consistently found that the manager accounts for approximately 70% of the variance in employee engagement across teams. Not strategy. Not culture initiatives. Not the benefits package. The manager.
So we've built an organizational model where the variable most responsible for whether people are engaged or checked out is also the population most likely to be running on empty.
And we keep being surprised when engagement hasn't moved.
Only 44% of managers report receiving the training their role actually requires. The people we've placed at the center of team culture, retention, and daily human experience are, in more than half of our organizations, doing the hardest job without the preparation the job demands.
When a manager is struggling, the default response is to treat it as a performance problem. But in most cases, nobody ever sat down with them and said: Here is how to have a performance conversation without destroying trust. Here is what to do when your best person tells you they're thinking about leaving. Here is how to hold a team's morale together during a quarter that isn't going the way anyone planned.
They figured it out on their own. Or they didn't. And the cost of that, either way, was shared by everyone around them.
This is not weakness. It is the predictable result of being asked to lead without the support and development needed for success.
Deloitte's 2025 research produced two findings that I think belong side by side, because together they tell a story most executive teams haven't fully absorbed.
Sixty-eight percent of C-suite executives admit that AI has already created divisions within their organizations. And 31% of U.S. knowledge workers are actively working against their company's AI initiatives.
Not disengaged. Not slow to adopt. Actively working against it.
Before we call that a training problem or a change management failure, I want to ask a different question. What did those employees watch happen the last time leadership introduced a major initiative? What did they learn, from actual experience, about whether their concerns would be heard? What do they believe, based on what they've lived inside that organization, about whether leadership keeps its promises to the people doing the work?
Resistance at that scale isn't a capability gap. It's a trust gap. And trust gaps are built over time, through years of leadership behavior in moments most executives don't remember, but employees absolutely do.
SHRM research puts a number on the other side of this: organizations with strong culture alignment produce 44.5% higher average revenue growth over three years compared to those without it. Culture is not the soft outcome you get to after the real strategy is settled. It is a measurable economic variable.
And the organizations winning on AI right now treated it as something foundational before the transformation ever began.
Gallup's 2025 data found that only 29% of employees trust their immediate manager. That number is down 17% since 2022.
In three years, during exactly the period when we've been asking people to take on the biggest shift in how work gets done in decades, trust in the person closest to that experience has dropped by nearly a fifth.
That is not a coincidence. That is a consequence.
When people are uncertain about the future and the leader directly above them isn't creating room for that uncertainty to exist safely, trust erodes. When managers are burned out and undertrained, they can't hold their team's anxiety because they are barely holding their own. When AI initiatives arrive from above without honest conversation about what they actually mean for real people doing real work, the gap widens.
Google's Project Aristotle, one of the most thorough internal studies of team performance ever conducted, found that the single greatest predictor of how well a team performs is psychological safety. Not talent or goal clarity or a technical skill. Whether people feel safe enough to raise concerns, admit they don't know something, and disagree openly.
Think about what that means right now. The teams that will get the most from AI are the ones where someone can say, "This isn't working" before it becomes a crisis. Where concerns about how a tool is being used can come up without fear. Where people feel safe enough to name the friction before it quietly grows into a failed initiative.
In low-trust environments, those concerns don't surface. They go underground. And the organization keeps moving forward on assumptions nobody is willing to challenge out loud.
Harvard Business Review's research on trust makes the business case plain: employees in high-trust organizations report 74% less stress, 50% higher productivity, and 76% higher engagement. That is not a marginal difference.
That is the difference between an organization that builds on its investments and one that keeps working against itself.
I work with executives who are leading AI transformation well, and I want to be honest about what actually sets them apart. It isn't a better communications strategy. It isn't a more sophisticated rollout.
They're honest about what they don't know. When a leader can stand in front of a room and say, "We believe this is the right direction, and we don't yet have the full picture of what it means for every role here," and have that land as trustworthy rather than alarming, something shifts. People can work with honesty. They can't work with reassurance they've stopped believing.
They invest in their managers, and they do it where people can see it. They understand that trust doesn't travel directly from senior leadership to the front line. It moves through managers. A leadership team with strong credibility and a manager layer running on empty will still produce the trust gap the data describes. The investment has to reach all the way through.
And they treat psychological safety as something concrete, not a cultural aspiration or a value on a poster, but a real condition that their people, and their AI investment, depend on. They protect it in the small moments, the ones that everyone is watching even when they think no one is.
None of this requires being a different kind of person. All of it requires deciding that these things are worth doing.
The Question Worth Sitting With
The organizations that look back on this decade as a turning point won't be the ones that moved fastest or invested the most in technology.
They'll be the ones who understand, soon enough, that transformation is a human challenge. And put their energy there accordingly.
That means looking honestly at your manager layer and asking what you've actually given them to work with. It means treating trust the way you treat revenue, as something worth measuring and protecting. It means investing in leadership development not as the thing you get to after the real priorities are handled, but as one of the real priorities.
The human infrastructure underneath your technology either multiplies what you've built or quietly absorbs it.
That has always been true. AI just makes it impossible to look away from.
Tara Powers is the CEO and founder of Powers Resource Center, a leadership development firm that helps organizations build stronger leaders and more connected cultures. She has spent more than 25 years working with executives, developing managers, and having the human conversations that determine whether organizations thrive or stall.
If something in this piece describes what your organization is living right now, Tara would love to hear from you. Visit powersresourcecenter.com to explore coaching, speaking, and leadership development programs.
Sources: Wavestone AI Maturity Report 2025 · Gallup State of the Global Workplace 2025 · High5Test Burnout in the Workplace Report 2025 · Deloitte AI Adoption and Workforce Sentiment Research 2025 · SHRM Culture Alignment and Revenue Growth Research · Harvard Business Review Trust in the Workplace Research · Google Project Aristotle · World Economic Forum Future of Jobs Report 2025.
