A phenomenon dubbed “workload creep” is emerging as a potential downside to the increasing adoption of artificial intelligence in the workplace. Rather than reducing the amount of operate employees handle, AI is leading to an expansion of tasks and expectations, driven by increased speed and a constant push to achieve more.
“The promise of generative AI isn’t just about what it can do for work, but also how it is carefully integrated into the daily rhythm,” explain researchers in a recent report. “Our findings suggest that without intention, AI facilitates the possibility of doing more, but it is also more difficult to stop.”
Companies may initially see a dramatic surge in productivity and celebrate the successful integration of AI into employee workflows. However, this boost could be followed by a concerning trend: cognitive fatigue and potential burnout. The study, conducted with 40 workers at a 200-employee tech company between April and December last year, revealed employees were working at a faster pace, taking on a broader scope of tasks, and extending their workdays—often without being asked. This finding underscores the importance of managing expectations and workload as AI becomes more prevalent in business operations.
Researchers found that generative AI lowered the barrier to starting tasks that might have previously seemed daunting. It also increased employees’ willingness to accept on responsibilities that previously fell to other roles, fueled by a cognitive boost from AI assistance. Unfortunately, this expansion of work is encroaching on personal time and leading to feelings of being stretched too thin.
“That workload creep can in turn lead to cognitive fatigue, burnout, and weakened decision-making,” the researchers stated. “The productivity surge enjoyed at the beginning can give way to lower quality work, turnover, and other problems.” The Harvard Business Review article highlights the need for companies to proactively address the potential for increased employee strain as they implement AI solutions.