Employee Experience is becoming an important part of the conversation about artificial intelligence (AI) and the future of work. While many organizations focus on how AI improves productivity, saves time, and reduces costs, there is another question worth asking: how is AI changing the way employees experience their work? AI can help employees complete tasks faster, find information more easily, and spend less time on repetitive activities. But working faster does not always mean working better. The time saved through AI could give employees more room for creative thinking, learning, and problem-solving. It could also lead to more tasks, shorter deadlines, and higher expectations. The difference depends largely on how organizations introduce AI and how leaders manage the changes that come with it.
Research shows that AI is already helping many employees work more efficiently. In May 2026, Gallup found that 65% of employees in organizations using AI believed it had improved their productivity and efficiency. Similarly, Microsoft’s 2026 Work Trend Index, based on research involving 20,000 AI users across 10 countries, found that 66% believed AI gave them more time for important work. However, not everyone experiences these benefits in the same way. Gallup found that 21% of leaders described AI’s impact on their productivity as extremely positive, compared with 13% of individual contributors. The difference also shows up in how often they use AI: 51% of leaders use it frequently, compared with 26% of individual contributors. This raises an important question. Are the people making decisions about AI experiencing its benefits in the same way as the employees expected to use it every day? Productivity reports can show how much faster work gets done, but they cannot explain whether employees feel more confident, supported or satisfied in their roles. To understand the real impact of AI, organizations need to look beyond the numbers.
One of the biggest risks of AI is that saving time can gradually lead to more work. When employees complete tasks faster, expectations can change. Deadlines become shorter, new responsibilities are added, and employees are expected to handle more than before. What starts as a tool that makes work easier can slowly become another source of pressure. Research by Aruna Ranganathan and Xingqi Maggie Ye from the University of California, Berkeley, published in Harvard Business Review, explored this issue in a US technology company with around 200 employees over eight months in 2025. The researchers found that employees using AI started working faster, taking on different tasks and extending their working hours. Interestingly, managers did not need to ask them to do more. Employees began taking on additional work themselves because AI made it easier to get started and finish tasks. Some started using lunch breaks, evenings and early mornings to complete work that previously required more time. While this initially created a sense of excitement and increased productivity, the researchers warned that it could eventually lead to tiredness, burnout and poorer decisions. There is another challenge: employees may feel pressure to keep up with new technology while still meeting their existing targets. Microsoft found that 65% of AI users were worried about falling behind if they did not adapt quickly. At the same time, 45% felt it was safer to continue working towards their current goals rather than rethink how they could use AI. This creates a difficult situation. Employees are expected to learn new tools, change the way they work, and deliver results, often without clear guidance on what these changes mean for their roles. AI itself is not necessarily the problem. The challenge is how organizations manage the additional time and capacity it creates. Without clear expectations, saved time can quickly turn into more work.
If productivity is not enough to measure the success of AI, what else should organizations consider? In Harvard Business Review, Erik Hermann, Stefano Puntoni, and Carey Morewedge explain that employees’ reactions to generative AI are closely connected to three basic needs: feeling capable, having control over their work, and maintaining good relationships with others. This offers a useful way to understand why some employees welcome AI while others feel uncertain about it. Based on this perspective, organizations should consider five important questions when introducing AI.
The success of AI depends on more than choosing the right technology. It also depends on how well organizations prepare their people for change. Microsoft’s 2026 Work Trend Index found that organizational factors, such as company culture, manager support and talent development, had more than twice the reported impact of individual attitudes and behaviour towards AI (67% compared with 32%). This shows how important leadership is when introducing new technology.
Start with clear communication. Employees need to understand why AI is being introduced, how it will affect their work and what the organization expects from them. Without clear communication, uncertainty about job security and future responsibilities can quickly grow. Microsoft found that only 26% of AI users believed their leadership was clearly and consistently aligned on AI. When leaders send mixed messages, employees are left to make their own assumptions.
Make managers part of the process. Managers have an important role in helping employees understand and use AI. They should be able to answer questions, share practical examples, and create an environment where employees feel comfortable learning. According to Gallup, 78% of employees who strongly agreed that their manager supported AI use were frequent users, compared with 44% of those who did not. However, only 36% of employees in organizations introducing AI strongly agreed that their manager actively supported their team’s use of the technology. This highlights the importance of giving managers the knowledge and support they need to guide their teams through change.
Give employees the right training and involve them in decisions. AI training should go beyond showing employees how to use new tools. It should also help them understand when AI is useful, how to check its results and when human judgment is still necessary. Employees should also have a voice in deciding how AI becomes part of their daily work. They understand the challenges of their roles and can often identify where technology would genuinely help and where it might create additional problems.
Review workloads and performance expectations. If employees can complete tasks faster, organizations should not automatically expect them to take on more work. Instead, the additional time could be used for learning, improving work quality and focusing on tasks that require human skills.
Keep listening to employees. The introduction of AI changes how people work, and these changes will continue over time. Organizations should regularly ask employees about their workload, confidence, development opportunities, teamwork and overall well-being. However, collecting feedback is not enough. Employees need to see that their opinions lead to real improvements. By combining productivity data with regular employee feedback, organizations can better understand what is working, identify problems early and make changes before they affect engagement and well-being.
AI will continue to change the way organizations operate and how employees approach their work. Faster processes, improved efficiency and reduced time spent on routine tasks are valuable benefits. However, they should not be the only measures of success. The real opportunity lies in using technology to create better working environments, help employees develop their skills and give people more time to focus on work that matters. An organization may achieve higher productivity through AI, but if employees become more stressed, less engaged or overwhelmed by additional responsibilities, the long-term benefits are questionable. Companies that put Employee Experience at the centre of AI adoption will be better prepared to understand their employees’ needs, build trust and create a workplace where people and technology can work effectively together. For leaders, the most important question is not simply how much time AI saves. It is what happens to that time afterwards. Does it give employees more opportunities to learn, grow and do meaningful work? Or does it simply mean more tasks and higher expectations? The answer will help determine whether AI is truly improving the future of work.
