AI Won't Replace Humans—But Humans With AI Will Outshine Humans Without AI

7 Jul 2026 · 44 min · 15 chapters

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In short

Kareem Lakhani (HBS) argues AI won’t replace humans, but “humans with AI” will outcompete “humans without AI.” He frames AI as rewiring business architecture (value creation, value capture, operating models) and says adoption is inevitable; the main challenge is organizational change, not technology. He also treats generative AI as a major drop in the cost of cognition and urges leaders to experiment in “sandboxes,” run boot camps for everyone, and manage hallucinations, bias, and attribution.

Guest backgrounds

Kareem Lakhani is a Harvard Business School professor specializing in workplace technology and AI; co-author of Competing in the Age of AI (HBR, 2020).

Key claims

AI-first platforms automate transactions via algorithms; executives need continuous AI/digital learning and change-management skills; bans are misguided because workers already use tools.

Notable examples

Google, Amazon/Alibaba, Netflix recommendations; Uber/Ola/Grab taxi expectations; ChatGPT trip-planning; Mozilla’s open-source LLM efforts; bias discussion tied to data representativeness and labeling.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

AI's Impact on Business Architecture

0:04 to 0:26

Discussion on how AI and machine learning are changing business.

“It can help you with practically anything on the web, like restoring a vintage motorcycle from a 50-page restoration block, or finally break down that long article you've had open for weeks.”

AI's Impact on Business Architecture

1:49 to 2:09

Discussion on how AI and machine learning are changing business.

“Talented teams leveraging the right technology to uncover insights that illuminate opportunity.”

AI's Impact on Business Architecture

2:15 to 3:56

Discussion on how AI and machine learning are changing business.

“of these interviews and talk about some of the ideas that come out of them.”

The Role of Automation in Modern Businesses

3:56 to 6:44

Examination of how automation and algorithms drive business efficiency.

“This episode is brought to you by Google Chrome.”

Adapting to the AI-Driven World

6:44 to 10:10

Insights on how companies must adapt to AI technologies and consumer expectations.

“So that was helpful, Karim, but I would guess some of our viewers are listening to you and thinking, yeah, I mean, that's what we've done.”

Learning Imperative and Change Management

10:10 to 14:00

Emphasis on the necessity for continuous learning and effective change management in organizations.

“And finally, the real challenge is not a technological challenge.”

Investing in Employee Learning

14:07 to 14:30

Companies need to prioritize learning for their employees to adapt to changes.

“You think you know a browser, but Gemini and Chrome, that's new.”

The Importance of Change Management

14:45 to 15:46

Change management must be embraced by both companies and individuals, focusing on it as a skill.

“Companies have to embrace this and so do individuals.”

Experiences with Technology Adoption

15:46 to 18:29

Sharing personal experiences of helping older family members adapt to technological changes.

“Skills require acquisition of the skills.”

Generational Technology Gaps

18:29 to 19:11

Discussing the generational differences in technology acceptance and adaptation.

“I think we can throw out our QCats, but otherwise...”
Show all 15 chapters

Generative AI and Business Applications

19:26 to 28:00

Exploring how generative AI can transform business practices and applications.

“So people who, you know, that sounds jargon.”

Embracing AI in the Workplace

28:00 to 30:26

Learn why embracing AI is essential for all workers, not just techies.

“And what I say to people for managers, leaders, and workers is AI is not going to replace humans, but humans with AI are going to replace humans without AI.”

Addressing Bias in AI

30:26 to 33:09

Understand the importance of recognizing and correcting biases in AI systems.

“It's early if you feel like, wow, everybody's moving fast than I am.”

Customer Learning in the Age of AI

33:09 to 35:42

Explore how businesses can facilitate customer learning alongside technological advancements.

“and amplify it or can we correct for it?”

The Future of AI and Sentience

35:42 to 38:26

Discuss the potential for AI to develop emotional intelligence and what that means for the future.

“It's really like that technology that predicts the next word, you know, sort of on steroids.”
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Transcript

Automatic transcript. May contain errors.

0:01This episode is brought to you by Google Chrome. You think you know a browser, but Gemini and Chrome, that's new. It can help you with practically anything on the web, like restoring a vintage motorcycle from a 50-page restoration block, or finally break down that long article you've had open for weeks. Gemini and Chrome is here for it. Ready to make anything online make sense? There's no place like Chrome. Check responses set up required. Compatibility and availability varies 18+. Propel Fitness Water with Gatorade electrolytes, zero sugar, and vitamins. Propel hydrates better than water to help you get the most out of your workout and get back to your best self.

0:37What propels you? Propel with Gatorade Electrolytes.

0:54Hi, and welcome to Harvard Business Reviews, The New World of Work. I'm Adi Ignatius, Editor-in-Chief of HBR. And each week in the show, I interview a CEO, a thought leader, or somebody else interesting who can inspire us and educate us on the changing dynamics of the workplace. whether you're navigating the complexities of a large corporation or the challenges of a small startup, whether you're based in the U.S. or anywhere else in the world, you face your own unique set of issues. So the aim of this podcast is to inspire thought and provide insights as you seek to bolster your business and pave your own path toward career success.

1:30So on today's episode, we have a great guest, Kareem Lakhani of Harvard Business School. I'm going to come back with a proper introduction in just a moment. But first, let's hear from our good friends at KPMG who are sponsoring this season of The New World of Work.

1:48At KPMG, it's our people who make the difference for our clients. Talented teams leveraging the right technology to uncover insights that illuminate opportunity. Ready to make the difference together?

2:07All right, just a couple more things before we start. If you're an HBR subscriber and you're watching this, you can head to hbr.org slash newsletters to sign up for the New World of Work newsletter, where I try to offer an inside look at each of these interviews and talk about some of the ideas that come out of them. And if you like content like this, please subscribe to our magazine and website. The address is hbr.org slash subscriptions. And if you like hearing smart people talk about some of these same issues, be sure to check out our flagship podcast, IdeaCast. available wherever you get your podcasts.

2:40And lastly, remember, you can watch previous episodes of this show on YouTube or right here on LinkedIn and Facebook. So let's get on with it. My guest this week, as I said, is Kareem Lakhani, a professor at Harvard Business School who specializes in workplace technology and particularly AI. He's done pioneering work in identifying how digital transformation has remade the world of business. And he's the co-author of the 2020 book, which HBR published, Competing in the Age of AI. So, Karim, welcome to the show. So glad to be here with you today, Adi. Thank you for the invitation. So there's a lot to talk about, and I definitely want to talk a lot about generative AI, but maybe once we get to it, I don't think we'll get off it.

3:22No, exactly. But so when you co-wrote a piece for us a few years ago, and it's reflected in your book, where you say, you know, machine learning has basically changed the very rules of business. So that's a big statement. Tell us a little bit about what you mean by that. Yeah. So, look, it's been a real pleasure working with HBR and your editors for the last 15 years of my academic career. And the book really was a partnership between Marco E. and Citi and Amy Bernstein, one of the editors at HBR, as we created this book. And what Marco and I noticed in about a decade's worth of research and spending time with companies, both writing cases, as advisors, as consultants, and so forth, was that the nature of the corporation, which really was established, the modern American corporation, which became the blueprint for the modern international corporation, established in the 1920s and 30s, was changing foundationally because of technologies like AI, like machine learning.

4:26And what we observed was that the entire business architecture in many of these AI-first companies at that time, you know, in terms of business model, how you create value, how you capture value, and your operating model, how you deliver. This episode is brought to you by Google Chrome. You think you know a browser, but Gemini and Chrome, that's new. It can help you with practically anything on the web, like restoring a vintage motorcycle from a 50-page restoration block, or finally break down that long article you've had open for weeks. Gemini and Chrome is here for it. Ready to make anything online make sense?

5:00There's no place like Chrome. Check responses set up required, compatibility and availability varies 18+. Propel Fitness Water. With Gatorade electrolytes, zero sugar, and vitamins, Propel hydrates better than water to help you get the most out of your workout and get back to your best self. What propels you? Propel with Gatorade Electrolytes. The value, how you achieve scope, the number of customers you serve, the number of products you have, scale, the number of customers you serve, and learning. These fundamental parts of a business architecture were being rewired because of machine learning and AI and digital technologies.

5:39And so, you know, if you just sort of reflect for a bit on your experience using Google, for example. Much of your Google experience is fully automated from the ads you see to the search you do to if you're using Gmail, how you interact with them. And so it's not people that do those activities. It's the algorithms that make that happen. Similarly, your experiences with all the large e-commerce platforms like Amazon or Alibaba, let's say in China. If you imagine what happens at Netflix, for example. Again, all these examples we've been using, but these companies work in a fundamentally different way than a company like General Electric, where I grew up, right out of college and my first job were set up.

6:31And these companies, the machines and the algorithms at the center, the work is automated. The humans are actually designing the algorithms and testing them and checking them, making sure they're working within bounds. But the actual transactions and activities are being mediated through the machines. So I'm guessing that, first of all, if you're watching this, if you have your own questions for Kareem about digital transformation, about generative AI, which we'll be talking about in a moment, please put them into the chat and I'll try to get to audience questions later. So that was helpful, Karim, but I would guess some of our viewers are listening to you and thinking, yeah, I mean, that's what we've done.

7:11And others are thinking, I'm not sure we're on that journey or we're far enough along on that journey. So my question is, what's your advice to people who are listening to this? You're like, yeah, I get it. I get that there's value here. I'm not quite sure if my company is right for this or I'm not quite sure what the next steps are. Yeah, absolutely. Look, first I would say is that I think most companies will not have a choice but to adopt AI and to adopt digital at the core functions. In many ways, you're personalized as mediated through your transactions, through your smartphone, you know, through, you know, through these devices and how you interact with consumer technology products and so on and so forth.

7:52You're already living in an AI age. and the the thing i would say which is so interesting to me is i learned this from some conversations i had with folks in india you know they said you know we have some some folks who get mad when your uber car or your ola car or your dd car or your grab car doesn't show up in three minutes right like you want this magical taxi experience you put you go on your app you press the thing boom it shows up and if it's gonna be five or seven minutes you get you gotta kind of get mad. And, you know, I'm reflecting on when I first moved to Boston in 1997, and it would take me a week to book a taxi in Boston.

8:29You know, and so now we get mad. And similarly, if there's a transaction dispute on Amazon or Uber, automatically solved, done. But the same people, the same executives in their own companies are completely satisfied if a customer service interaction can take two weeks, if onboarding a new vendor takes six months, you know, and so So we're living in this disconnected world where most people, most consumers are living in this AI-first world in their experiences with many of these platforms. And then they encounter our companies and our organizations, and they're like, what is this? And so my sense is that this is inevitable.

9:08This transition is really inevitable. And for the folks that are behind, the good news is that the cost to...

9:41There's no place like Chrome. Check responses set up required compatibility and availability varies 18 plus. Propel Fitness Water with Gatorade electrolytes, zero sugar and vitamins. Propel hydrates better than water to help you get the most out of your workout and get back to your best self. What propels you? Propel with Gatorade electrolytes. To make the transition keeps getting lower and lower. The playbook for this is now well known. And finally, the real challenge is not a technological challenge. I would say that's like a 30 % challenge. The real challenge is 70%, which is an organizational challenge.

10:21You know, my great colleague Sadal Neely talked about the digital mindset. Every executive, every worker needs to have a digital mindset, which means understanding how these technologies work, but also understand the deployment of them. And then the change processes you need to do in terms of your organization to make use of them. It's really interesting because we think about this. I mean, we're a relatively small publisher compared to some of the giants out there. but when people come to our site and are searching for articles by Kareem Lakhani I mean they're used to a Google sort of search experience when they want to buy a product from us they're used to an Amazon and anything short of that it's like your Uber example there's a frustration and expectation so we have to find ways to lift our game without the resources whether it's through partnership or other things because it's table stakes people just expect the best experience in every experience they have A hundred percent.

11:18And, you know, like if I look at my teenage daughter, you know, she's like, she has no patience for old lion companies. She just gets mad and just is like, what is this? You know? And so, absolutely. So anyway, so the next big wave, again, we're going to talk about it. I keep teasing it, but it's generative AI, but that won't be the last wave. And quantum will hit us at some point and things we can't even anticipate will hit us. So how do you prepare for that? I mean, how do you create a kind of, I don't know, culture or mindset or organization that knows that there will be unexpected waves of technology.

11:57They'll come. We'll have to figure out if they're relevant to us or not. And if they are, we need to adapt quickly. Is there a general way to think about that? Yeah. Yeah. Yeah. Thank you for that question. And in fact, I've been pondering this quite a bit. I think there are two imperatives for most executives. for most managers, for most leaders. One is a learning imperative. This is again, Sadal's work on digital mindset, my work. There's lots of learning you need to do and the learning has to be continuous. And the idea is that not that we want you to become AI engineers or data scientists, or get a PhD from Stanford or Harvard or MIT or Xinhua University or Oxford University, you know, from the IITs in machine learning.

12:43but as executives, this is now table stakes. You know, and the way I think about this for, you know, at the MBA program for us, you know, people come to the Harvard MBA program and, you know, we have a first year as a required curriculum. There's 10 courses and one of them is accounting. Okay. Now I can tell you accounting is a very important profession, but most MBAs that join HBS don't want to be accountants, but they need to learn accounting because that's the language of business. That's the ways in which you think about our value is kept track of, our expenses are being tracked of, and so on and so forth.

13:19Super important. And you don't take the accounting course to become an accountant, but you need to understand accounting so you can be a good business person. Same thing now with digital technologies and machine learning. Like you need to understand the machine learning stuff and the AI stuff, not because you're going to become an AI engineer or an AI scientist, but because that is now going to be a critical table stakes for you to understand how business works. So there's a learning imperative. And I don't think we can take away the learning imperative anymore. Now, look, I'm self-centered about this.

13:49I'm self-interested. I'm in the learning profession. That's what I do. So I want to sort of caveat that. But I want to just insist that I think the learning journey does not stop. And you have to invest in your own personal learning. And I think companies need to invest in the learning for their own employees. This episode is brought to you by Google Chrome. You think you know a browser, but Gemini and Chrome, that's new. It can help you with practically anything on the web, like restoring a vintage motorcycle from a 50-page restoration block, or finally break down that long article you've had open for weeks.

14:19Gemini and Chrome is here for it. Ready to make anything online make sense? There's no place like Chrome. Check responses set up required, compatibility and availability varies 18+. Propel Fitness Water. With Gatorade electrolytes, zero sugar, and vitamins, Propel hydrates better than water to help you get the most out of your workout and get back to your best self. What propels you? Propel with Gatorade Electrolytes. It's a two-phased conversation. Companies have to embrace this and so do individuals. But the second bit, I think, Adi, is equally important, which I think is completely underrated, which is change and change management and change becomes a skill for managers and for leaders and for executives.

15:07How you change, how you continue to change, how you build the DNA for changing becomes very important. At a time, I was in Asia a month ago and had a chance to spend some time with Mickey McAtani at Rakuten. And, you know, one of the things that's amazing is what he has thought about as change as a core competency for all workers and for all employees. Right now, most change programs are viewed as skepticism, flair of the month, blah, blah, blah. And people resist. People resist. I think the best companies would be the ones that can understand how change becomes a skill. And if you think about change as a skill, what does that mean?

15:48Skills require acquisition of the skills. You've got to invest in learning. What does it mean to change? It requires practice. You've got to keep changing as well. And it requires adjustment. Once you've learned how to change, how do you provide that to everybody else? So those elements, I think, will become a key, key part of the ways in which leaders need to adapt to this world. Yeah, I think that's great. You know, it can be generational and it should not be generational. I mean, I always think that, you know, when you come of age, when you join the workforce, there's a certain suite of technology that is just you grew up with it and you're comfortable with it and you are part of figuring out how to use it.

16:28And then subsequent ways, you know, a lot of us hit a point where, yeah, that one seems stupid. And, you know, for my father, who's still alive at 102, that was email, right? So, you know, you can't, you just, you got to keep trying. You got to keep experimenting. You have to keep trying. You know, Adi, such a good point. And I have to tell you, around COVID, I had this experience with my mother, who lived in Toronto, and my in-laws were also living in Toronto. So, you know, when the things sort of eased up a bit and in November of 2022, when Thanksgiving was on, we were able to fly them back to have a reunion with them.

17:10And, you know, in 2020, sorry, November 2020, when things eased up a bit with the vaccines and so on and so forth, we were able to, you know, bring them over. and our reason the dates but around that time one thanksgiving and covid and if you recall traveling even just crossing the border from canada the u.s was very difficult because you had qr codes and apps galore canada needed all this stuff to exit u.s needed these stuff to enter and the same thing for entry as well um and i looked at how sadly how helpless my in-laws my parents were with these technologies. They were just like lost. And my wife and my daughter and I had to spend a ton of time with them, holding their hands to go through these things.

18:00Now, of course, the UX was terrible and all that kind of stuff. But we figured out how to do it ourselves. But they were stuck. They couldn't adjust. And then as I reflected on that experience, I said, oh, this is what's happening to most executives. This is what's happening to most companies. It's like they're like the senior citizens, the elderly who have resisted the technology, have not really embraced it, and now have no choice but to deal with it, and are frozen and need a ton of help. And that's what the thing that we have to get over as we think about this. Yeah, that's great. I think we can throw out our QCats, but otherwise...

18:36Yes, yeah. I remember that. I'm a QCat still. Old joke for those in publishing. Yeah, I know. This dates us.

18:50That's new. It can help you with practically anything on the web, like restoring a vintage motorcycle from a 50-page restoration block, or finally break down that long article you've had open for weeks. Gemini and Chrome is here for it. Ready to make anything online make sense? There's no place like Chrome. Check responses set up required compatibility and availability varies 18+. Propel Fitness Water. With Gatorade electrolytes, zero sugar, and vitamins, Propel hydrates better than water to help you get the most out of your workout and get back to your best self. What propels you? Propel with Gatorade Electrolytes.

19:26So let's talk about gender and AI. So people who, you know, that sounds jargon. Oh, by the way, you referred to earlier to Sadal, and I just want to fill out that's Sadal Neely, who is another great guy. Professor Sadal Neely, you know, senior assistant dean of the Harvard Business School, my good friend, and author of another great HBR book called The Digital Mindset. Absolutely. So, all right, gender and AI, you know, for people who aren't, you know, conversant, and probably most of you are now, But but this is this is, you know, large language model learning predictive, you know, chat GPT BARD being all these things and You know, I I like to say that there were sort of three waves The first was we we played with this technology, you know when it came out and whatever it was November of last year Yes, and we tried to break it by you know, that's chat GPT.

20:11Are you in love with me? And then and now we're trying to figure out, you know, how to use it and and and and the use cases are happening So first question for you, like, where are you in the hype cycle? Because technology has come and go. And there was a sense with this one that everyone, everyone basically said, okay, this is different. This is important. This is transformational in ways that few technological innovations are. But where are you on that? I'm on the, like, holy crap, this is transformational. Yeah. Yeah. So look, the way I think about this is it's actually worth to sort of pause and look at history a bit.

20:49And since I studied technology and business, something transformational happened 30 years ago, approximately as well, which was the browser. The browser got invented. And if you sort of think about the browser, there was 30 years of the Internet. The browser gets invented and people were like, oh, my goodness, look at this. And I remember I could still see as clear as day when I first found the browser. And I was working at General Electric. I was at a conference for radiology. And one of my clients, a radiologist at St. Paul's Hospital in Vancouver, showed me the browser. And the thing he showed me was the Oxford coffee pot.

21:27I'm like, huh, interesting. Like, all of a sudden, the Oxford coffee pot has global distribution. Anybody that has a web browser and internet connection can use it. So there's 30 years of internet in the basement in the bowels of companies. We didn't understand it. We saw what was coming. It was coming. It was Usenet. There was Gopher. There was Telnet. There was FTP, all these kinds of things. The browser showed what the world would look like. And the initial applications were queued applications. And people were like, ah, this is nothing. This is whatever. But fundamentally, from an economics point of view, what the browser did is that it lowered the cost of information transmission dramatically.

22:07And then last 30 years, we've been living through the build out of the internet and waves and waves of the internet changing more and more and more industries over and over again. We've all lived through that. Just imagine this right now, right? We are broadcasting live to, I don't know, thousands of people and more people will sort of be looking at this broadcast at relatively zero marginal cost to us to do this. It seems unbelievable compared to 1993. where you need a massive TV studio, massive broadcast studio, satellite dishes to be able to do what we're doing right now. And so the cost of information transmission went to zero, and the new companies formed Google, Amazon, Facebook, you name it, e-commerce got invented, and so on and so forth.

22:56And so that is the world that we are coming out of, the internet era is what we're coming out of. And the same things happen with generative AI. There's been 20 years of AI being deployed at scale inside of many tech companies, the ones we've used in our examples in our book. And that was in the basement. So your Netflix movie recommendations, your Google search results, your Amazon recommendations, your Spotify music results, your car access, all that was being your ways access, your directions. all that was being empowered by by ai tools even your spam killers remember how bad spam used to be in for a while and then overnight it went away because people deployed machine learning systems to those things early machine learning systems to those things now now now how do we think about generative ai so my view is generative ai is a drop in the power in the cost of cognition and how we think.

23:56So if the internet was one of cost of information dropping to zero, my sense is that the cost of cognition, how we think, who we think with, is dropping to zero with or lowering significantly with this. And that has, you know, significant ramifications for this. And I have to tell you, I had to like sort of do a major pivot, even in my research side, on what to do with this. I was doing a lot of stuff around AI adoption and so on and so forth, a lot of research, a lot of nerdy research. Only like three people I will read. But we have gone, my whole institute and my labs have gone big time into figuring out what this means for knowledge workers, for managers with generative AI.

24:42Yeah, well, let's talk about that. Because I think, again, for our viewers, probably some of you are well conversant or using it, whether it's for fun or to try to figure out work applications. There are, you know, products available that are that are using this, you know, they're rolled out pretty quickly. How to think, you know, is there a way to think about this generically? You know, what is, you know, for a generic company, if there is such a thing, what how do they think? How how should they think about using generative AI? I mean, we've seen the amazing things it can do. We've seen the hallucinations that that they can create that that provide the confidently provide.

25:18Yes. Errors. Yes. So how does the business think about, is there a generative AI application that is significant for my company and how do I figure that out? Yeah. So first of all, I think we're at the super early stages of this hike, of this cycle. And if you think about it, the first web browser was like Mosaic and then Netscape and then Explorer and Mozilla and so on and so forth came about. So I think you should just think, and then all the applications are top. So I think we are at the early stages. The rate of innovation and the rate of improvement is increasing rapidly and it keeps increasing.

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25:56And the rate of application development is also increasing rapidly. The first thing I would say is that the places where you can apply it is in many ways like, well, where do you apply thinking? Well, where else could you apply this, right? With all the caveats about hallucination and bias and so forth. So the first thing I would sort of say is that I think if you sort of step back and say, what should leaders do? What should managers do? What should executives do around this thing? One is to start thinking about and start practice in their own sandboxes what the use cases may be. We're seeing tremendous use cases, for example, just in sort of content generation, like our work, us as knowledge producers and that's changing rapidly.

26:37You know, now I use ChatGPT as an amazing research associate, you know, thought partner, copy editor, you know, idea generator. I can tell you one thing. I was, you know, I was in Asia. My wife was with me on my trip and I wanted to actually have some time for, for a break as well. So I went to chat GPT and I said, you know, this is me, it's my wife. Here's the kind of vacations we like. Can you please give us ideas of a place that would be about three hours from Singapore that we would go to and I prefer a beach. Boom. Right. You know, in, in microseconds, I got many recommendations. And then through a conversational setup, I found the place that we wanted to go to.

27:19And it was a hidden place in the South China Sea off Indonesia. And it was incredible. It was incredible. And that I would not have discovered even with my travel agent. So just even in that activity, just imagine what we can now start to do with this. And so what I would sort of say is that the thing that managers and leaders need to do is step one, start using it. I think the bans on chat GPT and on these things are misguided in many companies. It's already on my phone. It's already people. There's 100 million users. It's already there. So I think executives and IT departments and legal departments are fooling themselves.

27:58They don't think their workers are already not using these tools. And instead of pushing against it and saying, no, you need to embrace it and run boot camps, run use case analysis, Figure out where it's hallucinating in your use cases and figure out where it's actually going to be very helpful. And what I say to people for managers, leaders, and workers is AI is not going to replace humans, but humans with AI are going to replace humans without AI. And this is definitely the case for generative AI. And so the first step is begin, start experimentation, create the sandboxes, run internal boot camps.

28:32And don't just run boot camps for technology workers. Run boot camps for everybody. Give them access to tools. figure out what use cases they develop, and then use that as a basis to rank and stack them and put them into play. Yeah, I agree with that. I mean, we have to think about that as a publisher. You know, there's some publishers who say, we will not take articles, you know, papers that are, that are, you know, where generative AI has been evolved. That, similar to me, doesn't make sense. It's like saying, don't use Google. I mean, how will they know? How will they know? How will they know?

29:04And it would be like saying, don't use Google. It's a tool. So what we're saying, though, is that the responsibility more than ever is on, you know, the person with the with the byline on this piece. That was true. You know, you didn't want to just use Google search results or just use Wikipedia results. You need to to, you know, verify and do a little bit more than that now more than ever. Because because you you may be relying on. No, absolutely. And, you know, as scholars, you know, we republish, again, these nerdy papers that very few people read. And we are the same crisis. Right. Because, you know, like, well, if I use a RA to come up with ideas, is do I have to acknowledge the RA?

29:37Is the RA in a co-author? If I use a copy editor, I typically don't acknowledge a copy editor for my article, but they're super helpful. Should that be, like, attribution becomes interesting. There's so many important questions at play just as writers and producers. But my advice to everybody is, and the best place to learn, Adi, is YouTube. YouTube has, oh my God, so many tutorials in so many domains. And very soon, it'll be down the rabbit hole. is learn and adopt and practice and practice. Yeah, and I think there's a trap that sometimes people feel like if they don't jump on the wave immediately, somehow it's too late.

30:18No, no, gosh, no. And I think it's really important. It's early. Oh, my gosh. Kareem, if you're right, this is truly transformative. It's early if you feel like, wow, everybody's moving fast than I am. Catch up, whether it's YouTube or just doing some reading and figure out how to apply this. So let me go to some questions from the audience because there are a lot coming in. And, you know, so this is from Vena from somewhere in the U.S. And it's really, you know, Vena is saying that AI machine learning, this is somebody's code. It comes with biases and assumptions built in. You know, it's a topic we think about a lot.

30:52But, you know, what's your view? How can the industry ensure that there isn't sort of a monopoly on, you know, how we think and how we're biased and the assumptions that we make? Yeah, yeah. So look, I, as an individual, you know, I'm part of Mozilla, Mozilla.com. We made a Firefox browser owned by an open source foundation, Mozilla Foundation. If you love Firefox, if you haven't used Firefox in a while, go back and use it again. But we just set up Mozilla.ai. And the idea is that we want to create open source large language models as well and enable, create the tooling that enables many people around the world to also have larger language models suited for them.

31:34And our view is that we can build tools to, A, detect bias and to fix bias and to fix all the craziness that these larger language models can do. So I'm actively working and trying to create and support organizations that do that. I would say that the first thing that we need to think, though, is to step back and say, the world is biased we had bias before there was ai ai is just amplifying it and making it apparent the world is biased you look at the the unbelievably bad treatment african americans receive in our health care system in our financial system and so on and so forth in the u.s right or if you go to some other country there's always been discrimination without ai ai is helping to amplify it and so the response the ethical responsibility for us as leaders has to be that we have to understand what is biased today in our systems right so how and then then let's translate to ai well certainly how representative is your data how representative is your is your training how representative is your labeling those are essential essential questions that need to be now part of again the executive conversation that's where the learning mandate doesn't stop because you have to understand how these machine learning systems are built for you to understand what the biases are and how you might get sued or be put in jail for god's takes, right?

32:54If you don't follow through on these things. And so, so this, this is super important, but I want us to also be aware that we need to think counterfactually. There's always this bias in the world. And now let's imagine a world with AI and is the, is it going to take the bias world and amplify it or can we correct for it? Can we recognize it for it? So that's going to be very important. Yeah. It depends maybe on ultimately if you're a techno optimist or a techno pessimist, Yes. I tend to be on the optimist side. Yeah. So there are a million questions coming in on this topic, and we're not going to be able to get to them all or even close to all.

33:30But this is sort of a different question that's come in. But I think it's kind of interesting. This is from Janelle in Washington, D.C. So, you know, we were talking about dealing with waves of technology and changing and adapting. So the question from Janelle is, you know, we've been talking about how your employees can learn and adapt. But how do you help the customer learn? Because sometimes that's the learning arc that you need to accelerate for your business to kind of go to where it wants you. I think that's a great question. I think customers tend to be ahead, I think. I think what happens was, you know, what's interesting, I was in sales and marketing for four years at General Electric.

34:08and what would happen would be so interesting is because the my customers knew what i had and what i didn't have and what we're good at what we're not good at they wouldn't talk to me about things that we were not good at or we weren't exploring so i never got that message until much much later i you know i discovered like oh you're interested in this oh we've got some nascent product whatever they said no we knew ge was not was not going to be good here so we didn't we didn't talk to you So I think you'd be surprised, especially today's customers, because, again, as I mentioned, all of them are living, including yourselves, Janelle, are living in a digital age with our smartphones and our capabilities and so forth.

34:49So you'd be surprised at how fast they adapt. And in many situations with other companies, they're already further down the pike than with you. And so we get the wrong signals from our sales teams, from our marketing teams, even from our focus groups, because we actually don't observe customers in situ. and see what's going on. And again, you think about the median user of Facebook, I think they're like 50 or something right now.

35:20So, I think adoption is no longer as big a deal than I think we think it is. My generation ruined MySpace and now we're gonna ruin it. I know, look at that. Now we're aging out of Facebook too. We'll get TikTok next. So last question. And again, I wish we had more time, but, you know, maybe the new wave of how people are thinking about gender of AI is, you know, it refers to an explanation. It's really like that technology that predicts the next word, you know, sort of on steroids. But then it sort of evolved into this almost feels like a sentient, you know, the machine is developing this kind of emotional intelligence or that we may be on the path to that.

36:02Is that, what's your view? Is that a pure illusion? Or are we heading towards something that will at least feel like an intelligence and an emotional intelligence? What a good question. The first thing I always say, you know, is be kind to your robots. Okay? So always say please and thank you when you're using chat CPT or BARD. I do that as a principle. I tell everybody, be kind to your robots. because if the sentience moment shows up, all the data will be there, all the history of our records with these systems will be there, and you don't want them to get pissed off because, hey, Kareem was a bad actor for us.

36:43So always be, you know, like, you know, I'm an ardent atheist, but I still say, inshallah. And who knows? Just in case. Hedge your bets. Hedge your bets, you know? So like I say, inshallah, we should always say please and thank you to your robots. That's the first thing The second thing is right now the the human-like Responses are a statistical illusion. They absolutely are. They've just been well trained by humans to respond like humans And they've used all of our texts and all our videos to be human-like in many ways but it's in the end it's a statistical computational illusion But I should tell you, I got a little bit of a wake-up call on this.

37:28I felt like this stuff, like the strong AI stuff that has been talked about, all this stuff is like what we call weak AI. The strong AI stuff is decades away, decades, multi-decades away. But in conversations with leaders at Harvard, at the Kempner Institute, which is the new Institute for Natural Intelligence and Artificial Intelligence, so that marrying biology with AI and AI with biology. so two amazing scholars amazing world leaders both in neuroscience and machine learning I said hey guys this is PG &GPT as well by the way I said hey guys what do you guys think how far away is this strong-yout world they said 20 years and I was like whoa I'm not ready for that but you know the world experts people that know better than I do on this thing are saying 20 years it might even be faster the thing that's interesting to me Adi is we may not even know when it has sentence, right?

38:23Because it's like, we assume human-like forms on alien intelligence, on intelligence. But, you know, if you read a lot of science fiction, like I do, you know, maybe alien life is going to be carbon-based, but maybe not. Maybe they'll have a different metabolism, so maybe different neural systems. And you need to be ready for that. So we may not even know it. That's the thing. And I think, you know, there's a paper that was at Harvard recently called first contact. Some, some, some machine learning expert at Microsoft wrote this paper. And I was like, wow, that's pretty, pretty radical. Yeah. This is fabulous.

39:00I we're going to have to get you back on the show. Cause there's a lot more to talk about. And we didn't even get into the congressional hearings on, on aliens. So just a half step away from that. So that was, this is, that was best. It's been Kareem Lakhani, Harvard business school professor. Kareem, thank you very much for being on the show. Great to be here with you, Heidi. Okay. See you soon. All right. So I want to thank you all for joining us today. Just a reminder, you can watch previous episodes of the show on YouTube or right here on LinkedIn and Facebook. Now, be sure to join us next week on Wednesday, August 9th at 12 noon Eastern time when my guest will be Andrew Liveris.

39:36He's the former CEO of Dow Chemical, who in that job got credit for pushing an ambitious sustainability agenda at the company. He's also the author of a new book, Leading Through Disruption, A Changemaker's Guide to 21st Century Leadership. And we'll be talking about how inspired leaders can best adapt to the challenges that keep getting thrown their way. Again, if you're an HBR subscriber watching this, you can head to hbr.org slash newsletters to sign up for the New World of Work newsletter, where I offer an inside look at each of these interviews each week and talk about some of the ideas that came out of them.

40:08And again, if you like content like this, why not subscribe to our magazine and website? The address is hbr.org slash subscriptions. And finally, we want to thank our friends at KPMG, who are our sponsors for this season of The New World of Work. And I want to thank all of you for tuning in today. I'm Adi Ignatius, and this is The New World of Work.

40:44Thank you.

From the publisher

AI Won't Replace Humans—But Humans With AI Will Replace Humans Without AI

3 Aug 2023

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The first step business leaders must take is to experiment, create sandboxes, run internal bootcamps, and develop AI use cases not just for technology workers, but for all employees.

For this episode of our video series “The New World of Work”, HBR editor in chief Adi Ignatius sat down with Harvard Business School professor Karim Lakhani, an expert in AI and machine learning.

This interview part of a series called “The New World of Work,” which explores how top-tier executives see the future and how their companies are trying to set themselves up for success. Each week, Adi will interview a leader on LinkedIn Live — and then share an inside look at those conversations and solicit questions for future discussions in a newsletter just for HBR subscribers. If you’re a subscriber, you can sign up for the newsletter here: https://hbr.org/my-library/preferences?movetile=newworldofwork.

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