"Generative artificial intelligence is bringing a new focus on efficiency at work. Some organizations see it as a way to replace employees and to squeeze more productivity out of the ones they have, to be more efficient that way. But others see GenAI as an opportunity to free workers of mindless tasks and rote drudgery, so people can engage with more complex problems and come up with better ideas and valuable breakthroughs."
"So our idea of efficiency really stems from the era of assembly line work, where the more products you assembled on an assembly line, the better your output was. The concept or the definition of efficiency rested on productivity and was measured on how much quantity you could produce per unit time. But right now, we are going through a period of tremendous change in AI and in technology, and the productivity of a company is no longer proportional to the quantity of output of its human workers."
"That's how our guest today sees it. She uses brain science to learn how to train our minds to become more efficient, and she defines efficiency as more quality over quantity. Mithu Storoni is a neuroscientist, a physician, and the author of the new book, Hyperefficient: Optimize Your Brain to Transform the Way You Work, and she joins me now."
Efficiency is rooted in assembly-line thinking, where productivity was measured by quantity produced per unit time. With rapid AI and technology change, human output quantity no longer directly determines company productivity. Hyperefficiency reframes efficiency as more quality over quantity, emphasizing better thinking and higher-value work. Generative AI creates two competing approaches: replacing employees to squeeze more productivity, or freeing workers from rote drudgery so they can engage with complex problems. Brain science is used to train minds to become more efficient by improving how people focus, process information, and generate valuable breakthroughs.
Read at Harvard Business Review
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