← Return to Index Archived May 13, 2026
The Lead — May 13
HBR ON LEADERSHIP · HARVARD BUSINESS REVIEW

Redefining What Efficiency Means in the Age of AI

Neuroscientist and physician Mithu Storoni argues that in an AI-saturated workplace, human efficiency should be measured by the quality of ideas rather than the quantity of output. She explains how attention, creativity, learning, and even boredom follow distinct brain states that managers can better support through flexible schedules, protected focus time, and work designed around natural cognitive rhythms.

29m / May 13, 2026 /aibusinesspsychology / Transcript sourced from openai
All episodes from HBR On Leadership →·Podcast website →·Listen on Apple Podcasts →

Overview

This episode argues that AI should raise the standard of human work, not just speed it up. Neuroscientist and physician Mithu Storoni says the old model of efficiency - more output per hour - fits assembly-line work, but knowledge work now depends more on the quality of ideas, decisions, and problem-solving.

Her main point is that people do their best thinking in different mental states, not by grinding steadily at a desk all day. If AI takes over more routine production, then human value shifts toward insight, creativity, judgment, and learning, which all depend on how well we manage our brains and our work rhythms.

Key Takeaways

Storoni says efficiency in modern work should mean better thinking, not just more activity. As AI handles more repetitive tasks, people are left with the harder part: framing problems, spotting patterns, making decisions, and coming up with ideas that software cannot produce on command.

A central idea is that the brain does not work well in one fixed mode for hours at a time. Focus, idea generation, and learning each depend on different conditions. She describes a "gear two" state as the sweet spot: alert enough to concentrate, but not so stressed that attention narrows or panic sets in. Too little arousal leads to sluggishness; too much leads to anxiety and poorer thinking.

She also pushes back on the desk-bound model of work. If you are stuck on a problem, that may be a sign that your environment no longer matches the kind of thinking needed. Walking can help because it changes body state, keeps you alert, and lets attention loosen enough for new connections to emerge without tipping into rumination.

Another strong point is timing. Storoni says there are windows in the day that better support creativity and others that better support focused analytical work. For many people, creative thinking peaks shortly after waking and again later in the evening, while sustained focus tends to be stronger from mid-morning to lunch and again later in the afternoon. Standard office schedules often waste those windows.

On learning, she says a small amount of tension is useful. The discomfort that comes with uncertainty can prime the brain to learn faster, as long as it does not slide into full stress. In a fast-changing workplace, the ability to stay calm while slightly stretched may matter more than trying to feel comfortable all the time.

Practical Steps

  • Match the task to your mental state. Use your sharper focus periods for analysis, writing, and decision-making. Save routine admin and standard meetings for lower-energy windows.
  • If you are stuck on a problem for 10 minutes or so, stop forcing it at the screen. Get up and walk without looking at your phone.
  • Protect your early waking period for idea work when possible. Capture thoughts, sketch concepts, or outline problems before email and meetings take over.
  • Treat slight discomfort during learning as useful data, not failure. If you are learning a new tool or model and feel a bit stretched, that may mean your brain is engaged.
  • If boredom is the problem, add challenge or feedback. Increase the difficulty of the task, or break passive monitoring work into actions that require small responses.
  • For managers, build schedules around the kind of work a team does. Put routine meetings after lunch, protect focus blocks, and reserve better creative windows for brainstorming or innovation work.

Notable Quotes

  • "The mind is not like muscle. It rests while it works and it works while it rests." - Mithu Storoni
  • "Humans now influence the productivity of their organization by the quality of their output." - Mithu Storoni
  • On learning in uncertain times: staying in the zone where you feel "slightly apprehensive, slightly jittery," without tipping into panic, is the state that helps people adapt fastest. - Mithu Storoni
The mind is not like muscle: it rests while it works and it works while it rests. — From the episode

Full Transcript

Source: openai 29m runtime

Legal teams face more data and more scrutiny than ever. They need AI built for both. Relativity is the AI platform for legal work, delivering defensible AI that handles the tedious tasks so judgment stays where it belongs, with you. Learn more at relativity.com slash HBR. Welcome to HBR on Leadership. I'm HBR Executive Editor, Alison Beard. On this show, we share case studies and conversations with the world's top business and management experts, hand-selected to help you unlock the best in those around you. We carefully curate this feed from across the HBR portfolio, aiming to help you unlock your next level of leadership. I hope you enjoy the episode. Welcome to the HBR Ideacast from Harvard Business Review. I'm Kurt Nickish. 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 Gen AI 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. 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. Michu Steroni is a neuroscientist, a physician, and the author of the new book, Hyper-Efficient, Optimize Your Brain to Transform the Way You Work. And she joins me now. Michu, welcome. Thank you so much for having me. It's a pleasure to be here. How do you define hyper-efficiency, just based on the neuroscience background that you have? 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 because the realm of quantity is being taken over by AI and technology. Humans now influence the productivity of their organization by the quality of their output. And so my definition of efficiency is really the definition I think we should adopt in this era, this era where knowledge-based work is driven by AI and automation, where efficiency should come from not quantity, but the quality of human work, the quality of ideas. So it's almost like artificial intelligence may be able to do a lot of the color work, work of tasks, busy work. Some people call it that, right? The work that takes time. You may actually have to do less of that now and actually spend more of your time doing harder, higher level thinking. I guess the premise here is that if you want to be able to perform well, you need to have your brain in better shape. Is that a too simple way of thinking about it? You know, a good way of thinking about it is we have spent a very large part of the knowledge work era being the tools that we are now using. Because of this, we have now effectively all become AI managers. So we now have at our disposal this entire armory of tools, of methods with which we are able to produce intangible products. We are able to produce good work. And so we now all need to really think like senior executives, like managers, no matter where we are in this hierarchy. And the way to do it is by not just working in a consistent, constant assembly line-like way, which we have been doing, but by really adopting the right states of mind that allow your work to be of the highest possible quality. As an example, if you're doing a presentation, if you're gathering data or doing some kind of a presentation, you can do it in most frames of mind. But if you think back to the last time you came up with a really insightful idea, where you just had that aha moment and you solved that problem in your head, chances are you were not sitting in front of your computer, looking at a screen. Chances are you were not working to a deadline. Chances are you were not working to complete a presentation at two in the morning. But instead, you might have been doing something maybe unrelated. Maybe taking a break even or going for a walk. The reason why the idea emerged at that point is because what you were doing and how you were doing it set the right conditions for your brain for that idea to hatch. The problem with the way we work right now is if you are working in this uniform, continuous way, you're not giving your brain the chance to enter those optimal states within which it can think, it can produce, it can come up with ideas, the very kind of work that we now as humans are going to increasingly have to do. So you've used this term states of mind. What are those frames of mind, those states of mind? What should we be aware of? So a good rule of thumb is to remember that the mind is not like muscle. It rests while it works and it works while it rests. So when you're doing any kind of work, say you're carrying out some kind of a very complex problem solving, your brain does not just work at the same pace in the same state continuously for that entire block. If you look inside your brain, there are different, you can call it sort of states the brain enters into. Some of these states are decided or influenced by the neurotransmitter neuromodulator norepinephrine. Other neurotransmitters also come into it. But very broadly, there are different states your brain enters and leaves during this process. So for instance, when you are in a state of pure focus, there are certain neural signatures of brain wave through which we can tell that the brain is in the state of pure focus. If your brain is then, once it meets a problem, it encounters a problem and it wants to work its way around it, there'll be moments when it needs to just detach its attention and let its thoughts wander, let its attention wander a little. If you can't concentrate, what should that tell you? So that should tell you that your brain state and your body state are incompatible, but also that your brain needs a different environment to now approach the problem from a different avenue. So for instance, I have some clients and they've adopted a rule, one managing director has adopted a rule of if he's sitting in front of his computer with a problem that he hasn't managed to solve for 10 minutes, he leaves his desk, he goes for a walk. And the reason why this works is you can use your physiology to change your brain's thinking patterns. And there are actually reasons, neuroscientific reasons why it works. Taking a walk, for instance, first of all, it aligns your brain and your body's physiology. Second is it keeps you in the right alert mental state, so you don't just drift off, you don't just fall asleep or feel lethargic or looking at your phone. But at the same time, it keeps your attention moving because your surroundings are moving while you walk, so your attention can't really fix on anything. So it drifts into your head and explores your problems and tries to solve them from different avenues. But at the same time, you can't ruminate because your attention can't stick to one problem for too long because you also have to pay attention to where you're walking. So there is this mixture, this very interesting, very helpful condition created by the process of walking. The body and brain are so connected in this way that you can actually use your body to create, to nudge your brain into optimal states for the different kinds of work you want to do. And the analogy is that there is a reason why we can't daydream while we sprint. I don't know if you've ever tried it, but it's impossible to daydream while you sprint. You can daydream while you run slowly for long distances, but you can't daydream while you sprint. And in many ways, when we're sitting at our desk and performing what is the equivalent to a mental sprinting, we are forcing our bodies to stay in a very different physiological state to our minds while we are working. And this is again a consequence of the way we work, the way we've been used to working for the last hundred years. If you're going through tons of emails, if you're just looking through, reading through data you've just collected, and you're, you know, designing a PowerPoint, but not really designing it, just putting the bits and pieces together, then you can still do it in any kind of state of mind. But if you have all the tools, if you have someone who designs PowerPoint presentations for you, or you have all the data in front of you, how are you going to actually use that data? What is the optimal way of creating a PowerPoint presentation for maximum impact? What creative way can you actually present something? So those are the ideas that will only emerge if you're in the right state of mind. So we've described this, put it in your book, you call gear two as sort of the optimal state of mind where you are really focused for an extended period of time. Can we go through the other states and just talk about the benefits and why, why gear two stands out as maybe the most productive one? Just a little bit of background. We've known for a best part of a century now that there is a hormone, there is a neurotransmitter and neuromodulator in your brain called norepinephrine. And it has a kind of upside down U curve in terms of how it influences the way your mind works when you're doing cognitive work. In the sense that too little is bad, too much is bad. And there's a Goldilocks zone in the middle where your alertness level, your ability to focus your attention is absolutely optimal. That's what I refer to as this gear two state in So instead of sorting through applications, you spend your time talking to candidates who are actually a good fit. Join the 2.7 million small businesses using LinkedIn to hire. Get started by posting your job for free at linkedin.com slash on leadership. Terms and conditions apply. This is all very interesting because I think of a lot of those regular concepts I have, like somebody who says they're a morning person, through this framework, I can kind of think of that as somebody who most easily hits gear two and is productive in what they're trying to do and what they like to do during those morning hours. That means that it's just easier for them to hit gear two and do that during that time. Is that also kind of how you think of it? So through my research, I've discovered that there are actually optimal times during the day when certain cognitive functions, or states, if you like, peak. And one of the problems with the way we work is we enforce a pretty consistent work hour schedule on everyone, regardless of the kind of work people do. So there is research to suggest that when you first wake up in the morning, you go through this time window, this sort of very couple of hour window, where your mind is in this transition area between being very daydreamy, very kind of wandering, not able to really focus hard, and just being able to focus. And practically, it means that there is a time window every morning, just after you've woken up, before you've taken your four espressos or gone for a run, when you're in this slightly mind-wandering, slightly slow-thinking state of mind, which is optimal for creativity. And this creativity sort of window, you're almost out of it by the time you go to work, if you start work at, say, 10 o'clock or 9:30 in the morning, because this time window tends to hit before then. Similarly, there is another time window, creative peak, late in the evening, in the hours when most people are no longer at work. And if your work does involve innovation and creativity, and you start your work at 10 o'clock, or you start your work sooner, but you fill that time window with meetings, you're actually robbing yourself of the peak moments in the day when your creative ideas are most likely to emerge. In the same way, if you think about focused work, so focusing requires a slightly different state of mind than the state you need to be in when you are creating. And we know this because we talked about how creative ideas come to you when you're walking, when you're in the shower, when you're mowing your lawn. Whereas when you focus, you need to focus on a target. It sort of restrains your attention and glues it. That state of mind tends to be more optimally achieved at a different time of the day, namely from around 10 o'clock in the morning to around lunchtime. There's a dip after lunch and then again late the latter half of the afternoon, going into the early evening. Some people who are morning people, others who are night people, their schedule will be slightly shifted sooner or later. But these are broadly the times when work peaks. So instead of imposing the same or using the same work schedule on everyone, regardless of the kind of work people are doing, one way to really achieve those peaks in quality is to work according to these rhythms. What do you do if you find yourself bored by something that you're doing? You know, you're even bored in a meeting. Your mind is not focused. What can you do and how would you approach it? So the reason why many people tend to get bored or boredom arises is because you don't have enough on your plate to grab your attention. And so you're actually having to expend effort to keep your attention fixed to what you're doing. So if you're doing that kind of work, it can feel quite tiring. So one way to help you mitigate that is by actually expanding what you have to do. So making your work more difficult. And though it runs counter to the advice that many people here, actually doing something like multitasking, where you have more channels of information to process, to engage with, that keeps you alert enough to be in the right mental state. One other thing I'd add with boredom, with the concept of boredom, and the way, although automation AI is very helpful, it's also creating certain types of work which become sort of oversight jobs where you're supervising or you're just watching something being done. One of the ways in which we can curate that kind of work to reduce boredom is by adding some element of feedback. So there's a great study done some decades ago on air traffic control simulation. So for instance, if you think of air traffic control, this is a situation where you are watching data, but you're not really acting and you may not have to act at all across an entire day. But in this simulation, they found that doing something as simple as a mouse click every time new data appeared actually kept people more engaged and less bored with what they're doing. So incorporating some element of feedback can also help. Midu, what's happening in your brain when you are learning? So learning has a very interesting relationship with the tension you feel when you feel things are uncertain. When you encounter a situation that is not as predictable as you want it to be, your brain learns itself out of it. So if there's an element of knowledge missing and you can't predict what's going to happen next, your brain steps on the accelerator and tries to process information, grab information and process it as fast as possible to immediately reduce the uncertainty. Now, when it steps on the accelerator to do this, that's what you feel as a kind of tension, as a kind of slight edginess. The trick with learning, especially when you're learning something complex that you need to think about, you need to analyze, so you're not just learning that, you know, don't cross the road without looking both sides next time, but what you're learning is something like, you know, you're learning, okay, this is how this new language model is working. You're learning about the bits and pieces of it. That state of learning is actually optimized when you feel this ever so slight tension in yourself, this apprehension, because the tension, the apprehension you feel is caused by the sudden burst of norepinephrine in your brain that makes you feel tense but it also at the same time primes your brain for plasticity, for learning. Now, this is relevant in today's work landscape because new models, new large language models are rising, evolving in a matter of days sometimes. And many of us are having to change jobs. Many people are having to re-skill. The landscape is highly, highly uncertain and learning is probably the only tool, the most important tool that many workers can embrace to navigate this landscape. Now, because this landscape is uncertain, people are feeling uncomfortable. But at the same time, it's that feeling of discomfort that is priming their brain to learn these tools faster and better. So one skill that I think will be very useful and really, really critical for success in this era is being able to stay in that gray area between feeling apprehensive, very slightly anxious, and falling into a state of panic and stress. So learning how to control yourself, regulate your brain from tipping into gear 3, that sort of anxious, panicky state, and just staying at the top edge of gear 2 where you're still slightly apprehensive, you're slightly jittery, but you have enough self-control and focus to be able to sit down and learn, that is the state that if we can train ourselves to embrace it, will last us and take us far through this era of rapid change. What does all of this mean for managers and organizations? And the reason I ask that is that it's one thing to do these things yourself, to try to optimize your own work. It's another to go against company culture when there are meetings on the calendar at the times that you don't want them to be, when certain team or company norms don't really jive with how your brain optimally works. From an organizational standpoint, from a managerial standpoint, how do you implement some of these practices more collectively? So I think there are three things that I would advise organizations or managers to do for their team that could go a long way to helping team members be in this optimal state, in this optimal state for high-level cognitive work. Given that we've just discussed how the states of the brain can be influenced by the time of day, by the type of work you're doing, by the way you are working, whether you're sitting, whether you're walking, by this kind of heterogeneity of the kind of work you're doing, the first way would be to give teams or sub-teams a very flexible schedule that's tailored to the kind of work they're doing. So for instance, if your sub-team or team is working on a creative innovation aspect of your project, let them come in earlier in the day, protect their first half or first few hours of the day as that's when creativity tends to peak, and then give them a longer lunch break and repeat in the second half of the day. That gives this team the flexibility to really do what they're assigned to do in their best possible way. Similarly, if you have a team working on something that requires focus, concentration, sitting down and thinking, their schedule can be geared this way so they can perhaps come in a little bit later and they would have these peak focus times protected. And meetings can be held, so you have recurrent meetings, which generally tend to be routine meetings. The best time for routine meetings would be just after lunchtime when neither creativity nor focus peak. If you're having meetings that are brainstorming sessions, then you can schedule them in accordance with the creativity slots. So it depends again on the nature of meetings. I would also suggest that managers adopt another practice which some organizations already do, notably Google has, 3M has, and that practice is embracing the importance of letting workers, giving workers, giving your