Assets and Taxes - Why A.I. Is A MUST For Your Business In 2025

Episode Date: May 21, 2025

If you're a business owner and you're still not sure about AI, the long story short is that if you're not using AI in your business, you will be so far behind. In this episode, Kent Fitzpatrick, AIFA��, GFS®, MSCTA©, sits down with Paul Baier. Paul is one of the leading minds in this AI revolution. He's the president and CEO of GAI Insights. They talk about everything from where AI is heading to actionable tips and insights on how to use AI to scale your business.(0:00) Intro(2:15) Is It Too Late To Adapt To AI(2:59) Why Is AI No Longer Optional(5:20) What Are The Different ChatGPT Models(7:12) How To Prompt The Right Way(8:01) How Does A LLM Work?(11:25) Biggest Missed Opportunites For Small Business Owners(13:39) Which AI Tool Should You Use?(15:00) Do AI Models Learn From Their Mistakes?(15:56) Can A Small Business Outpace A Large Business If They Use AI?(17:45) How Are Successful Entrepreneurs Learning About AI?(21:15) How To Get Ahead Of AI?22:40 What Does GAI Insights Do?(23:42) How To Know If A Company Is Falling Behind?(25:25) Which AI Tools Should You Use For Certain Tasks?(27:38) What Can Humans Do That AI Can't?(30:20) What Does The Future Look Like For AI(32:20) What Should Business Owners Do Right Now?(34:38) Should You Ask AI To Do Write For You Or Give You The Framework?(36:10) How Can Businesses Show Up On AI Platforms?(37:45) What Is GAI Insights Doing?(39:40) Paul's TED Talk(40:57) Will AI Take Everyone's Job?(41:21) Can Small Companies Afford AI?(41:41) Do You Need A Technical Co Founder To Use AI For Your Business?(42:00) Will AI Ever Slowdown?(42:40) ConclusionConnect With GAI InsightsWebsite: https://gaiinsights.com/Generative AI Newsletter: https://gaiinsights.com/generative-ai-newsletterGAI World Event: https://www.gaiworld.com/Our Financial Wellness Tool: https://assetstrategy.com/myblocks/Our Financial Guides: https://assetstrategy.com/financial-guides/ Once you're ready, we can offer you some professional guidanceBook a FREE discovery call today to explore how we can help you: https://assetstrategy.com/contact/Call the Asset Strategy Team: 781-235-4426Connect With Asset Strategy:Website: https://assetstrategy.com/LinkedIn: https://www.linkedin.com/company/asset-strategy-advisorsFacebook: https://www.facebook.com/people/Asset-Strategy-Advisors/61573136047425/Instagram: https://www.instagram.com/asset_strategy/--Because investor situations and objectives vary this information is not intended to indicate suitability for any individual investor.This is for informational purposes only, does not represent legal or tax advice does not indicate suitability for any particular investor, and does not constitute an offer to purchase or sell investments.Advisory Services are offered through Asset Strategy Advisors, LLC (ASA), a SEC Registered Investment Advisor. Securities offered through registered representatives of Concorde Investment Services, LLC. (CIS), member of FINRA/SIPC. Insurance Services offered through Asset Strategy Financial Group, Inc. (ASFG). ASA, CIS, and ASFG are independent of each other.ia-sc-r-a-448-5-2025

ChatTPT with no marketing got 100 million users in two months. They did 4 billion last year, they're going to do 12 billion this year here. This thing's on a rocket ship, nothing is slowing this down. Will AI take everyone's job? All the experts, AI experts believe within two years, 95% of everything humans do cognitively, the AI robots can do better here. Welcome back to Assets and Taxes. I'm your host, Kent Fitzpatrick, Managing Director of Asset Strategy.

Let's be honest, if you're a small, mid-size or even a large business owner, all this talk about AI can feel overwhelming. Everyone's saying it's the future, but no one really telling you how to size or even a large business owner, all this talk about AI can feel overwhelming. Everyone's saying it's the future, but no one really telling you how to actually use it to grow your business. Maybe you've tried chat GBT or Claude or Grok, but you're wondering how do I actually put this to work in my business?

How do I use AI to save time, streamline systems and stay competitive without falling behind? Well, that's why I have my friend and colleague, Paul Beier, in the studio with us today. He is the CEO of GAI Insights and he's someone that helps companies figure that stuff out. So Paul, thanks for being with us here. So I'm going to open up that, and this is a topic that I'm passionate about and I'm still a neophyte, but you know, maybe through the conversation conversation you can help us get there.

So let's maybe just start by talking about the gaps that you see in the AI marketplace and what made you launch GAI Insights? Sure. Yeah, thanks Kent. My experience, professional career has been 30 years in software development on the vendor side creating. I spent five years at a company called First Fuel where we had seven PhD machine learning specialists using traditional AI.

The thing about technology for decades, it was always aspirational. Use blockchain, the future will be better. Use Metaverse, the future will be better here. When I saw ChatGPT, it was exactly the opposite. Chattu Pt out of the box was transformative as it was and that's what really woke me up and said boy we really helped people understand how fascinating this is and how big a change this is.

Now let's maybe set perspective. This is only like a two-year window right we're talking about since the launch. Yes it's just been two years which is kind of stunning. So as a small mid-sized business owner, should someone feel like the trains left the station and there's no hope for them, or? No, no, I think we're in, ending zero, zero, one

of all this here. It's a tremendous opportunity, but I think the important thing for small business to understand is this is a major trend and it's not slowing down. So you do need to start getting on the awareness curve, you do need to get on a learning curve, and you need to find ways, and we can help you today a little bit, sort through the hype and really focus on what's real today to drive profit and revenue in your business today. So you

know we're talking about artificial intelligence, AI, so why is this no longer optional for any business? Because if I'm flipping burgers or I'm a lawyer or I'm an artist like why is it apply across any industry? What's amazing about this particular technology is historically for humans to talk to machines we had to learn software coding so 26 million people know Java around the world they need to know Java to talk to machines. Everyone, all 8 billion of us know our own language. So if you can communicate your own language, you can now talk to machines. And what that means is these machines now are able to do cognitive tasks like writing

a business plan, critiquing a business plan, contacting customers, dozens we're going to talk about today in a way that's as good or better humans here. And that's what's transforming. And that's why Chachie BT, with no marketing, got 100 million users in two months. It's the fastest adopting technology ever. They did $4 billion last year. They're going to do $12 billion this year here. This thing's on a rocket ship.

Nothing is slowing this down. And Amazon itself is spending $100 billion just on its technology and its war against Google and And and Microsoft so the technology curve is accelerating So that interaction is what's what's unique and I'll tell you a quick quick story And I've referenced my mom because she's 91 and we were driving and I was trying to describe to her What AI was and and so I basically had my phone, you know I was driving but she was just having a conversation. I teed it up and It was amazing just to watch her interaction. Now. This is a woman that doesn't have a radio a TV

She doesn't have a computer But she was literally interacting with the computer in an amazing way and I even because she's very religious So I asked I asked chat to you Chat to read her a passage or whatever. Like it made her day. It was just an amazing thing to witness. But just hover on that a little and understand why. So part of the way ChatGBT, the Pick That, put the control, it sucked up every piece

of human information, every novel, every blog post, every commentary, every psychopedia, everything in Wikipedia. So it understands human intent and understands human communication in a way that's very nuanced and very sophisticated versus traditional software programs. So you bring up a very good point, and you and I have talked about this too. So if someone goes out to chat GBT and just uses the free version, there's a lot of different options in terms of the drop down, 4.0 or 4.5.

Can you explain that to the audience? Again, we're not trying to limit this just to chat, but I think it's maybe a good place to start. It is confusing here. So let's do some of the basics here. So the box you put in there, prompt engineering, context window, all that means is you put something in the box. So if you're one of the 8 billion people in the world that use Google, you can use these AI tools.

So that's first point. Second is that, I was saying, chat GPT, there are different versions. Most of them have free $20 a month version here. And inside there is multiple models here. The most important things about the models that you have tradition, I'm going gonna say traditional, the models are 3.5 is that if you experience it all, you put something in and you quickly get an answer back.

That's what is kind of the state of the art for the last year and a half since ChatGPT came out. In the last six months, there's a whole new class of models called reasoning models, and that's a step function up. And the reasoning models, you put your prompt in or what you want to get here and then you go get a cup of coffee and you wait 30 seconds, 60,

and it decides, it goes off and decides what websites and how to, so it takes longer but you get a more sophisticated answer here. Is that usually available in the free versions or that's the? That's available, yeah, so the 4o Is the traditional quick answer back and the oh three? Omni three sometimes they call it was omni one omni three. That's the reasoning models here There's tons of variations underneath is very confusing

But at a high level think of those two things and usually want to start in four world because you want something quick But if you really want to go Sophisticated or really get a much more thoughtful answer, then you want to use these reasoning models and O3 is one of those. Well, and we were talking off camera too, we were talking with Brandon during the setup, that a lot of it's about how you engage or how you tease out the information.

So can you maybe describe that? Yeah, there was a couple, it's been a whole host on what is the right way to do prompt engineering, what's the right, and there's lots of different things we we prescribe from what we've seen in our 3,000 person user community here pretty basic things you want to say what role you want it is the task and the output so you are one of the world's best lawyers analyze this lease document and build me a table the

top five risk items and a clause that mitigate here. So roll, task, and output. So roll is lawyer, task is analyze this document, and the output is give me a table here. And that's one simple way to do this. You can obviously just start putting stuff in here, but you'll get a better answer if you give it a little more structure. Okay, so as we've been using this within our practice, obviously I start getting concerned about privacy, maybe we're giving away too much information about our company as we're trying to use it for marketing or communications, whatever it is.

But I'm overly sensitive to privacy policies and certainly not putting any private information out there. So when you talk about these models, so the LLM, large language models, there's public models, maybe it's tax or legal or insurance in our world, but we pivoted to the chat for teams option because my understanding is we're kind of creating our own private LLM, if that's the right term, and we can pull down from the cloud

the inquiries and the information, but the information is going to stay resident and secure within our environment. Can you talk to that? Yeah, so let's do the basics on how training is cursed. So they do the LLM model for 3.5, they sucked up all the information internet, trained it a bunch of way, and boom, now you have a model. And then now models then kind of put in

production. Think of it like an engine in a car. That's put in there. Now while that's being used, data is coming in all the time, but it's not retraining the model. It's being collected and it will be used on the B2C side to retrain it maybe in a year and a half. So maybe every 18 months they retrain a model. Yeah. Isn't the free version, at least it was, the data was only current through 22? Yeah, exactly. Because it stopped back there, that's when the last time they had.

Now they have different ways to search the internet. So when you use the B2C, or the consumer versions of the product, anything you put in goes to a log file that not that day, but maybe in the future they will use to train the next version of the model here. On the B2B versions, like the ChatGBT Teams version that you talked about with Enterprise, there's contractual obligations that your data's not used for training. So you're using the power of it, but the data itself is still not used. Interesting, because we use Microsoft. And so Microsoft has, same thing, a public version,

a non-subscription version, maybe a private version. But we use the copilot for work, or at work version, which, again, my understanding is that that's not sharing that information. So we're learning from it, or drawing down from it, but it's not pushing sensitive information out. And it's really a point for any small business out there, you need to be aware of your supply chain

for all your IT vendors here. And what rights do HubSpot or Salesforce or Workday or NetSuite they're using, can they use your data for anything about approving their algorithms here? Most vendors are very responsible and not using it. But you do need to check, and one easy way to check is to take your contract from that vendor, put it in ChatGBT and say what kind of data protection

I have, and have the robots, the software, we call them robots, do the work and help you understand what the risks are. It's interesting, because I actually did that this morning reviewing a Non-compete agreement and it didn't have any reference in chat pull that out saying hey You may want to look at your sock to you know levels and who owns that data and just language And we do have cyber insurance and those are the types of questions that it wants to know it was fantastic

So what do you think are the biggest missed opportunities for small mid-sized business owners today? And what's the path to change that? I think let's first start the case for learning. The biggest missed opportunity right now is opportunity costs for not getting on the learning train. And part of it is intimidation, part of it is being overwhelmed with all the changes

here. But in terms of motivation for learn, there's been 15 studies that show anywhere between 10 and 40% productivity improvement on every knowledge worker things here. So what would it mean to you for your business to have every one of your knowledge workers 20% more, 20% more saving. Another day in every sales reps time. Another day in every account manager.

Another day of coding here. So that's the power we're talking about with today's technology with zero technology risks. I'm not talking about future and I'm talking about lab tech. I'm like today's technology. So that's the reason to start learning. The second reason learning here is we saw the internet show up and absolutely disrupt many, many industries here. Toys R Us, gone.

You know, classified ads, gone, right? The same thing is gonna happen here. And so you need, as a small business owner, to understand and assess what your risk profile is. If you're a lawyer, you are in the crucible and you are absolutely having headwinds in. Now if you do an HVAC work, where there's a physical aspect to the value you create,

you're gonna have piece of it, but your whole industry, your whole job, you might not have 30% revenue impact. To give you an example here, one of the industries that's very impacted is offshore or outsourcing software development. We have one company in Bangalore that last year they were already seeing a 10% revenue

decline. Because their US customer is saying, we know you're using AI. So if it cost 10,000 last year, it can't cost the same amount this year because we know you're using these productivity tools. It's funny, I've actually had clients forward me an email that they got from their CPA or professional whatnot and like they didn't even change the font. I could tell it was AI. It was not written by a lay person. Maybe that's getting better but maybe that leads to my next question is which one? I mean even at the opening I referenced ChatGPT, Claude, Grog, I mean, there's dozens and dozens of these.

So how do I know which AI I should be using for what type of role or service? It's a great question. We have a very strong recommendation here is that when you're learning, you want to go from basic learning to intermediate competency here. So pick one tool and start learning. And the tool we recommend is OpenAI, ChatGPT,

and for business ChatGPT for Teams, which is $30 a month, and you can buy it by the month, but it's highly secure, they don't use the data, it's enterprise class security, it's as secure as anything that Salesforce or HubSpot has. And that is a fantastic way to get to the sweet spot. And the sweet spot is using confidential business information and a use case that makes sense here.

So all of us sign too many contracts. All of us don't look for ways to send more lawyers here. Every single contract you have, you should put it in the team's version, which is secure, ask how to assess it, how can I make sense of it, and you'll save this year thousands of dollars right out of the box, and will more than pay for your $30 a month just in that use case alone.

It has in one review. In one review even. Yeah, right. It's unbelievable, the accuracy, and also, but let's talk about this, because I'll still get bad information too. I mean, I was using it last night and you know, asking about the limits for a, you know, a SEP IRA and it gave me the 2024 information. And I told it, I said, chat, that's the, your information's wrong. That's 2024. Please give me the current, you know, instantly apologizes,

but does it learn by that? No, no, it doesn't learn. The important thing there is to have the mindset of a thousand interns at your fingertips. So you have interns, a lawyer, everything else, and they quickly bring this stuff back. We still need to keep the subject matter expert in the loop. We still need to have that last final review. Don't be like that lawyer two years ago

who went there, asked for case law, didn't double check it, handed it in, and got fined $5,000 by the judge for making up a case here. So we still need to be suspect, but the reality is, 95% of the time it's pretty good, but always double check. So I'm going to ask you this next question in light of our conversation that you were just recently at a YEO event. I think that's a really interesting audience. So do you think a SMB, small mid-sized business, can outpace a larger firm in some areas

by embracing generative AI? Oh, hands down. I mean, what is different about this technology is twofold. One is that it's exponentially increasing. And second, which is unlike most technologies, you got SAP and SAP kind of stayed flat here. And the older traditional last 30 years technology, I could wait a little bit and be a pragmatic fast follower and just catch up. Because you went before me, but you didn't get any advantage here. This is completely different now. Here Here the early adopters are increasing their lead. Why? Because they're learning how to use this

and learning how to embrace it. They're using other cultural change which is really important here and when they do that you start seeing even more opportunities to drive value here. So that's why it's really important these early early days to start your personal and your organization's learning path. So when we first met, it was interesting. You had done enough research to know that I'm in the financial services wealth management space, and you had provided this fantastic white paper. It was probably 20 pages or whatnot.

So it's not necessarily only getting insights on my business, what I need to be doing differently, but you gave me intelligence on my competitors in the marketplace and the direction and things I need to be leaning into. So the meeting you were at with the YEO, Young Entrepreneurs Organization, now here's a pretty astute group, I think the qualifications, you got to be doing

a few million dollars to join the group. So pretty successful entrepreneurs. Tell our audience a little bit about, like are these guys all leading edge with AI or? And this was two weeks ago, the YPO of New England and- The YPO, right? YPO, young presidents. YPO, young presidents, yes, yes.

And Fortune spend a couple hours with 70 of the CEOs. And they are very representative of all the companies they deal with. One, high awareness. Two, overwhelmed. Three, not sure where to begin. And four, need very specific, practical next steps that I can do today, tomorrow to get me on my learning journey here.

And that's what we walk through. And the challenge is that, and one of the things we focus on is these really practical steps here. The world is full of hype the vendor hype is through there we live in the world of clickbait so all the stuff you're reading about in social media and LinkedIn is all clickbait generated here yeah but the reality is you need to start now because you can't ostrich you need to start learning and the reason you start learning is this is a contact sport you can't learn to ride a bike by watching YouTube.

You can't learn what China's like by just reading things. You need to go, you need to experience it, you need to get your hands on it. You need to have your team get your hands on it with your own confidential data to really start seeing the opportunities here. And that's not just limited to the service industry, you know, accountants, lawyers, financials, but even the trades because, you know, if I'm looking at a better way of building a house, or how do I, you know, minimize waste, or manage my people,

there's infinite ways you can use it, regardless of your industry. And talk about the trades, let's be real. So, chat GBT, 20 and 30 dollar version, you can have on your phone, you can go and take a picture of a spare part, and say what part is this? And 90% of time it'll come back. And it's fantastic in

language. So what part is this? And tell me in Portuguese. Tell me how to install it in Spanish here. So the trades are dealing with lots and lots of language and there's now this superpower that every one of your trades people have and a tool that they're already using today, which is their smartphone. Well, and I think the difference between a Google search and what you just described, Google's going to probably lose some market share because I think some of the searches aren't as intelligent or the responses aren't as intelligent. Even more than that, Google is our search engines. It's even more than that. I mean, Google are search engines.

They search and come back here. These large language models, or AI robots, that I call them, are answer engines. So we are moving to the answer engine. I want to know what this part is and how to install it. I'm not looking for a user's guide here. So we're moving from search engines to answer engines that are very very sophisticated and it's already impacting Google today. Just last week in

Wall Street Journal they reported the first time in 20 years, first time in 20 years Apple Safari's use of all their Safari on Apple phones has declined. Really? It's never declined. Being replaced by the chat app? Correct. Gartner, we call it the SEO bloodbath. Gartner predicts 25% of Google search is going away. In our research we have it 15%. But billions and billions of dollars are going away. Why? Because I get such a better experience as a answer engine participant than I do a search engine participant where the first 40 links are all these blue promotions things here because Google has really lost its way in terms of really adding value here and as monopolists they

haven't been challenged, they are now challenged. So the the large firms you know thousands of employees, big big budgets all the rest of it, at least in the past may have had the budget to hire a big consulting firm like a McKenzie or whatnot. How does this aid a small mid-sized business owner compared to what your experience has been, and what's the output that a McKenzie, you're paying maybe hundreds of thousands or a million dollar report for

versus what you and your team can produce? It's a really interesting, it's a great question. In the past, the scarcity used to be enough capital to buy the expensive technology. I needed a half a million, new million, five million dollars to buy it. That is not the case here. We are swimming in technology.

Even if we never had any more, the scarcity is adoption and change management. And that is a human thing here. And I think one way to think about it, think about the Ukraine war. Who would go to war now without drones and everything else in here? But you've seen the Ukraine army adopt that

in a much quicker fashion than a lumbering Russian thing here. So the way to get ahead of this is small teams that adopt quickly and understand technology. And it's absolutely not a cost issue. It's a mindset and a cultural issue. So tell me a little bit more about what GAI Insights does in that kind of consultative battle. Sure. Yeah. We help companies figure out how to make sense and drive value one and five quarters from here. What should I do today?

Not industry specific. Not industry specific here. We particularly focus on industries that are going through a lot of change on insurance. We call it wins, words, images, numbers and sounds. So if most of what the work you do today creates value with words, images, numbers and sounds, lawyers, professional services, financial advisor firms here, you have tremendous risk and tremendous opportunity. If you don't have a lot of that, maybe you're an excavating company here. Isn't that the Japanese definition of Kaizen? You know, where there's opportunity.

Opportunity on both sides, exactly. So we really help those companies do two things. One, figure out the urgency at the industry, company, and job level. Second is how do you get team to line to start doing action because there's too many use cases here. Most companies can identify 50, 100, 500 different use cases here. How do we decide which two or three? And then third is how do we pick the right tools to actually start making progress in a very, very pragmatic way. So how do you identify if a company is falling behind? You know, and

is that maybe you're the shot in the arm to, or the kick in the pants maybe? Well yeah, so we get asked a lot, how do we calibrate our GNI investment? Should we double it this year or not? You know, obviously one way to do that is a benchmark where you are with your competitors. You know, what use cases or case studies can you find that they have implemented on it. I think a more important one is understand for the most profitable customers, who's getting there fast with an AI offering. So if you both have customer service but this one's actually going with a more personalized

one, the ability to do personalization with these AI tools is amazing. Carvana, the company that you can buy a car online, they sent 1.3 million personalized videos to every one of their customers a year and a half ago. I think it cost $100,000. Before AI revolution, that would have been a $10 million project here. So we're moving into a world where every single website,

every single call center, every single prospect and customer is going gonna be wildly customized, not only for the customer, but also for emotional intent, for past history, for a whole bunch of other things here, and this is the whole new world we're getting into. So one thing you wanna watch is who in your competitors getting closest to those most profitable customers with more innovation around this experience.

Well, and you talked about maybe the starting or the building block, and I like the idea of maybe the public chat, you're playing around with it. When you want to get private, you're going to have to go to a Teams subscription model. Like we said before, it's a short investment.

But maybe once you've conquered that first step, how do you navigate all these other platforms? So like I know our marketing department they use Canva for you know art and more marketing communications type thing. Is there platforms or is it LLMs that are more specific to certain search purposes? Yeah there are other I mean and it give you a sense for I think the VC investment I think there's probably thirty thousand AI startups right now. So you name the sector There's an AI startup there and that's half the time well funded here in addition to that

You have general purpose tools like chat GPT, which is getting really good at a lot of these. It's really good at coding It's really good at law. It's really good at medical. It's really good at business analysis. So you have some startups, hey, we just do law, but they're also competing against these large models that have billions here. So we've got lots of different overlap. What we recommend the companies is first get your core platform, pick one, pick a major. We recommend a chat GPT, some co-pilot, if you're a work, Google Workspace, some people do that. Just pick one and work the organization to get compensating that here. And then on a case by case basis, department by department, look at specific needs and have them, that department, after they're proficient, make the case for another AI tool. Hey, we have these information needs in Canva, can chat, do it, that makes sense for that.

Sometimes in coding, people want to use cursorursor or other things here that are more advanced than the chat and make the exception. If you asked chat, is it going to tell you about its competitors? Oh yeah, it will, yeah, right. It'll tell you, we're not that great at this, but you can try Canva. It was interesting, I actually went to an industry

conference a few weeks back, and really the two themes, this was not a small conference, two, 3000 people, was AI, which for obvious reasons, because everyone's trying to lean in and understand it. And the other was experience, experiences, because what it's saying is, there's certain things humans can do that humans can't. And you can scale service,

you can scale data and intelligence, and you can do that a lot better with an AI, but maybe it's leaning into what can we do as a human that the computers aren't doing, maybe they will down the line, who knows, but what's your thoughts on? Well, I think a couple of, so I think first, I now believe this, I didn't believe this two years ago.

All the experts, AI experts, believe within two years, 95% of everything humans do cognitively, the AI robots can do better here. That's scary. Gene research, medical research, theoretical physics. So we are on the curve that's historically different in mankind. So this is not a moment in tech history.

This is a moment in mankind that we're facing here. So that's first and fourth. The second thing is we already have analogies that we know ourselves and we can understand how this is going. And one really good one of those is GPS maps. Some of us old enough, we didn't have maps. You had the paper maps. Then you had the initial map quest.

My kids laugh at me when I tell them I had a big you know Huge thing you had unfold and figure out where to go and you and those and when map quest came out sometimes They had wrong roads. So you always double checked it now. We no longer double even question our GPS. I Assert the exact same pattern is gonna be happening here and all cognitive work in the next two to three years here. And therefore what is going to be differentiated on a competitive standpoint is how does teams two to three eight people here work with robots on solving a customer problem here. That's where the power and competitive sustainable competitive differentiation is. How does a small team

in Ukraine work with the drone robots defeat an Army 15 the size the side here how to And they're noticed what I'm saying here. I'm instead of having 30 people insurance firm might have 20 and 150 robots It's kind of like the the chess master Kasparov when you know, it was man versus machine. Yes, you know Chess matches in the outcome was it's not one versus the other, it's they're better together. Correct, correct. Ethan Molek is a warden professor that we like a lot.

He uses the term co-intelligence, and I think it's really good. When you think of a tool, you think of a, my snowblower's a tool. That's a tool that's over in the garage, I use it when I want, I know way more than that tool. I take it out. I tell it what to do and I put it back here. And co-atelage is something that's next to me. That's is that I respect and that's why so many of us actually feel like or actually do say thank you

when it comes back and analyzes an 85 page contract for an M&A and saves me $30,000 in legal fees. It's funny, I don't know if maybe I was brought up properly to say please and thank you. I do that to chat, I don't know if it really cares. Well, this leads to another question and maybe this is where the division between what Elon Musk and Sam Altman were doing at the origins and I think the path that OpenAI is a non-profit,

but they want to be a for-profit. And I think some of this split, maybe you can clarify this for our audience, with Elon's concern about how do you put guardrails around this? Is AI just left unfettered, a good thing for the world? Or talk to me about that. Yeah, so I think, so no one knows the answer. There's kind of three major things. It's kind of AI optimist AI pessimists

They I kind of realist here. I think that for me the better it's clearly gonna have high upside and Clyde downside Let's be really clear downside is to be non-trivial here. We saw social media go through and transformed communications relationship also drove 10,000 suicides. So the downside of AI is going to be even bigger here. There's no trust butter coming here. So the bifurcation of high and low is going to be high. The more important thing, I think, is to understand that this stuff is really hard to contain. There's also open source AI.

There's 150,000 open source models that are almost as good as a chat GPT. The world was shocked in December when an open source model came out of China called DeepSeq that was nearly as good as open AI. It caused NASDAQ to tank 3% that day and they said here's all of our code, here's all of our training data here. So algorithmic innovation, which is what that was, is out there a lot here. So we're gonna have a whole world, and I think the biological world is much better here.

There's all kind of animals in the animal kingdom here. Some are dangerous, some are safe. There's safe spots in the kingdom, there's dangerous spots in the kingdom here. You have some animals that will protect you, some that will think, and I think that's one realistic way to understand this future rather than one big monolithic AI that's gonna be controlling us all.

So for a lot of our listeners are the small mid-sized business owners, and some large owners too. You said a good place to start is pick a platform. Master that. A lot of it's about the interaction and how you tease it out because I've used it to kind of play around with designing floor plans and I'll try to be very specific and say, no, no, the dimensions are this. I'm looking

to do that. And it comes back with this wacky responses. And I finally sometimes give up because it's like, all right, maybe I'm just asking the wrong question or maybe it's not meant to do that. So what would you say, I guess, for this journey, this path for the small business, mid-sized business owner, once they've kind of gotten, you know, it's on their phone, they're paying the 30 bucks so they can be secure about that LLM, like where do you go next? The number one thing a leader of a small business can do is after they pick a platform, is to be the personal advocate and leader themselves.

Constantly ask yourselves, are you using robots? Have we asked the robots here? We would all agree that if we hire someone to remodel our kitchen, we came home, and they're manually drilling holes. Like, what are you doing? Why aren't you using power tools? So, Gen.ai is power tools for knowledge work.

Oh, you draft that press release, did you use a power tool? You're analyzing that, have you used a power tool? Oh, you're not quite sure how to respond to this angry customer thing? Have you used a power tool here? So, model that and start changing behavior so you get your Gen.ai enthusiast to step forward here

and really start embracing it. So AI is not a parlor trick. AI is just as pervasive as Office 365. I'm kind of smiling inside because I'm the one here that kind of bangs people in the head. But what I love is when some of our team has that aha moment. It's like, Kent, you wouldn't believe,

I did this and the answer was beautiful. He's like, I couldn't have written it better myself and it actually, I'm like, exactly. So keep doing it, keep doing it, create that pattern. I told Brandon that I wanted to let him ask a couple of questions from behind the camera. So Brandon, if you're ready, why don't you fire up? I'm ready. I mean, I guess my questions are are gonna be kind of more towards like marketing Mm-hmm, because I think you know, I think with marketing like obviously if you're using AI

You don't want it to sound like AI kind of lose like that trust So would you recommend like, you know somebody to you know, if they're typing in chat cheap BT Okay, like I need five social media posts this week. Would you tell it to like, have it write those posts for your company? Or would you say like, give me like a framework? Cause obviously I think you want to kind of put like a human touch to it. So it's not like you're kind of killing the trust of your ideal customer. So what's kind of like your, uh, your take on that?

So there's a couple of different ways. Remember the box or the context or the window is huge. You can put a million pages in that. In fact, the more you put in that the better here. And particularly with a marketing company, one thing we recommend is take 30-40 pieces that already sound like you and say, create five blog posts that match the style below, put all 30 pages in here that does the following here. You can also do also put that in as a preset a couple different ways to do it. So that is, you give specific examples of your tone. That's one. The other thing you can do to even better,

instead of trying to figure out what the right prompt is, ask it to create a prompt. Create a prompt that uses 30 pages from my website that does the five things. You ask it, then it comes back with the prompt. Cut and paste that, put it in there there so you have AI helping the AI. I usually tell chat GPT to act as a prompt engineer and like literally like hey please make this prompts better I want to be able to utilize all of your you know use all of your functions the

right way so I'd recommend business owners do that but and then I think my last question is like, you know, it kind of talks about Google and kind of how, you know, I think more people, I don't know the exact numbers, but more people are searching like for our company, best financial advisors near me on chat, GPT rather than Google. So how would you recommend a small business owner to kind of be, you know, if someone were to type that in on chat, GPT, how would you be able to get seen? Well, I think the first and foremost to understand that product discovery and product evaluation

is profoundly change. And one easy way to do that is go to a website called chat hub dot gg, chat hub dot dg there you can put in one prompt and see the answers back from six answer engines here. So one that I like to use a lot is Pampers Diapers Sustainable. It's plastic diapers, guys. You know, you put it in, there's Grok's answer, there's Claude's, there's things here. I'd say, I'd like to put in, is Pampers Diapers

stable, give me yes or no answer, and defend your thing here. I no longer ever buy a product without first asking the six answer engines here. So I need a travel battery for my MacBook. Tell me the best model in five and I put it in there. Four out of six recommended some model that I write to Amazon. I bought that right there. So that is easy to understand and you could also do it for your own thing here. If I'm in Natick Massachusetts here, what's the best

financial advisor I should be talking to here and why? What's the best insurance company actually doing and why here? And you'll get a sense for it, what's the best financial advisor I should be talking to here and why? What's the best insurance company actually doing and why here? And you'll get a sense for it because what's happening is these answer engines are Sorting through the crap out there and really finding it. So they are intelligent Beings almost intelligent searches for you and that's very different than gaming the system with all those blue SEO links out there So tell me about the community that you're building because you recently did a TED talk I want you to share that with the audience And you're doing a lot of stuff in the Boston area specifically and you also have a pretty sizable following on a global basis

So talk to me about that. Yeah, we believe in this moment of time It's really important to bring community, people together talking about this. As just as today, we need to calibrate it here. So we're doing a whole host of things. One of the things we have an online community where we meet every Monday night at 7 o'clock is our learning lab. We have people calling from Germany, Australia, and we have a topic each week. You're welcome to that. 7 o'clock Eastern, 4 Pacific. Second is we have a daily AI show. Eastern, Ford, Pacific. Second is we have a daily AI show at 7.30 where we go and we talk through the top four or five news

items and debate them if they're essential, important, or optional, and that's interactive. Third, we have ad hoc networking groups. We're actually doing one here in Boston called AI Woodstock Boston. 285 people have signed up to go to that. And it's really networked. And it's interesting, what gets pulled together are the early adopters in all disciplines.

So we'll have software engineers and we'll have product managers and we'll have sales reps and we'll have small businesses and we'll have entrepreneurs and we'll have investors. People who want to understand this and calibrate, hey, what are you doing, what are you doing? Because nobody can keep up and no one understands all elements of the thing here. Now, why are you creating these communities? Is it just being able to? It's the fastest way to accelerate learning.

So you want to create communities industry-wide, and that's what we're doing here. And you also want to create communities inside your company. So you want your own learning lab inside your community. You want your own people calibrating here. You can't learn fast enough and you need to have, to get the end of, which is three or four enthusiasts

working on a business problem that is competitively differentiated. And that's where we wanna get to. You have to get there with a cross-functional team of humans working together with the robots. So tell me about the TED Talk opportunity. Yeah, TED Talk, it was unfortunate that I was asked to do a Ted Talk in Boston here,

and it's online, you can tech talk Boston, Paul Beier, and it's six things every CEO should do. And the very first one is do not ostrich. I know we're sitting here in Miami Beach, it's gorgeous, the weather says a hurricane's coming, come on. It's not really gonna happen. I'd really have to pull this up here. I know you don't want to ostrich.

I know you don't want all this change. I know you don't want to have to think through this. I know you don't want to think through all the shadow IT here. The reality is it's coming. And now we have to move from not ostrich to adaptation here. What we've been talking about today is how do we adapt? We adapt by trying in these very practical steps

We talked today. So the the three things you shared in terms of the The daily AI and the the groups where do people find that you can go to GI Insights calm and find information all those and are you on YouTube or on YouTube and LinkedIn? LinkedIn's our major profile. We can also go to YouTube and find this. Okay, all right, so before I let you go, I'm gonna give you the rapid fire round. So the idea, quick question, quick answer. You ready? Celtics I don't wanna talk about.

Yeah, well, we got miles to go before we sleep on that. All right, so will AI take everyone's job? Everyone's no, but most of them. Really? I want you to expand on that. New jobs are going to go, but many of the kind of work we do today is going to be replaced by AI, and then we're going to have to have new jobs created here. But we will have less lawyers 10 years from now than we do today, full stop.

So common excuse is small companies can't afford generative AI. Absolutely red herring. For $30 per user per month, you can have the most secure, most advanced tool here. Security and cost is absolutely red herring, and all these things we talked about today have less than a four-month payback. Less than a four-month payback, and the contract is an easy one. I can give you 15 other examples out there. Just as strong. How about the, these are the excuses, I guess, you need a technical co-founder to leverage AI. We've already talked about you do not, you need an inquisitive mindset, you need a trial learning mindset,

you need a tomorrow's gonna be different mindset. You don't need to be technical to do this. In fact, it's better not to be technical because then you are more open to answering different types of questions. Now this is a lay down because I know you said this is not just a trend, it's not going away. Will this blow over? Will it slow down? No, but it's not as urgent in all industries. So there's different industries that are

more urgent and less urgent. That's why it's so important to think through this wins, words, images, numbers, sounds. What percent of my cost base and value add of my company is that? Because if you have a high percentage of like lawyers and professional consultants here, you have high change. If you're low, like you're doing excavating work, you have more time to adapt and be thoughtful. Yeah, that's fantastic. Well, a huge thanks to Paul Beyer from GAI Insights

and some of the best generative AI research and tools out there. As Paul shared, you can find his work and subscribe to his newsletter. AI News Brief, is that the name? GAI Insights.com Okay, so that's where to find him. As always, you can always book a 15 minute discovery call

with any of our team to learn more how we can help your business and hopefully you're embracing AI, especially after this conversation. Thanks again, Paul. Thank you.