EP 358: Why AI’s Workforce Impact Is Bigger Than We Think

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It can be hard to wrap your head around the impact that AI may have on the workforce.

Right?

You're probably thinking about that all the time, whether you're a brand new employee to an organization or you are the decision maker in charge of implementing generative AI and large language models across an entire organization. But today we're going to talk about that. It's actually probably a bigger impact than you even might think. Even if you think right now it's going to have a large impact. All right, I'm excited for today's conversation and welcome to Everyday AI. What's going on, y'? All? My name is Jordan Wilson. I'm the host and Everyday AI it's for you. This is your daily live stream, podcast and free daily newsletter helping everyday people like you and me learn and leverage generative AI to grow their companies and careers. If you're brand new here, maybe listen on the podcast. Thanks for tuning in. Make sure to check out your show notes. The website's going to be there. Go to your Everyday AI dot com. Sign up for that free daily newsletter Every single day. We bring you all the latest that you need to know about AI as well as recapping this very episode. So don't worry, you don't got to jot down notes if you're out on your on a run or walking your dog. We're going to recap it all for you.

All right.

And also, yeah, bonus episode. We did a twofer last night with Chat GPT announcing their new model, the OpenAI 01 Preview 01 Mini. So we already dropped that, so make sure you go check that out. We never leave you hanging. We got that bonus one. All right, before, before we get into today's topic, which I'm extremely excited about, let's go over the AI news for today. So Oprah Winfrey's AI special had sparked some debate on technology's role in society. So Oprah Winfrey's recent special on AI entitled AI and the Future of Us has ignited some good discussion online surrounding the potential and pitfalls of artificial intelligence. So the tone of the event last night leaned towards skepticism as prominent figures, including OpenAI see CEO Sam Altman, Microsoft Co founder Bill Gates, FBI Director Christopher Wray and others, shared their insights. So Oprah emphasized the irreversible nature of AI, stating that humanity must learn to navigate its consequences, highlighting the need for vigilance as the stakes are high. CEO Sam Altman from OpenAI argued that current AI systems are learning concepts from data patterns, a claim that many experts contest, asserting that they merely predict outcomes without true understanding. Also, Altman called for government safety testing of AI systems akin to regulations in aviation and pharmaceuticals. But his push for regulation faces criticism as OpenAI opposes certain safety bills, citing concerns over innovation. All right, speaking of Sam Altman. Yeah. His company. We'll just give you the bullet points here of what happened as OpenAI unveiled its new reasoning model, or what they're calling a reasoning model in O1 preview in O1 mini. So they have announced the release of the new models which are designed to answer complex questions more efficiently than previous iterations, going through in a more step by step, almost like a way a human would tackle a problem kind of using a chain of thought reasoning versus people who are great at working with large language models using kind of chain of thought prompting. So the OH1 model has demonstrated superior capabilities and solving multi step problems, particularly in coding and mathematics, compared to its predecessor GPT. So right now that is available to all ChatGPT plus and ChatGPT Teams users, with Enterprise and EDU users expected to get access within a week. OpenAI has also said that free users may get access to the smaller O1 mini model, but no word yet on the potential release dates. So in tests, yes, the benchmarks are nutty, so make sure to just go check out the show on that. But the Oh1 scored 83% on a qualifying exam for the International Mathematics Maddox Olympiad. I, IMO significantly outperforming GPT4O, which only managed 13%. Yeah, huge jump there, going from a 13 score on that very famous math competition to an 83. Wow. All right, so yeah, we'll have more in the newsletter on that and make sure to go check out that bonus episode. Yeah, we, we did a twofer last night. Late night. All right, so now I'm excited to have a guest here on the show. If you follow AI at all, there's a good chance you've heard of our guest, so I'm extremely excited to welcome onto the show. There we go. We have Pete Ericson, the founder of modev. Pete, thank you so much for joining the everyday AI show.

Good morning Jordan, thanks so much for having me on.

Oh, absolutely. It's going to be a fun conversation as we talk about AI's impact on the workforce. But Pete, before we get there, tell us a little bit about what you do at Modeville.

Okay, so Motive is a 15 year old organization. In fact, I am wearing my 2014 five year anniversary shirt. I did that in honor of our conversation this morning. So for 15 years I have been building technology ecosystems. Motive stands for mobile development. And you know, when the iPhone had come out, I found myself having just come out of my, you know, third startup over the previous 10 years, none of which had exited at that time. So feeling pretty much like there has to be something more here. Lo and behold, the iPhone and the Android come out the app stores. And so I saw a need to build community and I built a mobile developer community and just went on this journey I didn't expect. And that was a journey of building conferences and being at the heart of the conversation and figuring out how do we lift everybody up and how do we give people opportunities. And so that's been my life's work now for 15 years. And here we are now in the 8th AI era. And you know, I come to you, it's Friday morning and I'm kind of buzzing this morning because I'm also a musician. And last night I played this really fun show that was for the DMV Rising event, which is a cyber security event and community. And it was on this rooftop in downtown D.C. and it was really fun because my, you know, my musicianship and my technology, you know, ecosystem and community work all sort of came together. And so, you know, played for a few hours on this rooftop last night. It was a lot of fun.

Yeah, that's, that's amazing. And hey, real quick, shout out to our live stream audience. So everyone, Cecilia Marie, Dr. Harvey Castro, back in the house. Denny Rolando, everyone, thank you for joining. If you have any questions, now is the time to get them in. But hey, sometimes Pete, we just skip straight to the end. That's what I want to do here. So tell us, what is going to be AI's impact on the workforce?

It's going to be massive. And I've been a part of the workforce conversation for some time. Oh, by the way, I just want to say real quick, in 2011, when Siri came out for the, for the mobile phone, we had an event, a two hour event where developers just gave testimonials about how voice AI could impact their mobile applications. That was in 2011. So, you know, here we are all these years later. So it's very fun to be thinking about this. But workforce transformation is a big topic. So another thing that I do, I organize the AI House at CES. So this year it'll be January, January 28, it'll be on site at the Las Vegas Convention Center. It's going to be a lot of fun. But last year we had, we had Julie sue, the acting Secretary of Labor. We had Liz Schueller, the president of the AFL CIO. We had Jesse Ehrenberger, Dr. Jesse Ehrenberger, the president of the AMA. Well, what was the topic of conversation? What was interesting is Acting Secretary Julie Su was the moderator for this panel. So we had a secretary, cabinet level secretary, moderating a panel on workforce transformation at the hands of AI. So this is a very big topic. It's a topic globally. And what you're finding is big economic regions are making really strong plays to be centers of excellence with regards to AI because it's going to have a massive impact. It's going to impact if you are a writer, a designer, a developer, a product leader, an entrepreneur. You know, if you are a city and you're trying to make plans, you've got to know that this is coming. And I would liken it. It's a little, you know, it's a little like the, you know, the, the arrival of the steam engine versus, you know, manpowered labor. So we've got, you know, white collar workers and knowledge workers are basically have been using our, our brain power and our manpower to actually create things. And that's going to change. So there's a wholesale difference in the economic landscape, landscape globally. I'm working on a book on this topic that'll be out in December about, you know, thriving in the era of the AI. So big, big impact. Jordan, I'd love to talk more about this.

So, you know, you started to mention off, you know, and I like what you did there. So, you know, I think people think originally, you know, oh, AI, you know, large language models, generative AI writers. But it's so much more than that. Right. Especially now as we get to more capable models that can exhibit, you know, almost this agentic behavior. And you even threw in their cities, right? Yes, entire cities. When they're planning for their futures, they have to take this into consideration. But you know, I actually want to tap into your experience here a little bit, Pete. And you walked us through now celebrating, you know, 15 years at Mode Dev. So can you kind of compare what you're seeing now with, you know, specifically generative AI as artificial intelligence has been around for many, many decades. But how has this kind of compared to other tech innovations that you've seen or that you've kind of been through so far? And how do you Think it might differ.

I do have the benefit of having, you know, graduated high school in 1984 and you know, fun fact, I worked at the very first Costco store. I could, I could program computers when I was in high school. So we got our first Apple ii. So I programmed computers. I saw the arrival of the home personal computer and the only way that you can actually, you know, do anything on it was actually to create your own software. So I was writing games, you know, and other kind of fun programs. But because I could do that when I was 18 I actually opened the Costco store, the very first store down on 4th Avenue in Seattle, Washington. And I would get there at 5:30 in the morning. I would turn on the person, the PC. I would download the pricing data from a 24, 4 pod modem and burn it onto an 8 and a half inch floppy disk, put that disk inside the registers and get the registers loaded up with the daily pricing data. I did that when I was 18. So I've seen, I have seen the technology landscape grow from then. And I would compare what's happening today in generative AI probably compares most with the arrival of the Internet, you know, so the arrival of the Internet was a, was a wholesale change. I worked for a dot com company in the late 90s in Seattle that raised, you know, ungodly amounts of money and basically we, we created a buy button. And the reason I bring that up is, you know, there was so much investment in things that were really, quite frankly simple and now we look at them, now we laugh. But what's happening today is maybe something a little bit similar. Generative AI has so much promise. APIs are readily available. So you see a lot of companies and you see a lot of investment and growth in technologies that just in a few years are going to see. Why did the whole company get stood up around that? So generative AI is driving, a lot of innovation, is being driven at that time today as well. A lot of innovation was driven at the arrival of the Internet. So all those VC dollars that went in and then led to the dot com collapse, they actually had a long term impact. They did eventually do good. But we're combing through that right now. So huge changes in organizations, how we use data, how we organize the work that we do, how we measure that output and you know, but we, we're definitely going through, you know, the balloon is getting bigger and you know, unfortunately, you know, there will be a correction just because there's only so much, you know, absorption the enterprise can do with Regards to technology. So, you know, the more, the more startups you have, that's the more salespeople, the more sales cycles that are putting pressure on the C suite, you know, CIOs, CIOs, CTOs, CISOs. To buy that technology. Just, you know, it's like a bottleneck. It backs up. Eventually, you know, there's gonna be a bit of a challenge, but, but it's definitely an exciting time. That's why I'm here for it.

Yeah, love, love the story of the first Costco. I'm a huge Costco guy, you know, love, love my berry berry smoothie from there, you know, but you just walked us through, right? Like you, you were creating, you know, programs for a store to use, right? Like one of the biggest, you know, now retailers in the world. How do you see, you know, I, I kind of want to go down that route a little bit here. I wasn't expecting to, but you know, even creating applications, right, this is something I'm not a technically a programmer. I can, you know, I've been doing basic, you know, HTML, CSS, JavaScript for a decade or so. But you know, now I can go in and create a program for myself to solve a problem and you know, a couple of minutes. What do you see as the future of that? What do you see as the future of, you know, people? Are we all just going to be creating apps for ourselves to use? Is that going to be a common occurrence even for people who are maybe non technical? And is that one of the ways that the workforce transforms?

I think basic apps, certainly it's going to be, you know, you can do things just like you can stand up a basic website now you can go to Wix or you can go to Squarespace and you know, you can do that. It's pretty, pretty cheap. Whereas, you know, just 15 years ago it would have cost you ungodly amounts of money to do the very same thing. But I would say that, you know, we're entering an era of software management more than software creation. I don't believe that developers are just going to, you know, be a thing of the past. Developers are going to have to change how they work. You know, I'll use myself also, you know, I run a company, we hire people all the time, designers, writers, developers. I want people that are using, actively using AI tools. You know, I can go and create an image on, you know, on Mid Journey or Dolly, but I'm not a designer and quite frankly my prompts are very simple. But a designer is going to have the ability to write prompts that I don't. And they're going to create much, much, much better images. Writers are going to have understand writing structure and be able to actually produce much better output. So my encouragement, the reason I'm writing this book about thriving in the era of AI is that it is a time to really embrace these tools and lean in on our humanity as it relates to AI. And that's going to be the best result for anybody that's trying to get ahead in this market. So software developers, maybe they need to take a little bit more abstract view of software, but the good software development principles still apply, right? Good rules of thumb, really good hygiene when it comes to code. So, you know, if we rely 100% on AIs and we don't know, you know, about that output, whether we're a designer, a writer, a developer, you know, you're going to end up with not a very good product. So yeah, you and I are pretty technically proficient. We can use AI to do a lot of things. But when it comes to, you know, when it comes to really mission critical things, I'm going to hire a developer, I'm going to hire a writer, I'm going to hire designer. I still do. That hasn't changed. Yeah.

And you know, speaking of thriving in the era of AI, Pete, I think a lot of the conversation and attention over the past two years, especially since the literal chat GPT moment, right, has been on jobs, right? There's been both the fear of, oh, is AI going to take my job? And then there's been the uncertainty of how do I prepare for what my, my job, my career or my company will become in the future. How should the average everyday person, right, kind of regardless of their role, how should they be following along? How should they be keeping up? Because the transformation is coming.

It's coming. We're all, we're all going to have to transform the way that we work and the way that we operate. And you know, for the first time, for the first time, I just flew for the first time, Jordan, I know several developers that are out of work and it is a direct result of AI, don't get me wrong, because what's happening is organizations are slowing down their hiring because they're trying to figure out how do they resource in the era of AI. It's not that they don't want to hire developers, it's just that, you know, and it used to be that any developer that I knew that had maybe at least, you know, two or three years of experience was working. And I know several developers that have 25 or 30 years of experience that are not working right now. And, you know, my encouragement with all of them when I speak, when I speak with folks, and I'm not a recruiter, but I just do everything I can to try to place people into jobs if they're looking is to really embrace AI. So I would say start getting, you know, start understanding the tools. If you're a developer, you should definitely, you know, you should definitely be experimenting with Copilot and, you know, Codium and TAB 9 and some of the other platforms that are out there that can Write code now, ChatGPT can write code and so Claude and others. But, you know, really become a proficient AI developer. That means basically using AI to become a better developer. So I would encourage anybody that's out there in the field of, you know, any, any creation field, right? Writing, designing, even user experience and, you know, software development, even product management, lean in, lean in on the tools, really understand them. So just really understand, make it part of who you are, make it part of your resume, make it part of your capabilities. It's just no different than, you know, needing to be good at, you know, Microsoft Word and Microsoft Excel and PowerPoint back in, you know, in the late 90s and, you know, early 2000s, you really needed to know those things if you're going to be in the knowledge working space. And if you didn't have that on your resume, chances are you were going to have a hard time finding a job. I think the same thing applies today.

Yeah, that's, that's a great point.

Right?

Yeah. Like, you know, if over the past two decades, if you, you know, don't have proficiency in something like Microsoft Word or Excel, it could be difficult to, you know, find and keep gainful, like to, to be gainfully employed. Right. So, you know, I, I both, if, if I'm being honest, I both love and I hate the concept, right, of, of, you know, when, when people say, oh, you know, you just got to dive in and use it because it, it seems so complex yet so simple at the same time. I love the example though, that you gave there kind of about Microsoft products. But, you know, I'm curious, Pete, even for yourself, how has AI transformed your work? Personally, modev the work you all are doing, maybe if you can quickly give us an overview of that could help us kind of envision this bigger transformation that we might all have to start making. Are you still running in circles trying to figure out how to actually grow your Business with AI. Maybe your company has been tinkering with large language models for a year or more, but can't really get traction to find ROI on gen AI. Hey, this is Jordan Wilson, host of this very podcast. Companies like Adobe, Microsoft and Nvidia have partnered with us because they trust our expertise in educating the masses around generative AI to get ahead of and some of the most innovative companies in the country hire us to help with their AI strategy and to train hundreds of their employees on how to use Gen AI. So whether you're looking for ChatGPT training for thousands or just need help building your front end AI strategy, you can partner with us too. Just like some of the biggest companies in the world do. Go to your everydayai.com partner to get in contact with our team or you can just click on the partner section of our website. Will help you stop running in those AI circles and help get your team ahead and build a straight path to ROI on gen AI.

Absolutely. Well, you know, when we. So many different ways for one thing, you know, my own writing, I use, I use several of the different tools for writing just to, you know, I put in my own writing and then I have it improved my own writing. I really want things still in my, my own voice. But I'm neurodivergent. I have adhd so the tools really help me become more productive. I use Perplexity for a research all the time. I'm using Perplexity for research if I'm, you know. A great example is we got asked by CES to produce a neurotech conference at CES this year, right? I'm not in the neurotech space but we, I will be in the next month. You'll see the site come live and you'll see us announce this soon. Exciting, really exciting. Well, I use Perplexity to really help me understand more about the neurotech market. Who are the key players. If I invite speakers, who should I be thinking about inviting? Wow, what a really great, you know, tool to have right at my, right at my fingertips. And you know, I encourage my teams as well. We really want to make heavy use of AI wherever we can because it quite frankly it can help us, it helps us write better emails, write better marketing copy and we're on HubSpot. So HubSpot's done a good job of incorporating AI tools into the, into the platform as well. So I would just say anywhere I can use it, I'm you know, definitely use it and, and you know, I'm no less of A human being. I, you know, it's, it's, I'm still doing the work and, but it does give me some, it gives me back some time, some time to, you know, create. I've got big plans for 20, 25. I mean, I got to tell you, like I'm making, you know, what I feel like are like impossible goals. We want to launch this new conference called Generate, which is all around AI upskilling. I want to launch it on five continents. So, you know, how do we go do that? Well, AI is really helping me understand, you know, where are the, you know, what are the key market. What are the key markets I should be in in South America? Well, I can ask, I can ask. And not just one of the, ask them all. Compare the diff, compare the different answers, you know, synthesize all those responses into one. Right. So there's just so many things, you know, we can do with AI and as a, as community builder, I'm taking full advantage, but quite frankly, I think it just makes me better at what I do.

Yeah, and you mentioned something in there, Pete. This, the concept of upskilling, it's now been the new buzzword of 23 and 24. I feel upskilling, reskilling, skill shifting. Right. What does that process look like? Because I think that is, if I'm being honest, I think that's going to be one of the biggest impacts of the workforce because companies I think are going to see pretty sizable, at least efficiency, productivity gains. And then they're going to say, okay, how can we start, you know, reapplying some of that time to other areas, maybe new business, new areas of growth. How do you see that playing out or how should it play out?

Yeah, and I think you hit the nail on the head, Jordan. I think that this is about actually increasing productivity, increasing profitability, but not just getting, not getting rid of people. This is not about, I think, I think organizations that see this as an opportunity to reduce headcount are seeing it the wrong way. Organizations that see AI as an opportunity to increase profit per employee are seeing it the right way. And you know, people are hungry and eager to thrive in their careers, to get ahead. And AI offers that opportunity is to just, you know, to, to be more productive. And regardless of what job they're in, whether they're an analyst, whether they're a writer, designer, developer. So I think smart organizations are embracing AI, getting their staffs trained up on tools that they can use in their day to day work to become more productive. And like, you Said, I mean, I think what you're going to see is, you know, every company has a release pipeline probably a couple years long, right? They're like a product releases that are out. Wow. Imagine being able to shrink that timeline down so you actually can have a better product out there. You have a better experience for your clients. Whether you're a B2B company or a B2C company. You can really work on what we call CX automation or CX experience, you know, customer experience. And you can start to pour into areas that are really, quite frankly, more important. And I think companies will start to understand, like, wow, all that stuff we used to do, like, no one would ever see it. It was really expensive, it took a lot of time and it didn't really do us any good at the end of the day. Well, all these efficiency can be gained by companies that really embrace AI. I think that's what's really exciting and that's what, that's what I'm going to advocate for is for organizations, this is not about people losing their jobs. Right? 97 million jobs are going to be created in AI. The but is the flip side of that is 84 million jobs are going to go away. And, and when we say go away, what it really means is there's efficiencies that are going to be gained. Those jobs can go into more productive areas and maybe even higher pay. So I think that there's a ton of opportunity. I had a great launch with, with Kathy Hackle. If you don't know her, definitely follow her. She is, she is a global leader on the AI stage and she said it's a season of possibilities. And I love that term because that's really what it is. It's an exciting time.

A great question here from Rolando. So he's asking, how do you think generative AI will change leadership dynamics in team collaboration? What are the new opportunities? Speaking of season of opportunity, great question there, Rolando. What are the new opportunities and challenges for executives as AI tools become more prominent in the workplace?

Yeah, that is a really good question. I think a lot of executives are thinking about security. Like, it's almost like they're thinking about security first. Right. So if we're going to start to utilize, you know, large language models internally and open up generative AI tools for our staff, where's that data coming from? What's it being, you know, where's that training data coming from? Are we opening ourselves up? If we're using, let's say we're using data that was trained on copyrighted material and suddenly inside our organization we're starting to use that. Does that open us up? So I think, I think organizations and leadership leaders are really thinking about this. So that's where the role of the chief AI Officer comes in, is that companies are really working hard to implement policy positions for their organization. So I say that's almost top of mind right now for a lot of folks. Now there are capabilities and you know, I spoke with a chief, a officer for a, a big, a global ngo and they are using AI internally, generative AI, they're starting to adopt it internally, but it's all trained on their own data. They, they, you know, they're not, they're not allowing, you know, external data. There's that. And then I do believe that really good leaders are going to enable and encourage the use of AI tools incorporated into their day to day operations. So that, let's say they have their, you know, monthly, their weekly standup meeting, come prepared with your reports, use the tools to generate those reports. Let's be as efficient as possible. So a lot of efficiencies can be gained internally. Yeah, but I would say security policy, that's having a huge impact on companies internally right now. And then capabilities are going to come next and you know, the fastest moving organizations are going to be able to take the most advantage of those capabilities sooner.

Yeah. And you know, I love that. You know, toward the end of the conversation here we're talking about, you know, chief AI officers, you know, kind of a, a newer trend in 2024. Right. But who should ultimately, you know, when we talk about workforce impact, I think there's, there's reactive aspects of that, there's proactive aspects of that as well. You know, who should be owning AI initiatives. Right. You know, whether companies have already gone all in or not, who should be owning it? Should they first be, you know, appointing a chief AI officer? Is this a cto, CIO thing? Who's, who's owning this? Who's driving this?

Yeah, it's a great question. And I think, you know, what I'm finding is in the conversations I'm having with folks is AI is a data function. And so it's almost like the data scientist side of the house is, I'd say, paramount with regards to owning AI from many standpoints. But you've got to have the chief technology, the chief IO officer and, and then you've got the CISO as well. It is a, it's a group function. But I would say that, you know, most Organizations. It seems to me that it's falling. AI in terms of its, its, its use and its implementation seems to be a, you know, a data science, engineering side of the house. But that's not going to be true everywhere. But it seems to be, you know, my anecdotal data and the conversations that I've been having, that seems to be where it's falling. However, I will say this. You know, there's, if people are familiar with the term DevOps, you know, DevOps describes, you know, software development operation that involves really tight coordination amongst, you know, the cio, the cto, the ciso, even the, the cmo, as you know, products and the Chief Product Officer. There's just really good coordination in organizations, have a really good DevOps department that have really adopted DevOps. And I would say those organizations are going to be in the best to really leverage AI, because they've already taken care of a lot of the challenges related to building products and getting those products to market. So people that are great at DevOps are going to be good at AI. And if you're not great at DevOps, you're going to have a very challenging time in rolling out AI.

That's a great point. Yeah. Those companies that do Excel specifically in DevOps, it's almost like they were preparing the groundwork, especially if they've had that, you know, for, for a decade or so. So. So, Pete, we've talked about a lot today so far. I mean, we talked about data security, upskilling, reskilling, you know, even practical ways that, you know, you and your company are starting to transform your own work. But as we wrap up today's show, maybe what is the one most important next step for decision makers to take right now as we are all either going through or embracing for this big AI impact that is coming to the workforce?

I think use the tools. I mean, I, you know, and we're at this, you know, you mentioned at the top of, the top of the show that, you know, OpenAI announced all these new feature releases. Right. It's just, that's gonna, that happens all the time, happens every day. It's why I decided I'm not gonna, you know, just be on LinkedIn, just dropping, you know, release information on that because you just, pretty soon it's all in the noise and you can't keep up. But I would say adopting the tools, starting to use the tools every day and just understand them better. So that's when I really started to, really started to open my eyes and go try them all. Out. Like, this is a time. This is very fun. I mean, it's really interesting. It's a great time of experimentation. So definitely be experimenting. Right now is a really good time to do it. You can get away with experimentation, even if you want to experiment with some small pilot rollouts of products. I mean, it seems to be the rule now more than the exception, Jordan, is that big releases go out and Microsoft has been very good at this, and they're not ready. So it's like, oh, we got to pull them back because it's not ready. You could do that on a small, small, small scale and get away with it. So I'd say it's a time of exploration, a time of experimentation, and I would say include your teams in the process. You know, let them, Let them be a part of this process and enable people, you know, to. To utilize AI, overcome some of the fears out there. But it's a, it's a great time to. Great time to, to take advantage of all these, you know, wonderful products at our fingertips.

Such great advice. You know, this, this was another one, y'.

All.

If, if you're listening to this, bookmark this one, come back, listen to it once a month. I think this is great advice from Pete. From Pete. That will not age. So, Pete, thank you so much for coming on the Everyday AI Show. We very much appreciate your time.

Thanks for having me on, Jordan. I enjoyed it.

All right, quick reminder, everyone. We covered a lot and there is, as always, a lot more. If you haven't already, please make sure to go to your everyday AI dot com, Go check out that bonus episode. Like I said, we already covered the big announcement from OpenAI. So go to your everyday AI.com, sign up for that daily newsletter and we'll see you back for more Everyday AI. Thanks, y'.

All.

And that's a wrap for today's edition of Everyday AI. Thanks for joining us. If you enjoyed this episode, please subscribe and leave us a rating. It helps keep us going for a little more AI magic. Visit your everydayai.com and sign up to our daily newsletter so you don't get left behind. Go break some barriers and we'll see you next time.