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Speaker 1: Hello, my name is Satasha Nabananga Bamblet. I'm a proud

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Speaker 1: or the Order Kerni Whaltbury and a waddery woman. And

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Speaker 1: before we get started on She's on the Money podcast,

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Speaker 1: I would like to acknowledge the traditional custodians of the

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Speaker 1: land of which this podcast is recorded on a wondery country,

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Speaker 1: acknowledging the elders, the ancestors and the next generation coming

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Speaker 1: through as this podcast is about connecting, empowering, knowledge sharing

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Speaker 1: and the storytelling of you to make a difference for

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Speaker 1: today and lasting impact for tomorrow.

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Speaker 2: Let's get into it.

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Speaker 3: She's on the Money, She's on the Money.

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Speaker 4: Hello, and welcome to She's on the Money, the podcast

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Speaker 4: that knows. Investing in innovation sounds hot, but losing all

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Speaker 4: your money on hype is not.

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Speaker 2: Are you getting fomo? An it was your delivery? Do

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Speaker 2: you like it was? Like you were questioning whether you

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Speaker 2: should say it or not. You're like, it is hot.

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Speaker 4: It is not true because my whole life I've learned

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Speaker 4: that hype is exciting and fun. But I'm now learning, wow,

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Speaker 4: it's not hot. Are you getting fomo and feeling like

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Speaker 4: you should be investing in AI? Even if you're not

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Speaker 4: one hundred percent short it actually does. Or are you

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Speaker 4: wondering whether this is the next big opportunity or just

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Speaker 4: another tech bubble waiting to burst.

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Speaker 2: Well, you're in luck because we're diving deep into the world.

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Speaker 4: Of tech stocks and AI and what's real, what's risky,

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Speaker 4: and what you need to know before you drop your

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Speaker 4: savings into the next shiny thing. I'm excited your co

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Speaker 4: host here to ask, wait, what does that mean? So

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Speaker 4: you don't have to. I'm joined by the woman who

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Speaker 4: actually knows what she's talking about, Victoria Divine. Hi, Victoria, Hello, Beck.

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Speaker 4: I am as always budding into your intros. I do apologize,

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Speaker 4: but I am there very excited to talk about this.

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Speaker 4: I really wanted to do this episode because I get

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Speaker 4: so many dms from people being like should I be

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Speaker 4: investing in AI? And like, most of the time, I

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Speaker 4: don't mean to be rude. Do you even know what

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Speaker 4: AI is? Like obviously artificial intelligence, but like how does

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Speaker 4: it work? What does that mean? And if you were

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Speaker 4: going to invest into it, do you know what stocks?

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Speaker 4: Or have you just been watching TikTok's right? Like I

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Speaker 4: swear most of people's I guess investing knowledge comes from TikTok,

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Speaker 4: and that is so fine because same clean like.

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Speaker 2: TikTok rules my life.

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Speaker 4: But I think something that social media is really good

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Speaker 4: at is making us feel like we're missing out on something. Yeah,

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Speaker 4: oh yeah, how many times have you seen like one video?

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Speaker 4: You watched it like full, and then you just keep

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Speaker 4: getting served the same stuff, so you keep thinking, oh

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Speaker 4: my god, this is like the next big thing, But

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Speaker 4: it's actually just your algorithm picking up on what you

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Speaker 4: were interested in and serving you more of. It doesn't

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Speaker 4: necessarily mean it is a good thing, right.

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Speaker 2: Not necessarily No, Yeah, that's see what you're saying.

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Speaker 4: So let's start at the beginning of what actually makes

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Speaker 4: a company tech share because right now it feels like

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Speaker 4: every company is throwing around the word AI. So I

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Speaker 4: guess if we strip it all the way back, a

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Speaker 4: tech share or a tech company is a share in

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Speaker 4: a company whose core business is technology. So that could

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Speaker 4: be literally so many things. It could be software, it

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Speaker 4: could be hardware, it could be artificial intelligence, it could be.

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Speaker 2: Cloud computing or robotics.

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Speaker 4: And you guys probably have heard a lot of the

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Speaker 4: names before, but we've got things like Apple and Microsoft

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Speaker 4: and Navidia and Amazon and Meta that's Facebook, Beck and Alphabet,

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Speaker 4: that's Google, and Tesla. So we already know that these

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Speaker 4: things exist. You've heard of them. And sometimes I've just

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Speaker 4: listed off seven different companies Beck. Sometimes they're actually grouped together.

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Speaker 4: They specific seven, and they're called the Magnificent Seven because

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Speaker 4: of how much they actually dominate the US market, which

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Speaker 4: is kind of interesting when.

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Speaker 2: You start to get into it.

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Speaker 4: They actually make up so these seven shares make up

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Speaker 4: thirty five percent of the entire SMP five hundred. So

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Speaker 4: the SMP five hundred is a list of the top

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Speaker 4: five hundred companies in America, and they make up thirty

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Speaker 4: five percent of that, which I think is absolutely wild.

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Speaker 4: And since the start of twenty twenty three, they've actually

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Speaker 4: driven more than seventy percent of the entire market's returns.

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Speaker 4: So that's a lot of marketwight sitting on literally seven companies,

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Speaker 4: which is probably why people are genuinely so interested in

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Speaker 4: going should I be investing in this? Because like that

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Speaker 4: seems pretty dramatic, Like if you're telling me these seven

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Speaker 4: companies are driving seventy percent of the index's returns and

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Speaker 4: then also make up thirty five percent of the entire

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Speaker 4: SMP five hundred. Like, okay, right in twenty twenty five,

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Speaker 4: should we be doing that or if things taken a turn?

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Speaker 4: Let's see, I wonder if there's an ETF that just

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Speaker 4: is comprised of those seven companies. Yes, it's called the

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Speaker 4: SMP five hundred. No, just those seven, just those seven. Yeah,

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Speaker 4: it definitely is there.

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Speaker 2: Definitely is.

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Speaker 4: I thought you meant like of all of those and

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Speaker 4: I was like, babe, yes, that's why it's called the

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Speaker 4: SMP five hundred.

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Speaker 2: It's actually very clear. I didn't steal what you say,

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Speaker 2: but no, I'm just kidding.

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Speaker 4: So what's actually changed is just like the hype dying

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Speaker 4: down or something more. Okay, So in twenty twenty three

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Speaker 4: and twenty twenty four, I think everyone started getting really

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Speaker 4: excited about AI. It started to become something that you

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Speaker 4: were discussing at home as opposed to just Tesla. Like

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Speaker 4: remember when we were talking I don't know, maybe like

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Speaker 4: between twenty twenty and twenty twenty two about the self

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Speaker 4: driving car. Yeah, right, So it was all aspirational. It

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Speaker 4: was all stuff that you know, Elon Musk was doing.

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Speaker 4: It wasn't stuff that you could do a homeback like

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Speaker 4: you would just be like, that's so interesting. AI is

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Speaker 4: going to change the world. And then after chat gpt launched,

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Speaker 4: beck you could do it at home, like we've got

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Speaker 4: AI at homeback, And so what that meant was you

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Speaker 4: could start to see how impactful this was. Whether you

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Speaker 4: were using chat gpt to just answer a few questions

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Speaker 4: about maths or explain the share market to me, or

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Speaker 4: make this letter seem more professional. People started to really

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Speaker 4: believe in what AI could do, and they could literally

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Speaker 4: feel it.

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Speaker 2: They could see it.

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Speaker 4: They could see how this change was going to impact

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Speaker 4: the market or impact even their daily jobs.

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Speaker 2: Like people started.

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Speaker 4: Being like, oh am I going to be replaced because like,

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Speaker 4: you know, you could say to chat gpt, hey could

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Speaker 4: you write a really nice email, and like it could right.

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Speaker 4: So stocks like Navidia and Meta and Microsoft absolutely surged,

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Speaker 4: not because of their current earnings, but because people started

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Speaker 4: seeing that. People started going, oh AI is pretty cool,

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Speaker 4: and those companies are using AI pretty predominantly, like we've

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Speaker 4: spoken about recently, obviously chat gpt, but like Microsoft now

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Speaker 4: has co pilot and such. But investors are now asking

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Speaker 4: where's the revenue, where's the return? So all of this

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Speaker 4: urged because we were excited. But that's market sentiment, right, like,

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Speaker 4: oh my god.

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Speaker 2: I want that.

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Speaker 4: And if lots of people start buying one particular type

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Speaker 4: of asset, the market goes, oh, let's increase the price

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Speaker 4: because it's quite popular. But there's no increased earnings yet.

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Speaker 4: It's all just like hopes and dreams. I see, and

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Speaker 4: hopes and dreams don't pay the bills back. So people

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Speaker 4: start asking questions when the bills aren't getting paid really

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Speaker 4: quickly and going, hold on, where's the money in all

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Speaker 4: of this? And so now there was a report that

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Speaker 4: came out recently from the Bank of America and I

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Speaker 4: actually said, we expect AI to be transforming from a

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Speaker 4: tell me to a show me story, with any disconnect

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Speaker 4: between investments and revenue generation to come under intense scrutiny,

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Speaker 4: which I think is definitely happening. So now companies can't

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Speaker 4: just talk about innovation. They actually have to back it

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Speaker 4: up with results. Like Okay, before you could just launch CHATJPT.

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Speaker 2: You'd be like, Wow, that's really cool. We've seen it.

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Speaker 4: Now, so if you want to launch something similar, I'm

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Speaker 4: going to need to see some revenue. I'm going to

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Speaker 4: need to see some results Otherwise, that's.

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Speaker 2: Not that interesting. Like, don't get me wrong, it's very

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Speaker 2: very interesting. I'm not being rude.

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Speaker 4: I'm just talking from a investment mindset, right, So I

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Speaker 4: think there's just a lot up in the air because

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Speaker 4: people are now like, Okay, cool, so I invested in

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Speaker 4: this thing where am I returns chop shop?

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Speaker 2: M you mean the same, right? Yeah, totally, totally.

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Speaker 4: It kind of feels like there are lots of ups

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Speaker 4: and downs in the tech and AI sector. Oh absolutely.

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Speaker 4: I feel like it's like a little roller coaster. And

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Speaker 4: the tech sector obviously is incredibly powerful. We know that

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Speaker 4: that magic seven carry seventy percent of the returns, which.

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Speaker 2: Is very interesting. But one of the reasons.

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Speaker 4: Is because tech moves so quickly, and that's what makes

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Speaker 4: it really exciting but also really volatile. And volatility. The

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Speaker 4: word volatility, it literally just means the ups and downs.

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Speaker 4: So anytime someone says volatility, think of a roller coaster,

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Speaker 4: because it just is how much the share price of

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Speaker 4: something increases and then decreases, and then increases and then decreases.

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Speaker 4: And the more exciting that asset, the bigger and the

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Speaker 4: bougier the roller coaster. Right, So, like if you go

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Speaker 4: to the like to my friends, I've explained it like Disneyland, right, So,

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Speaker 4: like you go to Disneyland and that's the share market

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Speaker 4: and we go to the like kids section and you

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Speaker 4: get on the Teacups. Yes, and like that's kind of fun,

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Speaker 4: very expected, Like is something on the Teacup ride going

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Speaker 4: to happen that you weren't anticipating?

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Speaker 2: Probably not. It's going to have been around, going to

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Speaker 2: do the job.

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Speaker 4: Everyone's welcome, you can put your grammar on it, you

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Speaker 4: could put your three year old on it. Everyone's happy,

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Speaker 4: everyone's good. Then we're going to go to the other

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Speaker 4: side and we go into the wild West. Beck Okay,

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Speaker 4: going to the Wild West. Still in Disneyland, still is

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Speaker 4: share but we don't actually know what happens once you

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Speaker 4: get on that roller coaster because it's behind the thing.

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Speaker 4: You know, when you like see the Wild West ride

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Speaker 4: and all you see is the people coming out of

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Speaker 4: the top of the mountain and straight down into the water.

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Speaker 2: Yeah yeah, yeah, yeah, but you can't.

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Speaker 4: See how many ups and downs are before that. But

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Speaker 4: that's way more exciting. Yeah, that's very true. The more

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Speaker 4: exciting an asset, the more excited you are about seeing

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Speaker 4: something or going on the ride, the more ups and

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Speaker 4: downs you've got to anticipate.

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Speaker 2: The teacup is maybe like cash. Yeah, teacup might be cash.

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Speaker 4: It might be a little bit of a bond. Like

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Speaker 4: it's keeping as comfy. It's very predictable. I love Disneyland.

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Speaker 4: I love a Wild West ride. You know, I went

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Speaker 4: on the Giant Drop at Movie World when it was

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Speaker 4: a thing.

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Speaker 2: Is the Giant Drop still a thing? I don't know.

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Speaker 4: But I hate those ones. But I know exactly what

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Speaker 4: which one you're talking about. But you've got to expect

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Speaker 4: a lot of up and down in a lot of volatility.

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Speaker 4: So when we think volatility, we're thinking roller coasters.

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Speaker 2: And if you want it to be an exciting.

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Speaker 4: Roller coaster or an exciting asset class, it has to

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Speaker 4: go up and down and you've got to be prepared

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Speaker 4: for that. Yeah.

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Speaker 2: Right, so we're getting prepared.

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Speaker 4: But I actually spoke back to a money direst who

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Speaker 4: worked in tech only God, it was so interesting, literally

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Speaker 4: the amount of money people are making in tech.

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Speaker 2: Click.

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Speaker 4: If you've been thinking, maybe I need to change my job,

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Speaker 4: you probably should just go into tech. And while she

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Speaker 4: had a really great salary, like literally Beck, she had

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Speaker 4: like a salary of like three hundred thousand dollars plus

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Speaker 4: she was being issued shares and she was making about

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Speaker 4: half a million.

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Speaker 2: Dollars is ish a year. Oh my god, that's insane.

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Speaker 4: Ride. And she literally just worked her way up, like

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Speaker 4: she didn't have some fancy degree, Like she didn't do

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Speaker 4: a degree, but it wasn't the reason for her success anyway.

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Speaker 4: You can go listen to that money diary. Half her

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Speaker 4: team will literally laid off within.

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Speaker 2: The first few months of her starting. Oh, like that's scary. Yeah.

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Speaker 4: Like, So not only are the asset classes scary for

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Speaker 4: people purchasing them, but for the people working in them.

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Speaker 4: There's also a lot of volatility, and the same like

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Speaker 4: literally goes for stocks. You can like have a great

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Speaker 4: run and then you can lose a chunk of your

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Speaker 4: value in a couple of weeks. So I think, yeah,

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Speaker 4: let's think about Disneyland and the different types of rides

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Speaker 4: they have, And if you want to be in tech,

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Speaker 4: you've just got to be accepting that the rollercos is.

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Speaker 2: A little bit more wild. You might have a bit

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Speaker 2: more fun, though that is the risky take. So if

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Speaker 2: we want to.

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Speaker 4: Talk about I feel like Navidia I did a whole

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Speaker 4: podcast on this. But Navidia is a good example and

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Speaker 4: one that we've spoken about in the past. This company

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Speaker 4: has been I guess, the poster child for the AI boom,

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Speaker 4: Like everyone is talking about it, everyone being me and

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Speaker 4: everyone in the investing space. Maybe you haven't been talking

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Speaker 4: about it at your dinner table, but it was of

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Speaker 4: hot topic I guess in twenty twenty three, twenty twenty four.

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Speaker 2: And the reason they.

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Speaker 4: Have been I guess so popular is because they make

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Speaker 4: like little computer chips, and those computer chips are basically

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Speaker 4: the brains of all of the AI models, so like

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Speaker 4: chat GPT needs these chips to function, So obviously, with

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Speaker 4: the rise of people using chat GPT, the video is

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Speaker 4: going to increase in price. And even big tech company

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Speaker 4: is like open Ai and Microsoft and Meta, they were

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Speaker 4: buying Navidia's GPUs by the truckload to essentially power their

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Speaker 4: data centers. So that tells me that if all of

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Speaker 4: those remember the Big Seven, obviously Navidia is one of them,

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Speaker 4: but if the other companies in the Big seven are

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Speaker 4: purchasing from Navidio, you go, oh, someone's been cooking here,

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Speaker 4: Like what's going on? So naturally, Navidia's share price then

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Speaker 4: started to go through the roof, up over two hundred

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Speaker 4: percent at one point. Beck based mostly on what people

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Speaker 4: believed AI could become, not proof, just like they started

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Speaker 4: seeing the big dogs getting on the big rides and going, well,

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Speaker 4: if they're comfy, I want to be on the big ride.

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Speaker 2: But it was all just belief because you were seeing

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Speaker 2: people walk the walk.

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Speaker 4: But we hadn't heard much about revenue, we hadn't seen

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Speaker 4: a lot of income yet.

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Speaker 2: It was all just this is the next big thing, Beck.

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Speaker 4: But someone comes knocking and says, hey, are you paying

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Speaker 4: your bills? And you go, well, I haven't been paid

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Speaker 4: babies as sets yet, so you're going to start asking questions.

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Speaker 4: But obviously I'm on a little bit of a rant,

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Speaker 4: and I do apologize and you can ask the questions

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Speaker 4: in a hot second, but it does get a little

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Speaker 4: bit messy. So this like cossip podcast. Now are you ready?

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Speaker 4: So there's a Chinese company called deep Seek. You might

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Speaker 4: have heard about it, and it came out of literally nowhere,

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Speaker 4: and it launched a competitive AI model that used way

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Speaker 4: less GPU. So these chips, the power chips, it used

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Speaker 4: a lot less GPU power, meaning they needed less of

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Speaker 4: the chips, so everyone was like, oh, what is deep Seek?

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Speaker 4: How does that work? And that got investors really spooked.

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Speaker 4: So people started being like, oh my god, like I

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Speaker 4: just invested in this other AI thing. But now Deep

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Speaker 4: Seeks come out, and I feel like we all know

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Speaker 4: that the Chinese people are really, really smart, so when

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Speaker 4: something comes out of China, you go okay, like their

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Speaker 4: tech sector is really impressive. And suddenly people were asking

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Speaker 4: all these questions like have we just been over investing

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Speaker 4: in something that might actually not be necessary, like because

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Speaker 4: Deep Seeks come out and said, hey, our take use

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Speaker 4: this way less of these cheer and now we're all like, wait, wait, wait,

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Speaker 4: did we jump the.

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Speaker 2: Gun a little bit?

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Speaker 4: But now we are seeing the impacts and America has

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Speaker 4: a lot to do with this, but we're now seeing

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Speaker 4: the impacts of Trump's trade war. So he's the drama

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Speaker 4: like he is being drama and I don't appreciate it.

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Speaker 4: I don't think many people appreciate it. But on top

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Speaker 4: of his ridiculous tariffs at the time of recording, America

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Speaker 4: has also put export restrictions on high end chips going

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Speaker 4: to Chinah and then China were like absolutely not and

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Speaker 4: then they fired back by blocking exports of critical minerals

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Speaker 4: that are needed to make those chips. So like, good

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Speaker 4: luck making the chips if you can't get the minerals to.

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Speaker 2: Make them grow. Yeah, that's what I mean. Like it's

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Speaker 2: a bit of a gossip podcast, and do you know

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Speaker 2: what that meant?

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Speaker 4: So the result of that is that analysts believe I

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Speaker 4: do too after reading their work, but like they did it,

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Speaker 4: not me, but analysts believe Navidia is now sitting on

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Speaker 4: five point five get this, five point five billion dollars

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Speaker 4: worth of advanced chips it built for China, but they

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Speaker 4: can't sell without US government approval. Oh so they can't

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Speaker 4: sell GI Yeah, and.

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Speaker 2: The government's like absolutely not.

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Speaker 4: That's not leaving because we are the drama and we

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Speaker 4: are starting all of this shit anyway, that's obviously quite stressful.

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Speaker 4: But because this is going around and like Navidia hasn't

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Speaker 4: confirmed to this because it's like, you know, I'm not

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Speaker 4: going to confirm whether you cheated or not, Like it's

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Speaker 4: not going to happen. These are just analysts who are like, okay,

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Speaker 4: like we know what their production looks like, we're going

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Speaker 4: to guess how much they have in their stocks, so

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Speaker 4: five point five is the guest. But because that's being

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Speaker 4: discussed in the market, their stock has now fallen around

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Speaker 4: eighteen percent, so people are like, oh, that's true, that's stressful.

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Speaker 4: Like if Navidio is holding all of these chips and

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Speaker 4: can't sell them, like, that's not good, which means their

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Speaker 4: income is going to go down, And some of that

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Speaker 4: hype around how good Navidia is it started fade. People

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Speaker 4: just don't care as much anymore because they're like, h like,

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Speaker 4: Navidio can't even sell their chips, right, Like why would

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Speaker 4: you continue to invest in them? And investors are really

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Speaker 4: starting to ask, well, is this a short term bump

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Speaker 4: or should we be rethinking this whole thing long term?

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Speaker 4: Like should we be looking for other companies to invest

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Speaker 4: in because we like the idea of AI but like

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Speaker 4: there's a lot of political drama around this particular one,

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Speaker 4: so people are.

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Speaker 2: Investing less into Navidia. Does that make sense? It does

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Speaker 2: make sense. It's a lot to take in. Yeah, I

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Speaker 2: feel like that's why I'm like, it's a gossip podcast.

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Speaker 4: You need to understand all of the amsing cuts, and

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Speaker 4: I've got to give you the whole backstory absolutely, So

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Speaker 4: does this mean that Navidia is bad?

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Speaker 2: Now?

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Speaker 4: Not necessarily, But it depends on your investment style. And

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Speaker 4: I hate this question when people are like, oh my god,

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Speaker 4: should I buy this? And it's like, well, I can't

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Speaker 4: give you personalized advice. If I could, I would, but

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Speaker 4: I can't, so I won't. It depends on your investment style,

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Speaker 4: the time horizon that you have, so like how long

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Speaker 4: you're planning on investing for. And your tolerance for risk

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Speaker 4: goes back to Disneyland and like, I can't remember all

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Speaker 4: of the rides that are there, but you get my

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Speaker 4: vibe when I'm like, oh, would you go on the teacup?

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Speaker 2: Beck?

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Speaker 4: Right, I would happily go on go on the tea cup?

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Speaker 4: Would you go on the Giant Drop?

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Speaker 2: I don't think. Yeah.

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Speaker 4: So that's what risk is, right, So that's your tolerance

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Speaker 4: to risk. But it's in the share market. So you

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Speaker 4: might look at different shares and go, okay, well a

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Speaker 4: blue chip stock, I'm gonna buy that, no worries. But

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Speaker 4: now with all this additional information about Nvidia, would you

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Speaker 4: purchase that? So the question is not whether you should

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Speaker 4: or shouldn't. It's more around your personal situation and whether

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Speaker 4: you would be comfortable with it? Because remember how he

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Speaker 4: said I love the giant drop. Yeah, So like we're there,

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Speaker 4: the line is short. I go, Beck, do you want

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Speaker 4: to go on it with me? You go, no, absolutely not.

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Speaker 4: I'll wait here, I'll take a picture of you on it,

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Speaker 4: and I go on the ride. So can I tell

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Speaker 4: you whether you should go on the ride or not?

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Speaker 4: Because I like the ride?

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Speaker 2: You go, but I.

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Speaker 4: Don't like the ride V So that's what happens when

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Speaker 4: people ask me, Hey, should I invest in this?

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Speaker 2: How do I answer that?

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Speaker 1: I don't know?

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Speaker 2: If you like rides? Do you know what I mean?

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Speaker 1: Right?

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Speaker 3: Right?

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Speaker 1: Right?

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Speaker 4: You need to work out your own tolerance to risk.

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Speaker 4: And once you do, and you can because I've done

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Speaker 4: episodes on risk tolerance and your investment risk profile, and

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Speaker 4: you can also google free investment risk profile and do

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Speaker 4: one online to work out what you would be able

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Speaker 4: to tolerate. Once you do that, you would get an

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Speaker 4: idea of whether you would want to invest. But I

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Speaker 4: think when it comes to Navidia specifically, they're a massive player.

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Speaker 4: Like in the AI space, they are going to be

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Speaker 4: a massive player, and they don't think with how much

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Speaker 4: market saturation they have they're going anywhere quickly. Their chips

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Speaker 4: are basically in every single major model out there at

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Speaker 4: the moment. Could that change maybe, but it would take

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Speaker 4: a long time and a lot of different companies making

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Speaker 4: a lot of big changes.

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Speaker 2: To change that.

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Speaker 4: They've got scale, they have dominance, and essentially I don't

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Speaker 4: think they're going anywhere anytime. But they are also under

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Speaker 4: so much pressure. Beck Can you imagine all of this

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Speaker 4: gossip coming out about you.

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Speaker 2: I know, if you're Sam, you would be.

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Speaker 4: Feeling the pressure, and essentially politically, economically and from competitors.

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Speaker 2: They are feeling that heat.

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Speaker 4: So if you are investing for the long term and

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Speaker 4: you believe that you want AI to be in your

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Speaker 4: investing portfolio because you believe in the future of AI infrastructure,

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Speaker 4: then this could definitely be an opportunity for you to

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Speaker 4: purchase some shares because they're down eighteen percent, And when

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Speaker 4: we see the share market down by eighteen percent, sometimes

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Speaker 4: we could be.

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Speaker 2: Like, oh, it's on sale. Yes, I love a little discount.

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Speaker 4: Like don't get me wrong, if you're going to go

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Speaker 4: to Disneyland, BIC, are you googling discount code on your tickets? Yeah, exactly,

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Speaker 4: And that's what a drop in the share market means.

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Speaker 4: So it's less I guess about the question of is

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Speaker 4: Navidia a bad guy, and more about whether it fits

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Speaker 4: your goals and your investing aspirations and your timeline, and

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Speaker 4: then how comfortable you are writing out that volatility. And

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Speaker 4: there are just some people who don't want to go

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Speaker 4: on the giant drop fair enough exactly, even if it's

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Speaker 4: something that could be perceived as like a bad purchase

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Speaker 4: or something.

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Speaker 2: It's like, there's no way of telling what the future

437
00:21:07,840 --> 00:21:08,359
Speaker 2: looks like.

438
00:21:08,480 --> 00:21:11,240
Speaker 4: So I know it's funny because like, as you know,

439
00:21:11,320 --> 00:21:14,120
Speaker 4: I get in the comments section on our videos on

440
00:21:14,240 --> 00:21:16,840
Speaker 4: TikTok and on Instagram, and I'm always replying to people,

441
00:21:16,840 --> 00:21:18,919
Speaker 4: and someone was like, well, I bought this and my

442
00:21:19,040 --> 00:21:21,440
Speaker 4: shares are down like ten thousand dollars over the last

443
00:21:21,480 --> 00:21:25,240
Speaker 4: few months, like essentially saying that it was a bad investment,

444
00:21:25,560 --> 00:21:28,560
Speaker 4: And I was like, oh, my goodness, Like that is

445
00:21:28,640 --> 00:21:30,840
Speaker 4: not like, yes, your shares are down over the last

446
00:21:30,880 --> 00:21:33,600
Speaker 4: few months, but like gazoom oush like you've got blue

447
00:21:33,680 --> 00:21:37,040
Speaker 4: chip stocks. The entire market is down at the moment,

448
00:21:37,080 --> 00:21:40,600
Speaker 4: we should be seeing it as on sale as those too.

449
00:21:41,200 --> 00:21:44,080
Speaker 4: Oh my investment's down and therefore it must be a

450
00:21:44,119 --> 00:21:49,000
Speaker 4: bad investment. The market is wild, she's dramatic. We need

451
00:21:49,040 --> 00:21:52,640
Speaker 4: to understand her to be able to deal with her

452
00:21:52,640 --> 00:21:56,560
Speaker 4: different moods. Essentially, yeah, absolutely, and just be patient with her.

453
00:21:56,880 --> 00:22:00,800
Speaker 4: So the video is under pressure right now so much

454
00:22:00,840 --> 00:22:04,040
Speaker 4: so like where's the opportunity now? Like where are investors

455
00:22:04,080 --> 00:22:05,240
Speaker 4: starting to look instand?

456
00:22:05,320 --> 00:22:05,960
Speaker 2: I feel like.

457
00:22:05,960 --> 00:22:10,439
Speaker 4: We're seeing a bit of a shift so like AI.

458
00:22:10,640 --> 00:22:14,040
Speaker 4: Now I won't say his household. Not everyone understands it fully,

459
00:22:14,080 --> 00:22:16,680
Speaker 4: but it's not as like ooh ah as it used

460
00:22:16,680 --> 00:22:18,879
Speaker 4: to be. Sure like now you're like, oh, yeah, I

461
00:22:18,960 --> 00:22:22,080
Speaker 4: understand the premise of chat GPT, Oh yeah, I understand

462
00:22:22,119 --> 00:22:25,280
Speaker 4: what deep seek is. But in twenty twenty three and

463
00:22:25,359 --> 00:22:28,320
Speaker 4: twenty twenty four, the I guess hype was all around

464
00:22:28,359 --> 00:22:32,960
Speaker 4: AI infrastructure, so like the chips, the servers, like the

465
00:22:33,000 --> 00:22:37,880
Speaker 4: cloud capacity, basically the building blocks that created AI. We

466
00:22:37,880 --> 00:22:41,280
Speaker 4: were like so excited about purchasing. But now the market's

467
00:22:41,320 --> 00:22:45,960
Speaker 4: really asking, well, who's making money using this technology? Like

468
00:22:46,240 --> 00:22:49,080
Speaker 4: we've built it that people have come. Who are the

469
00:22:49,160 --> 00:22:52,159
Speaker 4: people that are using it to make a lot of money?

470
00:22:52,400 --> 00:22:57,760
Speaker 4: Because we're seeing, you know, this system help us individually,

471
00:22:58,280 --> 00:23:00,560
Speaker 4: but surely they are really big companies that have found

472
00:23:00,560 --> 00:23:03,840
Speaker 4: ways to use AI to their advantage and are making

473
00:23:03,880 --> 00:23:05,679
Speaker 4: a lot of money. I would really like to invest

474
00:23:05,720 --> 00:23:08,359
Speaker 4: in those companies. Yeah, so that I feel like it

475
00:23:08,440 --> 00:23:11,480
Speaker 4: is quite smart. So who's making the money, So there's

476
00:23:11,600 --> 00:23:15,320
Speaker 4: more focus, I would say on the company's further down

477
00:23:15,359 --> 00:23:18,639
Speaker 4: the AI value chain side a thing. Let's call it

478
00:23:18,640 --> 00:23:21,720
Speaker 4: like the chain you've gone further down, like software players

479
00:23:21,800 --> 00:23:26,159
Speaker 4: or even industries applying AI in real practical ways. So

480
00:23:26,200 --> 00:23:28,920
Speaker 4: an example of that might be, you know, you might

481
00:23:28,960 --> 00:23:31,639
Speaker 4: find and this is my easiest example, like I have

482
00:23:31,680 --> 00:23:34,399
Speaker 4: a mortgage broking company. At the moment, I'm looking at

483
00:23:34,400 --> 00:23:37,840
Speaker 4: other mortgage broken companies using AI to help with a

484
00:23:37,880 --> 00:23:41,520
Speaker 4: lot of the like ADMIN processes, and I'm going, oh,

485
00:23:41,600 --> 00:23:44,919
Speaker 4: that's smart. Imagine if that was scalable, that could be

486
00:23:44,960 --> 00:23:49,920
Speaker 4: an investing opportunity here for me, because obviously I'm seeing

487
00:23:50,000 --> 00:23:53,720
Speaker 4: it individually in my business be really helpful. So let's

488
00:23:53,800 --> 00:23:57,320
Speaker 4: take a company Palenteer for example. Beck you might not

489
00:23:57,359 --> 00:24:00,960
Speaker 4: have heard of Palenteer before. They're not buildings, but they

490
00:24:01,040 --> 00:24:05,080
Speaker 4: are helping businesses and governments, which is important because governments

491
00:24:05,119 --> 00:24:08,480
Speaker 4: have lots of money. Taylor AI models using their own

492
00:24:08,560 --> 00:24:12,359
Speaker 4: data so even in this market downturn, their share price

493
00:24:12,440 --> 00:24:16,240
Speaker 4: is actually up sixteen or so percent this year, and

494
00:24:16,480 --> 00:24:19,200
Speaker 4: that's on top of the massive get this, three hundred

495
00:24:19,240 --> 00:24:21,720
Speaker 4: and forty percent gain they had in twenty twenty.

496
00:24:21,440 --> 00:24:23,760
Speaker 2: Four, three hundred and fourty percent gain.

497
00:24:23,880 --> 00:24:27,200
Speaker 4: That's a lot of gain. And they're landing some really

498
00:24:27,200 --> 00:24:30,600
Speaker 4: big deals. So they're landing big defense and government contracts,

499
00:24:30,600 --> 00:24:35,639
Speaker 4: including get this, the new US immigration deal, which is

500
00:24:35,720 --> 00:24:40,960
Speaker 4: worth thirty million dollars. So if people are seeing big

501
00:24:41,000 --> 00:24:42,680
Speaker 4: moves like that being made.

502
00:24:42,840 --> 00:24:44,560
Speaker 2: I feel like we get our little ears up and

503
00:24:44,560 --> 00:24:46,520
Speaker 2: we're like, oh, what's going on over there?

504
00:24:47,040 --> 00:24:49,600
Speaker 4: And they are talking about shifting their focus to the

505
00:24:49,600 --> 00:24:52,240
Speaker 4: commercial sector too, like they're going to look at healthcare

506
00:24:52,400 --> 00:24:55,000
Speaker 4: and finance, which is where we could see even more

507
00:24:55,080 --> 00:24:59,080
Speaker 4: upside because those industries obviously need a lot of help

508
00:24:59,200 --> 00:25:01,119
Speaker 4: but also very lucrative.

509
00:25:01,440 --> 00:25:01,840
Speaker 2: Yeah.

510
00:25:01,920 --> 00:25:05,120
Speaker 4: So I think that this is a really good thing

511
00:25:05,240 --> 00:25:08,760
Speaker 4: to look into because they're a company that are I

512
00:25:08,800 --> 00:25:12,479
Speaker 4: guess using AI and now people are looking at this

513
00:25:12,520 --> 00:25:15,080
Speaker 4: company going, you're not making AI, but you're using AI

514
00:25:15,160 --> 00:25:15,800
Speaker 4: and you're making.

515
00:25:15,640 --> 00:25:17,439
Speaker 2: A lot of money. I want to be investing in you,

516
00:25:17,680 --> 00:25:18,560
Speaker 2: I see.

517
00:25:18,760 --> 00:25:22,400
Speaker 4: Okay, So instead of just like big flashy AI companies.

518
00:25:22,440 --> 00:25:26,400
Speaker 4: There's more attention on the ones applying it behind the scene, Yeah,

519
00:25:26,440 --> 00:25:29,240
Speaker 4: which I think is low key, really smart. But I

520
00:25:29,240 --> 00:25:31,800
Speaker 4: feel like I have been ranting and I don't even

521
00:25:31,800 --> 00:25:34,960
Speaker 4: know how we got a Disneyland reference in there. But

522
00:25:35,119 --> 00:25:37,200
Speaker 4: let's take a really quick break back, and when we

523
00:25:37,280 --> 00:25:39,680
Speaker 4: come back, I'm going to dive into, after having a

524
00:25:40,080 --> 00:25:42,360
Speaker 4: little bit of a breather, into a part of the

525
00:25:42,359 --> 00:25:43,480
Speaker 4: AI world that.

526
00:25:43,520 --> 00:25:45,359
Speaker 2: Doesn't seem to always get the spotlight.

527
00:25:45,520 --> 00:25:48,520
Speaker 4: We're talking about the quiet achievers, the ones behind the

528
00:25:48,520 --> 00:25:50,639
Speaker 4: scenes helping power the future of AI.

529
00:25:51,200 --> 00:25:52,600
Speaker 2: I would say, there's a spoiler here.

530
00:25:52,680 --> 00:25:54,640
Speaker 4: The next big thing might not be a really nice, big,

531
00:25:54,640 --> 00:25:57,720
Speaker 4: shiny app It could actually be hiding in your electricity bill.

532
00:25:57,880 --> 00:26:04,080
Speaker 4: Oh bet you didn't see that coming. All right, welcome

533
00:26:04,119 --> 00:26:07,200
Speaker 4: back everyone. So before the break, Victoria dropped a.

534
00:26:07,119 --> 00:26:11,240
Speaker 2: Bit of a juicy gem. I tried, was it Disneyland?

535
00:26:11,440 --> 00:26:11,840
Speaker 3: It was?

536
00:26:12,200 --> 00:26:15,119
Speaker 4: You know what many juicy gems in that case, and

537
00:26:15,160 --> 00:26:16,240
Speaker 4: one was Disney Like.

538
00:26:16,200 --> 00:26:17,760
Speaker 2: Disneyland just makes it make sense.

539
00:26:18,080 --> 00:26:20,359
Speaker 4: Yeah, that makes the fair and art sometimes going to

540
00:26:20,440 --> 00:26:23,440
Speaker 4: use the most rogue analogies and it really hits.

541
00:26:23,600 --> 00:26:24,119
Speaker 2: It works.

542
00:26:24,440 --> 00:26:26,879
Speaker 4: So does that mean I can claim my Disneyland trip

543
00:26:26,880 --> 00:26:28,760
Speaker 4: that I went on a few years ago on tax

544
00:26:28,920 --> 00:26:31,000
Speaker 4: I think I didn't, but I'm sure we can talk

545
00:26:31,040 --> 00:26:31,760
Speaker 4: to my accountant.

546
00:26:31,800 --> 00:26:32,280
Speaker 2: Yeah, I think so.

547
00:26:32,320 --> 00:26:34,679
Speaker 4: I think if you say any name of any product

548
00:26:34,680 --> 00:26:38,960
Speaker 4: you've bought this year on the podcast you claim it, yeah, iPhone, iPhone,

549
00:26:38,960 --> 00:26:43,440
Speaker 4: I phone, Google, Pixel nine, Pro Excel, that is a

550
00:26:43,680 --> 00:26:46,879
Speaker 4: text deductable, I will be talking to my accountant exactly.

551
00:26:47,400 --> 00:26:49,920
Speaker 4: So we were talking about the shift from hype to application.

552
00:26:50,680 --> 00:26:53,360
Speaker 4: You mentioned that it's not just the headline names investors

553
00:26:53,400 --> 00:26:56,680
Speaker 4: are watching. No, it's not, it's the behind the scenes guys,

554
00:26:56,680 --> 00:27:00,919
Speaker 4: possibly behind the scenes people. Okay, And we're seeing a

555
00:27:00,920 --> 00:27:03,680
Speaker 4: bit of a pivot from I guess backing the builders

556
00:27:03,720 --> 00:27:06,639
Speaker 4: like Navidia and the cloud giants to looking at who's

557
00:27:06,640 --> 00:27:10,760
Speaker 4: actually using this tech in a meaningful revenue generating way.

558
00:27:10,880 --> 00:27:13,119
Speaker 2: So if you're making money, I am interested.

559
00:27:13,680 --> 00:27:17,160
Speaker 4: And there's this whole other part of AI I would

560
00:27:17,160 --> 00:27:23,080
Speaker 4: call AI centrals. So we're talking utility companies, we're talking

561
00:27:23,400 --> 00:27:27,879
Speaker 4: energy providers and infrastructure players, the ones literally keeping the

562
00:27:28,000 --> 00:27:32,320
Speaker 4: lights on in the data centers powering all of this tech.

563
00:27:32,520 --> 00:27:35,320
Speaker 4: Some analysts, and you've probably heard whispers of people being like,

564
00:27:35,640 --> 00:27:38,359
Speaker 4: oh my God, don't use AI because you know, do

565
00:27:38,400 --> 00:27:40,080
Speaker 4: you know how many trees it costs?

566
00:27:40,359 --> 00:27:41,240
Speaker 2: You've heard this.

567
00:27:41,840 --> 00:27:46,880
Speaker 4: So some analysts are essentially saying that electricity demand from

568
00:27:47,000 --> 00:27:50,000
Speaker 4: data centers, which is where all of the AI is housed,

569
00:27:50,240 --> 00:27:53,760
Speaker 4: could double by twenty twenty six, which is wild when

570
00:27:53,800 --> 00:27:56,960
Speaker 4: you think about how many AI models we're running already,

571
00:27:57,320 --> 00:27:59,280
Speaker 4: Like we're already doing lots. You're saying there's going to

572
00:27:59,280 --> 00:28:01,960
Speaker 4: be double by twenty twenty six, and like that's next year. Beck,

573
00:28:02,760 --> 00:28:05,199
Speaker 4: So it's not just about the big, flashy names like

574
00:28:05,320 --> 00:28:09,639
Speaker 4: Navidia and Microsoft. It's essentially a whole ecosystem that works together.

575
00:28:09,960 --> 00:28:13,320
Speaker 4: The company's using AI in super practical ways and the

576
00:28:13,320 --> 00:28:17,000
Speaker 4: ones enabling it in the background. That's where we're starting

577
00:28:17,040 --> 00:28:21,760
Speaker 4: to see, I would say a little bit more market attention, right, Okay,

578
00:28:21,960 --> 00:28:24,359
Speaker 4: so here's the million dollar question. Yes, I feel like

579
00:28:24,400 --> 00:28:25,960
Speaker 4: this whole episode has just been trying to get you

580
00:28:26,000 --> 00:28:28,160
Speaker 4: to go against everything you say, which is I can't

581
00:28:28,200 --> 00:28:31,520
Speaker 4: give personal advice and please tell me you want personal

582
00:28:31,520 --> 00:28:34,119
Speaker 4: advice now, Okay, we'll sit down and I'll switch the

583
00:28:34,160 --> 00:28:37,840
Speaker 4: micro off. Yes, is this the next dot com bubble?

584
00:28:37,920 --> 00:28:38,080
Speaker 2: Oh?

585
00:28:38,160 --> 00:28:40,440
Speaker 4: Yeah, it could be. It absolutely could be. Do you

586
00:28:40,440 --> 00:28:42,360
Speaker 4: know what, when you say the dot com bubble, I

587
00:28:42,440 --> 00:28:46,040
Speaker 4: laughed so hard. Have you seen the interview where Jeff Bezos,

588
00:28:46,080 --> 00:28:50,840
Speaker 4: who does Amazon, He went to Harvard and like pitched

589
00:28:50,840 --> 00:28:53,560
Speaker 4: his idea for Amazon to all of these like NBA

590
00:28:53,720 --> 00:28:56,600
Speaker 4: students doing business at Harvard.

591
00:28:56,680 --> 00:28:58,120
Speaker 2: You'd think they'd be really smart.

592
00:28:58,200 --> 00:29:02,480
Speaker 4: And one guy said, look, just sell like Amazon worth

593
00:29:02,560 --> 00:29:05,120
Speaker 4: nothing at that point, because like it's never going to

594
00:29:05,200 --> 00:29:07,719
Speaker 4: take off, Like you are never going to be bigger

595
00:29:07,760 --> 00:29:10,360
Speaker 4: than bricks and mortar stores, like the shop down the

596
00:29:10,400 --> 00:29:14,560
Speaker 4: road already established, already has heaps of customers. You probably

597
00:29:14,560 --> 00:29:17,720
Speaker 4: should just throw the towel in. And that's coming literally

598
00:29:17,920 --> 00:29:21,760
Speaker 4: from him pitching to Harvard. How'd Amazon work out?

599
00:29:21,800 --> 00:29:26,440
Speaker 2: Beck? Unfortunately it's quite big? Is it? Unfortunate for who?

600
00:29:26,480 --> 00:29:29,360
Speaker 4: I mean a lot of people, but unfortunately not for

601
00:29:29,480 --> 00:29:32,880
Speaker 4: Jeff Bezos, right like he won. Unfortunately. Imagine being that

602
00:29:33,000 --> 00:29:34,920
Speaker 4: Harvard student. I know that was the one that was

603
00:29:34,960 --> 00:29:39,040
Speaker 4: like I told Jeff Bezos to drop Amazon anyway, I

604
00:29:39,040 --> 00:29:41,880
Speaker 4: thought that was funny. But the AI hype, I guess

605
00:29:41,960 --> 00:29:46,280
Speaker 4: is a lot like or has a lot of similarities

606
00:29:46,320 --> 00:29:50,120
Speaker 4: to what we actually saw when the Internet started to

607
00:29:50,880 --> 00:29:52,880
Speaker 4: become big in the late nineties.

608
00:29:53,240 --> 00:29:54,960
Speaker 2: I was around in the late nineties.

609
00:29:55,120 --> 00:29:58,320
Speaker 4: I was only privy to playing the Muppets video game

610
00:29:58,440 --> 00:30:01,400
Speaker 4: and the Barbie video game on my computer at a

611
00:30:01,440 --> 00:30:03,320
Speaker 4: designated time that my parents let me.

612
00:30:03,400 --> 00:30:05,680
Speaker 2: So a lot of the stuff that I've learned.

613
00:30:05,400 --> 00:30:08,240
Speaker 4: About the dot com bubble is actually through my own research,

614
00:30:08,440 --> 00:30:11,880
Speaker 4: not experience, and I've done a lot. But when the

615
00:30:11,880 --> 00:30:15,240
Speaker 4: Internet was the hottest new thing back, investors started essentially

616
00:30:15,280 --> 00:30:19,160
Speaker 4: throwing money at anything that had a dot com name, right,

617
00:30:19,320 --> 00:30:22,240
Speaker 4: So like investors were like, oh, you're on the internet,

618
00:30:22,440 --> 00:30:25,520
Speaker 4: take my money. Literally, companies didn't even need to be

619
00:30:25,560 --> 00:30:28,520
Speaker 4: profitable or prove themselves, and some of them didn't even

620
00:30:28,600 --> 00:30:32,000
Speaker 4: have revenue yet, and investors were like, take my money.

621
00:30:32,080 --> 00:30:35,720
Speaker 4: It's fine, I believe in this. But because the Internet

622
00:30:35,760 --> 00:30:39,880
Speaker 4: felt like the future, spoiler actually was people didn't want

623
00:30:39,880 --> 00:30:41,440
Speaker 4: to miss out. They were like, oh, my god, this

624
00:30:41,520 --> 00:30:42,840
Speaker 4: is going to be the next big thing, and they

625
00:30:42,840 --> 00:30:45,600
Speaker 4: weren't wrong. But the problem with that is that those

626
00:30:45,640 --> 00:30:49,680
Speaker 4: businesses didn't have actual business models. So like people weren't

627
00:30:49,720 --> 00:30:54,120
Speaker 4: wrong when able to identify that, you know, the Internet.

628
00:30:53,840 --> 00:30:56,360
Speaker 2: Was going to be the next big thing. That's pretty sexy,

629
00:30:56,400 --> 00:30:57,240
Speaker 2: that's pretty.

630
00:30:56,960 --> 00:30:59,720
Speaker 4: Exciting, but they did get off track when picking the

631
00:30:59,800 --> 00:31:02,560
Speaker 4: right companies to invest in. I mean investing in a

632
00:31:02,600 --> 00:31:05,160
Speaker 4: company with no revenue. It's not for me, sure, but

633
00:31:05,240 --> 00:31:07,360
Speaker 4: we need to do our research. But most of those

634
00:31:07,360 --> 00:31:10,840
Speaker 4: businesses didn't actually have business models. They were burning through

635
00:31:10,840 --> 00:31:13,920
Speaker 4: cash with absolutely no clear plan to turn a profit.

636
00:31:14,320 --> 00:31:16,160
Speaker 2: They were just like, let's spend lots of money, we

637
00:31:16,200 --> 00:31:16,840
Speaker 2: have lots of.

638
00:31:16,840 --> 00:31:20,680
Speaker 4: Investors, yay, And that was like their entire strategy. So

639
00:31:21,200 --> 00:31:25,000
Speaker 4: when reality finally caught up and interest rates then rose,

640
00:31:25,560 --> 00:31:30,160
Speaker 4: investors started asking questions. They were like, Hi, we invested

641
00:31:30,160 --> 00:31:33,720
Speaker 4: in your company, where's the revenue And they were like, Lol,

642
00:31:33,880 --> 00:31:37,440
Speaker 4: there isn't any And that's when it all collapsed. Ah okay, okay.

643
00:31:37,520 --> 00:31:39,760
Speaker 4: So this is what the dot com bubble was built on,

644
00:31:39,880 --> 00:31:43,400
Speaker 4: right belief. It wasn't just built on facts and like

645
00:31:43,520 --> 00:31:47,040
Speaker 4: looking into okay, well this company sells X and it

646
00:31:47,160 --> 00:31:49,880
Speaker 4: supplies why and because of this, I think it's a

647
00:31:49,880 --> 00:31:52,440
Speaker 4: good investment. They were just like, my hopes and dreams

648
00:31:52,520 --> 00:31:55,520
Speaker 4: are feeling good. I'm going to invest. But when the

649
00:31:55,600 --> 00:31:59,880
Speaker 4: Nasdaq dropped more than seventy five percent, it took fifteen

650
00:32:00,080 --> 00:32:03,160
Speaker 4: years to crawl back. Whoa like it did crawl back.

651
00:32:03,360 --> 00:32:06,480
Speaker 4: That's really important to point out it did eventually crawl back,

652
00:32:06,520 --> 00:32:10,080
Speaker 4: and that's why we are long term, long domestics exactly, right,

653
00:32:10,160 --> 00:32:11,720
Speaker 4: But like that's fifteen years.

654
00:32:11,840 --> 00:32:12,600
Speaker 2: That's crazy.

655
00:32:13,640 --> 00:32:17,520
Speaker 4: So now fast forward twenty five years, we've got another

656
00:32:17,560 --> 00:32:21,560
Speaker 4: revolutionary tech which was a mouthful, but that's AI with

657
00:32:21,840 --> 00:32:26,200
Speaker 4: lots of excitement and some I would say spicy evaluations.

658
00:32:26,680 --> 00:32:28,960
Speaker 4: So the difference is back that this time it's not

659
00:32:29,040 --> 00:32:31,960
Speaker 4: really scrappy startups that are just chucking a dot com

660
00:32:32,040 --> 00:32:34,280
Speaker 4: name and just going, hey, you could invest in.

661
00:32:34,280 --> 00:32:35,080
Speaker 2: Us with the future.

662
00:32:35,520 --> 00:32:39,000
Speaker 4: It's actually the biggest most profitable companies already existing in

663
00:32:39,040 --> 00:32:39,360
Speaker 4: the world.

664
00:32:39,600 --> 00:32:39,800
Speaker 2: Right.

665
00:32:40,000 --> 00:32:45,040
Speaker 4: It's Microsoft, it's Alphabet, it's Navidia, and they're dropping hundreds

666
00:32:45,040 --> 00:32:49,560
Speaker 4: of billions of dollars into AI research and development and infrastructure,

667
00:32:50,080 --> 00:32:53,320
Speaker 4: like very serious money. Like they are just you know,

668
00:32:53,840 --> 00:32:57,280
Speaker 4: floating on hopes and dreams, and I mean that's distelling

669
00:32:57,360 --> 00:32:59,200
Speaker 4: it down, but you know exactly what I mean when

670
00:32:59,200 --> 00:32:59,600
Speaker 4: I say that.

671
00:32:59,680 --> 00:33:03,400
Speaker 2: So, yeah, we're seeing some type of correlation.

672
00:33:03,880 --> 00:33:06,680
Speaker 4: Navidio is down eighteen percent this year, Tesla has been

673
00:33:06,720 --> 00:33:09,840
Speaker 4: cut in half as what should be. But unlike the

674
00:33:09,920 --> 00:33:14,520
Speaker 4: dot com days, these companies have real products back, real

675
00:33:14,800 --> 00:33:19,480
Speaker 4: legitimate products, real customers and real revenue, and you're probably

676
00:33:19,560 --> 00:33:22,000
Speaker 4: going to go, well, is that really risky? Like still

677
00:33:22,080 --> 00:33:24,200
Speaker 4: like you're saying that these are real, Like is the

678
00:33:24,320 --> 00:33:28,320
Speaker 4: risk the same, Well, the risk is not necessarily that

679
00:33:29,280 --> 00:33:33,760
Speaker 4: it's super risky, but it's that history doesn't repeat itself,

680
00:33:33,800 --> 00:33:37,880
Speaker 4: but it can sometimes rhyme. A lot of the optimism

681
00:33:37,920 --> 00:33:41,680
Speaker 4: around AI is still based on hopes and dreams and

682
00:33:41,720 --> 00:33:45,640
Speaker 4: what it might do, not what it's doing right now. Okay,

683
00:33:45,920 --> 00:33:49,000
Speaker 4: so like we're still really optimistic about oh my goodness,

684
00:33:49,080 --> 00:33:53,200
Speaker 4: it could potentially xyz. So if the money doesn't start

685
00:33:53,520 --> 00:33:56,920
Speaker 4: flowing soon from what's being invested by these big companies

686
00:33:56,920 --> 00:33:59,800
Speaker 4: into research and development and all of the infrastructure, I

687
00:33:59,800 --> 00:34:03,160
Speaker 4: think that the market could definitely cool off. And maybe

688
00:34:03,240 --> 00:34:06,920
Speaker 4: I think the biggest takeaway we can get from the

689
00:34:06,960 --> 00:34:10,320
Speaker 4: dot com bubble as it's called, is that the Internet

690
00:34:10,360 --> 00:34:14,359
Speaker 4: did change everything, like just not in the timeframe that

691
00:34:14,440 --> 00:34:18,799
Speaker 4: everybody expected it to do. Like the right idea, I

692
00:34:18,840 --> 00:34:22,360
Speaker 4: guess at the wrong time can still cost investors.

693
00:34:21,920 --> 00:34:23,560
Speaker 2: A lot of money, sure, for sure.

694
00:34:23,640 --> 00:34:26,000
Speaker 4: So like remember when we were younger and they were like,

695
00:34:26,000 --> 00:34:29,600
Speaker 4: the future is going to have flying cars? Like yeah, probably,

696
00:34:29,840 --> 00:34:33,680
Speaker 4: but like what is required to create those flying cars,

697
00:34:33,760 --> 00:34:35,799
Speaker 4: you know, right right right, I have to really quickly

698
00:34:35,840 --> 00:34:39,240
Speaker 4: be honest with about sang. I said dot com bubble before,

699
00:34:39,280 --> 00:34:41,080
Speaker 4: and I didn't know what it meant, and now keeps

700
00:34:41,200 --> 00:34:42,640
Speaker 4: and I thought I'll be able to figure it out

701
00:34:42,640 --> 00:34:44,520
Speaker 4: as you talk, and then I couldn't figure it out,

702
00:34:44,520 --> 00:34:46,560
Speaker 4: and it's far too.

703
00:34:46,560 --> 00:34:49,000
Speaker 2: Late for I love you. You are literally the best.

704
00:34:49,040 --> 00:34:51,840
Speaker 4: So the dot com bubble was when the Internet like

705
00:34:52,040 --> 00:34:55,960
Speaker 4: really started to launch and a whole heap of companies

706
00:34:56,360 --> 00:34:59,760
Speaker 4: started launching on the Internet, and people got really excited

707
00:34:59,800 --> 00:35:02,240
Speaker 4: abou about it and started investing a lot of money

708
00:35:02,320 --> 00:35:04,840
Speaker 4: got into it because they were like, the Internet's the

709
00:35:04,920 --> 00:35:06,719
Speaker 4: next big thing. And beck, I think you and I

710
00:35:06,760 --> 00:35:09,000
Speaker 4: can agree that, yeah, the Internet was the next big thing,

711
00:35:09,040 --> 00:35:12,880
Speaker 4: like it changed everything, But these companies just existing on

712
00:35:12,920 --> 00:35:15,879
Speaker 4: the Internet didn't necessarily mean that they were the next

713
00:35:15,920 --> 00:35:18,080
Speaker 4: big thing. Yes, Like if you and I'm going to

714
00:35:18,080 --> 00:35:21,440
Speaker 4: just steal this down really simply, like if you invested

715
00:35:21,480 --> 00:35:24,239
Speaker 4: in a fashion company online and you're like, oh my god,

716
00:35:24,360 --> 00:35:26,800
Speaker 4: next big thing is the Internet, and I love fashion,

717
00:35:26,840 --> 00:35:28,799
Speaker 4: so I'm going to invest in this fashion company, like

718
00:35:28,840 --> 00:35:31,879
Speaker 4: that doesn't mean it was a good fashion company, right, Like, yeah,

719
00:35:31,880 --> 00:35:35,000
Speaker 4: they were on the Internet, and if they'd made use

720
00:35:35,040 --> 00:35:37,040
Speaker 4: of that opportunity and been one of the first to

721
00:35:37,120 --> 00:35:39,560
Speaker 4: market that fantastic, they would have been really good, like

722
00:35:39,640 --> 00:35:43,880
Speaker 4: eBay or Amazon. But lots of companies were jumping up

723
00:35:43,920 --> 00:35:45,120
Speaker 4: and down about the fact.

724
00:35:44,880 --> 00:35:46,680
Speaker 2: That they just existed on the Internet and.

725
00:35:46,600 --> 00:35:49,240
Speaker 4: They didn't have real revenue, they didn't have real profits,

726
00:35:49,280 --> 00:35:50,960
Speaker 4: they didn't have a lot of product, but they had

727
00:35:51,000 --> 00:35:51,840
Speaker 4: hopes and dreams.

728
00:35:51,960 --> 00:35:54,000
Speaker 2: Gotchah okay okay, And that's.

729
00:35:53,840 --> 00:35:56,960
Speaker 4: What drove a lot of investment during that period of time.

730
00:35:57,160 --> 00:36:00,000
Speaker 4: But that investment, again was built on hopes and dreams

731
00:36:00,440 --> 00:36:04,680
Speaker 4: and wishes, and like, wishes isn't money. So for at

732
00:36:04,719 --> 00:36:07,000
Speaker 4: some point when people were like, hey, I need to

733
00:36:07,040 --> 00:36:10,560
Speaker 4: pay the bills, I'm looking for this revenue. Now I

734
00:36:10,600 --> 00:36:14,160
Speaker 4: invested in this thing, like where's the dollars? People started

735
00:36:14,160 --> 00:36:17,320
Speaker 4: to see that maybe they couldn't back themselves, and therefore

736
00:36:17,760 --> 00:36:22,200
Speaker 4: it dropped and it crashed, and reality kind of came to.

737
00:36:22,160 --> 00:36:24,000
Speaker 2: The table unfortunately, as it always does.

738
00:36:24,239 --> 00:36:28,600
Speaker 4: Literally right, So I reckon, Yes, the Internet did change everything.

739
00:36:28,760 --> 00:36:31,839
Speaker 4: So I guess when it comes to ai Beck, it's

740
00:36:31,880 --> 00:36:34,000
Speaker 4: not just all about betting on what we think the

741
00:36:34,040 --> 00:36:36,360
Speaker 4: next big thing is. I think we can all agree

742
00:36:36,360 --> 00:36:39,800
Speaker 4: that AI is definitely one of the next big things.

743
00:36:40,280 --> 00:36:43,480
Speaker 4: It's actually about understanding whether the business model behind the

744
00:36:43,520 --> 00:36:46,160
Speaker 4: thing you want to invest in behind it is actually

745
00:36:46,200 --> 00:36:47,120
Speaker 4: going to stack up.

746
00:36:47,440 --> 00:36:47,800
Speaker 1: Yeah.

747
00:36:47,920 --> 00:36:50,560
Speaker 4: Okay, So how do we even start, like thinking about

748
00:36:50,560 --> 00:36:54,360
Speaker 4: investing in tech without getting burned? Good question, because I

749
00:36:54,360 --> 00:36:57,400
Speaker 4: guess tech is very exciting and it moves very quickly.

750
00:36:57,680 --> 00:37:00,080
Speaker 4: It's literally changing the way that we live and work,

751
00:37:00,120 --> 00:37:02,440
Speaker 4: and some of the biggest success stories in history have

752
00:37:02,920 --> 00:37:05,239
Speaker 4: come out of this sector. So I think that's why

753
00:37:05,280 --> 00:37:07,600
Speaker 4: people still talk about it so much. I think that

754
00:37:07,640 --> 00:37:10,920
Speaker 4: if I said name a sector in investing, the first thing,

755
00:37:10,960 --> 00:37:13,920
Speaker 4: you'd probably say tech sector, like easy, like. I think

756
00:37:13,960 --> 00:37:16,120
Speaker 4: most people just go to that because that's where most

757
00:37:16,160 --> 00:37:20,000
Speaker 4: of the returns have come from. But it's also relatively risky.

758
00:37:20,280 --> 00:37:23,000
Speaker 4: So when we're looking at investing in tech or in

759
00:37:23,200 --> 00:37:26,040
Speaker 4: AI in particular, I've got a list and I've just

760
00:37:26,040 --> 00:37:29,719
Speaker 4: written it down. So are you really Yeah. So there's

761
00:37:29,719 --> 00:37:31,279
Speaker 4: a few things I want you to keep in mind.

762
00:37:31,360 --> 00:37:35,080
Speaker 4: The first one is hype does not equal profit, So

763
00:37:35,239 --> 00:37:37,959
Speaker 4: just because you're excited about it doesn't mean they're making money. Yeah,

764
00:37:38,040 --> 00:37:39,799
Speaker 4: It's like, do you remember when I was ranting on

765
00:37:39,960 --> 00:37:42,920
Speaker 4: about after pay shares ages ago, people were like, I

766
00:37:42,920 --> 00:37:44,600
Speaker 4: invested in after pay and it's just going up and

767
00:37:44,680 --> 00:37:46,680
Speaker 4: up and up, and I was like, they have no revenue.

768
00:37:46,719 --> 00:37:48,920
Speaker 2: This is going to crash. And then it crashed and

769
00:37:48,960 --> 00:37:51,600
Speaker 2: I was like, what a surprise, that's crazy. Who have

770
00:37:51,600 --> 00:37:52,320
Speaker 2: seen that going?

771
00:37:52,600 --> 00:37:55,839
Speaker 4: But just because a company is trending or dropping buzzwords

772
00:37:55,960 --> 00:38:00,719
Speaker 4: like quantum ai, cloud infrastructure, that doesn't actually mean it's

773
00:38:00,719 --> 00:38:03,920
Speaker 4: making money bick. They just have a fancy shiny word.

774
00:38:04,120 --> 00:38:07,440
Speaker 4: So always check the financials. Is it profitable? Does that

775
00:38:07,560 --> 00:38:09,960
Speaker 4: have revenue growth? Is it burning cash? Do you know

776
00:38:10,000 --> 00:38:11,720
Speaker 4: what you can do? You can gain the system.

777
00:38:11,880 --> 00:38:13,640
Speaker 2: Okay, you can ask chat GPT.

778
00:38:13,840 --> 00:38:18,000
Speaker 4: If a company is profitable, you can ask chat GPT like,

779
00:38:18,280 --> 00:38:20,480
Speaker 4: can you please look at the financials and let me

780
00:38:20,600 --> 00:38:24,080
Speaker 4: know if it's got year on year revenue growth. You

781
00:38:24,120 --> 00:38:26,200
Speaker 4: don't even have to look at the proper financial report.

782
00:38:26,239 --> 00:38:28,680
Speaker 4: You can give the financial report to chat GPT and

783
00:38:28,760 --> 00:38:30,920
Speaker 4: she can explain it to you. I've also decided that

784
00:38:31,000 --> 00:38:34,600
Speaker 4: chat GPT girl, oh yeah for sure. Yeah, definitely giving

785
00:38:34,640 --> 00:38:38,160
Speaker 4: female vibes. Yeah, I'm feeling that anyway. The next thing

786
00:38:38,600 --> 00:38:42,880
Speaker 4: number two on my list follow the value chain that

787
00:38:42,960 --> 00:38:46,719
Speaker 4: sounds lame, but like hear me out, not every win

788
00:38:46,960 --> 00:38:50,440
Speaker 4: in AI is going to come from the loudest players. Yes,

789
00:38:50,640 --> 00:38:53,959
Speaker 4: like Navidia and Microsoft in the spotlight and have lots

790
00:38:53,960 --> 00:38:55,799
Speaker 4: of money and keep throwing it at that. They're also

791
00:38:55,880 --> 00:38:58,359
Speaker 4: really good at a press release. So like, when you're

792
00:38:58,400 --> 00:39:00,280
Speaker 4: really good at something and you have a lot of money,

793
00:39:00,360 --> 00:39:02,480
Speaker 4: you're going to have the right amount of money to

794
00:39:02,520 --> 00:39:05,960
Speaker 4: pay pr so that people are talking about you consistently,

795
00:39:06,040 --> 00:39:09,280
Speaker 4: really nicely. But I want you to start looking at

796
00:39:09,560 --> 00:39:13,160
Speaker 4: the software companies applying AI in real ways, even the

797
00:39:13,200 --> 00:39:16,480
Speaker 4: company is powering the infrastructure like utilities or like the

798
00:39:16,600 --> 00:39:20,359
Speaker 4: chip manufacturers, Like I think that there's probably some very

799
00:39:20,480 --> 00:39:23,640
Speaker 4: real money there to be made. The third thing I've

800
00:39:23,640 --> 00:39:25,960
Speaker 4: written down, I don't think you're going to be surprised.

801
00:39:26,560 --> 00:39:30,720
Speaker 4: Diversification is your bestie. That's so true in every Yeah.

802
00:39:30,719 --> 00:39:33,080
Speaker 2: Literally, like don't go all in on one stock.

803
00:39:33,560 --> 00:39:35,279
Speaker 4: Like how many times do I have to jump up

804
00:39:35,280 --> 00:39:37,920
Speaker 4: and down about how sexy I think ETFs are?

805
00:39:38,000 --> 00:39:39,280
Speaker 2: Why diversification?

806
00:39:39,719 --> 00:39:42,320
Speaker 4: How you would never just own one stock in general,

807
00:39:42,440 --> 00:39:44,719
Speaker 4: So like, if you're going to invest in AI, why

808
00:39:44,719 --> 00:39:46,920
Speaker 4: are you picking one AI stock if you think it

809
00:39:47,000 --> 00:39:50,440
Speaker 4: is so important? Let's get a bunch of them. So

810
00:39:51,239 --> 00:39:54,320
Speaker 4: tech is volatile. We know that it is the biggest

811
00:39:54,400 --> 00:39:57,439
Speaker 4: loop de loop bride at Disneyland. So if you want

812
00:39:57,480 --> 00:40:00,280
Speaker 4: exposure to that sector, maybe consider spreading it a across

813
00:40:00,440 --> 00:40:04,440
Speaker 4: a few different tech companies, or maybe pick an ETF

814
00:40:04,440 --> 00:40:06,640
Speaker 4: that has those companies in it, or a mix of

815
00:40:06,680 --> 00:40:09,680
Speaker 4: hardware and then software and then like infrastructure place.

816
00:40:10,040 --> 00:40:11,560
Speaker 2: Sure, so we're mixing it up.

817
00:40:11,680 --> 00:40:14,680
Speaker 4: We're making sure that instead of just putting flour in

818
00:40:14,719 --> 00:40:17,600
Speaker 4: the bowl, we are putting lots of different ingredients like

819
00:40:17,680 --> 00:40:20,759
Speaker 4: eggs and sugar and a lot of butter because we

820
00:40:20,800 --> 00:40:22,680
Speaker 4: want to make a cake, baby, Like, I don't want

821
00:40:22,680 --> 00:40:25,080
Speaker 4: a bowl of flour that's been through the oven. I

822
00:40:25,239 --> 00:40:26,080
Speaker 4: want a cake.

823
00:40:26,360 --> 00:40:26,920
Speaker 2: Absolutely.

824
00:40:27,080 --> 00:40:29,560
Speaker 4: The fourth thing and I only have five, so we're

825
00:40:29,600 --> 00:40:31,040
Speaker 4: coming to the end of my list. But the fourth

826
00:40:31,040 --> 00:40:33,160
Speaker 4: thing is I want you to know your strategy. Like

827
00:40:33,239 --> 00:40:35,680
Speaker 4: I asked before if Beck would go on the Giant

828
00:40:35,719 --> 00:40:37,640
Speaker 4: drop and she said no, I want you to be

829
00:40:37,800 --> 00:40:40,600
Speaker 4: that clear on what you would and wouldn't invest in.

830
00:40:40,680 --> 00:40:43,359
Speaker 4: So AI and tech can be classic high risk, right,

831
00:40:43,760 --> 00:40:46,920
Speaker 4: high risk, high reward to play if you're in it

832
00:40:46,960 --> 00:40:49,640
Speaker 4: for the long game and you actually believe in where

833
00:40:49,680 --> 00:40:52,800
Speaker 4: tech is heading. A little bit of turbulence just comes

834
00:40:52,800 --> 00:40:55,720
Speaker 4: with the territory, like that's how it works.

835
00:40:56,320 --> 00:40:57,160
Speaker 2: But if it's.

836
00:40:57,080 --> 00:40:59,760
Speaker 4: Money that you need in I would say the near future.

837
00:41:00,400 --> 00:41:02,400
Speaker 4: Maybe if you're like, oh what do I do with

838
00:41:02,480 --> 00:41:04,840
Speaker 4: my house deposit? Or I've got a wedding coming up?

839
00:41:04,880 --> 00:41:07,439
Speaker 4: Should I be investing this mass amount of money or

840
00:41:07,600 --> 00:41:10,200
Speaker 4: maybe even your emergency fund? That is not the place

841
00:41:10,239 --> 00:41:13,960
Speaker 4: for this, like absolutely not. Make sure that your strategy

842
00:41:13,960 --> 00:41:16,800
Speaker 4: matches your timeline and your goals and.

843
00:41:16,480 --> 00:41:18,080
Speaker 2: Your peace of mind. Right.

844
00:41:18,400 --> 00:41:20,759
Speaker 4: And then the last thing I've written down here is

845
00:41:21,200 --> 00:41:24,799
Speaker 4: not every good idea makes a good investment, and I

846
00:41:24,840 --> 00:41:28,640
Speaker 4: think that is really important to remember. Just because it's

847
00:41:28,640 --> 00:41:31,600
Speaker 4: a good idea doesn't mean it's going to be profitable.

848
00:41:31,880 --> 00:41:34,520
Speaker 4: Doesn't mean that you should be investing in it. The

849
00:41:34,560 --> 00:41:37,440
Speaker 4: dot com bubble or the dot com bust didn't happen

850
00:41:37,480 --> 00:41:39,000
Speaker 4: because the Internet was a bad idea.

851
00:41:40,000 --> 00:41:42,200
Speaker 2: Was the Internet a bad idea back? I don't think so.

852
00:41:42,560 --> 00:41:44,760
Speaker 2: I think it's pretty slay great idea.

853
00:41:45,120 --> 00:41:48,200
Speaker 4: It happened because investors through a lot of money at

854
00:41:48,200 --> 00:41:52,480
Speaker 4: companies that weren't profitable or proven. AI might absolutely be

855
00:41:52,600 --> 00:41:55,680
Speaker 4: the future, but it doesn't mean that every single AI

856
00:41:55,760 --> 00:41:59,040
Speaker 4: stock is a goodbye. Like, just because people are playing

857
00:41:59,080 --> 00:42:01,759
Speaker 4: in the AI space and they're listed doesn't mean you

858
00:42:01,800 --> 00:42:04,360
Speaker 4: should be buying them. The lesson here, I think is

859
00:42:04,600 --> 00:42:09,000
Speaker 4: look for solid business models, not just shiny buzzwords. Okay, okay,

860
00:42:09,040 --> 00:42:09,600
Speaker 4: they can't just.

861
00:42:09,560 --> 00:42:10,120
Speaker 2: Talk the talk.

862
00:42:10,200 --> 00:42:12,440
Speaker 4: They also have to be walking a walk. If you're

863
00:42:12,440 --> 00:42:14,440
Speaker 4: not making money, I'm just not that interested in you.

864
00:42:14,600 --> 00:42:18,640
Speaker 4: Yeah enough, like low key rude like in the shed market, beck,

865
00:42:18,840 --> 00:42:20,080
Speaker 4: yeah we're marrying rich.

866
00:42:20,680 --> 00:42:22,279
Speaker 2: Oh not just the guy who looks rich?

867
00:42:22,520 --> 00:42:25,279
Speaker 4: Yeah yeah right, so right, So if someone's listening and

868
00:42:25,320 --> 00:42:26,959
Speaker 4: thinking like do I need to jump on the AI

869
00:42:27,040 --> 00:42:28,440
Speaker 4: train for it leaves the station?

870
00:42:29,200 --> 00:42:30,800
Speaker 2: What do you want them to remember?

871
00:42:30,960 --> 00:42:33,319
Speaker 4: Literally all of the stuff I just said about Disneyland.

872
00:42:33,600 --> 00:42:35,840
Speaker 4: But like, you don't need to be in on every

873
00:42:35,880 --> 00:42:39,120
Speaker 4: single trend to build wealth. Like if you're looking at

874
00:42:39,160 --> 00:42:41,520
Speaker 4: AI and you're like, oh, this is the future, Like, babe,

875
00:42:41,640 --> 00:42:44,120
Speaker 4: those shares are still going to increase in the future.

876
00:42:44,120 --> 00:42:46,360
Speaker 4: If that's the case, yes, you might be getting on

877
00:42:46,400 --> 00:42:48,480
Speaker 4: at a different station than everybody else.

878
00:42:48,520 --> 00:42:50,960
Speaker 2: And yes, some other people might make a little bit

879
00:42:50,960 --> 00:42:51,759
Speaker 2: more money than you.

880
00:42:52,560 --> 00:42:55,600
Speaker 4: That makes sense because they got on the train really

881
00:42:55,640 --> 00:42:59,000
Speaker 4: early and they get alonger ride, and that's fine. That

882
00:42:59,040 --> 00:43:01,600
Speaker 4: doesn't mean you're right, is any less valid, You're still

883
00:43:01,600 --> 00:43:05,680
Speaker 4: going to the same destination. So I think importantly tech

884
00:43:05,719 --> 00:43:08,920
Speaker 4: and AI can absolutely be part of your portfolio. It

885
00:43:09,000 --> 00:43:11,319
Speaker 4: is just so important to make sure it fits your

886
00:43:11,360 --> 00:43:13,880
Speaker 4: goals and your timeline and what you want to do,

887
00:43:14,239 --> 00:43:17,759
Speaker 4: and making sure that you're okay with the fact that

888
00:43:17,800 --> 00:43:20,320
Speaker 4: you're going to have a little bit of that volatility

889
00:43:20,400 --> 00:43:22,120
Speaker 4: along the way, like it's going to go up and

890
00:43:22,160 --> 00:43:24,840
Speaker 4: it's going to go down because investing at its crux

891
00:43:25,120 --> 00:43:27,840
Speaker 4: is a roller coaster and if you don't like roller coasters,

892
00:43:27,880 --> 00:43:29,040
Speaker 4: don't go to the theme park.

893
00:43:29,600 --> 00:43:30,560
Speaker 2: Fair fair call.

894
00:43:31,080 --> 00:43:34,759
Speaker 4: So I think that's actually a perfect thought trap this up.

895
00:43:34,920 --> 00:43:36,600
Speaker 4: So if you've got a mate who's been texting you

896
00:43:36,719 --> 00:43:40,040
Speaker 4: screenshots of AI stock charts and see I'm also sending

897
00:43:40,040 --> 00:43:42,960
Speaker 4: my friends screenshots of stock charts, well you're the problem.

898
00:43:43,400 --> 00:43:45,680
Speaker 4: I am the problem, and they asking, like, you know,

899
00:43:45,680 --> 00:43:48,600
Speaker 4: should I buy this? Maybe flick them this episode instead? Oh?

900
00:43:48,719 --> 00:43:51,799
Speaker 4: Should I send this to myself yourself? Don't get me wrong.

901
00:43:51,880 --> 00:43:53,799
Speaker 4: As much as I can tell you exactly what you

902
00:43:53,880 --> 00:43:56,920
Speaker 4: need to be doing, I've been down in the video wormhole,

903
00:43:57,320 --> 00:43:59,160
Speaker 4: like I go down that rabbit hole on a regular

904
00:43:59,160 --> 00:44:00,440
Speaker 4: basis and to make ooh what's this?

905
00:44:00,680 --> 00:44:02,440
Speaker 2: Oh what's that? I want to look?

906
00:44:02,480 --> 00:44:05,880
Speaker 4: And then I send texts to my also investing friends

907
00:44:06,120 --> 00:44:07,920
Speaker 4: and I'm like, what's this look like? What are your

908
00:44:07,920 --> 00:44:10,200
Speaker 4: thoughts on? And they think I'm de Lulu and spend

909
00:44:10,239 --> 00:44:12,520
Speaker 4: too long in financial reports when you could just stay

910
00:44:12,520 --> 00:44:15,080
Speaker 4: our ski But that's okay, that's a story for another day.

911
00:44:15,400 --> 00:44:18,920
Speaker 4: So if you're here, still, thank you. We love you,

912
00:44:19,160 --> 00:44:22,719
Speaker 4: and I adore talking about investing and giving you as

913
00:44:22,800 --> 00:44:25,759
Speaker 4: much investing knowledge as possible. But a way to get

914
00:44:25,760 --> 00:44:28,319
Speaker 4: more investing knowledge is for you to hit follow and

915
00:44:28,440 --> 00:44:31,720
Speaker 4: actually subscribe to our show for two reasons. Right First,

916
00:44:31,760 --> 00:44:33,680
Speaker 4: you won't miss an episode, which I think is very

917
00:44:33,680 --> 00:44:36,480
Speaker 4: important because I would love to see you again. But

918
00:44:36,560 --> 00:44:39,880
Speaker 4: also it really supports our show. So if you are subscribing,

919
00:44:39,920 --> 00:44:42,920
Speaker 4: you are following us. It means that the algorithms more

920
00:44:43,000 --> 00:44:45,320
Speaker 4: likely to push it to other people who might enjoy

921
00:44:45,320 --> 00:44:47,279
Speaker 4: our content, which I would really appreciate.

922
00:44:47,600 --> 00:44:50,719
Speaker 2: Like, we want more friends back, so obviously we.

923
00:44:50,719 --> 00:44:53,680
Speaker 4: Have a whole heap more deep dives, financial hot takes,

924
00:44:53,719 --> 00:44:55,640
Speaker 4: and all of the juicy stuff coming your way.

925
00:44:55,760 --> 00:44:57,960
Speaker 2: And if you're feeling extra generous leave us a five

926
00:44:58,040 --> 00:44:58,520
Speaker 2: star of view.

927
00:44:58,760 --> 00:45:01,560
Speaker 4: We help those two love those It really helps more

928
00:45:01,600 --> 00:45:06,000
Speaker 4: people find the pod and it gives us all the warm, fuzzy.

929
00:45:05,680 --> 00:45:08,080
Speaker 2: Cozy and on Friday episodes.

930
00:45:08,320 --> 00:45:10,399
Speaker 4: I also read one of our warm and Fuzzy five

931
00:45:10,440 --> 00:45:13,360
Speaker 4: star reviews to the team true, so feel free to

932
00:45:13,440 --> 00:45:15,759
Speaker 4: stroke Beck's ego a little bit more in those Yeah,

933
00:45:15,760 --> 00:45:25,279
Speaker 4: I wouldn't hate it be Elida Guys BI Guys did

934
00:45:25,320 --> 00:45:27,759
Speaker 4: buy shared on She's on the Money is general in

935
00:45:27,840 --> 00:45:28,880
Speaker 4: nature and does.

936
00:45:28,680 --> 00:45:30,880
Speaker 2: Not consider your individual circumstances.

937
00:45:31,239 --> 00:45:34,680
Speaker 4: She's on the Money exists purely for educational purposes and

938
00:45:34,680 --> 00:45:37,120
Speaker 4: should not be relied upon to make an investment or

939
00:45:37,200 --> 00:45:40,760
Speaker 4: financial decision. If you do choose to buy a financial product,

940
00:45:40,880 --> 00:45:44,320
Speaker 4: read the PDS TMD and obtain appropriate financial.

941
00:45:44,000 --> 00:45:45,800
Speaker 2: Advice tailored towards your needs.

942
00:45:46,160 --> 00:45:50,080
Speaker 4: Victoria Divine and She's on the Money are authorized representatives

943
00:45:50,160 --> 00:45:54,279
Speaker 4: of Money. Sheper pty Ltd ABN three two one six

944
00:45:54,360 --> 00:45:58,200
Speaker 4: four nine two seven seven zero eight AFSL four five

945
00:45:58,320 --> 00:46:04,600
Speaker 4: one two eight ninett include the