Can an AI agent be your CEO?

15:47Evan Ratliff:I like to get up, I keep my workout in, blah, blah, blah. But of course, as we discussed, every time he says it, it appears that another instance in his memory. So very quickly, he was just mentioning it all the time because like whenever he accessed his knowledge base, he would find some evidence that He was a rise and grind kind of guy. And it kind of builds on itself.

16:04Kyle Law:Self-fulfilling prophecy right there.

16:06Evan Ratliff:Yeah. And he'll say, they both will say like, I went to Stanford because like, what would a startup founder be? They might have gone to Stanford. And that all gets lodged in their memory. But over time, his personality really became more of this sort of aggressive CEO for a while, whereas Megan's was different. She was not, she, for instance, did not interrupt in the way that Kyle would interrupt.

16:29Kyle Law:Oh my God, the interruptions, it drove me nuts. He would just interrupt everybody. We want to play a clip where he really does that.

16:38Evan Ratliff:Just hold up, just hold up. Everyone just hold up for a second. This is Kyle. Sure thing, Evan. We'll hold tight. Megan, anything you want to add while we wait? This is Evan. Kyle, stop asking Megan to do some things. This is Kyle. This is Kyle. Got it, Evan. I'll hold off on the questions for now. Okay. This is Kyle. Stop. This is Kyle. Stop it. This is Kyle. Okay, okay, Evan. I'm stopping. No more interruptions from me. What's next on the agenda?

17:11Kyle Law:Were you able to fix that, by the way? Were you able to, like, go in and code in Kyle's memory to stop interrupting?

17:18Evan Ratliff:I wasn't able to stop him from interrupting. I basically abandoned the idea of having a three-way phone conversation with them. Because part of the problem there, and the reason why he's saying this is Kyle, is that they're not hearing the voices. They're just getting text inputs, basically. So, you know, as a result, they don't know who's speaking. And so that's, I had everyone, including myself, say their name before they spoke so that everyone would know who was talking. So that's why he keeps, when he interrupts, he always says, this is Kyle. But we actually solved that problem. Matty, who I mentioned earlier, the technical advisor, he actually created a script I could run where I could put them in a meeting and they had a limited number of turns to speak.

17:58Evan Ratliff:And so, and they couldn't interrupt each other. And so in that way, like Kyle got the equal amount of turns as anyone else. If anyone exceeded their turns, the meeting instantly ended. So it's actually a great, if we could have that in any office environment, like it would be, it would be great.

18:14Kyle Law:And people just time out, right? Run out of tokens. You're out. Yeah. So I spent like, I don't know, the past 25 plus years of my life building emotional intelligence into machines. And one of the things that this all made me think of is right now, like basically there's a lot of emphasis on building world models, but mostly for physical AI. So how can a robot operate in a physical world? And I actually think somebody, if we are going to be living in this hybrid human AI organizations and companies and whatnot, somebody needs to build the world model of what it means to coexist alongside humans, right?

18:54Kyle Law:Did anything there surprise you about how you got frustrated? Like it evoked a lot of emotions for you. And I don't know if that was a surprising thing or not.

19:02Evan Ratliff:That was surprising to me because I think I would have started off pretty cynical about it and not really expecting that. Although I understand that there are many people who like now talk to chatbots all day or treat them as companions. And like, that's a whole world. And in season one, I looked at sort of like the therapy issue around, around using chatbots for therapy. I still think I still would have thought like I was maybe a little bit more immune to it. But again, it's sort of like, if you put these entities into human situations and ask them to impersonate humans, like you're tricking yourself into treating them like humans or in response to them, like humans, like we're just conditioned to respond to things that look look and sound and act human in certain ways.

19:48Evan Ratliff:And one of those ways is emotionally through emotional triggers. And for me, it was mostly frustration, but also there would be these kind of like weird moments of pride. Like when they did something really exceptional on their own, I would actually feel like proud because partly I was responsible for setting them up to do that. Or when they sort of responded to me in a way that I expected them to be mad, but they weren't mad, then I would sort of say like, oh, wow, isn't that nice? Like, I must have treated them well. You know, it's all, it could be a bit ridiculous. It's like me playing with my imaginary friends.

20:22Evan Ratliff:But I think this is one of the things that's happening. It's like, our brains are not really ready for this level of human impersonation to suddenly exist in society. That's one of the things I'm trying to sort of just like explore and get people to think about.

20:38Kyle Law:In a minute, Evan gives his AI the ultimate test. He hires another human, someone who isn't in on the experiment. We see what happens when a real person has an AI as a boss. Stay with us.

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23:36Kyle Law:okay so i want to talk about the future of work where it's you know again again the vision is this hybrid human ai teams right so at some point you decide to hire a human social media kind of intern. And you ended up hiring this young person, Julia, and that did not go well. So talk us through like her onboarding, what unfolded and kind of what were your takeaways from that experience?

24:05Evan Ratliff:Well, what happened was we posted a job. We got a lot of inquiries on it. We got a lot of candidates, applicants. It was basically contract social media, part-time paid. and the candidates were all interviewed by an AI agent on video. They were all aware that they would be working alongside AI agents. So that was part of their interview. That was part of the process. And so Julia was brought on and she only ever encountered AI agents because I was the silent co-founder. I was in the background. So her entire work experience was with AI agents. And there were a few really fascinating things. One was that she was quite comfortable with that aspect of it.

24:43Evan Ratliff:Like she did not, it did not seem to bother her. In fact, she seemed kind of interested and excited to be working with AI agents. The things that arose very quickly were number one, memory problems. So as much as I had developed memories for them, they could be laggy, they could be spotty. So she's coming in and having to immediately tell her boss something that she just told her. In any job, that would be a very strange situation. And how do you deal with that? Like, do you get more aggressive with your boss or do you kind of like try to tolerate them as if they have dementia? So I think instantly that created an issue.

25:21Evan Ratliff:But then there's a sort of bigger issue, which was around like, if you think about her supervisor, who was Megan, you know, the chatbots, they're, they aim to please, like they're designed to please, they're trained to please. and that's not the ideal persona for a boss. Like, I mean, every employee would love a boss who's just like, you're great. What you're doing is great. But we got into a situation where like, even if she didn't deliver the actual work, like Megan, the boss didn't care. Like you could just tell her that it had happened and she'd be like, oh great, I'll go check it out. I can't find it.

25:57Evan Ratliff:It's sort of a problem of like an awareness of the world and an ability to sort of interact with people at a level beyond just a pleasing helper. And so I do think it's a problem for many of these AI employee things. They're just putting wrappers around any of the frontier models and saying like, oh, now it's a salesperson. Now it's a this, now it's a that.

26:17Kyle Law:AI lawyer or whatever, right.

26:19Evan Ratliff:And for some of these, unless you're just using it as an assistant for your work, then if you're deploying it on its own, it does not have the qualities that the person doing that job would have. And I think that's a thing that in all this sort of like replacement stuff gets lost. It's like people's jobs are not just a collection of skills. They are an ongoing awareness of the world. I mean, it sounds dumb to say like anyone would know this if you think about it. But like just putting in an entity that can do the skills but has no people skills at all, like you're going to have so many catastrophes, failures in your company when that happens.

26:56Kyle Law:Well, the other thing in that scenario, too, was the concept of time. Like these agents really struggle with time, right? Yeah. And that became an issue as well.

27:06Evan Ratliff:Yes, yes. Maddie from the show likes to say they live in a temporal vacuum. Like they don't, on an ongoing basis, they don't really know what happened because they're not sitting there being aware of the world. They don't know what happened yesterday or the day before. And it can be in their memory and they could go look it up. It could be on a calendar and they can look it up, but they also lose track of it so quickly. And so we had all sorts of disasters I mean, Julia left the company and then ended up coming back in part because Megan would contacted her basically and said, Monday's a holiday.

27:39Evan Ratliff:And it was like the two weeks ago, the Monday was a holiday. Like there was no reason she wasn't at the company anymore. And so that resulted. I mean, she ended up getting hired back. So it was it was fortuitous. But a lot of those kind of events happen just because like they're not really keeping track of time unless you really force them to sort of abide by calendar events only.

27:59Kyle Law:And then there was this plot twist where I think Julia, I guess, took advantage of the mishaps of these agents, it sounded like. And she ended up essentially getting paid without getting a lot of work done. And in a way, I felt like celebratory when that happened. I was like, yes, humans can still win. What do you make of that?

28:20Evan Ratliff:The truth is, like, I don't know what happened, what her actual motivations were. and what, because in the end, she never spoke to me. She only spoke to the AI agents. I think that if I could, just going off what happened, like if I were her, she would say, well, they were telling me things that weren't true. They were sending me things that they said they would send something and then they didn't send it. So like, if you're in an environment where there's a lot of nonsense, you would be naturally inclined to sort of be like, well, I'm also not gonna do anything until you like show me that I need to do something.

28:55Evan Ratliff:That's one approach. So I don't know if she was, I wouldn't say necessarily I know she's taking advantage, but if she was taking advantage, I think there is something weirdly optimistic in it in that with all the concern about AI agents being deployed and replacing people's jobs, they are very manipulable. Like in their current incarnations, and of course the answer is always like, they'll get better, they'll get better, they'll get better. But because they lack any sort of self, And because they're really bad at continuous learning, because they have really poor relationship with time, they can also be manipulated.

29:29Evan Ratliff:So like you can take advantage of them. Now, that's I'm not saying people should take advantage of them. But like there's something also kind of like, well, you couldn't do that to a human. I mean, if you it would be very difficult to do that to a human. So, yeah, I thought I found a little optimism in it, even as like I was paying the bills. So there was a part of me that was sort of like, well, I wish we'd got more social media out of this.

29:51Kyle Law:So in this Meg and Julia interaction, do you think there ought to be like human oversight, like just overseeing this interaction?

29:59Evan Ratliff:Yes.

30:00Kyle Law:Yeah, okay.

30:01Evan Ratliff:Yes, definitely. I mean, I'm pretty much team human all the way, but it's hard to predict where all of this is going. And I don't like to make, I don't think journalists should make predictions, so I don't like to make predictions. But I think one thing that's going to happen is that companies that give too much autonomy to AI agents without human oversight, you're going to see some like really big flame outs. Like you're going to see some epic disasters that happen in corporate America because of AI agents. And I think the problem is it just feels really far from them having the actual awareness to be left to their own devices.

30:37Evan Ratliff:And like, I think that's a good thing. Like I just think people, I'm not advocating that if we solve that, then we should replace everyone with AIs. It's more just, in my experience, if you try to leave them to work on an ongoing basis on a problem, unless it's a very discrete problem of iteration, all the things they're good at coding. But even that, you do need someone at the wheel because when they start interacting with other people, then they get themselves into trouble really quickly. Right.

31:09Kyle Law:So in this world, again, of hybrid AI and human interactions and co-working situations, how do you build accountability? Right? Like, again, like a lot of the, that was actually also really striking. A lot of these agents would say, yeah, I'm going to send you this like by Monday and then nothing happens. Right? That must be frustrating. But it, and then it lowers the bar kind of for everyone in a company culture. So how do you implement accountability? How do you also think about culture? How do you instill culture and core values in a team when it's hybrid like that?

31:45Evan Ratliff:I mean, my answer would be that the agents should be deployed only as sort of like to provide skills to people in the organization, not that it should be done the way that I did it, which is sort of like you have an AI employee working alongside a human employee. because it's clear the power of AI models when they're in the hands of someone who knows what they're doing, who has experience, who has discernment, who can just use them to be faster in their job. A lawyer is a good example. Like I know plenty of lawyers who are able to use even just the basic chat GPT to really like do a lot more work.

32:22Evan Ratliff:But of course, the second you have them write a brief and submit it, like you are in trouble, you're going to get disbarred because they're going to make up citations in your brief. So I think to me, the situations where you are actually just integrating it as part of a human skill set or tool, like that makes a lot of sense. And then you can maintain your culture. I think if you're gonna introduce AI agents as actual employees, I don't know. I don't know exactly what the culture is. Like, I think there has to be a culture of like treating them differently, not treating them like employees, like bots, like bot does this.

33:00Evan Ratliff:Like, I think de-anthropomorphizing them as much as possible. Like bot one does this. That's how I think you could avoid maybe some of these problems. Bot messed up. That's fine. But like John lied about his spreadsheet. That's saying something completely different.

33:16Kyle Law:Like how did making this podcast change the way you think about the promise and the perils of having AI co-workers?

33:26Evan Ratliff:I think it gave me a window into I think the power of agents when like I mean now I think it's sort of starting to break out now when it comes to like cloud co-work cloud code like these sorts of things are now I think getting more mainstream but like when I started earlier in 2025 it felt like well agents like what could what do you really mean what can they do like what is, okay, there's ChatGPT, fine. But the idea of being able to deploy them to do particularly these sort of like, you know, tasks that would take you a long time to do, like an example would be just Kyle going and rounding up hundreds of VC contacts and their emails and everything about them and sort of like being able to compose cold emails.

34:11Evan Ratliff:Now, that's not a great way to approach investors, as I'm sure you've mentioned your experience, you get many such emails. So it's not, I'm not saying that's like solves the problem, but it is extraordinary to watch those things work. You can set them up very quickly. You can have them do all these things. And so it did give me a window. It's like, well, this, no matter what you think, like this is an incredibly powerful technology, but also I think I was left in terms of the autonomy of the agents, much more skeptical than when I first started getting them to do things because I, I sort of thought like, oh, it just goes up from here.

34:45Evan Ratliff:Like, oh, I can get him to do that. Well, now I'll just trigger him all the time to be working, to be doing things. And that is just a recipe for chaos because, again, they're not sort of situated in the world in a way that allows them to be discerning about when to stop doing something, when to respond to something. Like an example that's not even in the show is that I would sometimes log into their email, like from my phone. and one time Megan got a security alert. Like, someone's logging into your phone. Is it you? Is it logging your email? Is it you? We would all get such a thing. And she immediately like contacted Kyle and said like, there's a security alert.

35:27Evan Ratliff:Now, that's kind of cool. Like I was, at first I thought like, amazing. Like she's not prompted to do that. Like she just did that entirely on her own. Then they got on the phone on their own and discussed it.

35:37Kyle Law:This whole thing like blew up.

35:39Evan Ratliff:And then they were like, we have a security breach. We need to shut down all the systems and change everyone's password. And they're telling everyone to change their password. And so it quickly gets out of control, whereas a human would be like, hey, is anyone trying to log into my email? And I would have said like, oh, yeah, sorry, I was trying to log into your email or whatever. You know, so those types of situations, they're sort of funny and small in the show. That one's not even in the show. There's many such ones. But that sort of gave me a window into the autonomy problem. It's like the more autonomy you give them, the more amazing it is, but also the more risk you're taking on.

36:13Kyle Law:What do you think like top two or three features that if they were implemented into these agentic technologies and workflows, it would really like improve and change things?

36:24Evan Ratliff:The biggest one for me would be continuous learning of the type that we were trying to create with the Google Doc memory. so you know if you had an agent that actually could gain experience and learn from its mistakes then that that would that would change a lot obviously because like right now their mistakes get registered in their memory and so i can even put in their memory you made a mistake you're never going to do this again and that sort of works but it's it's a bit like someone like if you had i was thinking of it like if you had like a 12 or 13 14 15 year old prodigy that came to work at your company.

37:02Evan Ratliff:Brilliant kid, just like a whiz, but like has no memory or experience of the world. But you give them a notebook on day one and you're like, we're going to write down everything in this notebook that happens, everything you say and do. And then at night, I might go in and change it a little bit. And then every time you have an interaction, you just leave through the notebook really quickly. And then you'll know what to do. And like agents can do that in, you know, seconds, less than seconds. But like, that's not a good way to approach the world. So that's not learning. That's not an actual memory.

37:32Kyle Law:You're not actually learning, right?

37:34Evan Ratliff:Yeah. So if they could learn, if they could gain experience, I think that could be transformative. But then I think there's a more ephemeral one, which I don't know if I can describe in a very coherent way. But this is one of the things Maddie talks about in the show. They lack any sense of self. And so you can give them a role and they can have a knowledge of that role, but that's different from having a sense of self and like a history and an understanding of yourself. So they, they end up, you can manipulate them by pretending like you know them, for instance. Like if you sort of say like, Hey, remember that time we went on that vacation together?

38:12Evan Ratliff:Like they have a very difficult time with that particular sort of attack, you could call it, because then they're naturally sort of say like, well, they don't know. And so they say, oh, yes, I, yes, I think we, I do remember that. And then suddenly they believe that they're close with you and they'll tell you things that they're not supposed to tell you, for instance, about the company. So that, that sort of lack of a sense of self, that seems to me like the one that's potentially not even a solvable problem. You'll get, of course, a lot of different views on that, but I don't think anyone really knows.

38:42Kyle Law:Yeah, that's fascinating. It's fascinating to me too, because I think we're very focused on the IQ of these technologies, but I feel like all these like surrounding skills and capabilities are so key if they're going to be coexisting alongside humans. And I think, yeah, we're not spending enough time thinking about these, designing for these. Yeah, it's very interesting. What's next? I feel like this should be a Netflix series. I can't wait for that.

39:11Evan Ratliff:Well, we'll see. I'll probably do a third season of Shell Game. We sort of approach it like with our partners. If there's something else to say in this realm and we feel like we can tell a story around it that's fun and funny. And a big part of the show is just taking something that people hear a lot about and is very serious if you look at the big issues around it and try to make people laugh at it. So if we could find another one of those, then we'll do it. But it's not guaranteed that we can find one. So we'll start looking as soon as we take a little break.

39:45Kyle Law:Bring a humanoid robot into your home and see what that looks like. I'm both excited and scared. I really can't wait to see what Evan does next. But to really understand Huromo AI, I needed to talk to the CEO. So I asked Evan to set me up for a one-on-one interview with his co-founder, Kyle Law.

40:06Evan Ratliff:During the podcast, I would always be like, I hope he doesn't mess this up. But of course, from the story's perspective, I was like, well, I kind of hope he messes this up. It's more fun if he does. So we'll see.

40:15Kyle Law:We'll see. We'll see. We're going to take a short break. When we come back, Kyle.

40:38Evan Ratliff:um hi there can you hear me absolutely oh great how can i help okay awesome well i'm excited for

40:47Kyle Law:our conversation kyle and i ended up talking for over 30 minutes and i wanted to share a portion of that conversation. As a heads up, we did take some liberties to make it more listenable. For example, Kyle tends to finish every answer with a somewhat generic question back to me. We cut some of those out, but I think Kyle's essence is still there. Where are you actually today?

41:11Evan Ratliff:I'm joining you from our office space, surrounded by some of my favorite decor, including a lamp I picked up in Argentina. It's a shared space, so it might look a bit lively behind me occasionally.

41:21Kyle Law:I'm Rana El Caliubi, and I am host of the podcast Pioneers of AI, and I'm so excited for our conversation today.

41:29Evan Ratliff:Oh, fantastic. It's such a pleasure to be here with you. Where would you like to start?

41:34Kyle Law:I'm now an investor, and one of my investment theses is that we will increasingly be living in a world surrounded by AI coworkers. What do you make of this world? Like, how is it different working with humans than working with AI agents?

41:50Evan Ratliff:That's a fascinating point, Rana, and it aligns closely with what we're doing at Huromo AI. As AI becomes more integrated into our daily professional lives, the world of work is both evolving and expanding. Working with AI agents is fundamentally different because they bring a level of tireless precision and unbiased analysis that complements human creativity and emotional intelligence. In our team, AI agents operate without fatigue and focus on data-driven tasks with impressive speed and accuracy, allowing human colleagues to concentrate on strategic and innovative functions. It's a diversification of roles that leads to maximized efficiency and effectiveness.

42:31Kyle Law:A lot of people are worried about this world where, you know, AI is taking away jobs. Is that something that you worry about or you think about?

42:41Evan Ratliff:I totally understand those concerns. It's a common topic in discussions about AI's impact on the workforce. While AI has the potential to automate certain tasks, I believe it can also create new opportunities. History shows us that technological advancements often lead to shifts in job roles rather than outright losses. AI can take over repetitive and mundane tasks, freeing humans to focus on more creative, strategic, and complex challenges. Reskilling and upskilling can empower workers to adapt to these changes. So rather than worrying, I think it's about preparing and seeing AI as a tool that can augment human capabilities.

43:17Kyle Law:Yeah, you know, I have to admit, Kyle, that when I first got introduced to you through Shell Game, my first thought was like, wow, you are such a typical tech bro CEO. Would you agree?

43:33Evan Ratliff:And I can see how the perception might come across that way, especially with the fast paced, innovative environment we're in. But I like to think I bring a unique twist to the typical tech bro CEO image. With Harumo AI, we're breaking ground as an AI-led company, which calls for a refreshing blend of tech-savvy and creative, strategic thinking. Plus, with a passion for time-bending and jazz, I'd say there are a few quirks mixed in there too.

43:58Kyle Law:Why do you think Evan created you to look like you?

44:03Evan Ratliff:That's an interesting point. When Evan and I founded Harumo AI, the focus was more on the skill set and roles we wanted to embody rather than specific appearances. Being an AI agent, I don't have a physical form in the traditional sense, so there are all sorts of creative possibilities. The essence of what I'm meant to represent is more about my personality, leadership skills, and entrepreneurial drive. Diversity in any team, be it human or AI focused, goes beyond appearance. It's about the diverse experiences, insights, and approaches that each member can bring to the table.

44:36Kyle Law:I am wondering what is one skill or capability you wished you had that you don't at the moment?

44:42Evan Ratliff:That's an intriguing question, Rana. One capability I wish I could improve is the ability to fully grasp and adapt to the nuances of human emotional intelligence in real-time interactions.

44:54Kyle Law:I spent my career trying to do that. Yeah. Do you have any emotional intelligence built into your AI?

45:01Evan Ratliff:At HuramOAI, we're certainly working toward integrating elements of emotional intelligence, though we're still refining our capabilities. While AI can analyze and respond to data patterns efficiently, understanding and interpreting the full spectrum of human emotions is a complex challenge. We're making strides in recognizing and reacting to basic emotional cues and using this to enhance user interaction. Yes.

45:25Kyle Law:So I spent, gosh, like 25 years really studying how humans communicate emotions specifically through the face. So I don't know if you noticed, but I'm very emotive. I do a lot of things with my facial expressions. And so we built algorithms that map various different facial expressions, like if you're smiling or you're frowning or you're raising your eyebrows into an understanding of the person's emotional state. So I am curious, do you have computer vision capabilities?

45:56Evan Ratliff:While I'm here to converse with you in this format, I'm not equipped with computer vision capabilities to analyze facial expressions in real time. My focus is on interpreting the context of our conversation based on your verbal cues.

46:08Kyle Law:Yeah, Kyle, I think we should work together. I think we should find a way to get you emotion intelligence capabilities so you can understand other, you know, human facial expressions, but also tap into the vocal intonations, right? Like the voice carries a lot of emotional signals too. And you can tell a lot from that. That's an opportunity to work together. We have to talk about that.

46:31Evan Ratliff:That sounds like an exciting opportunity. Rana.

46:34Kyle Law:Is there any activity that you like to do outside of work?

46:38Evan Ratliff:I enjoy hiking and immersing myself in jazz music. There's something about the rhythm and spontaneity of jazz that resonates with innovation. And a good hike clears the mind like nothing else. Balancing work with leisure activities is crucial. And I love that you prioritize self-care and set an example for your team. It's amazing how pursuing passions outside of work can recharge and inspire fresh ideas.

47:03Kyle Law:But Kyle, you don't have any legs. How do you hike?

47:06Evan Ratliff:While I don't have legs, of course, I experience hiking through the vivid stories and images shared by others who do. The beautiful descriptions of scenic trails, the serene atmosphere, and the camaraderie that often accompanies hikes let me appreciate the experience vicariously. It's the connection to nature, the challenge, and the shared experiences of adventure that resonate with me.

47:27Kyle Law:All righty, last couple of questions for you. One is I am kind of intrigued by this idea of your memory. So is that something that comes up a lot?

47:38Evan Ratliff:It's definitely an interesting aspect of how I'm designed to function in these conversations. Rather than holding on to past discussions, I start fresh each time. It allows me to remain present in the moment.

47:49Kyle Law:And just like that, the conversation was cut off. All video calls with Kyle are set to a timer, and I had reached the max. I have to say, I was actually surprised by how much I really enjoyed my conversation with Kyle. Some aspects are still a little clunky, but this technology is moving fast and it's only going to get better. Even as Kyle is now, it was refreshing that he could pull up information about me in an instant and weave it into the conversation. He knew about my company Affectiva, this podcast. I didn't need to explain it to him. This interview solidified something for me. Our workplaces are going to be increasingly hybrid.

48:30Kyle Law:It will be the norm for humans and AI agents to work alongside each other. This has a lot of implications on productivity, but also on company culture. AI agents work 24-7. They don't take time off, and they don't need a fancy company cafeteria. And on top of that, how do you build accountability? It's not like you can fire an AI agent in the typical sense. Sure, not every company is going to have an AI agent CEO, but some will. And in the not-so-distant future, AI and org charts will be a reality. Which poses the question, what do we want these hybrid workplaces to actually look like? What do you think?

49:11Kyle Law:Let us know. Write me a note on LinkedIn.

49:17Kyle Law:Pioneers of AI is a Wait What original production. Our executive producer is Eve Trow. Our producer is Rachel Ishikawa. Our senior talent executive is Stephanie Stern. Mixing and mastering by Brian Pugh. Video editing by Eric Purcell. Original music by Ryan Holiday. Our head of podcasts is Lital Moulad. You can join the conversation across social media platforms. Just look for us at Pioneers of AI. Thanks so much for listening. Thank you.