Sal DiFranco
Managing Partner, Global Technology Practice
Artificial intelligence (AI) has settled into everyday work routines in a remarkably short time. Across industries and regions, employees rely on AI tools to accelerate work, streamline tasks, and support decision-making.
DHR Global’s Workforce Trends Report 2026 confirms that momentum. Over the past year, a significant share of employees experienced measurable productivity gains tied to AI. At the same time, the report reveals a growing disconnect between how quickly AI adoption advances and how clearly leaders explain what that progress means for people’s roles, skills, and careers.
That disconnect matters. Productivity gains alone don’t build confidence or engagement. Employees want to understand how AI fits into their work today and how it shapes opportunity tomorrow. When communication lags behind adoption, uncertainty fills the gap.
The research shows AI is delivering tangible results. Nearly 39% of employees report noticeable productivity gains from AI tools over the past 12 months, with adoption strongest in Asia and Europe and somewhat lower in North America. Organizations have responded by revising learning and development priorities, reallocating responsibilities toward strategic and critical thinking, and introducing roles that focus on overseeing AI systems.
Employees also report new friction points. One in five respondents has encountered misinformation, errors, or misleading outputs from AI tools. Those issues often require manual correction, slow project progress, or introduce inaccuracies into internal communications. Employees recognize the value AI brings, and they also see where guidance and guardrails fall short.
Communication emerges as the central issue. Only 34% of employees say their organizations have clearly explained how AI affects their roles and skill requirements. Nearly one-quarter rank clarity around AI’s effects on their jobs among the top changes they want this year. Without direction, employees decide for themselves which skills matter most, leading to uneven development across teams.
The gap widens by level. Most senior leaders believe they’ve communicated clearly about AI, while far fewer early-career employees agree. Engagement follows the same pattern, with senior leaders far more likely to report higher engagement tied to AI tools than entry-level employees. The data points to a simple conclusion: AI adoption advances faster than shared understanding.
The research outlines the trends. The perspectives below reflect how partners from DHR and Jobplex see organizations responding to them, based on ongoing conversations with executives about skills, communication, and employee expectations.
Sal DiFranco, Managing Partner, Global Technology Practice
Defining how major technology changes will fit into overall strategy plays a critical role in shaping the future of the company, including its culture and employee engagement. With AI, organizations should not only drive adoption but also measure adoption through usage and business results. Understanding the value and ROI that AI tools create helps ensure efforts stay aligned with company strategy and deliver meaningful outcomes.
As teams implement new tools and new ways of working, room for error becomes essential. Allowing flexibility across the workforce, regardless of tenure, gives people space to learn. Organizations can also strengthen attraction and retention by offering opportunities to grow, communicating strategy clearly, and maintaining a defined culture that employees and candidates can evaluate. Transparent communication about AI strategy matters with top talent, including investment, the intended end state, and the role talent will play. Listening across levels and addressing issues openly helps resolve concerns as they arise.
Kathryn Ullrich, Managing Partner
Guiding employees through major technology adoption requires defined expectations for how the organization works and grows. Drawing from best-in-class Chief Information Officers, strong leadership treats ongoing change as expected and reinforces learning and improvement across the organization. Companies that perform well over time continue evolving to maintain their position rather than relying on established routines.
Addressing concerns about job security directly also supports workforce resilience. Reassuring teams that AI will not eliminate roles, while investing in AI skill development, helps employees focus on improving productivity. As skills increase, organizations can move employees into higher-value responsibilities, with staffing adjustments occurring through natural attrition rather than disruption.
Tobias Rummeleit, Managing Partner, Global Energy & Renewables
Making AI usage a required part of daily work helps establish clear expectations for how employees should engage with new tools. Supporting that expedition with a structured curriculum gives employees practical guidance on how to use specific AI tools and processes. As familiarity grows, fear decreases and skill development accelerates. A deliberate approach to AI learning also strengthens competitiveness by ensuring capabilities keep pace with change.
Effective communication around AI and future skills plays a central role in attracting and retaining talent. Candidates – particularly earlier-career professionals – increasingly ask where organizations stand on AI as a way to assess competitiveness. Transparent communication about how AI technologies are used helps employers stand out, especially in traditional industries. That clarity supports attraction and retention by setting realistic expectations about growth and opportunity.
Connor McKeown, Partner, Jobplex
Reducing uncertainty before it turns into resistance plays a central role during AI adoption. Culture takes shape based on whether organizations clearly explain how AI changes the work itself and which skills become more valuable as a result. When leaders stay silent, that silence creates its own narrative, often driven by fear rather than facts. Framing AI as a capability change for employees, rather than a head-count discussion, helps prevent those narratives from taking hold.
Clear communication also shapes engagement and retention. Employees who understand how AI affects their roles and what skills matter next feel invested rather than displaced. Without that clarity, AI adoption slows, workarounds increase, and confidence in leadership weakens. Treating AI adoption as a human change effort – supported by reskilling pathways, visible leadership involvement, and ongoing communication – helps align productivity gains with employee experience and keeps talent engaged as work evolves.
Greg Janicik, Managing Partner
AI adoption may trigger anxiety for employees, particularly when productivity gains raise concerns about job loss. Many organizations are still determining which roles will change, what will remain critical, and which may be phased out. Clear articulation of AI strategy helps reduce that uncertainty. Explaining the purpose behind AI, how it aligns with the organization’s mission, and how it benefits employees and customers reduces fear that can stall adoption. Sharing practical examples of AI making work easier while enhancing skills can further strengthen confidence and support learning as work evolves. By communicating a defined strategy and modeling the right behaviors, leaders can accelerate AI adoption and unlock its potential to drive sustainable, profitable growth.
AI also reshapes career paths, especially for earlier-career and high-performing employees who want visibility into growth opportunities. Organizations that map emerging skills to business needs, support capability development, and offer exposure to AI-driven projects position themselves as more attractive employers. When employees see leadership invested in their growth and adaptability, retention improves and engagement strengthens.
This year’s report makes one theme unmistakable. AI already shapes productivity. Leadership communication now determines whether that progress builds confidence or uncertainty.
Leaders who succeed treat AI as an ongoing conversation. They explain how tools fit into work today, outline how skills will evolve, and revisit those messages as technology advances. When employees understand direction and expectations, AI adoption feels purposeful and sustainable.
From what drives employee engagement and burnout to the impact of AI and culture, get the information executives need to pave a path for success in our 2026 Workforce Trends Report.
DHR surveyed 1,500 white-collar, desk-based professionals who are proficient in English and aged 21 or older across North America, Europe, and Asia, evenly distributed across regions. The report draws on these responses to examine how AI adoption is shaping employee productivity, skill development, and communication.