McKinsey experts said that protecting brain health is essential as artificial intelligence increases cognitive demands on the global workforce [1].

This shift matters because AI transformation may exhaust human employees rather than optimize their performance. Without a focus on brain capital, the mental strain of adapting to rapid technological changes could undermine the very productivity gains AI is intended to provide.

In a recent discussion on The McKinsey Podcast, partners Erica Coe and Kana Enomoto joined McKinsey Health Institute Senior Fellow Jacqueline Brassey to discuss the intersection of cognitive health and technology [1]. The group focused on the concept of brain capital, which encompasses the cognitive, emotional, and social resources that allow individuals to function and thrive.

As AI integrates into daily business operations, the nature of work is shifting. The experts said that while AI can automate routine tasks, it often increases the complexity of the remaining human responsibilities, creating a higher cognitive load for employees [1]. This environment requires workers to develop new skills to cope with these demands to avoid burnout.

The discussion emphasized that brain health is not merely the absence of disease but a proactive state of wellness. Investing in this area involves creating supportive work environments and providing tools that help employees manage mental fatigue [1].

Failure to address these cognitive demands could lead to a decline in workforce efficiency. The experts said that organizations must treat brain health as a strategic asset, similar to financial or physical capital, to ensure long-term sustainability in an AI-driven economy [1].

“AI transformation can exhaust humans rather than optimise performance.”

The focus on 'brain capital' suggests a shift in corporate wellness from basic mental health support to a strategic operational requirement. As AI handles more data processing, the human role shifts toward high-level synthesis and emotional intelligence, which are more cognitively taxing. This indicates that future workforce productivity will depend less on technical tool proficiency and more on the cognitive resilience and mental endurance of the staff.