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Study Uncovers "AI Brain Fry" Phenomenon, Workers Face New Mental Burden

| | Source: KOMPAS Translated from Indonesian | Business
Study Uncovers "AI Brain Fry" Phenomenon, Workers Face New Mental Burden
Image: KOMPAS

Artificial intelligence (AI) has long been promoted as a tool that can reduce human workloads. The prevailing narrative portrays AI as a “digital assistant” capable of taking over routine tasks, allowing workers to focus more on strategic work. However, recent findings reveal a different side to the adoption of this technology. The term refers to a state of cognitive fatigue resulting from the use or supervision of AI that exceeds human mental capacity. This phenomenon is spotlighted in the latest report released in the Harvard Business Review. Conceptually, AI is designed to enhance work efficiency. Quoted from CNN on Thursday (16/4/2026), AI brain fry is defined as mental fatigue arising from excessive use or supervision of AI beyond an individual’s cognitive capacity. Instead of providing free time, workers are confronted with a new work pattern characterised by intensive multitasking. In its study, the Boston Consulting Group (BCG) noted that work now often transforms into activities managing multiple AI agents simultaneously, from chatbots and content generators to other automated systems. This condition triggers mental pressure that is not always visible but directly impacts work quality. The impact of AI brain fry is not merely abstract. Workers experiencing this condition describe it as a sensation of “mental fog” or even a “buzz” in the head. A senior engineering manager in the study described his experience: “It’s like having a dozen browser tabs in my head, all vying for attention.” This condition indicates that the cognitive load generated by AI is not just additional work, but a change in how the brain functions. In the BCG study involving 1,488 full-time workers in the United States (US), it was found that heavy use of AI does not always correlate with increased productivity. Productivity does increase when workers use up to three AI tools. However, when the number reaches four or more, productivity actually declines.

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