The numbers tell a story most companies do not want to hear. After three years of aggressive AI spending, employee engagement is falling at the same time that AI investment is failing to deliver measurable returns. The connection between these two trends runs through middle management, where the pressure to adopt new tools collides with declining morale and rising burnout. The latest workplace data suggests that AI disappointment and engagement collapse are not separate problems but the same problem viewed from different angles.
The data that got my attention
Gallup’s 2026 State of the Global Workplace report, published in April 2026, delivers two numbers that belong in the same conversation. Global employee engagement fell to 20 percent in 2025, the lowest since 2020 and the second straight year of decline. At the same time, an MIT study cited in the report found that roughly $40 billion in enterprise AI investment has produced zero measurable profit impact at 95 percent of organizations. These are not separate stories. They are the same story told from two angles.
The connection is managers. Gallup reports that manager engagement dropped from 27 percent in 2024 to 22 percent in 2025, the largest single-year decline on record. Managers are the people expected to translate AI investment into results. When they lose engagement, the bridge between technology and outcome collapses.
Why this matters now
Organizations are spending record sums on AI while the people responsible for making it work are checking out. The NBER survey cited by Gallup found that 89 percent of leaders report no impact on labor productivity from AI in the past three years. Only 12 percent of employees in AI-implemented organizations strongly agree that AI has transformed how work gets done. The tools are arriving. The human capacity to absorb and deploy them is shrinking.
This matters because every change strategy assumes managers will do three things: translate leadership messages, coach performance, and champion new tools. When managers are as depleted as the people they lead, all three break down. Gallup frames engagement as a readiness indicator, and the 2026 data suggest most organizations are not ready for the change they are attempting.
What the research actually shows
The Gallup report calls the manager trend “the shrinking perk of being a manager.” Manager engagement has fallen 9 percentage points since the 2022 peak. The 2024-to-2025 drop of 5 points in a single year is the steepest annual decline Gallup has recorded for that group. The pattern is global. Gallup notes that no region increased engagement in the past year, and South Asia saw the largest regional drop at 5 points.
The cost is already measurable. Gallup estimates that low engagement costs the world economy approximately $10 trillion in lost productivity, or about 9 percent of global GDP. Each percentage point of engagement represents roughly 21 million employees. The table below shows the engagement trajectory alongside the manager decline.
| Year | Global engagement (%) | Manager engagement (%) |
|---|---|---|
| 2022 | 23 | 31 |
| 2023 | 23 | 28 |
| 2024 | 21 | 27 |
| 2025 | 20 | 22 |
The gap between managers and individual contributors is narrowing in the wrong direction. In 2022, managers outpaced individual contributors by 8 percentage points. By 2025, that gap had shrunk to 3 points. The engagement buffer that made managers effective change agents is disappearing.
A practical framework for leaders
The organizations in Gallup’s “best-practice” category have 79 percent of managers engaged, nearly four times the global average. The difference is not luck. It is a set of deliberate practices that rebuild manager capacity before demanding more from it.
- Audit manager load before adding AI. If a manager is already spending 40 percent of their time on individual contributor work, a new AI tool is another burden, not a relief. Measure the load first.
- Connect AI to a specific outcome, not a strategy. The 95 percent failure rate correlates with abstract deployments. Tie each AI investment to one measurable workflow improvement that managers can see within 30 days.
- Train managers as coaches, not tool experts. Gallup’s data show that coaching-trained managers produce 20 to 28 percent improvements in team performance. AI proficiency matters less than the ability to guide people through change.
- Pay attention to manager engagement quarterly. Annual surveys miss the 5-point annual drop that Gallup recorded. Pulse-check managers every 90 days and act on declines within the same quarter.
- Protect the engagement buffer. The manager-to-contributor gap is the organization’s change capacity. If it shrinks below 5 points, every transformation initiative is at risk.
The bottom line
The 2026 data make one thing clear. AI is not failing because the technology is immature. It is failing because the managers who turn tools into outcomes are losing the engagement that made them effective. The $40 billion with zero profit impact and the $10 trillion productivity loss are two sides of the same coin. Fixing it starts not with another AI roadmap but with rebuilding the human infrastructure that makes any roadmap work.
Where to go from here
Before launching the next AI initiative, leadership teams need an honest assessment of whether their managers have the capacity to carry it. An AI Leadership Readiness Assessment measures manager engagement, change capacity, and coaching skills against the benchmarks that separate the 12 percent of successful AI implementations from the rest. AI Leadership Readiness Assessment →
For related coverage, see Why Middle Managers Are the Hidden Bottleneck in Every Transformation, Why burned-out managers can’t build engaged teams (2026 data), and The ADKAR Model for Managers Who Hate Change Models.
