What: Generative AI tools accelerate work pace and expand responsibilities, but without structured practices, they can cause unsustainable workloads and cognitive fatigue.

Why it is important:  The risks of cognitive overload and blurred boundaries identified here align with recent retail reports emphasizing the importance of human-centric AI integration and comprehensive training.

The article challenges the common belief that AI reduces workloads, revealing instead that generative AI tools often intensify work by increasing the pace, expanding job responsibilities, and extending working hours—frequently without explicit direction from management. Employees, empowered by AI’s capabilities, voluntarily take on more tasks, leading to a broader scope of work and a faster rhythm that can blur the boundaries between professional and personal time. While this initial surge in productivity may seem beneficial, it often results in cognitive fatigue, burnout, and a decline in decision quality as the novelty wears off and workloads quietly expand. The authors argue that self-regulation is insufficient and advocate for the adoption of intentional “AI practices”—structured norms and routines that include deliberate pauses, sequenced workflows, and opportunities for human connection. These measures are essential to counteract the self-reinforcing cycle of intensification and to ensure that AI-driven productivity gains remain sustainable and do not come at the expense of employee well-being or organisational effectiveness. 

IADS Notes: Recent research in retail strongly echoes these findings. As seen in January 2026, only a minority of retailers have successfully scaled AI, with workflow redesign and leadership engagement proving crucial to avoid burnout. October 2025 reports highlighted that AI agents are reshaping retail operations, demanding robust oversight and cultural adaptation to prevent overload. September 2025 analysis warned of the risks of over-reliance on AI, while July 2025 demonstrated that human-centric implementation and clear guidelines are key to boosting efficiency without increasing turnover. October 2025 also documented the disruptive impact of AI on retail roles, underscoring the urgent need for upskilling and thoughtful integration.

AI doesn’t reduce work—It intensifies it