Employee Engagement Remains Flat as AI Adoption Accelerates

During the first half of 2026, 31% of U.S. employees were engaged at work, unchanged from 2025. Eighteen percent were actively disengaged.

The topline trend has stalled. Beneath it, the workplace continues to change rapidly as AI becomes a more common part of employees' daily work.

Organizations are investing heavily in AI adoption to improve employee productivity and efficiency, but Gallup's latest findings suggest that access alone does not improve or weaken the employee experience. Employees are substantially more likely to be engaged when leaders introduce AI with clear expectations, a thoughtful implementation plan and active manager support. These conditions help employees understand what is expected of them, how AI fits into their work and how they should use it.

Gallup defines employee engagement as employees' involvement in and enthusiasm for their work and workplace. Engagement reached a recent high of 36% in 2020 before declining to 31% in 2024, where it has remained through the first half of 2026. Each percentage-point change represents approximately 1.6 million full- or part-time employees in the U.S. Since 2020, the U.S. workforce has 8 million fewer engaged employees.

The cost of low engagement remains substantial. Employees who are not engaged or actively disengaged cost the U.S. economy an estimated $2 trillion annually in lost workplace productivity. Younger workers, hybrid workers and managers have had the sharpest declines since 2020. These same groups are among those now adapting to one of the most significant technological shifts in decades.

Clarity of Expectations Improved, but Detachment Remains

One aspect of workplace engagement has recently improved despite the broader decline in engagement. In the first half of 2026, 49% of employees strongly agreed that they know what is expected of them at work, up two percentage points from 47%. This comes as welcome news after 2025, when Gallup reported that the largest five-year declines in engagement were in employees’ clarity of expectations and feeling cared about at work.

Clarity of expectations is foundational to building highly engaged teams. Without it, employees lack a shared standard for success. The recent increase moves in the right direction, but employee clarity remains well below the 61% peak in 2015.

Slight declines in the percentage of employees who feel their opinions count and who feel connected to their organization’s purpose offset the recent gain in clear expectations. These declines point to a continuing problem of detachment. Employees may have somewhat more clarity about what they should do, but many still feel less connected to why the work matters and whether their voice affects how work gets done.

Clarity can improve task execution, but engagement also requires employees to believe their contribution matters, their opinions count and their work connects to a larger purpose.

AI Associated With Higher Engagement When Workplace Conditions Are Right

Worker engagement is six points higher among employees whose organizations have adopted AI than among those whose organizations have not.

This difference may not come from AI use alone. It may also reflect the types of industries adopting AI, especially technology, financial and insurance, and professional services sectors. Still, within organizations that use AI, employees who use it at least weekly are eight points more engaged than those who use it less often. In these cases, AI use is more clearly the operating factor.

However, the largest differences appear when organizations provide direction for AI use. Employees whose organizations provide a clear plan for integrating AI have a 15-point higher engagement rate than those without one. Employees who say their manager actively supports their team’s use of AI have an engagement rate of 48%, compared with 30% among employees who do not say this — an 18-point difference.

When workers in AI-adopting organizations have all three conditions present — frequent AI use, a clear plan for integration and active manager support — employee engagement rises to 53%.

For organizations that want to use AI to improve employee performance, the point is clear: Making AI available is not the same as having a clear AI implementation plan. Leaders need to define how employees should use AI, what outcomes matter and where human judgment remains essential.

Manager Support Matters Most

The findings point to one factor more strongly associated with employee engagement than any other: manager support.

Gallup has consistently found that managers are the primary way employees experience their organization. That remains true as AI changes how work gets done. Managers translate organizational priorities into day-to-day expectations. They help employees understand where AI at work adds value, where human judgment remains essential and what good performance looks like as work evolves.

Employees who frequently use AI and have managers who actively support its use are engaged at a rate 14 points higher than the national average. Manager support for AI also increased by four points from the first quarter to the second quarter of 2026. That change may help explain the modest improvement in employees' clarity of expectations during the first half of the year.

Strong manager communication also has a practical benefit. Managers who actively support AI are likely to have ongoing conversations with employees about how to use the technology, where not to use it and what outcomes matter most. These conversations create clearer expectations and help employees move from experimenting with AI to using it in ways that improve their work.

Without that guidance, employees must interpret AI expectations on their own. Some may use AI effectively, while others may use it inconsistently, avoid it altogether or apply it in ways that do little to improve performance.

These findings suggest AI does not diminish the importance of management. Instead, they reinforce the value of managers who create clarity as work changes.

Efficiency and Productivity Claims Need Clearer Evidence

Organizations often invest in AI to improve productivity and efficiency. Gallup's findings suggest that gains from workplace AI depend on both the technology and the workplace conditions around its use.

Among employees who use AI weekly or more in AI-adopting organizations, only 17% give the highest possible rating to AI's impact on their productivity and efficiency. That percentage increases substantially when employees experience the conditions that support effective AI integration.

Three patterns stand out:

• Frequent AI use matters. Employees who use AI weekly or more are far more likely to report strong productivity gains than those who use it less frequently: 24% versus 5%.
• Manager support matters even more. Employees whose managers actively support AI use are much more likely to say AI improves how work gets done: 33% versus 9%.
• Employees report the greatest gains when supportive conditions come together. Employees who have a clear AI plan, use AI frequently, receive active manager support and are themselves engaged are nearly three times as likely to give AI the highest productivity rating as frequent AI users overall: 50% versus 17%.

These findings suggest that positive attitudes toward AI are not enough. Organizations are more likely to see productivity gains when leaders pair AI with clear expectations, effective management and work processes that help employees use the technology in meaningful ways.

What Leaders Should Do Next

Leaders can strengthen AI use by focusing on four priorities.

1. Make AI expectations explicit.
   Employees need to know where they should use AI, where they should not use it and how managers will evaluate its use. Leaders should define AI expectations by role rather than announce broad enterprise policies only.
2. Equip managers to coach AI use.
   Manager support has the strongest link to engagement in the data. Managers need practical guidance on how to discuss AI in weekly conversations, connect AI use to performance goals and address employee concerns.
3. Build AI into performance conversations.
   AI should not sit outside performance management. Managers should ask employees how AI is changing their work, where it helps, where it creates confusion and what support they need to use it effectively.
4. Track engagement and AI use together.
   Organizations should measure whether employees have a clear plan for AI, use it frequently and receive manager support. These conditions distinguish basic adoption from meaningful integration.

The Bottom Line

U.S. employee engagement remained low at 31% in the first half of 2026. At the same time, AI use has increased, and many organizations now see AI as part of how they engage their employees.

Gallup’s findings suggest that organizations could reap the greatest employee engagement benefits from AI when leaders use management practices that create clear expectations, support meaningful work and give employees a voice in how work gets done. Gallup will continue to study how AI and the role of the manager evolve together. Organizations that combine AI integration with strong management practices are better positioned to create greater clarity, stronger engagement and better performance outcomes.