She's On The Money - Should You Be Investing in Tech and AI?
Episode Date: May 13, 2025AI is everywhere right now. It’s writing emails, making playlists, and popping up in every “get rich quick” TikTok you scroll past. But when it comes to your hard-earned money, is th...is actually the smart place to invest… or just another hype train about to derail? In this episode, we’re breaking down what’s really going on with AI and tech shares and why throwing your savings at the next shiny thing might not be the wealth-building move it’s made out to be. Are you already too late for the big wins? Are tech giants like Apple, Amazon, and Nvidia still a safe bet? And how do you know if you’re investing for future-you… or just chasing financial FOMO? In This Episode:🤖 Why everyone’s suddenly obsessed with AI (and if you should be too?)🤖 How to spot the difference between a smart investment and financial FOMO🤖 What history’s bubbles (hello, dot-com crash!) can teach us about today’s hype🤖 Why you don’t have to be early, you just have to be smartNOTE: This episode was recorded before Trump announced changes to the chip export rules were on the way, so this is something we will be keeping our eyes on to see how it plays out!LISTEN TO: Our Money Diary on working in tech... The Truth About Big Tech Money From Someone Living It Join our 300K+ She's on the Money community in our Facebook Group and on Instagram. Acknowledgement of Country By Natarsha Bamblett aka Queen Acknowledgements. The advice shared on She's On The Money is general in nature and does not consider your individual circumstances. She's On The Money exists purely for educational purposes and should not be relied upon to make an investment or financial decision. If you do choose to buy a financial product, read the PDS, TMD and obtain appropriate financial advice tailored towards your needs. Victoria Devine and She's On The Money are authorised representatives of Money Sherpa PTY LTD ABN - 321649 27708, AFSL - 451289.See omnystudio.com/listener for privacy information.
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Hello, my name is Natasha Nabanunga-Bamblett. I'm a proud Yorta Yorta, Kernai, Wolperi and
Awadjeri woman. And before we get started on She's on the Money podcast, I would like
to acknowledge the traditional custodians of the land of which this podcast is recorded
on Awadjeri country, acknowledging the elders, the ancestors and the next generation coming
through. As this podcast is about connecting, empowering, knowledge sharing and the storytelling
of you to make a difference for today and lasting impact for tomorrow. Let's get into it.
She's on the money.
She's on the money.
Hello and welcome to She's on the Money, the podcast that knows investing in innovation
sounds hot, but losing all your money on hype is not. Are you getting FOMO?
It was your delivery. Did you like it?
It was like you were questioning whether you should say it or not.
You were like, it is hot. It is not.
True. Because my whole life I've learned that hype is exciting and fun, but I'm now learning,
wow, it's not hot. Are you getting FOMO and feeling like you should be investing in AI,
even if you're not 100% sure what it actually does? Or are you wondering whether this is the
next big opportunity or just another tech bubble waiting to burst? Well, you're in luck because
we're diving deep into the world of tech stocks and AI and what's real, what's risky, and what
you need to know before you drop your savings into the next shiny thing. I'm Bec Syed, your co-host
here to ask, wait, what does that mean? So you don't have to. I'm joined by the woman who actually
knows what she's talking about, Victoria Devine. Hi, Victoria. Hello, Bec. I am, as always,
butting into your intros. I do apologize, but I am very excited to talk about this.
I really wanted to do this episode because I get so many DMs from people being like,
should I be investing in AI? And like most of the time, I don't mean to be rude.
Do you ever know what AI is? Like obviously artificial intelligence, but like how does
it work? What does that mean? And if you were going to invest into it, do you know what stocks
or have you just been watching TikToks? Like I swear most of people's, I guess, investing
knowledge comes from TikTok and that is so fine because same queen like TikTok rules my life but
I think something that social media is really good at is making us feel like we're missing out on
something yeah oh yeah like how many times have you seen like one video you watched it like full
and then you just keep getting served the same stuff so you keep thinking oh my god this is like
the next big thing but it's actually just your algorithm picking up on what you were interested
in and serving you more of it doesn't necessarily mean it is a good thing, right? Not necessarily.
No. Yeah. I see what you're saying. So let's start at the beginning of what actually makes
a company a tech share, because right now it feels like every company is throwing around the word
AI. So I guess if we strip it all the way back, a tech share or a tech company is a share in a
company whose core business is technology. So that could be literally so many things. It could be
software, it could be hardware, it could be artificial intelligence, it could be cloud
computing or robotics. And you guys probably have heard a lot of the names before, but we've got
things like Apple and Microsoft and Nvidia and Amazon and Meta, that's Facebook, Beck, and
Alphabet, that's Google and Tesla. So we already know that these things exist. You've heard of
them. And sometimes I've just listed off seven different companies, Beck. Sometimes they're
actually grouped together, these specific seven, and they're called the magnificent seven because
of how much they actually dominate the US market, which is kind of interesting when you start to get
into it. They actually make up, so these seven shares make up 35% of the entire S&P 500. So the
S&P 500 is a list of the top 500 companies in America, and they make up 35% of that, which I
think is absolutely wild. And since the start of 2023, they've actually driven more than 70%
of the entire market's returns. So that's a lot of market weight sitting on literally seven
companies, which is probably why people are genuinely so interested in going,
should I be investing in this? Because like that seems pretty dramatic. Like if you're telling me
these seven companies are driving 70% of the index's returns
and then also make up 35% of the entire S&P 500.
Like, okay.
Right.
In 2025, should we be doing that or have things taken a turn?
Let's see.
I wonder if there's an ETF that just is comprised of those seven companies.
Yes, it's called the S&P 500.
No, just those seven.
Just those seven?
Yeah, there definitely is.
Wow.
There definitely is.
I thought you meant like of all of those and I was like, babe,
Yes, that's why it's called the S&P 500. It's actually very clear. I don't listen to a word
you say, but no, I'm just kidding. So what's actually changed? Is it just like the hype
dying down or something more? Okay. So in 2023 and 2024, I think everyone started getting really
excited about AI. It started to become something that you were discussing at home as opposed to
just Tesla. Like, remember when we were talking, I don't know, maybe like between 2020 and 2022
too about the self-driving car. Yes. Right. So it was all aspirational. It was all stuff that,
you know, Elon Musk was doing. It wasn't stuff that you could do at home, Bec. Like you would
just be like, that's so interesting. AI is going to change the world. And then after ChatGPT
launched, Bec, you could do it at home. Like we've got AI at home, Bec. And so what that meant was
you could start to see how impactful this was, whether you were using ChatGPT to just answer a
you questions about maths or explain the share market to me or make this letter seem more
professional. People started to really believe in what AI could do and they could literally
feel it. They could see it. They could see how this change was going to impact the market or
impact even their daily jobs. Like people started being like, um, am I going to be replaced? Cause
like, you know, you could say to chat GPT, Hey, could you write a really nice email?
and like it could, right?
So stocks like NVIDIA and Meta
and Microsoft absolutely surged,
not because of their current earnings,
but because people started seeing that.
People started going,
oh, AI is pretty cool.
And those companies are using AI pretty predominantly.
Like we've spoken about recently,
obviously chat GPT,
but like Microsoft now has Copilot and such.
But investors are now asking,
well, where's the revenue?
where's the return? So all of this surged because we were excited, but that's market sentiment,
right? Like, oh my God, I want that. And if lots of people start buying one particular type of
asset, the market goes, oh, let's increase the price because it's quite popular, but there's
no increased earnings yet. It's all just like hopes and dreams. I see. And hopes and dreams
don't pay the bills, Bec. So people start asking questions when the bills aren't getting paid
really quickly and going, hold on, where's the money in all of this? And so now there was a
report that came out recently from the Bank of America. And it actually said, we expect AI to
be transforming from a tell me to a show me story with any disconnect between investments and
revenue generation to come under intense scrutiny, which I think is definitely happening. So now
companies can't just talk about innovation. They actually have to back it up with results.
like before you could just launch ChatGPT. You'd be like, wow, that's really cool. We've seen it
now. So if you want to launch something similar, I'm going to need to see some revenue. I'm going
to need to see some results. Otherwise that's not that interesting. Like, don't get me wrong. It's
very, very interesting. I'm not being rude. I'm just talking from a investment mindset, right?
So I think there's just a lot up in the air because people are now like, okay, cool. So I
invested in this thing? Where are my returns? Chop, chop. You'd be the same, right? Yeah,
totally, totally. It kind of feels like there are lots of ups and downs in the tech and AI sector.
Oh, absolutely. I feel like it's like a little rollercoaster and the tech sector obviously is
incredibly powerful. We know that that magic seven carries 70% of the returns, which is very
interesting. But one of the reasons is because tech moves so quickly and that's what makes it
really exciting, but also really volatile and volatility, the word volatility, it literally
just means the ups and downs. So anytime someone says volatility, think of a rollercoaster because
it just is how much the share price of something increases and then decreases and then increases
and then decreases. And the more exciting that asset, the bigger and the bougier the rollercoaster,
right? So like, if you go to the, like, to my friends, I've explained it like Disneyland,
right so like you go to Disneyland and that's the share market and we go to the like kids section
and you get on the teacups ah yes and like that's kind of fun very expected like is something on
the teacup ride gonna happen that you weren't anticipating probably not it's gonna spin around
gonna do the job everyone's welcome um you can put your grandma on it you could put your
three-year-old on it everyone's happy everyone's good then we're gonna go to the other side and
we're going to the wild west beck okay going to the wild west still in disneyland still a share
but we don't actually know what happens once you get on that roller coaster because it's behind
the thing yeah you know when you like see the wild west ride and all you see is the people coming out
of the top of the mountain and straight down into the water yeah yeah yeah yeah but you can't see
how many ups and downs are before that but that's way more exciting yeah that's very true so the more
exciting an asset the more excited you are about seeing something or going on the ride the more
ups and downs you've got to anticipate so teacup is maybe like cash yeah teacup might be cash it
might be a little bit of a bond like it's keeping us comfy it's very predictable yeah I love
Disneyland I love a wild west ride you know I went on the giant drop at movie world when it was a
thing is the giant drop still a thing I don't know but I hate those ones but I know exactly
which one you're talking about but you've got to expect a lot of up and down and a lot of like
volatility. So when we think volatility, we're thinking roller coasters. And if you want it to
be an exciting roller coaster or an exciting asset class, it has to go up and down and you've got to
be prepared for that. Yeah. Right. So we're getting prepared, but I actually spoke back to a money
diarist who worked in tech. Oh my God. It was so interesting. Literally the amount of money people
are making in tech. Like if you've been thinking, maybe I need to change my job, you probably should
just go into tech. And while she had a really great salary, like literally, she had like a
salary of like $300,000 plus she was being issued shares and she was making about half a million
dollars-ish a year. Oh my God. That's so good. And she literally just worked her way up. Like
she didn't have some fancy degree. Like she did do a degree, but it wasn't the reason for her
success. Anyway, you can go listen to that money diary. Half her team were literally laid off
within the first few months of her starting like that's scary yeah like so not only are the asset
classes scary for people purchasing them but for the people working in them there's also a lot of
volatility and the same like literally goes for stocks you can like have a great run and then you
can lose a chunk of your value in a couple of weeks so I think yeah let's think about Disneyland
and the different types of rides they have and if you want to be in tech you've just got to be
accepting that the rollercoaster is a little bit more wild. You might have a bit more fun though.
That is the risk you take. So if we want to talk about, I feel like NVIDIA, I did a whole podcast
on this, but NVIDIA is a good example and one that we've spoken about in the past. This company has
been, I guess, the poster child for the AI boom. Like everyone is talking about it. Everyone being
me and everyone in the investing space. Maybe you haven't been talking about it at your dinner table,
but it was a hot topic, I guess, in 2023, 2024. And the reason they have been, I guess, so popular
is because they make like little computer chips and those computer chips are basically the brains
of all of the AI models. So like ChatGPT needs these chips to function. So obviously with the
rise of people using ChatGPT, NVIDIA is going to increase in price and even big tech companies like
OpenAI and Microsoft and Meta, they were buying NVIDIA's GPUs by the truckload to essentially
power their data centers. So that tells me that if all of those, remember the big seven,
obviously NVIDIA is one of them, but if the other companies in the big seven are purchasing
from NVIDIA, you go, oh, well, someone's been cooking here. Like what's going on? So naturally
NVIDIA's share price then started to go through the roof up over 200% at one point, Bec, based
mostly on what people believed AI could become. Not proof, just like they started seeing the big
dogs getting on the big rides and going, well, if they're comfy, I want to be on the big ride.
But it was all just belief because you were seeing people walk the walk, but we hadn't heard
much about revenue. We hadn't seen a lot of income yet. It was all just, this is the next big thing
Beck. But someone comes knocking and says, Hey, are you paying your bills? And you go, well,
I haven't been paid by these assets yet. So you're going to start asking questions, but obviously I'm
on a little bit of a rant and I do apologize. And you can ask some questions in a hot second,
but it does get a little bit messy. So this like gossip podcast, now are you ready? So there's a
Chinese company called Deep Seek. You might've heard about it and it came out of literally
nowhere and it launched a competitive AI model that used way less GPU. So these chips, the power
chips, it used a lot less GPU power, meaning they needed less of the chips. So everyone was like,
oh, what is deep seek? How does that work? And that got investors really spooked. So people
started being like, oh my God, like I just invested in this other AI thing, but now deep
seeks come out. And I feel like we all know that the Chinese people are really, really smart. So
when something comes out of China, you go, um, okay, like their tech sector is really impressive.
And suddenly people were asking all these questions, like, have we just been over-investing
in something that might actually not be necessary? Like, cause deep six come out and said, Hey,
our tech uses way less of these chips. And now we're all like, wait, wait, wait, did we jump
the gun a little bit? But now we are seeing the impacts and America has a lot to do with this,
but we're now seeing the impacts of Trump's trade war. So he's the drummer, like he has been drummer
And I don't appreciate it.
I don't think many people appreciate it.
But on top of his ridiculous tariffs, at the time of recording,
America has also put export restrictions on high-end chips going to China.
And then China were like, absolutely not.
And then they fired back by blocking exports of critical minerals
that are needed to make those chips.
So like, good luck making the chips if you can't get the minerals to make them.
Good move.
But that's what I mean.
Like, it's a bit of a gossip podcast.
and do you know what that meant so the result of that is that analysts believe i do too after
reading their work but like they did it not me but analysts believe nvidia is now sitting on
5.5 get this 5.5 billion dollars worth of advanced chips it built for china but they can't sell
without u.s government approval oh so they can't sell them yeah and the government's like absolutely
not. That's not leaving because we are the drama and we are starting all of this shit. Anyway,
that's obviously quite stressful, but because this is going around and like Nvidia hasn't
confirmed to this because like, you know, I'm not going to confirm whether you cheated or not. Like
it's not going to happen. These are just analysts who are like, okay, like we know what their
production looks like. We're going to guess how much they have in their stocks. So 5.5 is the
guess, but because that's being discussed in the market, their stock has now fallen around 18%.
So people are like, oh, that's true. That's stressful. Like if NVIDIA is holding all of
these chips and can't sell them, like that's not good, which means their income is going to go down.
And some of that hype around how good NVIDIA is, it started to fade. People just don't care
as much anymore because they're like, like NVIDIA can't even sell their chips.
Right.
Like, why would you continue to invest in them?
And investors are really starting to ask, well, is this a short-term bump or should
we be rethinking this whole thing long-term?
Like, should we be looking for other companies to invest in?
Because we like the idea of AI, but like, there's a lot of political drama around this
particular one.
So people are investing less into NVIDIA.
Does that make sense?
It does make sense.
It's a lot to take in.
Yeah.
I feel like that's why I'm like, it's a gossip podcast.
You need to understand all of the moving parts and I've got to give you the whole backstory.
Absolutely. So does this mean that NVIDIA is bad now?
Not necessarily, but it depends on your investment style. And I hate this question when people are
like, oh my God, should I buy this? And it's like, well, I can't give you personalized advice. If I
could, I would, but I can't, so I won't. It depends on your investment style, the time horizon that
you have. So like how long you're planning on investing for and your tolerance for risk goes
back to Disneyland and like, I can't remember all of the rides that are there, but you get my vibe
when I'm like, oh, would you go on the teacup, Bec? Right. I would happily go on the teacup.
You have gone on the teacup. Would you go on the giant drop? I don't think. Yeah. So that's what
risk is, right? So that's your tolerance to risk, but it's in the share market. So you might look at
different shares and go, okay, well, a blue chip stock, I'm going to buy that. No worries. But now
with all this additional information about NVIDIA, would you purchase that? So the question
is not whether you should or shouldn't. It's more around your personal situation and whether
you would be comfortable with it. Because remember how I said, I love the giant drop.
Yeah. So like we're there, the line is short. I go, Bec, do you want to go on it with me? You go,
no, absolutely not. I'll wait here. I'll take a picture of you on it. And I go on the ride. So
can I tell you whether you should go on the ride or not? Because I like the ride. You go, but I
don't like the ride V. So that's what happens when people ask me, Hey, should I invest in this?
How do I answer that? I don't know if you like rides. Do you know what I mean?
Right, right, right. Okay.
You need to work out your own tolerance to risk. And once you do, and you can,
cause I've done episodes on risk tolerance and your investment risk profile. And you can also
Google free investment risk profile and do one online to work out what you would be able to
tolerate. Once you do that, you would get an idea of whether you would want to invest. But I think
when it comes to Nvidia specifically, they're a massive player. Like in the AI space, they are
going to be a massive player. And I don't think with how much market saturation they have, they're
going anywhere quickly. Their chips are basically in every single major model out there at the
moment. Could that change? Maybe, but it would take a long time and a lot of different companies
making a lot of big changes to change that. They've got scale, they have dominance and
essentially I don't think they're going anywhere anytime, but they are also under so much pressure
Beck. But can you imagine all of this gossip coming out about you? I know it'd be sad. You
would be feeling the pressure and essentially politically, economically, and from competitors,
they are feeling that heat. So if you are investing for the long-term and you believe
that you want, you know, AI to be in your investing portfolio because you believe in the
future of AI infrastructure, then this could definitely be an opportunity for you to purchase
some shares because they're down 18%. And when we see the share market down by 18%,
sometimes we could be like, oh, it's on sale. Yes. I love a little discount. Like don't get
me wrong. If you're going to go to Disneyland, Beck, are you Googling discount code on your
tickets. Yeah. Exactly. And that's what a drop in the share market means. So it's less, I guess,
about the question of, is NVIDIA a bad guy? And more about whether it fits your goals and your
investing aspirations and your timeline, and then how comfortable you are writing out that
volatility. And there are just some people who don't want to go on the giant drop. Fair enough.
And I guess like, even if it's something that could be perceived as like a bad purchase or
something. It's like, there's no way of telling what like the future looks like. So yeah, I guess
I know what you're saying. It's funny. Cause like, as you know, I get in the comments section on our
videos on TikTok and on Instagram, and I'm always replying to people and someone was like, well,
I bought this and my shares are down like $10,000 over the last few months. Like essentially saying
that it was a bad investment. And I was like, oh my goodness. Like that is not like, yes,
your shares are down over the last few months, but like zoom out, like you've got blue chip stocks,
the entire market is down at the moment. We should be seeing it as on sale as opposed to,
oh, my investment's down and therefore it must be a bad investment. But the market is wild. She's
dramatic. We need to understand her to be able to deal with her different moods, essentially.
Yeah, absolutely. And just be patient with her. So NVIDIA's under pressure right now.
Yeah, so much.
So much.
So like where's the opportunity now?
Like where are investors starting to look instead?
I feel like we're seeing a bit of a shift.
So like AI now, I won't say is household,
not everyone understands it fully,
but it's not as like, ooh, ah, as it used to be.
Sure.
Like now you're like, oh, yeah, I understand the premise of chat GPT.
Oh, yeah, I understand what deep seek is.
But in 2023 and 2024, the, I guess,
hype was all around AI infrastructure. So like the chips, the servers, like the cloud capacity,
basically the building blocks that created AI, we were like so excited about purchasing.
But now the market's really asking, well, who's making money using this technology? Like we've
built it, the people have come, who are the people that are using it to make a lot of money? Because
we are seeing, you know, this system help us individually. But surely there are really big
companies that have found ways to use AI to their advantage and are making a lot of money. I would
really like to invest in those companies. Yeah. So that I feel like is quite smart. So who's making
the money? So there's more focus, I would say, on the companies further down the AI value chain.
Is that a thing? Let's call it like the chain. You've gone further down like software players
or even industries applying AI in real practical ways. So an example of that might be, you know,
you might find, and this is my easiest example, like I have a mortgage broking company at the
moment. I'm looking at other mortgage broking companies using AI to help with a lot of the
like admin processes. And I'm going, oh, that's smart. Imagine if that was scalable. Oh, that
could be an investing like opportunity here for me, because obviously I'm seeing it individually
in my business be really helpful. So let's take a company, Palantir, for example. Bec,
you might not have heard of Palantir before. They're not building chips, but they are helping
businesses and governments, which is important because governments have lots of money, tailor
AI models using their own data. So even in this market downturn, their share price is actually up
16 or so percent this year. And that's on top of the massive, get this, 340 percent gain they had
in 2024. 340 percent gain. That's a lot of gain. And they're landing some really big deals. So
they're landing big defense and government contracts, including, get this, the new US
immigration deal, which is worth 30 million dollars. So if people are seeing big moves like
that being made, I feel like we get our little ears up and we're like, oh, what's going on over
there? And they are talking about shifting their focus to the commercial sector too. Like they're
going to look at healthcare and finance, which is where we could see even more upside because
those industries obviously need a lot of help, but also very lucrative. Yeah. So I think that this is
a really good thing to look into because they're a company that are, I guess, using AI and now
people are looking at this company going, you're not making AI, but you're using AI and you're
making a lot of money. I want to be investing in you. I see. Okay. So instead of just like big,
flashy AI companies, there's more attention on the ones applying it behind the scenes.
Yeah. Which I think is low key, really smart, but I feel like I have been ranting and I don't even
know how we got a Disneyland reference in there, but let's take a really quick break back. And
when we come back, I'm going to dive into, after having a little bit of a breather, into a part of
the AI world that doesn't seem to always get the spotlight. We're talking about the quiet achievers,
the ones behind the scenes helping power the future of AI. I would say there's a spoiler here.
The next big thing might not be a really nice, big, shiny app. It could actually be hiding
in your electricity bill. Oh, bet you didn't see that coming.
all right welcome back everyone so before the break victoria dropped a bit of a juicy
gem i tried was it disneyland it was oh you know what many juicy gems in that case and one was
disneyland just makes it make sense yeah that's maybe fair enough sometimes you've got to use
the most rogue analogies and it's really it really hits it worked so does that mean i can
claim my Disneyland trip that I went on a few years ago on tax? I think so. I didn't, but I'm
sure I can talk to my accountant. Yeah, I think so. I think if you say any name of any product
you've bought this year on the podcast, you claim it. Yeah. iPhone. iPhone. iPhone. Google Pixel 9
Pro XL. Yes, that is now tax deductible. I will be talking to my accountant. Exactly. So we're
talking about the shift from hype to application. Yeah. And V, you mentioned that it's not just the
headline names investors are watching? No, it's not. It's the behind the scenes guys. Possibly
behind the scenes people. Exactly. And we're seeing a bit of a pivot from, I guess, backing
the builders like NVIDIA and the cloud giants to looking at who's actually using this tech in a
meaningful revenue generating way. So if you're making money, I am interested. And there's this
whole other part of AI, I would call AI essentials. So we're talking utility companies,
we're talking energy providers and infrastructure players, the ones literally keeping the lights on
in the data centers, powering all of this tech. Some analysts, and you've probably heard whispers
of people being like, oh my God, don't use AI because, you know, do you know how many trees
costs. You've heard this. So some analysts are essentially saying that electricity demand from
data centers, which is where all of the AI is housed, could double by 2026, which is wild when
you think about how many AI models we're running already. Like we're already doing lots. You're
saying there's going to be double by 2026 and like that's next year, Bec. So it's not just about the
big flashy names like NVIDIA and Microsoft. It's essentially a whole ecosystem that works
together, the companies using AI in super practical ways and the ones enabling it in the
background, that's where we're starting to see, I would say, a little bit more market attention.
Right. Okay. So here's the million dollar question. Yes. I feel like this whole episode
has just been trying to get you to go against everything you say, which is I can't give
personal advice. And please tell me. You want personal advice now? Okay. Well,
sit down and I'll switch the mic off. Yes. Is this the next dot com bubble?
Oh yeah, it could be. It absolutely could be. Do you know what? When you say the dot-com bubble,
I laugh so hard. Have you seen the interview where Jeff Bezos, who does Amazon, he went to
Harvard and like pitched his idea for Amazon to all of these like MBA students doing business
at Harvard. You'd think they'd be really smart. And one guy said, look, just sell like Amazon
worth nothing at that point. Cause like, it's never going to take off. Like you are never
going to be bigger than bricks and mortar stores. Like the shop down the road, already established,
already has heaps of customers. You probably should just throw the towel in. And that's coming
literally from him pitching to Harvard. How'd Amazon work out, Bec? Unfortunately, it's quite
big, isn't it? Is it? Unfortunate for who? I mean, a lot of people, but unfortunately,
not for Jeff Bezos, right? Like he won. Unfortunately, imagine being that Harvard
student. I know. That was the one that was like, I told Jeff Bezos to drop Amazon. Anyway, I thought
that was funny, but the AI hype, I guess, is a lot like, or has a lot of similarities to what we
actually saw when the internet started to become big in the late nineties. I was around in the
late nineties. I was only privy to playing the Muppets video game and the Barbie video game on
my computer at a designated time that my parents let me. So a lot of the stuff that I've learned
about the dot-com bubble is actually through my own research, not experience. And I've done a lot,
but when the internet was the hottest new thing back, investors started essentially throwing
money at anything that had a dot-com name. Right. So like investors were like, oh, you're on the
internet. Take my money. Literally companies didn't even need to be profitable or prove
themselves and some of them didn't even have revenue yet. And investors were like, take my
money. It's fine. I believe in this. But because the internet felt like the future, spoiler, it
actually was, people didn't want to miss out. They were like, oh my God, this is going to be the next
big thing. And they weren't wrong. But the problem with that is that those businesses didn't have
actual business models. So like people weren't wrong when able to identify that, you know,
the internet was going to be the next big thing. That's pretty sexy. That's pretty exciting.
But they did get off track when picking the right companies to invest in. I mean,
investing in a company with no revenue, it's not for me. Sure. But we need to do our research.
But most of those businesses didn't actually have business models. They were burning through cash
with absolutely no clear plan to turn a profit. They were just like, let's spend lots of money.
We have lots of investors. Yay. And that was like their entire strategy. So when reality finally
caught up and interest rates then rose, investors started asking questions. They were like, um, hi,
we invested in your company. Where's the revenue? And they were like, lol, there isn't any. And
that's when it all collapsed. Ah, okay. Okay. So this is what the dot-com bubble was built on,
right? Belief. It wasn't just built on facts and like looking into, okay, well, this company sells
X and it supplies Y. And because of this, I think it's a good investment. They were just like,
my hopes and dreams are feeling good. I'm going to invest. But when the NASDAQ dropped more than
75%, it took 15 years to crawl back. Whoa. Like it did crawl back. That's really important to
point out. It did eventually crawl back and that's why we are long term investors. Exactly right.
But like that's 15 years. That's crazy. So now fast forward 25 years, we've got another
revolutionary tech, which was a mouthful, but that's AI with lots of excitement and some,
I would say, spicy evaluations. So the difference is, Bec, that this time it's not really scrappy
startups that are just chucking a dot-com name and just going, hey, you could invest in us with
the future. It's actually the biggest, most profitable companies already existing in the
world. It's Microsoft, it's Alphabet, it's Nvidia, and they're dropping hundreds of billions of
dollars into AI research and development and infrastructure, like very serious money.
Like they aren't just, you know, floating on hopes and dreams. And I mean, that's distilling
it down, but you know exactly what I mean when I say that. So yes, we're seeing some type of
correlation. Nvidia is down 18% this year. Tesla's been cut in half as it should be. But unlike the
dot com days these companies have real products beck real legitimate products real customers and
real revenue and you're probably going to go well is that really risky like still like you're saying
that these are real like is the risk the same well the risk is not necessarily that it's super risky
but it's that history doesn't repeat itself but it can sometimes rhyme a lot of the optimism around
to AI is still based on hopes and dreams and what it might do, not what it's doing right now.
Okay. So like we're still really optimistic about, oh my goodness, it could potentially XYZ.
So if the money doesn't start flowing soon from what's being invested by these big companies into
research and development and all of the infrastructure, I think that the market
could definitely cool off. And maybe I think the biggest takeaway we can get from the dot-com bubble
as it's called, is that the internet did change everything. Like just not in the timeframe that
everybody expected it to do. Like the right idea, I guess at the wrong time can still cost investors
a lot of money. Sure, sure, sure. So like, remember when we were younger and they were like,
the future is going to have flying cars. Like, yeah, probably. But like what is required to
create those flying cars, you know? Right, right, right. I have to really quickly be honest about
I said dot-com bubble before and I didn't know what it meant and now it keeps and I thought I'll
be able to figure it out as you talk and then I couldn't figure it out and I said it was far too
late for me I love you you are literally the best so the dot-com bubble was when the internet like
really started to launch and a whole heap of companies started launching on the internet
and people got really excited about it and started investing a lot of money into it okay because they
were like, the internet's the next big thing. And Beck, I think you and I can agree that, yeah,
the internet was the next big thing. Like it changed everything, but these companies just
existing on the internet didn't necessarily mean that they were the next big thing. Like if you,
and I'm going to distill this down really simply, like if you invested in a fashion company online
and you're like, oh my God, next big thing is the internet. And I love fashion. So I'm going to
invest in this fashion company. Like that doesn't mean it was a good fashion company. Like, yeah,
they were on the internet and if they'd made use of that opportunity and been one of the first to
market, then fantastic. They would have been really good like eBay or Amazon, but lots of companies
were jumping up and down about the fact that they just existed on the internet and they didn't have
real revenue. They didn't have real profits. They didn't have a lot of product, but they had hopes
and dreams. Gotcha. Okay. Okay. And that's what drove a lot of investment during that period of
time but that investment again was built on hopes and dreams and wishes and like wishes isn't money
so at some point when people were like hey I need to pay the bills I'm looking for this revenue now
I invested in this thing like where's the dollars people started to see that maybe they couldn't
back themselves and therefore it dropped and it crashed and reality kind of came to the table
Unfortunately, as it always does. Literally, right? So I reckon, yes, the internet did change
everything. So I guess when it comes to AI, Bec, it's not just all about betting on what we think
the next big thing is. I think we can all agree that AI is definitely one of the next big things.
It's actually about understanding whether the business model behind the thing you want to
invest in behind it is actually going to stack up. Yeah. Okay. So how do we even start like
thinking about investing in tech without getting burned? Good question because I guess tech is very
exciting and it moves very quickly. It's literally changing the way that we live and work and some of
the biggest success stories in history have come out of this sector. So I think that's why people
still talk about it so much. I think that if I said name a sector in investing, the first thing
you'd probably say is tech sector. Like easy. Like I think most people just go to that because that's
where most of the returns have come from, but it's also relatively risky. So when we're looking
at investing in tech or in AI in particular, I've got a list and I've just written it down.
So are you ready? Yeah. So there's a few things I want you to keep in mind. The first one is
hype does not equal profit. So just because you're excited about it doesn't mean they're
making money. Yeah. It's like, do you remember when I was ranting on about after pay shares
ages ago, people were like, I invested in after pay and it's just going up and up and up. And I
I was like, they have no revenue. This is going to crash. And then it crashed. And I was like,
what a surprise. That's crazy. Who would have seen that coming? But just because a company
is trending or dropping buzzwords like quantum AI cloud infrastructure, that doesn't actually
mean it's making money, Bec. They just have a fancy shiny word. So always check the financials.
Is it profitable? Does it have revenue growth? Is it burning cash? Do you know what you can do?
you can game the system. Okay. You can ask ChatGPT if a company is profitable. You can ask
ChatGPT like, can you please look at the financials and let me know if it's got year on year revenue
growth. You don't even have to look at the proper financial report. You can give the financial
report to ChatGPT and she can explain it to you. I've also decided that ChatGPT, girl. Oh yeah,
for sure. Yeah. Definitely giving female vibes. Yeah. I'm feeling that. Anyway, the next thing,
number two on my list, follow the value chain. That sounds lame, but like hear me out. Not every
win in AI is going to come from the loudest players. Yes, like Nvidia and Microsoft are in
the spotlight and have lots of money and keep throwing it at that. They're also really good
at a press release. So like when you're really good at something and you have a lot of money,
you're going to have the right amount of money to pay PR so that people are talking about you
consistently really nicely. But I want you to start looking at the software companies applying
AI in real ways, even the companies powering the infrastructure like utilities or like the chip
manufacturers. Like I think that there's probably some very real money there to be made. The third
thing I've written down, I don't think you're going to be surprised. Diversification is your
bestie. That is so true in every part of life. Yeah, literally like don't go all in on one stock.
Like how many times do I have to jump up and down about how sexy I think ETFs are? Why?
Diversification. How you would never just own one stock in general. So like if you're going
to invest in AI, why are you picking one AI stock if you think it is so important?
Let's get a bunch of them. So tech is volatile. We know that. It is the biggest loop-de-loop
ride at Disneyland. So if you want exposure to that sector, maybe consider spreading it across
a few different tech companies or maybe pick an ETF that has those companies in it or a mix of
hardware and then software and then like infrastructure place. Sure. So we're mixing
it up. We're making sure that instead of just putting flour in the bowl, we are putting lots
of different ingredients like eggs and sugar and a lot of butter because we want to make a cake,
baby. Like I don't want a bowl of flour that's been through the oven. I want a cake. Absolutely.
The fourth thing, and I only have five, so like we're coming to the end of my list,
but the fourth thing is I want you to know your strategy. Like I asked before if Beck would go
on the giant drop and she said, no, I want you to be that clear on what you would and wouldn't
invest in. So AI and tech can be classic high risk, right? High risk, high reward to play.
If you're in it for the long game and you actually believe in where tech is heading,
a little bit of turbulence just comes with the territory. Like that's how it works. But if
it's money that you need in, I would say the near future, maybe if you're like, Oh, what do I do with
my house deposit? Or I've got a wedding coming up. Should I be investing this mass amount of money?
Or maybe even your emergency fund that is not the place for this. Like absolutely not make sure that
your strategy matches your timeline and your goals and your peace of mind. Right. And then the last
thing I've written down here is not every good idea makes a good investment. And I think that
is really important to remember. Just because it's a good idea doesn't mean it's going to be
profitable. Doesn't mean that you should be investing in it. The dot-com bubble or the
dot-com bust didn't happen because the internet was a bad idea. Was the internet a bad idea,
Bec? I don't think so. I think it's pretty slay. Great idea. It happened because investors threw
a lot of money at companies that weren't profitable or proven. AI might absolutely
be the future, but it doesn't mean that every single AI stock is a good buy. Like just because
people are playing in the AI space and they're listed doesn't mean you should be buying them.
The lesson here I think is look for solid business models, not just shiny buzzwords.
Okay. Okay.
They can't just talk the talk. They also have to be walking a walk.
Yes.
If you're not making money, I'm just not that interested in you.
Fair enough.
Like low key rude, like in the share market, Bec, we're marrying rich.
Okay.
Or just the guy who looks rich.
Yeah.
Yeah.
Right?
So right.
So someone's listening and thinking like,
do I need to jump on the AI train before it leaves the station?
What do you want them to remember?
Literally all of the stuff I just said about Disneyland.
But like you don't need to be in on every single trend to build wealth.
Like if you're looking at AI and you're like, oh, this is the future.
Like, babe, their shares are still going to increase in the future
if that's the case.
Yes, you might be getting on at a different station than everybody else.
and yes, some other people might make a little bit more money than you, that makes sense because
they got on the train really early and they get a longer ride. And that's fine. That doesn't mean
your ride is any less valid. You're still going to the same destination. So I think importantly,
tech and AI can absolutely be part of your portfolio. It is just so important to make
sure it fits your goals and your timeline and what you want to do and making sure that you're okay
with the fact that you're going to have a little bit of that volatility along the way. Like it's
going to go up and it's going to go down because investing at its crux is a roller coaster. And if
you don't like roller coasters, don't go to the theme park. Fair, fair call. So I think that's
actually a perfect thought to wrap this up. So if you've got a mate who's been texting you
screenshots of AI stock charts and saying, I'm also sending my friends screenshots of stock
charts. Well, you're the problem. I'm just kidding. I am the problem. And they're asking like, you
no, should I buy this? Maybe flick them this episode instead. Oh, should I send this to
myself? You should send this to yourself. Don't get me wrong as much as I can tell you exactly
what you need to be doing. I've been down the NVIDIA wormhole. Like I go down that rabbit hole
on a regular basis and I'm like, Ooh, what's this? Ooh, what's that? I want to look. And then I send
texts to my also investing friends and I'm like, what's this look like? What are your thoughts on
it? And they think I'm Delulu and spend too long in financial reports when you could just ask AI,
but that's okay. That's a story for another day. So if you're here still, thank you. We love you.
And I adore talking about investing and giving you as much investing knowledge as possible,
but a way to get more investing knowledge is for you to hit follow and actually subscribe to our
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So obviously we have a whole heap more deep dives, financial hot takes, and all of the juicy stuff
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love those. It really helps more people find the pod and it gives us all the warm, fuzzy, cozy.
nice feelings. And on Friday episodes, I also read one of our warm and fuzzy five-star reviews to the
team. True. So feel free to stroke Bec's ego a little bit more in those. Yeah, I wouldn't hate
it. See you later, guys. Bye, guys. The advice shared on She's on the Money is general in nature
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