Everyday AI Podcast – An AI and ChatGPT Podcast - EP 263: Securing Your Business Future with AI

Episode Date: May 2, 2024

There's so much uncertainty with AI and what's coming next. How will LLMs and other forms of AI impact our business? What can we do to prepare? Luv Tulsidas, Founder and CEO of Techolution, joins us to discuss how you can secure your business future with AI.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion:  Ask Jordan and Luv questions on AIRelated Episodes:Ep 197: 5 Simple Steps to Start Using GenAI at Your Business TodayEp 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for BusinessesUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [e-mail] with Jordan on LinkedInTimestamps:01:30 Daily AI news04:40 About Luv and Techolution07:00 Shifting business focus to AI10:49 Businesses seeking clarity on implementing generative AI.14:35 Companies seek AI for personalized, brand-aligned conversation.19:00 AI creates disruption, new jobs will emerge.21:53 AI limited by internet knowledge, lacks human abilities.25:15 Protecting proprietary AI, monetizing content, avoiding lawsuits.27:34 Start with successful companies' AI transformation.32:33 Ethical views vary in different economic systems.36:00 AI impact on future: Innovation, adapt, bright.38:44 AI should be done the right way.Topics Covered in This Episode:1. Pressure to Adopt AI in Businesses2. Coping with Uncertain AI Environments3. AI's Ethical Implications and Perspective on Job Protections4. Balance and Ethical Consequences of AI Deployment5. Future Shifts in Job RolesKeywords:AI in business, tech boom, practical AI solutions, FOMO in AI, large neural network models, domain-specific training, AI apprenticing, job protection, economic systems, Universal Basic Income, job layoffs, pursuing passions through AI, proprietary AI, Google and AI, data compensation, ethical AI, AI ROI, AI-generated business processes, AI and job losses, securing business future with AI, ad-funded AI chatbots, US government and AI, OpenAI's plans, artificial general intelligence, human jobs and AI, disruption of jobs by AI, problem-solving with AI, data quality in AI, AISend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

This is the Everyday AI Show, the Everyday Podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business, and everyday life. Meet Firefly AI Assistant, now live and Adobe Firefly, the All In One Creative AI Studio. Just describe what you want to create and the assistant handles the rest, orchestrating multi-step workflows across Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome. The assistant accelerates execution. There's so many uncertainties in today's day and age with AI.

I would actually say one of the few certainties is we don't know what's coming next, how the next large language model or the next version of the next big AI, how it's going to impact our businesses and our careers. And although we don't have all of the answers, One thing we do here at Everyday AI is we bring on very smart people who can help us understand what's next. So that's what we're going to be doing today is talking about how you can secure your business future with AI. I'm excited for today's conversation, y'all. Thanks for joining us.

If you're new here, my name's Jordan. I'm the host of Everyday AI. We're a daily live stream podcast and free daily newsletter helping everyday people like you and me, not just learn AI, but how we can all leverage generative AI to grow our companies and to grow our careers. So thank you all for joining us. And if you haven't already, make sure you check out your show notes. So go to and also go to your EverydayAI.com and sign up for our free daily newsletter. We will be recapping today's conversation.

All right, before we get into the topic and we talk about, yeah, what is? How can you secure your business future with AI? Let's go over the AI news for today. So first, ad-funded AI chatbots for news are going to soon be a reality. So Axel Springer and Microsoft have just announced a partnership to develop AI-based chat experiences, advertising technologies, and cloud services. So this collaboration will advance Axel Springer's AI activities and potentially change the way that people consume content online. Hey, I hope you guys still show up here even after this. And if you don't know, Axel Springer is a very

prominent digital publishing company based in Germany known for its various brands and publications. So this new partnership will focus on developing AI offerings and chat experiences to better engage users with Alex Springer's journalistic content. The chat service will be monetized through advertising using Microsoft's advertising chat ads API. Also, this partnership reflects this growing trend of major tech firms signing deals with media companies. Talked about that with Open AI and the Financial Times the other day to distribute their news and license training data for AI systems.

I think these big companies are trying to get ahead of the inevitable lawsuits that are going to be coming. All right. Next piece of AI news. the U.S. government officially doesn't want AI starting a war. It's good to know, right? So a senior U.S. official has urged China and Russia to declare that only humans and not artificial intelligence should make decisions on deploying nuclear weapons. The U.S. has made a strong commitment to human control over nuclear weapons and believes China and Russia should do the same. There's been recent discussions between the U.S. and China on nuclear weapons policy and artificial intelligence.

kind of first talks in a while. China has called for a no first-use treaty to be negotiated between the major nuclear powers. However, right now, there's been no immediate response from the Chinese Defense Ministry to this new U.S. official statement. All right. Our last piece of AI news for the day, Sam Altman, has shared some of OpenAI's future plans in an exclusive interview and a panel yesterday. So Sam Altman, the CEO of OpenAI, shared his vision for AI tools, becoming more integrated into daily life, potentially surpassing smartphones and usefulness. Yeah, I think that's a safe bet there. So a couple key takeaways.

Altman envisions AI as a super competent colleague that knows everything about our lives and can perform tasks for us. He also said that he believes the future. AI may not require new hardware, but new device would be super beneficial. And as you know, Open AI is facing a lot of challenges in finding enough training data for their models, but Altman remains hopeful that a solution will be found. in an unrelated panel discussion at Stanford. Altman said some things like, you know,

hey, GPT4 now is the dumbest model. He said, you know, that will ever use. He kind of said it was embarrassing, but also something I picked out is he said that they may just burn up to $50 billion a year building AI and, but he said it, or building AGI artificial and general intelligence, but he said doing that would be worth it.

So an interesting, some interesting takes there from Open AI CEO about the future of AI. And speaking of that, that is today's conversation. So what do we need to know about securing your business future with AI? I think it's an important discussion. And don't worry, you're not just going to listen to me mumble on. So let's go ahead and bring on our guest today. I am super excited to have on the show, Love, Tolstidas, who is the founder and CEO of Technolution.

Love, thank you so much for joining the Everyday AI show. Hey, Jordan, good morning. Thanks for having me on. I'm excited for today's conversation. And hey, if you're joining us on the podcast, I just have to point out, Love has one of the coolest setups and backgrounds, just saying, you know, but hey, Love, can you tell us a little bit about what you do and a little bit about Technolution? Yeah, Technolution is a company that I founded back in 2015.

We've been doing digital transformation, whatever that means, that definition changes over time until last year where we went all in on AI. So what we do now, we build custom AI solutions for our clients, mostly enterprises, mid to large enterprises, and some selective startups that we decide to work with. So customers come to us with ideas, business problems. So we take that idea and turn it into AI and robotic solutions that's generating ROI in the real world. So with that said, I know you also run a consulting, AI consultant. AI consulting company. So you're actually in the front line working in the real world with customers like we are.

And I can tell you, I don't see AGI anywhere close, you know. I think AI is in its infancy right now, just like the internet and computers were back in 2000. It's exciting, especially being in the space that we're in. But I'm going to challenge Sam Altman and say, AGI is not going to be, at least I'll lifetime. Next year, I could sit here. You could make fun of me for being wrong. But at least that's what I see right now. Oh, man, I love it. I already have so many follow-up questions on this. But, you know, hey, to our live stream audience, thank you for joining us. If you do have questions here for love, you know, make sure to get them in now because I can already tell today's

conversation is going to be a great one. We already have hot takes. I love it. But love you, You know, one thing that you just said there is you kind of, your company, who's, you know, a very, very large company and working with a lot of clients, made this kind of decision recently to focus more on AI. I'm curious. What led to that decision? And, you know, looking back at it now, you know, I'm sure it wasn't an easy decision. But are you happy that you made kind of that shift to, you know, really focus most, mostly on AI? So I'm extremely happy I made the shift early on. Fortunately, I grew up with a passion for AI. And my passion for AI was well before I even knew what it meant. Remember Knight Rider?

Did you watch that as a kid with Michael Knight? For most people, he was the role model. For me, it was Kit. I love Kit. And I always wanted to build Kit. But anyway, so back in 2015, you couldn't really make money building an AI company, you'd get little sprinkles from innovation departments, and you can really do what I was trying to do, right? So we went with what we knew, cloud building apps,

modernization for enterprise and all that good stuff. But towards the tail end of 2022, even before opening I was as hot as it was, I could see that digital transformation was saturating. And as you know, in tech, we have to innovate every few years. That's why. I call the tagline from my company is called innovation and innovation changes over time. So we went deep. We were investing. And if we didn't do that in 2023, we'd be in big trouble right now, like we were during the early days of COVID. Because everybody's budget, every enterprise now is not talking about, hey, moving to the cloud or modernizing the SAP.

Everybody's like, what are we doing with AI? Let's go. We have middle managers we talk to who are like, hey, I don't know what to do with AI, but the board is telling my CEO that we have to do something with AI. Because everybody feels, I don't know about you, I feel like I'm old enough to remember it, 1999 and 2000. That's when I was starting my career right now. It feels just like that when the internet and computers was coming for the world. And that's where we are with AI.

And I'm excited. I'm excited. If I hadn't made that transformation, which, by the way, I followed the 10 secrets that I was writing. in my book. I was wrapping up my book last year, and I found myself having to put it in practice to transform my company just to survive. And we're in the tech business, right? Now, let me tell you another little story that's interesting. Are you from a tech background? Are you an engineer? Or what's your? I would say tech-ish, right? So not traditional tech, but I've worked around technology, you know, for the last, you know, 10 years. See, I'm a tech bro who learn how to do business.

So I love engineering, writing code, even though I haven't done that for a few years now. And just literally last year, we built a tool that wrote a very old code in C-BASIC for a big customer of ours. We wrote it in Python and figured out what the C-BASIC experts could not figure out, wrote the unit test case, built the UI and deployed it. And I was like, dab. If you think you're going to make six figures programming, man, think again. So now I tell nieces and nephews, don't look at me and go just jump into a Compsi program. Now, there's a place for ComSai majors, but I think the people who just came in for the money learned programming. I mean, it's already a difficult market, right, since Big Tech have been laying off and AI has not even kicked in yet.

So things are about to change in a big way. You know, and gosh, so many things again, love, like I feel I should just be, you know, peppering you hot seat 30 second questions. But, you know, one thing that you said there that's, you know, really, really interesting to me is all of these companies are kind of looking at each other, you know, the CEO with the board member, you know, probably high ranking employees. Everyone's saying like, we need AI. Like, we know we need it.

But what's next? How, like, how to do it? So I'm curious with the clients that you're working with, the companies that you're working with, the companies that you're talking to, are they more excited about leveraging generative AI? Are they more confused? What would you say in general is kind of the pulse of these companies that are coming to you and just being like love? Like, we need AI, like kind of encapsulates, you know, the feelings of the business world,

at least those coming to you right now. So I think it's a good combination of FOMO because they know all the companies, the big companies, Kodak and Blockbuster, that got disrupted. And so between FOMO and also having a business need, because, you know, we have a major labor shortage in this country, especially in mid-skill jobs, right? And we also have major inflation. So a lot of customers are coming from a place of hurting, suffering, having to answer to their shareholders.

And also, but the mid-managers don't know what to do, right? Like how do we get started? What's possible? What's not possible? Because they know not everything's possible. There's a lot of vaporware out there, right? But I actually watch one of your guests say, hey, OpenEI's new store sounds great. There's a lot of excitement.

But how much valuable stuff is on there? I actually saw that video yesterday. And it's true. There's a lot of that going on. But there's a lot of real stuff also happening. So I think the big secret that everybody's trying to figure out right now is what are bets. that are not worth taking unless you're big tech, you could keep going with billions of dollars for a decade.

What's practical, what's achievable. And there's a little bit of both. And those who figure out the truth, make the right bets. I think are the ones who are going to win. And that's what everybody is after right now. Yeah. So, I mean, let's just skip to the answers then, you know, and we'll circle our way back around.

So, you know, for those companies that are very, you know, feel uncertain. about their future business. They feel uncertain about where this technology is heading. How can they secure their future with AI? What are you telling companies right now who are coming to uncertainty? Yeah. I'm going to see something that might be controversial, especially if you have listeners from Big Tech.

So a lot of Big Tech would want you to believe that they're large neural network models, whether it be an LLM or in computer, vision robotics will work out of the box, will fix their problems out of the box. If that were true, then I wouldn't have a business today. You probably wouldn't have a business. You just turn it on and go, right? The truth is that it doesn't work like that. There's a lot of customization that needs to happen.

Now, a lot of projects from the beginning, if someone knows what's possible, can tell you, this is a long shot. It's not going to work. But these things are very possible, right? Like right now, Gen. I is a lot more possible than some other AIs that you might see. That's why it's very possible. But out of the box, right, can you just turn on chat GPT and have it do customer service for your business? Probably not.

And you might be afraid about what it's going to say. So companies want to still keep control. And I will say something about Gen. I have noticed. What most companies want, they want the conversational power and the reasoning power of LLM, but they don't want their not. knowledge and their opinions. They want it to know about their business, whether it be sales, your product, your services, and all the depth of that. And they want it to speak in their brand tone,

not someone in San Francisco who set the brand tone of the LLM. So how you take it from that to this, and it's not binary. I equated to this way, right? If you're trying to, and mostly AI today's AI, what we're trying to solve today with AI is different from the AI that's been applied in companies for more than a decade now. The previous version, machine learning and data scientists, were mostly hired to do advanced analytics to look at the past and forecast the future and do that as accurately as possible. And this is not something that humans have ever been good at. We weren't born to do that, right? But today it's kind of AI is trying to automate things that humans have been the only ones that are able to do it because if computers were able to do it,

I guarantee you there'd be a software or robot doing it already. And that's been the challenge. But now AI is getting closer to being able to do that. But the approach, you're trying to teach it a human skill, right? But you're trying to teach it not the way that humans learn. So how do we learn a skill? Like if I want to be a heart surgeon, I want to be even a plumber. Maybe I go to school.

I learn from the literature. I do some lab projects. And do I just go out there and do surgery on people? No, I apprentice under an expert in the real world. And that's where I learn things that don't exist in the lab literature and on the internet, that I can only learn from that expert. And that's the gap in AI today. And that's the gap that we are working on filling.

So you don't want to go start your own school. You don't want to go train your large neural network model for the most part, unless you're big tech and you can afford it. So you hire a college grad, which is a large neural network that big tech is built. And then you apprentice it under your domain experts. And you want to keep control of that. So it's not like, hey, get rid of the humans, bring in the chat chippedy and it's going to take over. That approach doesn't work.

But for some reason, there are many people who want you to believe that's how it's going to work. But being in the field, I know you do this too. That's not how it's working. Yeah, and on that topic and, you know, for our live audience, don't worry, I'm going to get into AGI. I see a question or two here about it already. But do you see then the future, you know, and I know there's always fringe cases and every company's different, right?

You got to throw those disclaimers out there. But do you see many human jobs in the near future almost as apprentice, you know, apprentices of AI? So whether that's, you know, humans overseeing, you know, customized, personalized agents or just, humans kind of training, you know, different AIs on their specific vertical, their, you know, domain expertise. Is that where we might see a lot of human jobs in the future? All right. I'm going to bear with me. I'm going to answer that in a roundabout way. So I, you know, started a tech company doing innovation. I have family, wife, kids. Those are

very difficult things to do in life and I've done very difficult things. But I spent three years writing this book. And this is the most difficult thing that I've done. As an engineer trying to be a writer and trying to be as accurate as possible, it's called the 10 Secrets to Succeed Faster Innovation. When I was done with this book, I said, amazing. It really up my game in communication and writing, but I will never write a book again. And then I find myself in the spot with AI where actually, I don't even feel as bad for the enterprise leaders. They'll figure it out, right? It's the students, the kids that are graduating high school and they're being told, go learn programming. Even if you hate it, go learn it. There's money. And I'm like, no, no, no, wait a second.

You can't see what I'm seeing. I can see what AI is writing. It's writing code better than any average or below average programmers. There are many of them out there. I can tell you this. Right. So I decided to write a second book. So what I'm about to tell you is literally what we're going to talk about in the next book that we'll be releasing later this year. I think it's so important. A lot of people want to know, is my future secure with AI and how do I secure it? So the answer to your question is, yes, there will be a lot of disruption. I can tell you any programmers, writers, a lot of these white-collar jobs that, where especially people are average or below average, and chat GPT or Gemini or any AI can do it better, those jobs are going to be disrupted. No question about it, right?

Especially if people are overpaid for sure. Now, yes, there will be a disruptive period, just like we've had with every major technological revolution from the steam engine to the internet, and then new jobs will emerge. What you're doing today is not a job that existed 20 years ago, right? So I truly believe new jobs will emerge. But I think there's still a role for programmers, people who are problem solvers, people who can go out and meet with customers and figure out what problems they have to then partner. with AI to solve those problems, I don't think AI is going to be able to do that. And I don't think anybody will accept some Sam Altman's AGI. Imagine an AI comes to your office and start asking you questions.

But you don't want to talk to it, at least maybe in Japan, because, you know, they love anime's and stuff like that. But I think in America and most Western countries, we're not going to accept anything that makes us feel threatened by it. That's just how we are, you know. Well, let's just get there. right now. So, you know, and, you know, just if you're listening on the podcast, don't worry, we'll throw in a link in today's newsletter for Love's Books. So you can check that out if you want.

So woozy here with a great question. So thanks for this, Woozy. And anyone else on the live stream, get your questions in now. But, you know, speaking of AGI, artificial general intelligence, I mean, we've heard, you know, Sam Altman and, you know, meta, you know, so the biggest companies that are trillion dollars, you know, trillion dollar companies, they're all working openly toward AGI. So Woozy here asking, what's the big, the biggest obstacle blocking AGI in your opinion? Adobe just introduced an entirely new way to create, bringing the power and precision of its creative suite into one conversational experience.

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You stay in the driver's seat as the creative director. Adobe Firefly AI assistant now in public beta. See it today at firefly.adopi.com. Yeah. So, okay. So think about how, now, we all agree. Today's AI is trying to learn human skills, right? The math, the calculation, all the memorization, the things we weren't good at,

software, traditional software, has been doing that for a while, right? So today's AI is trying to learn human skills and do it as good first, and then maybe hopefully better someday. Now, think about how long we took as a human species to get to this level of intelligence and capability, right? So the biggest problem with AI today, it doesn't have DNA memory, right? So if you have LLM, it knows about this information, but it doesn't know about computer vision yet. Maybe it's learning, right?

And it doesn't know about a lot of history. And it doesn't know about things that are in the real world that's not on the Internet. Because AI can only today, AI can only learn things that is in a database or on the Internet that's been documented. It cannot learn all the things that as human, we know how to pick up. We know how to explore, how to be. good journalists, good investigators, and go figure it out. And AI is not able to do that. And I think there's going to be a lot of challenges.

First of all, as you know, we have a bottleneck right now for GPUs in the world. Let's just start with that. Right. So the infrastructure is not ready for the level of AI that you need to do AI. Secondly, you're going to need a lot of maturity. And remember Elon Musk's new Link project? That was attempting to. give AI this concept of a DNA.

So it doesn't have to learn again and again. And how did that work out? You know? So I think there's a lot of technical challenges. And also you're going to have, are we going to accept it as a species? It's great to have chat chit, write content for you. It's great to have it right programs. But if it's going to threaten to take over and replace the human species, are we going

to accept that. I don't know. You tell me. You know, you bring up an interesting thought here. And I'll go ahead and offer a counterpoint to this. So, you know, about which, which I definitely agree with, right? You know, yes, AI can only learn things from a database. You can only learn things that's documented, right? And separately, I think that there's a huge data quality problem, especially in text, right, with what today's, you know, current large language models are ingesting and scraping off the internet. But in a time now when people are putting out, you know, a lot of original content via video, right, and they're sharing their thoughts, their expertise, their creativity on video. And we know these large language models are now ingesting, you know, all of these videos

and in turning all of this knowledge into their, you know, next models. I guess what's your thought on that? You know, are you maybe saying that these models aren't going to be able to be able to decipher enough of this? Are they not going to be able to turn transcripts into knowledge, connect the dots? What's your thoughts on kind of that disparity? Yeah, I mean, look, Sam Hulton, Google wants

winner take it all, right? Sure, right? And that's why they want to encourage this, push this, get all the information so they could build the smartest AI and win the game, right? But as you know, a government body these enterprises saying, whoa, whoa, whoa, hold on a second. Do not.

They're banning the use of ChachyPT. They're banning the use of Gemini. Now, these companies have gotten smarter. They built enterprise versions with NDAs where you can't learn from my data and share it with everybody else. So a lot of this information that's fragmented out there in proprietary database. Most of them are not even in proprietary database. They're in the brains of the humans that are doing that job.

Right. So yes, if it's in my best interest, I'm going to go put it on the internet if I can make money. But at some point when I realize when I'm putting it out there to the AI, I think you're going to see an emergence of a lot of custom proprietary AI that only my AI has access to my intelligence. You're going to have to pay, subscribes. Why would I give it to Sam Altman or Google so that they can put me out of business? And by the way, what a lot of people don't talk about, there are massive, massive lawsuits that are currently brewing against or being built up against Sam Altman. Forget that Elon Musk being, you know, feeling bad for making a really bad business decisions. He put a billion dollars. It doesn't keep control on the board. And now they get to do what they want and he's sour about it.

That's a different story. But think about New York Times saying, hey, chat GPT, you learn all the stuff from. my website, my content, and I think you're paid for it. And that's just the beginning. And the more companies start losing business, now we're going to be thankful for our frivolous legal system over here. And you're going to see a lot of lawsuits. People aren't just going to go down and say, yeah, you know, Open AI, Microsoft, Google, take it all.

Right. So I think there's a lot more resistance and battles that are going to come. And I think you will see, and we are, this is what we're doing for a living. We're building the kind of AI for companies that only their AI has access to their data. And they are going out of their way to make sure that their proprietary data that gives them an edge is not being transferred over. So it's going to get very interesting and good for us, right? If winner doesn't take it all, then we got a job. Yeah, yeah, love.

And I think you bring up great points. And, you know, anyone that listens to the show knows that that's how I, you know, 100% believe. I think I bring up the New York Times versus Open AI case at least once a week, knowing that's the big domino to fall that will probably set off dozens, if not hundreds of large-scale lawsuits. That's a whole other conversation for another day. But love, I do want to hit rewind a little bit and get back to this point, you know, because I could go off on a tangent. We could talk AGI and robotics all day. But, you know, when it comes to, you know, business processes, right, and getting back to, you know, how businesses who maybe are, know what they should be doing with AI, I think a great place to start is start with companies that

have done it themselves, right? So you talked about even your own company's kind of internal transformation, which, you know, is really related to this question here from Harold. So Harold, thanks for this. So saying, love, I have seen the AI within Fortune 500s. I've seen the estimated savings from those initiatives. So Harold asking, have you seen actual improvements yourself with your company? and then if yes, what departments and uses? Well, great question. And I'll start by saying, did you know that less than 1% of AI initiatives today

is generating ROI? But everybody's patient because they know it's an investment and they're expecting ROI. Now, yes, absolutely. I mean, I could tell you, I can tell you stories about what we're doing for customers that have brought unbelievable ROI. but this is what I call specific purpose AI.

When you're not trying to build AGI, you're trying to build a very specific purpose AI. And I don't want to violate my NDA and tell you what we're doing for customers, but I'll tell you what we did for ourselves, right? For example, right now, since we became an AI company, we've seen a big, big surge in business, right? We kind of flatline with cloud and digital transfer,

big surge of business. Now, since we do a lot of custom development, And then the statement of works are not your run off the mail template and they have to be customized. And guess who's writing our statement of works and proposals today? It's our AI. We've actually built a custom AI that's ingesting a recorded call or a transcript of a call and turning it into a proposal. And it's doing it better than a lot of human beings. That's one.

We are about to roll out a sales agent where you go on our website. You can ask questions about what Techolution does. It replaces that first meeting that salespeople have. We have a lot of engineering that are happening. So we are building our own product that writes code. We call it AppMod AI. Mostly doing modernization right now. But it's built for enterprise, which means that, you know, you could have chat GPT.

You could say, hey, convert this code snippet or write me this code snippet. Fine. But in the enterprise world, you got coding standards. you got compliance. So our tool takes all of that stuff into consideration. It learns for the enterprise keeps the data private. We're using that to write enterprise rate code today. So there's a lot of, I would say, so today we have probably about 500 employees, I'd stop counting, right?

But we have about 1,000 AI colleagues today already, right, in the company. And that didn't replace human jobs. It was just instead of hiring new people that we couldn't find, right, that next level, engineer, AI came in and kind of fill that gap, right? And that's already, I would say, there are more AI employees in the company than there are actual employees, and nobody's lost their job by the thing. Right. So there's a lot of growth opportunities for those that make the right move in the near

future. And I think it's extremely, extremely, it's a very exciting time if you're doing the right thing. But if you're sitting on the sideline saying, hey, what's going to happen? and, you know, I don't know. We'll see what happens, right? Yeah, and love, I want to zero in on that because I think what you said there is extremely important, you know, when we get into ethical AI. And, you know, it sounds like, you know, what you're doing at Techolution, you're doing it

the right way. However, you know, I shared this on our big one year, you know, anniversary show. So if you're listening out there and haven't tuned into that one, I think it's important. But, you know, a lot of the biggest comes. companies in the world, you know, your, your trillion-dollar companies, your Fortune 100s, they're investing billions of dollars into building their own AI or billions of dollars into, you know, AI startups. But yet they are hiring less. They are laying people off. And, you know, some companies, even IBM as an example, said, hey, these 8,000 jobs, nope, those are

AI. UPS, these 12,000 jobs. Nope, we're getting rid of those. They're going to AI. You know, you talked about doing it in an ethical way, right? Like saying, no, hey, we're not going to lay off. We're going to grow, you know, with these new AI employees. So how can companies find the balance, especially public companies who maybe have external pressure to maybe reduce AI. And maybe if they do find ROI in AI implementation, you know, they might say, okay, well, we can cut staff now, which is going to make our share price jump.

How can those people who have to make those hard decisions, how can they deploy AI in an way. Right. So ethical is a very relative, right? So if you're from, let's say, a communist, socialistic-based economy, ethical means protect all jobs at all time. But if you're in a more open capitalistic economy, ethical means probably do what's best for your shareholder first, but also make sure that the most vulnerable part of our society is taking care of, right? So we have a safety net. So a little bit of that balance. And I believe more in the latter, because I actually wasn't born here. I immigrated to this country. And if I believe in socialistic type of principles, I would have gone to Europe or perhaps Russia, right? I came to America because I like it.

But I also believe there should be, you should take care of people, safety net. So something we may have to consider, because if we stop the race and say, you can't, I mean, even before AI, companies have been laying off people, right? And I get it. As someone who runs a company, right, I was an employee for many years at a company. And I used to think differently. Now that I run a company, it's like this, right? If you don't lay off, you might have to shut down your company. So you might lay off 100 people, but you're saving 900 jobs by doing that. Because once you run out of cash flow, you don't have a business. Everybody's gone. So I get that practical aspect of it. But I think where,

where honestly, ethics really comes in is, I believe that there will be short-term disruptions. We may have to consider some AGI, I don't know, not AGI, sorry, UBI, universal basic income. Andrew Yang talked about that a lot during his previous campaign. A lot of people talk about it. And I think it may be something that we consider, because there will be a lot of short-term disruptions, no question about it. Right. But as a human race, if you go back in time, every time we talked about, hey, you know, the internet software, before that, the industrial revolution. Yes, how many people work on the farms? Not that many. Right. But how's unemployment doing today? Are we all on the street? Not far from it. This is probably one of the most prosperous times that humanity has seen. Except now we're enslaved by this, right? We're enslaved by this. Right. That's our bigger problem today. It's mental. health, how much time you're spending on the screen, are we living as humans, or we becoming

one with the technology? But I think what AI is going to do, it's going to free us from having to be in front of a computer, from having to do the things that we do not like doing anyways, right? For me, what I'm doing today, building tech, even if you didn't pay me, I'd be doing this, right? I love doing this. But I can tell you, there's a lot of people doing tech, not because they love it, because there's money in it.

And if they had, they won a lottery, they would say, I'm out of here, right? I won a lottery. I mean, I'm running a good business. I don't have to work as hard as I am. I'm doing it because this is my passion, right? So I think people will be forced to go follow their passion. And what's going to end up happening, because today, a lot of bottlenecks with innovation is because you can't hire good enough Python engineers. You can't hire enough good JavaScript engineers.

You can't hire good enough mathematicians. You can't hire good enough, whatever the skill may be, lawyers. And lawyers, if you hire a legal firm, they got their own agenda. With AI taking away all of that sort of average or below average kind of performance that you've seen from humans who have different agendas, it's going to enable us to go innovate, solve climate change issues, solve, discover, cures for diseases, because we will be forced to go innovate, figure out things that is not documented and bring it back to the AI and work with the AI to take humanity forward. So I think you will see a renaissance of innovation coming soon because AI will force us to be

freed from doing jobs we don't like to do anyways. And on the bright side, on the bright side, I think that we might end up passing over, we might be forced to pass over a better version of the future with AI. And for me, the most exciting part is interstellar. travel, maybe within reach at this point, if we keep innovating and moving faster than we've ever moved before. So I think short term, yes, there's going to be disruptions. We need to figure out how to manage it, how to make sure not too many people end up suffering because of it. But long term, I think this is a very, very exciting time to be living in this world.

Wow. I don't know if you all can hear it out there, but I am pounding so hard on my key board, just notes and insights. I think today has been one of the most insightful conversations that we've had here on every day in a long time. So with that, love, as we wrap up today's show, because we've talked about everything. I mean, we've talked about, you know, ethics, the future of jobs. We've gone through an acronym soup in a good way talking the ROI of AI and AGI and UBI and UBI, right? But when it comes to that one most important takeaway, if a business leader is out there listening and they're saying, how do I just secure my business future in this wild world of AI? What is that one takeaway that you give to them? I would say there are two steps.

First, figure out what battles you want to take with AI because that's where success and failure begins. You pick the wrong battle. You're going to be wasting a lot of time and money. step number one, what to do with AI, pick the right battle. And actually, this book has some great tips on how to guide you on what I call picking your wow factor for the zeitgeist, this new zeitgeist that we're in right now, right? Secondly, I would say, you know, you mentioned that earlier, you want to make sure you do it the right way.

There's a good way of doing AI and there's a bad way of doing AI, right? It's not, I mean, today, you know, if you look around, how much automation do you have around? Well, people might say a lot, but if you think about Hollywood movies from the 80s, 70s, we're far from that level of automation. And a big part of it because we've not been necessarily doing AI the right way. So figure out how to do it the right way, set up a center of excellence. And as you said earlier, there are many thought leaders of AI out there that are giving advice, charging a lot of money for it. But you don't want thought leaders. AI is something living and breathing.

You want what I call living leaders, people who've done it, done it successfully. They could show you what they've done. And I would hire them as a coach. I just watched the movie recently for the fifth time. Remember Karate Kid? Make sure you find you're right, Mr. Miyagi, to coach. on how to win the AI battle. Wow.

So much. Just great insights. So many great insights today from you, love. Thank you so much for your time, your expertise. We really appreciate you coming on the Everyday AI show. Awesome. Thank you, Jordan. This is a lot of fun.

And hey, everyone, as a reminder, so, so much we covered in today's show about securing your business future with. AI. If you missed it, maybe you're out walking your dog or on the treadmill. I apologize. People say, oh, you know, this is my 30 minutes on the treadmill. Sometimes I keep you on for an eight or 10 minutes. Today's one of those days. So make sure you go to your everyday AI.com. Sign up for that free daily newsletter, which myself, a human, will be writing right after this. Thank you for joining us. We hope to see you back tomorrow and every day for more everyday AI. Thanks, y'all. Meet Firefly AI assistant. Now live in Adobe Firefly, the Allman One Creative AI

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