Two years into enterprise AI rollouts, the constraint on transformation has quietly shifted. It is no longer the software. New research from ManpowerGroup Talent Solutions and Everest Group finds that just 3% of organizations say their leaders are highly prepared to manage AI enabled teams, even as adoption keeps climbing. The technology arrived faster than the management layer built to run it.
The readiness gap, by the numbers
The finding comes from “The New Talent Equation: Activating Workforce Confidence at Scale,” the second report in a two part research series from ManpowerGroup Talent Solutions and Everest Group. The study surveyed 80 C-suite, CHRO, and senior talent acquisition leaders across the United States and United Kingdom, spanning healthcare, life sciences, manufacturing, and technology.
The headline number is stark: only 3% of respondents say their leaders are highly prepared to guide AI enabled ways of working. Just 17% describe their organization’s workforce readiness as “advanced” or “transformational,” the tier where AI capability is genuinely embedded into daily workflows rather than bolted onto them. Meanwhile, 78% of leaders report employee concern about how AI will affect their jobs, and 63% say they have seen workforce resistance to AI tools after deployment.
“Most organizations have made significant progress deploying AI. What we’re seeing now is that technology is no longer the primary challenge,” said Caroline Pfeiffer Marinho, global business leader for Talent Solutions RPO and Right Management at ManpowerGroup.
Adoption outran the people who have to run it
That gap shows up in parallel data from Gallup’s State of the Global Workplace tracking. Organizational AI adoption jumped to 47% in the second quarter of 2026, up from 41% the prior quarter, and 52% of U.S. employees now use AI at work in some form. Employee engagement, however, has not moved with it: it remains flat at 31% in the U.S. through the first half of 2026, matching 2025 and sitting near the lowest level in years, down from a recent high of 36% in 2020.
Gallup’s explanation lines up with what ManpowerGroup and Everest Group are describing as a leadership problem rather than a tooling problem. Access to AI alone does not move engagement. What does is how a person’s direct manager introduces it. Employees whose managers actively encourage and guide AI use report engagement of 48%, compared with 30% among employees without that support, a gap nearly as large as the swings AI vendors promise from the technology itself.
Where the productivity actually shows up
The ManpowerGroup and Everest Group research also complicates the case for full automation. Leaders report the greatest productivity gains, 34%, coming from AI augmented roles where people and AI work together, versus just 8% who see their strongest gains in fully automated roles. For roles that AI does displace, 63% of leaders point to reskilling and redeployment, not layoffs, as the primary outcome, and 86% now rank AI upskilling among their top priorities for the next 12 to 18 months.
Read together, the two data sets describe the same shift from different angles: the ceiling on AI value creation right now is not model capability, it is whether the people closest to the work know how to fold AI into it without burning out or checking out.
A familiar pattern, this time compressed
The sequence itself is not new. Enterprise software waves have long shown the same lag: the license gets bought and switched on well before the managers who depend on it know how to run a team around it. What stands out here is that ManpowerGroup and Everest Group frame this as the second report in a two part series, following an earlier study on talent decision making, which suggests the firms see the readiness gap as a durable finding worth tracking over successive reports rather than a one time snapshot.
The skeptic’s read is that readiness surveys like this one are self-reported, and leaders answering a talent-solutions vendor’s survey have some incentive to describe their own caution or progress in a flattering light. What is harder to explain away is the consistency across two independent data sets: ManpowerGroup and Everest Group’s leadership sample and Gallup’s much larger employee sample, both landing on the same story of adoption outpacing readiness, from opposite ends of the org chart.
What it means for the HR leader
This reframes where AI transformation budget should go next. HR teams have spent the last two years focused on licensing, pilot programs, and use policy. The readiness data says the next dollar belongs to manager enablement: training frontline and mid-level managers to set expectations, coach AI use case by case, and answer the “why this, why now” questions that AI skills gap research has already flagged as a stalling point for adoption.
It also argues for tracking adoption and engagement as a single dashboard, not two separate ones. A rollout that hits its usage targets while engagement or confidence slides, a pattern other recent research has documented as adoption peaks, is not a success by any definition that matters to retention or output quality.
Finally, the reskilling number deserves board level attention. With 63% of leaders naming reskilling and redeployment as the primary response to AI driven role change, treating upskilling budget as a discretionary line item rather than a core workforce planning cost is increasingly out of step with how leaders say they are actually managing the transition.
The takeaway
Three actions follow directly from the research. First, audit manager readiness specifically, not just employee AI usage rates, since the readiness gap sits at the leadership layer. Second, pair every AI tool rollout with a manager coaching plan, given the near 20 point engagement gap tied to active manager support. Third, fund reskilling as core infrastructure for roles AI is reshaping, not as a response after resistance has already set in. The technology is no longer the bottleneck. What organizations do with the leaders standing between the tools and the teams is.
Source: ManpowerGroup Talent Solutions and Everest Group, via PR Newswire
