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Speaker 1: We believe there's more creativity than ever before. So I

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always look at the basics. You look at a company,

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you look at their fundamentals, you look at their growth,

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you look at the customers they have, and then you

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look at the need of the product that they have

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at market within the framework of the customer relationships that

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they have, and if those things are in pact, then

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you have a very stable business. Not because that business

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has artificial intelligence, but because that business is solving a

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commercial problem.

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Speaker 2: You're listening to Carrie Letz's Financial Survival Network, where you

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get valuable information you just can't find anywhere else to

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thrive in today's trying times. You need the Financial Survival

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Network now more than ever. Go to Financial Survivalnetwork dot

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com and get your free newsletter and gift. Financial Survival

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Network now more than.

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Speaker 3: Ever, and welcome. You are listening to and watching the

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Financial Survival Network host Carrie Luttz, Well, you're probably hearing

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in the news see CNBC. All of the financial news

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shows are all a buzz about AI, and it's getting

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to the point where there's probably too many AI is

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out there, too many companies chasing the AI rainbow. But

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the real money is in the cleanup. Gartner says that

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a genetic AI is already oversaturated meta plans to fully

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automate AD creation this coming year, Google is collapsing creative

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data and execution into one design layer. And the question

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now isn't who builds AI, it's who controls the layer

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that decides everything. And today we've got Jeremy Barnett, CEO,

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co founder of rad Intel here to break down the

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coming consolidation wave and the new AI power stack that's

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about to reorder the entire higher marketing industry, PR communications

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in general. Jeremy, great to have you on the show.

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So tell us here, when does the AI crash happen?

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Is it happening now? And does Nvidia have anything to

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worry about?

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Speaker 1: Well, I think there's a lot of there's a lot

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of chatter. I mean, Nvidia has the numbers to back

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up the valuation I think is for form. And if

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you think about artificial intelligence at its hull, we're seeing massive,

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massive adoption, which means our feeds are flooded with all

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of this stuff. Some of it's great, some of it's

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not so great. But if you think about it, humans

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are ultimately driving all of this adoption. So we think

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about this era that we're in is it's the era

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of human creativity, and the right human practitioners using AI

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technology can actually become significantly better at the thing that

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they're trying to accomplish. Now there's commercial reasons, like doing

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a better job creating content, there's also personal reasons like

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how do I deal with my fifteen year old son

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who's having issues with his performance coach for whatever sport

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he plays. So it's really interesting how us humans are

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deciding to use artificial intelligence. But everything always boils back

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to the basics, and it's been the same basics for

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considerable periods of time with respect to why companies are

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or are not successful. Traction sustainable growth revenue that isn't

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just sustainable, but having customers that want and need your

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product because they depend on your product. That's ultimately what

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rules the.

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Speaker 3: Day, right, So I think what got everyone confused is

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it's the AI has been around a long time, but

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now it's out there for the general public. Yeah, you

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hear about all these data centers being opened up and

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all the electricity required, and that tends to distract from

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the actual issue, which is the use case and how

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many ais, do you know need? It really is reminiscent

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of the AI of the dot com boom in the

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late nineties, and we all know where that wound up.

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We going to see a similar thing here. Well.

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Speaker 1: The use cases are very similar, but there's also fundamental differences.

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If you think about when cloud computing became the flavor

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of the week, llms are very similar. From an infrastructure perspective.

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You have all of this infrastructure that being built on

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top of these llms, but everything always boils down to

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the very fundamental basics of what is the commercial issue

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that you're trying to solve. If you're a company that's

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using artificial intelligence, whether you're adopting it internally to make

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your customers' lives better, or whether you're adopting it internally

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because you want to attract more customers. But at the

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end of the day, what is the thing that you're

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doing with the artificial intelligence? There has to be a

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commercial use case. Having the word AI in your business

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means app absolutely nothing unless there's some sort of value

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that the artificial intelligence is creating. In the context of

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my company, rad we leave the pen in the hand

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of the practitioner. In other words, people that use our

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product use our product to make them better at the

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job that they do. We believe there's more creativity than

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ever before. So I always look at the basics. You

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look at a company, you look at their fundamentals, you

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look at their growth, you look at the customers they have,

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and then you look at the need of the product

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that they have at market within the framework of the

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customer relationships that they have. And if those things are intact,

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then you have a very stable business. Not because that

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business has artificial intelligence, but because that business is solving

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a commercial problem.

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Speaker 3: Right, Okay, so AI for it. If I could just

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paraphrase you, AI for AI's sake isn't really where it's at.

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It's it's solutions based effectively.

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Speaker 1: Have that right, I would one hundred percent agree with you, Carrie,

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and I would even take it one step further. The

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real edge and artificial intelligence is how humans not just

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decide to adopt it, but how we decide to apply it.

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You put a really powerful set of AI tools in

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the hand of an unbelievably talented creative practitioner. Maybe he's

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a designer or maybe she's a director, but you put

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these tools their hands and they become even better at

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the thing that they do by a ten x multiple.

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Whereas if you put these same exact tools in the

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hands of somebody who's performing at a more we'll call

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it mediocre level, they're not all of a sudden going

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to become this really high performing human being. Right, AI

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doesn't make you bet. It's the creativity of the humans

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that are using the artificial intelligence that makes them better

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at the thing that they're doing. So I always say,

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garbage in, garbage out, excellence in even more excellence out.

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Speaker 3: I love that concept and I couldn't agree with you more. So,

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where do you think the biggest trend is heading for

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the next year, the next few years.

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Speaker 1: Well, we always think about these things. We're looking at

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this era of creativity as it's an opportunity to get

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even more authentic. So the idea of understanding authenticity at

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its core and the things that will mobilize your target

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customers to take action, or even the things that will

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motivate your teenager to do something because you know it's

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good for them. So, the idea of creating this environment

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where people are using technology in order to make not

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just their professional but personal lives better that's where we

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see everything going. So it's not just about a story

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anymore or a vision anymore. It's about practical traction and performance.

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Investors are shifting focus from looking at companies that have

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potential to now they're demanding companies have real traction at

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rad we look at basic fundamentals. You know, we have

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an infrastructure here built that we look at companies and

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we buy companies, and we buy companies. We don't look

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at do they have AI. We don't look at well,

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they could be this. We're looking at the core fundamentals

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of this business. Are they even a positive? Do they

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have great leadership? Will our artificial intelligence and technology solution

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take their business to the next level? In other words,

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will make material impacts to the p and L and

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balance sheet? And if we can answer all of these

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questions confidently, then we know this is a target we

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should look at.

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Speaker 3: Well.

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Speaker 1: The same thing holds true when you look at investing

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and looking at different areas where you're going to potentially

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lay some modest bets into, you have to just look

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at the core fundamentals. Leadership. You know, I have an

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investor who always tells me, I always bet on the

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jockey critical. Good leadership starts and ends with good leadership

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above and beyond that, does the business have basic fundamentals?

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In other words, not just this big vision and AI

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in their term, in their in their marketing materials, but

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are they actually solving a problem that their customers are

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willing to pay for? And this is true across all industries, healthcare, UH, medical,

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medical treatments, brick and mortar businesses. It always boiled, It

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always boils down to the basic brick and mortar rules

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associated with leadership, a product that people want to buy

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and positive ebita a company that's really moving towards something

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that investors can back for the long term.

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Speaker 3: All right, well, it makes a lot of sense. And

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obviously AI, for AI's sake, is not going to get

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you where you want to be. So question is how

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do you invest in this? How do you identify the

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emerging companies who are really going to go somewhere?

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Speaker 1: Well, you know, there's lots of different ways to look

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at it. I think, you know, we are in the

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information age. So one of the things AI has enabled

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us to do is we are able to be our

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own practitioners of what we do and what we don't do.

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So you know, if you're looking at alternative assets, there's

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certainly really simple ways to research leadership and look at

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their track record. That's the first thing I always do

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when we're looking at anything is I want to understand

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who the people are and what they've done and what

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successes they've had. Above and beyond that, you look at

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the basic fundamentals. And you know, in our case, rad

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is a reggae plus regulated company, so everything we do

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has to be filed with the SEC. So there's a

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deep amount of due diligence in our offering before we

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actually go to our investor community. So it's something that

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we're really proud of, and it also helps us separate

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from all of the noise that's out there. So there's

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two different types of investment classes. You have your public securities,

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then you have your alternative sets. Right public securities, it's

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public information and we've all seen these really great public

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companies fold at one point. So just because of companies

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doesn't necessarily mean they've answered all of the things that

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need to be answered. They still need to produce results.

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In private markets, you have to look at companies that

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actually have not just the fundamentals on or appearance of fundamentals.

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To be able to look at reports, you've got to

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be able to look at audited financials. You've got to

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be able to look at a track record in history

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before you decide to put your hard ended dollars into anything.

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So I would strongly urge any investor that's looking at anything.

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I mean, look, you're never going to be perfect with

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every decision you make, otherwise we'd all be multi multi millionaires.

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You can make some educated bets in different areas based

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off of track record, based off of history, and based

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off of reputable organizations given their stamp of approval. You know,

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an SEC regulated Reggae plus is a really good stamp

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of approval if you're looking at private investment, if you're

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looking at private investment classes, because you know you have

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to have due diligence and audited financials in order to

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list in that kind of way.

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Speaker 3: For sure, No, I totally get what you're saying. So

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obviously you've done a lot of deals over the year.

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Can you share with us the best deal you ever made?

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Speaker 1: Well, the best deal I ever made? Well, this is

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going to be well. I'm going to force my co

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founder to watch this, so you know you know, so

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what do we your well, what do you do in

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your startup figuring out product market fit at the beginning

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of COVID. In our case, we figured out a way

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to merge h We acquired another artificial intelligence company and

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they were having they were struggling with the product market fit.

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It just so happens that what we were really good

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at and what they were really good at was two

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negatives equal in a positive. There So the best move

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that wever made was acquiring a company by the name

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of Atomic Reach, which now the former CEO of that

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company is my co founder and president, and we've adopted

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that product to be the current product that we have

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in market, which is powering not just our internal growth

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and adoption, but our entire strategic biostrategy, which is acquiring

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new businesses. So in Rad's context, that was the best

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decision at the time, everybody that knew me was doing

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sanity checks with me, because you know, two early stage

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companies don't necessarily equal a positive. This isn't a typical

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math equation. Right now, looking back on it, by far

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and away the best decision that we made, and there's

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lots of different reasons why, but you know, a lot

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of times as a singular founder in a business, the

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ability to have another co founder in the business that

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can share in the burden of all the issues and

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challenges that you go through when you're growing your company.

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I can't put a dollar value on that, aside from

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that having the having the technology and the investment into

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technology that came with that company as a part of

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our overall offering. Stack today has really been a massive

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differentiation for us and has really been not only a

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differentiation but the reason why we've gotten such such good

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adoption with the with the brands that matter.

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Speaker 3: All right, I love it, and it's a very disciplined

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and focused approach towards AI, which I think is completely

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lacking in the market. Jeremy, where's the best place to

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find you? Connect with you on the web?

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Speaker 1: Well, you can connect with me on LinkedIn, Jeremy Barnett,

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CEO of rat Intel, Real easy. We also have a

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portal for our investor community. We have abound eleven thousand

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and investors today, ranging from Fidelity Ventures and Adobe to

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folks that work over at Google and Meta and Amazon.

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So you can go over to our investment page and

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find us and if you want to reach out to me.

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I make a point of being available to our entire

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community of supporters. Our community is really one of the

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main reasons why we've been able to do a lot

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of the things that we do at Market today, and

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we're really proud of that.

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Speaker 3: All right, excellent. Hey, you've got any questions for Jeremy

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or myself, shoot me an email kl at Carrie LUTs

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dot com. You can find our substack at Carrie LUTs

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dot com. Jeremy appreciate you coming on. We'll talk to

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you and.

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Speaker 1: Soon, Harry, take care of yourself. It was a player.

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Speaker 2: Thanks for listening to Carrie Letz's Financial Survival Network, your

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solution to today's trying times. For the latest, go to

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Financial Survivalnetwork dot com. Financial Survival Network now more than ever,