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Speaker 1: Welcome to another episode of the Chicks on the Right

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podcast where we talk to our friend and sponsor of

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our show, Zach Abraham from Bulwark Capital Management. Today, Zach,

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we are going to talk about AI because AI just

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got named Person of the Year my magazine, which I'm like,

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do you not know what a person is?

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Speaker 2: Hello?

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Speaker 1: This is the whole problem with AI. So anyway, open

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Ai was just named Company of the Year, and of

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course all the chatbot tools like chat, GPT, Gemini, GROC,

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all of these are becoming kind of part of our

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every day life, and so we wanted to find out

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from you if you're using AI to any extent in

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your financial services world and should you be, should other

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people be, or should we be afraid?

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Speaker 3: Yeah to be? Yeah.

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Speaker 4: First of all, to address the titling issue how we

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refer to AI, I think it's important to remember that

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these are the same people who was watching this interview

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this week weekend and a medical specialist was explaining to

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the audience how a trans woman's milk is just as

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beneficial for a baby as.

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Speaker 3: A woman's god.

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Speaker 4: So the fact that they're referring to AI as a

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person not even close to the craziest designation I've heard

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just in the last thirty six hours, So yeah, it

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doesn't really.

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Speaker 3: It didn't really surprise me too much.

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Speaker 4: I actually kind of saw the headline and thought, boy,

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that's kind of sober, you know, like compared to the

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stuff that I'm used to getting fed from these guys.

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Speaker 3: Right, So, first of all, I am using it, and

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i'm and I'm using it increasingly more.

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Speaker 4: It doesn't. I continue to think that the way forward

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with AI. I think AI is going to take over

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things slower than people think. I think that people are

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over extrapolating what it is that we have right now,

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and I think the reason that they're doing that is

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in large part because the benefit it is doing to

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the stocks of companies involved to these things.

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Speaker 3: So what I mean by that, it's a big thing.

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Speaker 4: But I think that we're an LM, A large language

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model is what we're using right now, and that's what

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we're referring to as AI. That is not dynamic artificial intelligence. Okay,

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it really isn't it. And it is limited by the

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data it has, and there are a lot of issues

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still remaining with it not being able to wait the

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places it pulls from data.

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Speaker 3: Right So, for instance, you're going.

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Speaker 4: To get like crazy off the wall wrong answers sometimes,

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and part of it's because it can't distinguish between, for instance,

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a parity Twitter account and a non parity Twitter account, right,

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And I think there's some that can start to identify

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those differences. But I'm using that as a you know,

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as a as an example. And so what I think

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is that I think humans are going to realize how

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much harder and how incomplete current technology is to get

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it to the point where it truly is.

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Speaker 3: Artificial intelligence, because.

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Speaker 4: This is a really exciting, really cool, really amazing first step.

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But basically what we've seen so far, and I'm probably

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oversimplifying it, but I think the easiest way to think

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of it is what we've seen so far as like

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an AI version of search, Right, You've seen like AI

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enabled search engines.

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Speaker 3: That's that's kind of what we've got right now. So

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getting to true.

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Speaker 4: You know, artificial intelligence, you're a long ways away from that, Yeah,

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I hear.

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Speaker 5: You, however, Yeah, but like with search though, like I

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use it a lot from metal stuff awesome, So that's

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I mean, I think that's honestly, that's the one thing

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I really do use it for because I don't really

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like it.

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Speaker 2: I get kind of wigged out by.

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Speaker 5: It, but I but I do use it a lot

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for medical stuff. And that makes me think, are there

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going to be doctors.

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Speaker 3: In ten years?

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Speaker 5: Because I really don't need some unless they're going to

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do surgery on me, which I don't know can romo.

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Speaker 1: Even robots can do that. Yeah.

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Speaker 2: The thing so I start thinking about the medical field.

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Speaker 5: Now, granted financial stuff, I don't know are they doing,

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like what are they doing for you guys?

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Speaker 2: Are they doing computations? Are they doing I mean.

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Speaker 4: So, so two really important things there. I think your

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point about the medical field is spot on. But look

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at what the average doctor has turned into. The average

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pediatrician is an LLM.

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Speaker 3: Right.

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Speaker 4: You tell them the symptoms, they look at their sheet

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and they go, I'm.

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Speaker 3: Giving you a prescription.

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Speaker 4: And I always feel like they talk in Ben Stein's

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voice from faris We're I give you right.

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Speaker 3: I don't know why, That's just what I hear at er,

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you know.

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Speaker 4: And so really, when you look at the average now

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I'm not talking heart surgeon, brains, I'm not talking surgeons,

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but when you look at family practice.

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Speaker 3: That's basically what they are. And they're not. They're not

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using imagination anyway.

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Speaker 4: You tell them the symptoms they're going down looking at this,

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we're supposed to give you that drug, right, So in

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that way, it's huge. In the financial side of it,

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here's here's some stuff that's really so. I have found

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it's preliminary research to be really good, meaning I'm not

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going to ask it to make but like if I

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want to break down of a company, and I want

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to look at whether this company. There's a company we

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are looking at recently, and depending on how companies book things,

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they can make themselves look much more expensive or much

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cheaper than they are in reality. And so I was

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sitting I didn't want to go through all these computations myself.

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I just I wanted to know if this company warranted

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me even looking at it, And so I asked AI, hey,

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is this as expensive as it looks? Or is there

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some hidden value on that income statement in that balance sheet?

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And then it did some preliminary filtering work and it

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was really good. It saved me a bunch of different steps.

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And then one of the other places, like on the

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research side of it, asking it to get me different

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research about this topic, explain this to me.

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Speaker 3: And there was one other place that I was.

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Speaker 4: Recently extraordinarily impressed because I was wondering how our as

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active managers.

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Speaker 3: I was wondering how our fun performance.

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Speaker 4: For the last five years matched up to other value managers,

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other macro managers, meaning guys managing funds according to macroeconomic

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trends and things of that nature.

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Speaker 3: And then I wanted to.

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Speaker 4: See how we added up to the universe a hedge funds.

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And it was awesome the breakdown it gave us. It

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asked me for more information. I was giving it all

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the portfolio stats and all this kind of stuff and

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showing where we ranked, and it was it was really

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really cool, and it was information that would have probably

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taken us.

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Speaker 3: Hours and hours to do ourselves.

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Speaker 4: Yeah, but you know the kind of work you're never

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going to do, right, I'm never going to spend hours

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of time trying to figure out how we stack up

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against hedge funds.

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Speaker 3: So some really cool stuff there.

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Speaker 4: Like I said, I think it's going to remove a

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lot of needs for junior analyst positions and stocks.

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Speaker 3: Awesome, how come like?

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Speaker 1: Because I always ask this and I don't think I've

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ever gotten an answer from anybody I've ever asked, But like,

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what's to stop some nefarious actors from USK from getting

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AI to like go raid our four one ks or

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our bank accounts or whatever. It seems like it would

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be so easy to do that because we're so online.

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All of our information is online.

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Speaker 2: So how does it not do that? How do people

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not use it that way?

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Speaker 4: So I'm not a big enough expert to answer that question,

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but to be honest with you, all be shocked if

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it's not happening already.

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Speaker 3: Oh yeah, it's not.

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Speaker 2: Okay, that's terrify.

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Speaker 4: But remember, so they're developing AI security. So a good

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buddy of mine actually, and I did an interview with

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him on our show. He is the head of AI

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security at Microsoft. So it's just kind of another it's

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kind of another arm of the web security game that

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was going on, which is, you know, can the developers

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of the security stay one step ahead of the guys

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that are trying to break into things?

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Speaker 3: Right? That's the game. And so I think it's.

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Speaker 1: A foreign actor who you know, China is not going

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to put those safeguards around their AI, you know.

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Speaker 4: What I mean, Well, they'll put them around their AI

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as it relates to their economy.

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Speaker 3: Right, I don't. I don't think.

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Speaker 4: I don't think the CCP is going to spend an

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inordinate amount of time making sure that their AI does

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not have nefarious intentions when it comes to us, right.

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Speaker 2: That is my point.

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Speaker 4: Yeah, so I think that what but what we've got

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to do is you got to attack it from the

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AI security side and kind of fight fire with fire, right,

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So that's what they're doing. But we had an experience.

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We had an experience this weekend where my son went

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to go buy something online that we gave him permission

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to buy, and he was going to use his card

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that green We do the green light thing with the

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kids and the thrown cards and put money on the cards.

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Speaker 3: Somebody happened to his green light account and taken his

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birthday money.

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Speaker 4: Oh my yeah, yes. And so I was sitting there

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going a green light card. You guys are I mean

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think about Wow? How crazy that is?

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Speaker 3: Wow? And and and a week.

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Speaker 4: Before that, somebody had hacked into my wife's uh via

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well into our bank account, but they only got us

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for like three hundred bucks. But they went through my wife's.

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Speaker 2: Credit more times than I can count.

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Speaker 4: Yeah, And I and I and I was watching that

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happen in the same week, and I was I was

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thinking to myself, you know what, this is probably a

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because one of the things about AI, right is you

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put it on a problem and you just let it

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go and let it spend.

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Speaker 3: It keeps working on it, working on it, working on it.

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Speaker 4: Well, I mean, I would assume that that's not different

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how I'm like, I am not some big hacker extraordinaire,

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So I'm talking a little bit out of school here,

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but I got to believe that that's not that different

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from how it would work trying to get it to

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hack into a network, right, just let it sit there

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and spend enough combinations and try enough things and eventually

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it gets in.

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Speaker 3: But it is a nightmare for security.

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Speaker 4: And there's a lot of things about this where, you know,

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for lack of a better term, like it really is

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Pandora's box in the sense that makes me want to take.

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Speaker 1: Out all of my money from all of my places

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and just put it under my mattress. Yeah.

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Speaker 3: Yeah.

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Speaker 4: Well, the one thing I'll say is that when you

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look at existing banking laws and stuff, right, Like, first

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of all, the banks have gotten pretty good at detecting

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a lot of this stuff.

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Speaker 3: And then also they're backing up, so I mean they can.

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Speaker 5: And also for all the jobs lost or all the

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jobs that we think they're going to be lost because

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of AI, there's a whole new market AI security and

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a whole new like a whole new job market, at

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least I would hope there would be, because I'm hearing

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that that's obviously going to be a huge problem. So

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I would hope maybe there's like a major in that

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in college kids just start majoring in because I feel

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like that's going to be a huge issue moving forward.

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Speaker 4: Well, and this gets to my next point about, Look,

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there's going to be a lot of jobs replaced with AI.

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If history is any indicator, it will happens more slowly

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than I think people are currently predicting.

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Speaker 3: A right and you know it, these things always do.

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Speaker 4: There's snags, There's gonna be There's going to be when

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you understand how this technology works. There's going to be

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fits and starts. It's not going to be as seamless

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as everybody thinks. In my opinion, I could be wrong.

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It just isn't that way. The other thing is is

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that there are there are almost always use cases that

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jump up. You know, if you look at historical examples

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of really disruptive technology. Now, granted, the one thing different

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about this is that this technology, when you think about

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what it's designed to do, it is designed to take

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the place of human beings.

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Speaker 3: So that is different.

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Speaker 4: But what I will tell the people is, rather than

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pushing back against it, the people who are going to

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make it and the jobs.

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Speaker 3: You're gonna have to use AI to your advantage. Right,

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you can't just be like I don't like it, I

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don't want to. You have to use it. It's like

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the Internet twenty five years ago, you know, and you.

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Speaker 4: Got to harness that power, and if you harness it correctly,

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it's unbelievably helpful.

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Speaker 1: Yeah, and there's you know, there's certain things. There's certain

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aspects about dealing with people in the service industry that

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will never Nobody wants that to go away. Like I

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would not want to have my financial planner be an

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AI bot. I would want it to be a person

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like you that I can just call and like maybe

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go to a webinar or like have a second opinion

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phone call with you to learn about my retirement.

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Speaker 4: There it is, Yeah, you could, yes, and you could also,

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I'm just gonna say this right now, you could also

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moonlight as an advisor for Bulwark Capital Management, because you

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already pitch it so effectively. I thought we were still

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I thought we were still talking about AI.

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Speaker 2: I know, right, She's still She's that good, Zach.

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Speaker 4: She's like the podcast version of Ron Pop Peel, remember

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all time, all this.

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Speaker 1: Stuff, the guy that the hair like, remember he sprayed

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his bunk.

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Speaker 4: Yeah, he had whatever you needed.

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Speaker 5: She actually, she's a transition ninja, is what she You

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don't even know what's coming.

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Speaker 2: She just and then she kicks you right in the face,

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and you're like, I hear.

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Speaker 3: We are the Dark Arts.

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Speaker 1: The Dark You still need to tell people how they

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can reach you.

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Speaker 3: Yeah, well, I mean I'd rather have you do it, but.

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Speaker 4: Always you can go to Bulwark Capitolmanagement dot com, get

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our video feeds on podcast of our daily dots. Search

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Know your Risk podcast dot com, Know your Risk podcast

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dot com, Know your Risk Podcast dot com, Boardcapitalmanagement dot com.

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Speaker 3: Not hard to find.

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Speaker 5: Yeah, thank you, Zach, the Dark mock Arts, thank.

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Speaker 4: You, Jack. Yeah, I'm telling you is salesperson extraordinary?

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Speaker 2: Right, It's insane.

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Speaker 3: Investment advisory services offered through TREK Financial loc and SEC

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Registered Investment Advisor.

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Speaker 4: The opinions expressed in this programer for general informational purposes

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only and are not intended to provide specific advice or

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recommendations for any individual or on any specific security. Any

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references to performance of security so it thought to be

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materially accurate and actual performance may different.

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Speaker 3: Investments involved risk and are not guaranteed. Past performance doesn't

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guarantee future results. TREK twenty four three zero eight