How to Avoid Cognitive Fatigue When Working with AI: Expert Tips

Artificial intelligence is often positioned as a tool capable of automating routine tasks and freeing up time for more important work. However, a Harvard Business Review study revealed the opposite effect: employees using AI work faster but face an increased volume of tasks and higher workloads. This leads to cognitive fatigue and a decline in work quality.

Experts emphasize that the key to effectively using AI is a mindful approach. Ankur Anand, CIO of recruitment company Harvey Nash, notes that many employees expect instant productivity gains from AI but overlook the risks. Without a clear understanding of the tools' capabilities and limitations, working with AI can become a source of additional stress.

To minimize negative consequences, experts recommend focusing on three aspects: tool selection, standard development, and quality control of results. For example, Alex Reed, Senior Data Manager at EDF UK, advises limiting the number of tools used and focusing only on those that bring real value to a specific role. This helps avoid "noise" and concentrate on priority tasks.

Nick Pearson, CIO of Ricoh Europe, adds that while AI can generate large volumes of data, it cannot replace human creativity and expert judgment. It’s important to understand where the technology can be useful and where specialist input is required. Companies should also develop internal AI usage standards to prevent a decline in work quality and employee turnover.

Effective AI use requires continuous monitoring and refinement of results. Louise Newbury-Smith, Head of Zoom UK, recommends using precise phrasing in AI queries to receive only relevant information. Ultimately, success depends on how mindfully employees approach technology use and avoid over-reliance on it.