We're sunsetting PodQuest on 2025-07-28. Thank you for your support!
Export Podcast Subscriptions
cover of episode Reid Hoffman on AI ‘Superagency’

Reid Hoffman on AI ‘Superagency’

2025/1/28
logo of podcast Masters of Scale

Masters of Scale

AI Deep Dive AI Chapters Transcript
People
B
Bob Safian
R
Reid Hoffman
Topics
Reid Hoffman: 我认为AI可以赋予人类超级能力,而‘超级代理’的概念指的是,当许多人都获得这种能力并互相受益时,社会将会发生怎样的变化。AI如同汽车和电话一样,是一种通用技术,它可以增强我们的信息导航和决策能力。人们对AI的恐惧在于它可能限制人类的控制,但‘超级代理’的概念则认为,AI可以赋予我们更多控制权,尽管方式有所不同。技术进步对‘代理’的影响并非简单的累加,而是会带来转变。我们应该学习和使用AI技术,并通过迭代部署来逐步适应。AI可以帮助我们完成难以独自完成的任务,也可以在我们不知情的情况下为我们做事,关键在于心态。积极的心态会带来积极的结果。学习和使用新技术需要一个过程,一开始可能会害怕,但最终会获得更多能力和体验。我们对AI的信任是层层递进的,例如我们信任Uber司机,而司机信任地图应用。使用AI可以减轻我们的认知负担,让我们有更多时间做更有价值的事情。 我通过与ChatGPT合著书籍和创建数字分身来展示AI的潜力,并试图消除人们对AI的误解。我希望人们对AI更多的是好奇而不是恐惧,并认为AI的益处不仅限于个人,也惠及他人。AI可以改善医疗保健等领域,即使我们自己不直接使用AI,也能从中受益。人们会逐渐适应并接受新技术,就像汽车一样,最初被认为很危险,但最终带来了巨大的好处。 我的写作目标读者是那些对AI持怀疑、不确定或恐惧态度的人,希望他们能够增加对AI的好奇心和希望。我也希望这本书能够帮助技术人员理解人们对AI的担忧,并以增强人类能力为设计理念来开发技术。技术人员在设计AI时,应该关注如何增强人类的能力,而不是仅仅考虑如何替代人类的工作。AI可以更好地完成一些重复性工作,而人类应该专注于更有创造性和表达性的工作。人们更应该担心的是如何更好地利用AI,而不是担心AI会取代自己的工作。技术可以解决技术带来的问题,例如AI可以帮助人们学习新技能,找到新工作。AI将成为一项新的职业技能要求,人们需要学习如何使用AI。AI可以帮助人们找到新的工作机会。我们需要有意识地引导技术发展,避免重蹈覆辙,更好地应对技术转型带来的挑战。学习新技能和适应新技术是不可避免的,但我们可以通过有意识的努力来减少痛苦,创造更多机会。我们正处于认知工业革命时期,需要吸取历史经验教训,更好地应对技术转型带来的挑战。 我更担心的是AI被恶意利用,例如被流氓国家、恐怖分子或罪犯利用。我参与到国际安全和全球条约的制定中,以规范AI的使用,特别是自主武器的使用。制定AI相关政策需要技术专家和其他方面的专家共同参与。技术发展不仅取决于技术公司和监管机构,还取决于客户、投资者、员工等多个利益相关者。AI的发展需要人文教育的参与,以确保AI的设计和使用符合人类的利益。新政府对AI的关注度很高,并致力于发展美国在AI领域的优势。新政府正在努力发展美国在AI领域的优势,并制定相关政策。新政府的政策可能带来新的机遇和挑战,企业领导者需要做好应对不确定性的准备。当前的政治和经济环境充满不确定性,企业领导者需要做好应对波动和危机的准备。企业领导者应该在应对不确定性的同时,积极寻找新的机遇。 Bob Safian: 人们对AI的担忧,一部分源于对社交媒体和智能手机等先前技术的负面影响的反思。人们对新技术的担忧是普遍存在的,即使没有社交媒体和智能手机的负面经验,人们也会对AI产生担忧。互联网和其他新技术也带来了很多好处,关键在于如何利用新技术,并解决其带来的问题。新技术的优点往往被人们迅速接受,而缺点则会逐渐显现,需要不断迭代和改进。创新和安全是相辅相成的,我们需要在技术发展过程中不断改进安全措施。迭代部署和广泛参与对于创造有益于社会和人类的技术至关重要。在不久的将来,人们会在工作中使用AI助手来帮助完成任务,例如记录会议内容、提出建议等。AI助手会在人们工作或有目标地进行对话时发挥作用。作者最担心的AI风险是其可能被恶意利用,例如被流氓国家、恐怖分子或罪犯利用。新政府的政策可能带来新的机遇和挑战,企业领导者需要做好应对不确定性的准备。当前的政治和经济环境充满不确定性,企业领导者需要做好应对波动和危机的准备。企业领导者应该在应对不确定性的同时,积极寻找新的机遇。

Deep Dive

Shownotes Transcript

Translations:
中文

Most customer relationship management systems were built for yesterday's businesses. Atio is built for what's next. Atio is an AI-native CRM built specifically for the next era of companies. It adapts to your unique company's specific operational needs and scales with any business model by syncing with your organization's emails and calendars.

The best part? With Atio, you can build AI-powered automations and use its research agent to tackle some of your most complex processes, freeing you to focus on what matters, building your company. Head to atio.com slash MOS for 15% off your first year. That's A-T-T-I-O dot com slash M-O-S.

Would you rather have a radiologist read your x-ray scan or would you rather have a radiologist with an AI read your x-ray scan? And the answer is radiologists with an AI every day of the week, eight days of the week, because that then gives me a much better health outcome. And so the society that you experience in this kind of super agency is when many people get the same superpowers, you know, all together, and we're all benefiting from our own and from others.

That's Reid Hoffman, the co-founder of LinkedIn and founding host of Masters of Scale. Reid is always instructive to talk with, especially about AI, which he has ardently championed as a founder, as a Microsoft board member, and as an author. He's just released a new book called Super Agency about the fast-evolving AI era. Today, we dig into it. So let's get started. I'm Bob Safian, and this is Rapid Response.

I'm Bob Safian. I'm here with Reid Hoffman, co-founder of LinkedIn, partner at Greylock, founding host of Masters of Scale. Reid, great to see you.

Great to see you as always. So you have a new book out today called Super Agency with co-author Greg Beato. Some people have called the book a surprisingly positive take on AI and on humanity. Now, I think the surprise is less about you being optimistic than about the topic, that there's so much skepticism right now about the future of both AI and of humanity.

Can you start first by defining the word agency, regular old agency, and then sort of what super agency is beyond that? So agency is our ability to kind of express ourselves in the world, to make choices, to configure our environment, to say, you know, this is kind of what I want to have happen to me, to my environment around me. And obviously nobody has infinite agency, but we all have some agency and we aspire to that as part of what we do.

AI, like other kind of general purpose technologies that have come before, gives us superpowers. And superpowers like, you know, car give you superpower for mobility. You know, the phone gives you superpowers for connectivity and information. And AI gives you superpowers for kind of the entire world of kind of information navigation, decisioning, etc.,

And what super agency is, is not just when you as an individual get the superpower, but when you and many of the people around you, when millions of people throughout society also get that superpower. Because just as a car transforms your mobility, your ability to go somewhere, when other people's mobility are similarly transformed, like a doctor can come to a house call, a friend can come visit.

And so the society that you experience in this kind of super agency is when many people get the same superpowers and we're all benefiting from our own and from others. I mean, the fears around AI, I guess, are that AI will eventually limit human control. And when you're talking about super agency, you're sort of positing the opposite, that we're going to have more control.

Well, it's actually different, but more in some important ways. These technological transformations of agency never are only additive. They're mostly additive. Like the car is broadly additive. But of course, then, you know, if your agency was previously that you were a driver of a horse carriage.

You know, that agency changes. Like, you know, when you have a phone, you can reach out to other people, but other people can also reach out to you. So you're available. So agency kind of transforms in these cases. And you can already see it if you start playing with these agents.

That you can say, hey, I can actually now do things and accomplish things that I couldn't accomplish before. And that unlocks my ability to learn things, my ability to communicate things, my ability to do things faster in more interesting ways. And so that's part of the reason why it's really important that we actually learn.

play with these technologies. We engage with them. We do serious things with them. We do what in the book I call iterative deployment. And I think that's what is so important for us all engaging on this path heading towards super agency. You talk about two different kinds of super agency or two different tracks in some ways. One is where AI helps me complete tasks that otherwise would be hard for me to do alone. And the other is where AI does things

for me, without me. You might say, when you're getting into an Uber, is this a gain of agency or a loss of agency? Because you say, well, you're not driving anymore. But of course, because you're choosing it and because you're engaging in it, actually, you gain an agency because you didn't have to have the car there. You could have drunk one or two cocktails too many, and you still have the mobility. So

The mindset is important because if you kind of said, I am getting an Uber because I hate it and because I've got a stranger who's driving me to some other different place and I don't really want to be doing it, it's equivalent of like I'm being carted off to jail, then of course you're going to have this enormous crisis.

perception and decrease in agency. But if you adopt it with the right mindset and kind of say, hey, this is something that I am seeking to do, I'm trying to do, then obviously you begin going from negative to positive to curious. Think about the first time you were on a bike, right? You're kind of terrified of it. You're like, do I really need to be learning this? You know, you got training wheels on. But once you begin to learn it, you go, oh,

I now have increased mobility. I can have new exercise. I can get new experiences. And that's the kind of thing of leaning into that agency is, I think, really important as we adopt new technologies.

Yeah, and I guess trusting that agency. I mean, your example about the Uber driver, it makes me think about, like, I'm giving agency over to the driver, but the driver is probably giving agency over to a Maps app that is telling them the best way to get to my destination, right? And they're trusting the map, and I'm trusting that they're trusting the map, and all those things sort of lay on top of each other.

Yeah, and actually I wouldn't say giving over agency because you always have some agency in that choice and ongoing, but like you're utilizing the agency. You're engaging the agency. Well, I'm offloading some mental load from myself, right, and allowing to spend my time doing something that I feel like is more valuable. Yeah, exactly. One of the very earliest things when I was saying –

Why do we want autonomous vehicles? It's drinking and driving goes from a horrific act of negligent or deliberate evil to something that might be actually quite relaxing and enjoyable. You've been preaching about the potential of AI for some time. You wrote a book with Chad GPT to demonstrate the potential. You've made digital twins of yourself to try demystifying it.

Not everyone is convinced. What do you feel like you have to sort of fight most in getting people over this? And what prompted you to do the book now as a way to try to make that change?

Well, the book is kind of a natural extension from Impromptu. So Impromptu, first book on AI, co-written with AI, trying to show how it's amplification intelligence and how you could use it in these positive cases. My biggest hope and persuasion is that people who are AI fearful or AI skeptical may begin to add some AI curiosity. You know, kind of say, hey, look, I should try to play with this. I should try to see this.

And part of what super agency is about is to say, look, it doesn't just matter for yourself, but as other people get this exposure to this, the other people's getting exposure will also be good for your life. So for example, if you think about the fact that like I have a smartphone, I have a medical assistant that is good or better than the average doctor, would you rather have a radiologist read your x-ray scan or would you rather have a radiologist with an AI read your x-ray scan? And the answer is,

radiologists with AI every day of the week, eight days of the week, because that then gives me a much better health outcome. So it's not just me and my superpowers, but other people giving the superpowers also help me. Even if I'm not

quite the way you would like me to most, I'm still going to get some of the benefit of this. It's going to be part of cultural changes. Yeah, and I think that's ultimately how people get to adopting and, you know, kind of adapting their lifestyle to these new technologies because they begin to see, oh, actually, in fact,

This is a new, very good thing. And as opposed to like, for example, when cars were first introduced, they were considered to be so dangerous that I had to have a person walking in front of them waving an orange flag. Now, I think we got rid of that regulation very quickly. And I was like, OK, well, they're dangerous. But OK, can we contain and shape the danger in ways that is small relative to this massive benefit of super agency and mobility? Yeah.

You know, when I think about you, Reid, it's like you have these different slices of audience across your influence. Like you've got your own peers in tech and then you've got business people and entrepreneurs who aren't in the tech and AI space. It's not their core competency. And I wonder when you're constructing this book, are you thinking about each of those groups like separately and hoping to get different reactions from each of them out of it?

Well, there's two primary groups in broad category that I'm writing to. The first and the foremost is the people who are skeptical, AI uncertain, AI fearful, and they say, this is why you should add AI curious and AI hopeful. It doesn't mean that I'm going to persuade in one fell book, you know, all of this skepticism or uncertainty or fear to go away, but

But to add that in and to begin to see that, you know, the only way that you can get to the kind of future that you want to get to is when you steer towards a positive future. You can't get to the future you want by just trying to eliminate the future you don't want. And so you can eliminate a future you don't want, but you eliminate a lot of other futures too, including a lot of good ones. And so that's the thing of getting to that good future. Now,

That's my primary group. Secondarily, it's actually also for technologists, companies that are building these new technologies to say, look, what are the concerns that people have? The concerns around jobs, the concerns around misinformation, the concerns around privacy, they all kind of come back to kind of concerns around agency. And so if you then become a technological builder, developer, iterator, et cetera, with a focus on how do you enhance human agency, then

That as a design lens, I think is actually in fact really important. And so that's the reason why that's the second group. And this design lens for technologists, it's not necessarily that like, oh, I shouldn't design something because it might replace someone's job. But to be mindful that if there's a way to design it so that it augments a job instead of replacing a job, to make that choice important.

Well, or to always be thinking about how would I do that? Could I do that here, et cetera? And it doesn't mean don't do replacement because, for example, there's a lot of jobs where we have human beings kind of trying to act like robots, like customer service following a script. And robots will do that better. We want to create new jobs that are essentially robots.

human jobs where you might have a little bit more agency, a little bit more creativity, a little bit more ability to express yourself, et cetera, versus just following the script is the kind of thing that we want to create a lot more of those.

AI acting on its own seems to be what scares people the most, you know, but I've thought that like the likelihood that I'm going to lose my job to an AI alone, it may happen at some point, but I'm more likely now to lose my job to someone who uses AI better than I do, right? Although if I'm losing my job, it maybe doesn't matter that much either way which one I'm losing it to.

Yeah, so part of the thing that I love about thinking about technology is whenever you think there's a problem, including a problem created by technology, you think about can technology be a solution?

And so, yes, I do think that a lot of jobs will then start being requiring use of AI and AI agents as part of being professional. It's a little bit like if you said, hey, I'm a professional today and I don't use a computer or I don't use a smartphone. It's like, no, not really. Good luck getting that job. Right. Exactly. Yeah. So there are technological requirements which increase with new tool sets for doing jobs. And AI is definitely going to be one of those.

Now, that being said, part of the solution, oh, my God, am I going to be out of jobs? Like, well, actually, in fact, and this gets back to the, you know, kind of the book being for technologists and thing about human agency is like, well, how do we help people have their agency of learning the new skills?

and saying, hey, yes, my job is going to be taken over by a human using an AI. Well, how about that human be me? Or, you know, okay, so this particular one doesn't work, but how can the AI help me find a different job? In many ways, I think we will naturally get there, but I think

you know, just because we'll naturally get there doesn't mean we can't get there better by being intentional and having design. So it's one of the reasons I identify myself as a bloomer in the book versus a zoomer, because I actually don't think that, you know, everything will just be great with technology. I think we actually have to steer it some intentionally, because when human beings encounter new general purpose technologies, as early as the printing press, all the rest of them

All kinds of like we f*** up in various ways. We handle the transition of the new technologies badly. And part of the reason why I'm doing this book, this podcast, these things like this is to try to say let's do this transition much better. It doesn't mean it won't be without – the will be suffering and transition is like, well, I don't want to be learning the new job. I don't want to be learning the new tool. And it's like, well, unfortunately, you're going to have to. But if you embrace it with some agency –

you know, we can possibly make that both less painful and have more opportunities. We are entering into the cognitive industrial revolution. And all you have to do is look at any simple books about the industrial revolution to recognize transitions can be painful. Let's do these ones better.

Reid may not be a Zoomer when it comes to AI, but he's always been a techno-optimist. That tech is an essential tool in creating a better future. And he definitely feels that way about AI. So how do we handle the risks and trouble spots with today's AI? And how might the Trump administration impact things? We'll talk about that after the break. Stay with us.

Hi, listener. I'm Alfonso Bravo, head of content operations at WaitWhat, the company behind Masters of Scale. In my role, effective communication is essential. Every day, I'm managing teams, overseeing technical production, and fielding critical emails from our partners and, more importantly, our listeners.

Precision and clarity are vital. My team and I rely on Grammarly to help us communicate clearly and consistently in every arena of production. That way, we can save time searching for the right words and, instead, spend that time helping the broader team and serving our audience. And Grammarly is flexible. I can switch easily between apps, whether it's email, reports, or chat platforms.

Grammarly offers instant suggestions wherever I'm working. Grammarly also has great security. My team depends on me to keep our tech systems up to date and cybersecurity in tip-top shape, ensuring that every piece of communication is protected. Grammarly has just about every IT certification and never sells your data. Join over 70,000 teams and 30 million people who trust Grammarly to get results on the first try. Go to grammarly.com slash enterprise to learn more. Grammarly, enterprise-ready AI.

We take great, great pride in the culture that we've built. We just saw a sizzle video from our recent team offsite and it almost brought us to tears. That's Shannon Jones, Capital One business customer and co-founder of VIRB, a rapidly growing brand experience agency that creates memorable events for companies like Airbnb, Hulu, and Amazon.

We've scaled exponentially. I mean, the company has more than doubled in size. Being super mindful of how to maintain the culture in the face of rapid growth has been very top of mind for us. For VIRB, company culture is just as important because the staff brings that energy to client relations, the key to their success. Here's VIRB's other co-founder, Yadira Harrison, highlighting a specific way that VIRB takes care of its employees.

Our holiday party, it's a one-day celebration where we all come together. We're talking about 50 to 85 people. And so it's special, but it's also expensive.

Yadira and Shannon spare no expense when it comes to team milestone celebrations, employee benefits, and holiday parties. Perks made possible with the help of their partnership with Capital One Business. The Capital One Spark Card definitely helps to offset that in a massive way. Based off of the cashback benefits, that's the benchmark of how we want to use that cashback. It's important for us to be able to do that and to make people feel appreciated. To learn more, go to CapitalOne.com slash business cards.

This is Rapid Response, and I'm Bob Safian. Before the break, we heard Reid Hoffman talk about what he means by super agency, which is the title of a new book he just released. Now he shares his vision of what an AI-infused workday will soon look like, how we can address the risks and trouble spots with the latest AI developments, plus what the first week of the Trump administration indicates about our tech and business future. Let's jump back in.

Some of the technologies in recent years that we've all gotten really excited about, you know, social media and smartphones, we sort of underestimated the societal impact, right? The wow factor gave way to these consequences that we didn't foresee. Filter bubbles or too many hours of screen time. How much do you think this sort of alarm about AI is because of

of that recent history? I think we always hit alarm when we hit new technology. So I don't think it's just because, you know, the concern around social networks and information flows and children and other things which are very, you know, kind of legitimate concerns and issues that need to be addressed. But also,

We would have hit it anyway, even if it wasn't there. I mean, we had all these concerns. I mean, you and I are old enough to remember, you know, all the disruption around the internet about how, you know, it was kind of like a terrible place, cyberspace, very dangerous. You know, who would ever want to upload their credit card and buy something that's probably full of criminals and frauds and dangerous people? Well, there still is a bunch of bad information on the internet, but there's also a bunch of really good information. I mean, the kinds of things you can find with Wikipedia and broadcases and

listening to random podcasts of these two guys talking to each other. There's all of this stuff that actually can be quite good. In some ways, when new technology comes in, the best parts of it

we get used to so quickly. Like, the world never existed without this before. You know, can you imagine if I needed to have a paper map to get around? Like, I wouldn't even know how to move myself through the world. And then those trouble things pop up and I guess that's why you want to keep iterating and improving because those trouble spots will always pop up. Look,

Look, the trouble spots will pop up whether or not we have new technology or not. And, you know, as you know, one of the chapters in the book is innovation and safety. You know, people always think innovation is just change and risk. But actually, in fact, you know, you create the car. And part of the reason, like, you know, we now have cars that you can drive at, you know, 50 miles an hour, 60 miles an hour, 70 miles an hour on the highway is because we innovated on safety and brakes, safety and car construction, safety and seatbelts.

And which things to iterate on and which things to do, you only really discover by going down the road. You can't sit before you create the car and invent all the things. There's no way to do that. And so that's why the iterative deployment and engagement and getting millions of people to engage is so important to how we create these things in ways that help us as a society and as humanity. So do you have a vision of what

like super agency mode would look like in a so-called average day for a U.S. professional on the job? Like, do you have a vision about what that day looks like? What happens? Look, I think that what will happen in relatively short order of years, we will be using co-pilots to help us. Say, Bob, you and I were meeting in person.

It would be odd if I put the phone on the counter, put on the agent and just have the agent note taking, you know, suggesting certain things in the conversation and so forth. I think that will become typical.

It may not become typical when, hey, what we're doing is we're just talking about the vacations that each of us had or something else and that kind of thing. But whenever we're working or whenever we're having conversation with some kind of goal and earnest, I think we'll do that. If there are areas that you are worried about with AI, like what are the ones that are sharpest? I mean, I'm thinking about something I read recently. I think it was in Axios about

sort of the national security implications, whether it's military or whether it's information security or whether it's code breaking, you know, are those areas that you get more anxious about? I'm less worried about the AI by itself. There's obviously a bunch of like Hollywood things like Terminator robots and so forth.

But the AI, since it gives you superpowers, it also gives rogue state superpowers, terrorist superpowers, criminal superpowers. And so I'm worried about the – and by the way, all of them have an incentive to adopt early, experiment with it and so forth. And so I'm worried about how do we navigate that? And that's one of the reasons why I help advise a whole bunch of governments, kind of help set up –

kind of safety and alignment conferences, talks between the various providers of and builders of artificial intelligence. And that's another area I think of worry. And while I think this kind of category of doomer of existential risk, oh, is someone going to build terminators, either autonomous or with humans and present an existential risk? I think that

AI is much more naturally going to reduce the number of humanities existential risk, pandemics, asteroids, other things, even as it is. But even as such as that is, I think it's important to say, well, what should be our international global treaties on AI?

the use of autonomous weapons on, you know, kind of building, you know, kind of killer robots. And what are the things we should do there in order to have the next century be the best human century? And I guess you want technologists at the table when those discussions are happening because they understand

better than anyone, you know, what's practical and what might unfold. But at the same time, you don't want just technologists at that table. Oh, for sure not. Part of, you know, what we covered in Super Agency is this kind of notion as, look, part of how technology develops is not just an individual tech company with some potential regulatory body. You know, part of what makes tech companies do this well is they have a growing network of customers and

They have a network of investors. They have a network of employees and their families. There's a whole stack of these interlocking networks that create what we call the consent of the governed. And I think that it's important to have that kind of broad participation, hence iterative development. And I myself, while my undergraduate degree was artificial intelligence, my master's degree is in philosophy. And I think, if anything, AI –

brings out the importance of humanity to degrees when you think about, well, how should it be designed? How should we interact with it? What should be the kinds of things that are an agency focus of increasing our super agency? And these are, I think, kinds of considerations that a humanities education can be very helpful for. It's a little early, but new administration in Washington. Is there any sense yet about what

that administration, how they'll look at AI or whether the regulatory environment will be any different, any change? - Well, no news to our listeners. I was putting a lot of energy into electing Harris versus Trump.

but I think that there's an earnestness around the fact that AI really matters and that there's people who are specifically appointed from the very beginning of administration in order to navigate. One of the phrases that I've been starting to use a lot more is American intelligence. How do we make that American intelligence? And so that's building on the CHIPS Act, but then also in the new administration, kind of

making a massive shift of regulation for provisioning new energy, provisioning nuclear energy, provisioning data centers. So I think all of that has a lot of good potential. And so part of, you know, what I'm trying to do is help the country build on that potential and, you know, build things that really help American citizens as a group.

I had a guest on Rapid Response recently talking about the impulse by some businesses and brands to sort of go quiet early in an administration, to be paralyzed to some extent by the uncertain ground rules and guardrails and repercussions.

Do you have advice about how business leaders should act around this inflection point we're in right now? The short answer is it's high volatility. And, you know, all you have to do is look around the world. It's not just kind of various conflicts, but also obviously we have a lot of turmoil in the country. A tiny percent voted for Trump over Harris. It's like...

less than 2 million people. You've got kind of a divided country in various ways. What that means for your business leaders is expect more volatility, expect more crisis, expect more uncertainty. And so the advice that I give folks is, look, there may be great opportunities here. A bunch of smart deregulation may open up opportunities like nuclear energy or other things, but also you

The questions around the uncertainty also creates a lot of volatility. So you should be kind of protective on that. And that's the advice that I'm giving folks. Well, Reid, this has been great. As always, I love hearing the way you're thinking about it and the things you're doing. And thanks for taking the time. And I look forward to doing it again. Yes, me too. And Bob, always a pleasure.

Whenever I talk to Reid about AI, I always come away excited and also a little chastened. In part, it's his acknowledgement of the risks, which I tend not to want to think about, but also his encouragement to engage personally with AI in our work life. I'm reminded that I could experiment more, should experiment more. I'm definitely talking a lot about AI, but I could put more into action.

reads observations about volatility from tech changes, from political changes. That hits home. We all need to be as adaptive as possible, and new AI tools can only help. I'm Bob Safian. Thanks for listening. We've grown exponentially since we opened 10 years ago. We initially started with, I think there were 10 of us, maybe, total, which is just completely ridiculous.

That's Jillian Field, Capital One business customer and co-founder of Union Market, a popular neighborhood market and cafe in Richmond, Virginia. With her growing success, now with 45 team members, Jillian has always kept sight of what really matters. We felt since we opened that having some sort of employee appreciation event was really important to us. Every year, Jillian holds a company-wide celebration to show her staff how vital they are to the success of Union Market.

Recently, she used points from her Capital One business card to host her employees at Busch Gardens Theme Park for a day of fun with family and friends.

We buy all of their tickets as well as their plus ones. It's a lot of fun and definitely a great team bonding experience. Capital One really has been great over the years. It's so easy. We could apply these points to supplies, masking tape and Sharpies and ticket receipt paper, but we like to retain them for our employees. That's been really important. To learn more, go to CapitalOne.com slash business cards.

Rapid Response is a Wait What original. I'm Bob Safian. Our executive producer is Eve Troh. Our producer is Alex Morris. Assistant producer is Masha Makutonina. Mixing and mastering by Aaron Bastinelli. Theme music by Ryan Holiday. Our head of podcast is Lital Malad. For more, visit rapidresponcesshow.com.