Managers Key to Helping Employees Navigate AI Adoption

Forty-nine percent of employees strongly agree they know what is expected of them at work, up from 47% last year. 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. Yet overall employee engagement remained unchanged, and fewer employees say their opinions count or that they feel connected to their organization's purpose. 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. Knowing what's expected at work is a foundational element, but just one part of building an engaged workforce. The strongest workplaces create provide employees with clarity and connection by helping employees understand what's expected in their roles, feel like their opinions are heard and see how their work contributes to the larger purpose. Explore Gallup's latest findings: https://lnkd.in/g-u-S5_5

The employees using AI the most are also the most worried that it will eliminate their jobs. But Gallup’s own findings point in a different direction. Regular AI users are much more likely to say AI helps them work faster, find creative solutions and produce higher-quality work. And among employees who say AI helps them work faster, 31% have been given more responsibility. That should mean more work. It also looks like more opportunity. Employees who accomplish more seem to be given more important work, become more valuable to their organizations and advance faster. AI can be scary. It is also a tool for human progress, and people are using it to become more productive right now. Use AI. Use it often. Get good at it.

Employees in AI-adopting organizations who strongly agree their manager champions AI use are more than 8 times as likely to say AI has transformed how work gets done, according to Gallup's latest research. Only 4% of employees who don’t strongly agree their manager supports AI use say the same. The findings suggest AI adoption alone does not drive organizational transformation. One variable consistently separates the organizations where AI is making a real difference from those where it isn't: manager support. If employees don’t perceive strong manager support for AI, the tools an organization invests in are less likely to change how work actually gets done. Support, not just access, seems to be the differentiator. Explore the full findings on AI, workplace culture and the role of managers: https://lnkd.in/dhyUghxD

Something worth reading for the weekend. “AI integration isn’t a technology problem; it’s a psychology problem” Wherever a new tech emerges, it tends to accelerate and reshape organization only if leaders and employees embrace it in practical, human centric ways. The well run enterprise follow clear objectives, measure outcome rigorously, and give employee enough autonomy to explore fresh ideas. Those which AI initiatives failed: They focus on software features, how to use it rather than the culture that must support them. And that can erode employee trust or even invite sabotage. https://lnkd.in/gE2nX8gs

Nearly one in four U.S. employees (23%) aren’t sure whether their organization has integrated AI tools, and that uncertainty is concentrated among frontline and part-time workers who are often furthest from decision-making. Even as personal use of AI grows, awareness of organizational strategy hasn’t kept pace. Employees who are closest to leadership tend to have clearer insights, while those on the front lines report mixed signals about how — or whether — AI is being implemented. These communication gaps matter. When employees understand how AI fits into their work, adoption becomes more confident, consistent and effective. See how employee uncertainty shapes AI adoption and why communication and manager support matter: https://lnkd.in/gZ_cFBXC

Is your AI adoption strategy making employees disappear? Do you as an employee feeling disenngaged? When algorithmic systems drive behavior without transparency, you risk losing the autonomy, agency, and sense of self that keeps people engaged. I came across research by organizational psychologist Anique van der Putten that reframes how we think about AI in the workplace. Most organizations implement AI for productivity gains. But here's what they often miss: the psychological cost of how it's implemented. When algorithmic management operates opaquely, assigning work, tracking performance, rating employees, and determining rewards through systems employees can't understand or contest; something shifts. The employee narrative moves from "AI helped me accomplish something difficult" to "I don't know if I'm good at my job anymore." Van der Putten outlines eight psychological perspectives that predict engagement versus burnout. The pattern is clear: organizations that translate efficiency gains into squeezed workload create threat perception. Organizations that use AI to amplify autonomy, preserve meaningful work, and keep humans in the decision loop maintain engagement. Based on the article, I created an assessment, which I found interesting. You can take the survey to find out how engaged you are at work. You can find the link in the first comment. I have also shared the link to the article in the comment section. Have a look.

Ninety-nine percent of CHROs surveyed say AI is important to their organization's strategy. Yet half say they are not confident their managers can guide employees to use it effectively. AI use is rising across the workforce, but Gallup's research suggests many organizations are still translating strategic intent into operational change via these tools. Employees in AI-adopting organizations with managers who actively champion AI are more than 8 times as likely to say it has transformed how work gets done within their organization compared with employees whose managers do not support AI use. A strategy that depends on managers who leaders agree aren’t equipped to lead it is a strategy at risk. Confidence in AI's importance doesn't guarantee readiness to use it well — at any level of the organization. Explore the full findings on AI transformation, workplace culture and manager readiness: https://lnkd.in/dt_UVXMB

65% of U.S. employees say AI has improved their personal productivity. But only 12% strongly agree that AI has transformed how work gets done across their organisation. That gap tells us something. Employees are finding ways to make AI useful in their own work. But organisations are still struggling to turn those individual productivity gains into better systems and results. And managers seem to be part of the missing link. Employees use AI more consistently when it is built into their existing workflows and when their managers actively support its use. Yet fewer than a third of U.S. employees strongly agree that their manager supports their team’s use of AI. So the challenge is not simply getting people access to AI. Rather, it is helping them understand how to use it well. What should we use it for? What shouldn’t we use it for? Where does it fit into the workflow? How do we use it without compromising quality or security? That’s why AI adoption is becoming a management challenge, not just a technology challenge. And there’s a lesson here for individuals too. Knowing how to use AI is becoming expected. Knowing how to integrate it into the way work actually gets done is the skill that can set you apart. Source: Gallup, State of the Global Workplace 2026 Careeristically

What happens when the people responsible for engagement run low themselves? Managers are more likely than individual contributors to experience negative emotions on a daily basis, including a four-point higher likelihood of feeling anger and a six-point higher likelihood of feeling stress. At the same time, they are expected to drive performance, culture and connection across increasingly complex workplaces. The challenge is structural. Managers are being asked to do more — lead hybrid teams, coach performance, support wellbeing — often without the training or resources to do so effectively. The result is a growing strain at the center of organizations. If managers are overwhelmed, engagement strategies fall short. But when managers are equipped, supported and thriving, they become the most powerful lever organizations have. Organizations that expect more from managers must also invest more in them through better role design, development and ongoing support. Full findings in Gallup's 2026 State of the Global Workplace report. https://lnkd.in/gNQaDk5t

What if the biggest barrier to AI adoption isn’t the technology but your people? We talk a lot about whether organisations are AI ready. But are we asking the right question? A thought provoking piece from @People Insight looks at what employees are actually saying about AI and there’s a clear message: people aren’t simply “for” or “against” it. They’re curious. They see the potential. They want AI to remove repetitive work and help them work differently. But they also have questions. What does AI mean for my job? Can I trust the outputs? What can I safely use it for? What happens to my data? And am I actually being given the skills and support to use it well? That distinction matters. Because employee concerns about AI shouldn’t automatically be labelled as resistance to change. They may be signals that your organisation needs more clarity, better communication, stronger governance or simply a better conversation with its people. For HR and People leaders, I think this is where AI readiness gets particularly interesting. It’s not just about introducing the tools. It’s about creating the conditions in which people can use those tools confidently, responsibly and productively. This article is well worth a read if you’re thinking about AI adoption, workforce transformation or the employee experience of AI. And it raises a question I think every leadership team should be asking: Are we measuring whether our organisation is ready for AI or whether our people are ready for it? Read the full People Insight article: https://lnkd.in/eGiD5CUT #AI #AIReadiness #EmployeeExperience