I sat across from a VP of Operations not long ago, a sharp, driven leader who had just finished rolling out a company-wide AI implementation. The technology was solid. The investment was significant. Six months in, almost nothing had changed. Her team was still working the same way. Adoption was weak. The energy was flat.
She looked at me and said, “I don’t understand. We gave them the tools.”
She was right and wrong at the same time. She gave them the tools but never a reason to trust them. The managers closest to the work were not championing the change.
That conversation happened before the 2026 Gallup State of the Global Workplace Report landed on my desk. But the data confirmed everything I saw in that room. What organizations are experiencing right now is not an AI problem. It is a management problem that is quietly undermining AI adoption at scale. And AI, specifically, is making that problem impossible to ignore.
Previous workplace shifts were slow enough that weak management could absorb the friction without fully exposing itself. AI does not move that slowly. It asks people to change how they think, decide, and work in real time, and that kind of change requires managerial credibility. Right now, that credibility is in short supply. This is the human side of AI transformation. The organizations that win with AI will not be the ones that simply buy the best tools. They will be the ones whose leaders create trust, equip managers, reduce fear, and help people change how work actually gets done.
Key Takeaways
- Global employee engagement dropped to 20% in 2025, its lowest point since 2020, costing the world economy roughly $10 trillion in lost productivity.
- Manager engagement has fallen by nine points since 2022, and managers are now one of the biggest variables in whether AI adoption succeeds or stalls inside an organization.
- Employees whose managers actively champion AI are 8.7 times more likely to say AI has transformed how work gets done.
- The barrier to AI adoption is not just the technology. It is whether leaders and managers are equipped, trusted, and engaged enough to lead the human side of AI transformation.
The Numbers Deserve More Than a Headline
Global employee engagement dropped to 20% in 2025. That is the lowest level since 2020, and it marks the first time in Gallup’s measurement history that engagement has declined for two consecutive years. At its 2022 peak, engagement sat at 23%. Across a global workforce, that three-point slide represents roughly 63 million fewer engaged employees.
The economic consequence is not abstract. Low engagement cost the global economy roughly $10 trillion in lost productivity last year. That is approximately 9% of global GDP. This was not from a recession or a supply chain failure but from people who showed up less psychologically invested in their work, their team, and their employer.
But here is what the headline misses. Engagement today is still eight percentage points higher than when Gallup first measured it in 2009. The world’s workplaces have measurably improved over the long arc. This is not a collapse. It is a warning, and leaders who have been around long enough know what happens when major warnings go unanswered.
The Most Pressured Role in the Organization
The most important finding in this year’s report is not the global engagement number. It is what happened to managers.
Since 2022, manager engagement has dropped by nine points. The single largest year-over-year decline came between 2024 and 2025, when it fell five points in twelve months, from 27% to 22%. For decades, managers enjoyed what researchers called an engagement premium. They were more invested in their work than the people they led. That premium is gone. Managers are now only as engaged as the employees they are supposed to be energizing.
I have watched this happen up close. When I work with organizations navigating major change, the people carrying the most invisible weight are always the people managers in the middle. They are absorbing pressure from above, holding things together below, and wondering whether anyone is paying attention to them. Most of the time, no one is.
What makes this data particularly urgent is the emotional picture beneath the headline numbers. On paper, leaders appear to be doing better. In their day-to-day experience, many are not. Gallup found that leaders report stronger life evaluations than the people they lead, yet they also report more stress, more anger, more sadness, and more loneliness than individual contributors, by 7, 12, 11, and 10 percentage points respectively. That combination matters. It means organizations may be mistaking external competence for internal capacity. A manager can look fine from a distance and be running on empty from the inside.
That erosion is not inevitable. In best-practice organizations, 79% of managers are engaged, nearly four times the global average. The variable is not the person but the system surrounding them.
AI Is a Stress Test for Managerial Credibility and Leadership Trust
Here is where the 2026 report becomes most revealing. Despite roughly $40 billion in enterprise AI investment globally, a recent MIT study found that 95% of organizations have seen zero measurable impact on profits. An NBER survey of nearly 6,000 executives found that 89% report no effect of AI on their company’s labor productivity over the past three years. Among U.S. workers in AI-implemented organizations, only 12% strongly agree that AI has actually transformed how work gets done.
65% of those same workers say AI has had a positive impact on their personal productivity. So individuals are benefiting while organizations are not. The gains are staying at the individual level instead of scaling across the organization.
Organizations do not scale AI when individuals find it useful. They scale AI when managers make it usable, normal, and safe inside the current flow of work. Here is what the data actually shows. Aside from technical integration, the strongest predictor of whether employees will frequently use AI is whether their direct manager actively champions it. Gallup found that when employees strongly agree their manager actively supports their team’s use of AI, the odds shift dramatically. They are 8.7 times as likely to strongly agree AI has transformed how work gets done, and 7.4 times as likely to say AI gives them more opportunity to do what they do best every day.
And yet fewer than one in three U.S. employees in AI-implemented organizations strongly agree their manager actively supports their team’s AI use. In Germany, that figure is 21%.
This is where the stress test becomes real. AI is not just another change initiative a manager can quietly deprioritize. It is a live, daily test of whether a manager is trusted enough to lead people through uncertainty. When managers opt out, employees notice. They read that silence as hesitation, misalignment, or lack of conviction, and once that trust slips, adoption becomes much harder to recover.
Researchers at Stanford, Harvard Business School, and MIT found that management practices account for approximately 30% of the variation in total factor productivity. In an AI-accelerated environment, that number is almost certainly conservative.
What the Fear Data Tells Us About What People Need
As AI adoption accelerates across industries, 18% of U.S. employees say it is very or somewhat likely their job will be eliminated in the next five years due to automation or AI. In organizations where AI has been implemented, that number climbs to 23%. In finance, insurance, and technology, it reaches 31% to 32%.
Behind every one of those numbers is a real person with a real mortgage and a real family, watching their industry change and wondering if there is still a place for them in it. That fear deserves to be taken seriously. Leaders who name it honestly and equip people to grow through it build something rare: organizations where engagement holds even under pressure.
Gallup found that employees who feel they have genuine choice in the work they do are nearly 50% more likely to say it is a good time to find a job. That is a statistic about hope. People who feel invested in and developed do not just stay. They believe the future is worth something. That belief is shaped most directly at the manager level, even when the tone is set from the top.
The Human Side of AI Transformation
AI transformation does not become real when a company announces a new platform. It becomes real when people trust the direction, understand the purpose, believe they will be supported, and see their managers modeling the behavior expected of everyone else.
That is why AI adoption belongs on the leadership agenda, not just the technology roadmap. The work is not only implementation. It is communication, trust-building, manager enablement, culture-shaping, and execution discipline.
The Question Every Leader Needs to Answer
Before you ask whether your AI investment is working, ask whether your managers are equipped, trusted, and supported enough to lead people through change. Ask whether they are genuinely engaged, or simply going through the motions while running on empty in ways no one is measuring.
If the answer is no, the technology is not your first problem. It is simply the place where the problem is showing up.
The $10 trillion in lost productivity that Gallup identified is not an abstraction. It is the accumulated cost of organizations that underinvested in the human conditions that make change credible, sustainable, and real. In an AI-driven workplace, leadership is the difference between technology that gets properly implemented and transformation that actually takes hold.
Frequently Asked Questions
Why is AI adoption a leadership challenge?
AI adoption is a leadership challenge because it requires people to change how they think, decide, communicate, and work. Technology can create the opportunity, but leaders determine whether people trust the change enough to use it. Managers are especially important because they turn strategy into daily behavior.
What is the human side of AI transformation?
The human side of AI transformation is the trust, communication, manager enablement, culture, and behavior change required for AI to become part of how work actually gets done. Organizations do not scale AI through tools alone. They scale AI when people understand the purpose, feel supported, and see leaders modeling the change.
How can leaders build trust around AI adoption?
Leaders build trust around AI adoption by being transparent about why AI matters, addressing fear directly, equipping managers before expecting adoption, showing practical use cases, and connecting AI to meaningful work rather than just productivity pressure.
Does Matt Mayberry speak about AI and leadership?
Yes. Matt Mayberry speaks about AI leadership, the human side of AI transformation, and how leaders can build trust, strengthen culture, improve adoption, and help teams navigate disruption.
Is Matt Mayberry a technical AI speaker?
No. Matt Mayberry is not a technical AI engineer or data scientist. His focus is AI leadership, culture, trust, adoption, manager enablement, and organizational change for business audiences.
About Matt Mayberry
Matt Mayberry is a business keynote speaker, management consultant, 2x Wall Street Journal and USA Today bestselling author, and former NFL linebacker. He helps organizations strengthen leadership, culture, change readiness, and performance in the face of disruption. His work on AI leadership focuses on the human side of AI transformation, including trust, adoption, manager enablement, culture, and execution.