AI Tools Aren't Making Work Easier. Here's Why.

AI tools have become a big part of our daily work. They promise to make tasks faster and free up our time for more meaningful work. But sometimes, these tools have the opposite effect, adding stress instead of reducing it.

Let’s look at why this happens and what we can do about it.

The Set Hat

Many companies believe that adding the latest technology will automatically boost productivity. They think if AI can handle routine tasks, teams can focus on more important things.

But it’s not that simple. Assuming that tools alone make things easier ignores the human side—like the stress of learning, adapting, and managing change.

Leaders who focus solely on technological solutions may overlook the complexities of human behavior and organizational dynamics. The concept of technostress—stress arising from the introduction and use of new technologies—is particularly relevant here.

Why It Matters

When every new tool adds complexity rather than easing work, employees can feel more stressed and burned out. Instead of freeing up time for creative or deep work, AI can lead to more tasks—prompting, checking, and fixing—which extends work hours.

This can trigger a negative emotional cycle, resulting in disengagement and a lack of commitment to organizational goals. Moreover, when employees are stressed, they may experience decision fatigue, which further reduces their ability to perform at their best.

Moreover, the self-determination theory emphasizes the need for autonomy, competence, and connection to motivate people. When AI tools are imposed on employees without their input, it reduces their autonomy and causes frustration.

Even worse, when workers are forced into rigid processes dictated by tools, their ability to use personal strengths and creativity is curtailed.

How to Shift

To make AI work for you instead of against you, focus on giving people more choice and control. Instead of forcing the entire team to use a tool, encourage employees to experiment and find what works best for them. This approach will help them feel ownership over their work, rather than feeling like they’re just trying to keep up with the latest technology.

Another key step is to reduce the cognitive load that comes with new tools. Offer proper training and support, and make sure people know it's okay to take their time to adapt. It’s also crucial to recognize that not every task needs automation—sometimes, the old ways are simpler and more efficient.

Leaders can apply principles from positive psychology to foster a growth mindset within the team. By encouraging curiosity and viewing tool adoption as an opportunity for skill development rather than a rigid requirement, employees can develop resilience in the face of change. Providing a supportive environment, where mistakes are seen as part of the learning process, can help alleviate the fear of using new technologies.

Finally, build a culture where feedback is not just welcomed but expected. Employees should feel comfortable sharing when a tool isn’t working for them, and leadership should be ready to adjust accordingly.

By allowing flexibility, providing support, and listening to real needs, AI tools can truly become allies rather than obstacles.