Motley Fool Money - Big Tech Earnings and Reckless Predictions
Episode Date: November 3, 2025Five of the Big Tech Behemoths reported last week. What did we learn and what should we expect looking ahead? Rick Munarriz, Sanmeet Deo, and Tim Beyers: - Discuss macro takeaways from last week�...�s Big Tech earnings. - Dig into the details for the unusual news in each report. - Make a few reckless predictions of what’s to come from Big Tech. Don’t wait! Be sure to get to your local bookstore and pick up a copy of David’s Gardner’s new book — Rule Breaker Investing: How to Pick the Best Stocks of the Future and Build Lasting Wealth. It’s on shelves now; get it before it’s gone! Companies discussed: AAPL, AMZN, GOOGL, META, MSFT Host: Tim Beyers Guests: Rick Munarriz, Sanmeet Deo Producer: Anand Chokkavelu Engineer: Dan Boyd Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We’re committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode. Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices
Transcript
Discussion (0)
What's the big deal with big techs?
You're listening to Potley Fool Money.
Welcome, Fools.
I'm your host, Tim Byers, and with me,
his long-term rule breakers teammate Rick Binares.
My Supernova Odyssey teammate, San Mateo.
Guys, how we feel it today?
You good?
Caffeinated, I hope?
Doing well.
Very caffeinated.
Absolutely.
Okay, very good.
Today we're looking back to look ahead with a review of last week's big tech earnings.
But first, let's start with any macro themes.
you both saw from the big tech reports.
And I'll kick us off with a couple things here.
There seem to be three big prevailing themes.
And I pulled this from our internal Alpha Sense tool,
relentless scaling of all of the AI cloud infrastructure.
So a big one on this, Microsoft will increase total AI capacity by 80% this year,
and double its data center footprint in two years.
That seems large.
A bit of legal headwinds here. Apple has an antitrust lawsuit that they're dealing with.
And then finally, capital intensity. And boy, is there a lot of capital intensity.
Amazon has a plan for 2025 cash capex guided to $125 billion. And that won't be the end of it.
I mean, really? That won't be the end of it. Rick, what do you got for me here? What's going
on here? Yes. So basically, you're having this great situation where, I mean, if you are a
big tech company, where the rich keep getting richer. You saw, continue to see the Mag 7 or in this case,
the Big Tech 5, whatever we want to call this group, continue to be outpaced the S&P 500, which itself
is outpacing the Russell 2000. So if you're an investor and you were picking like small stocks because
you thought, oh, I got to start small, that's where the money is. It's been completely different.
And you're seeing like with these big AI deals that are happening, they're just exchange.
changing money amongst themselves, but they have the means, they have the money, and they have
the resources to turn something as simple as AI years ago into something that's just basically
a monster game-changing technology today.
I mean, Sam, how do you see this looking at the big tech landscape?
What either surprised you or interested you coming out of these mess of earnings reports
last week?
Yeah, you know, so I'm kind of saying like a bifurcated economy where you have.
have, you know, these big tech companies, you know, spending a lot of money, making a lot of money,
and really pushing for this AI stuff. And they're, you know, in pretty strong positions to do so.
But then you have the consumer and consumer discretionary companies that are struggling.
You know, you had Chipotle, which is a non-tech, talk a little bit about, you know, some slowness
and some weakness with their consumer. Amazon's talking a little bit about a squeeze consumer in
their retail business. So while you have the big tech companies thriving and,
and spending, you have the consumer, you know, maybe less so thriving and spending a little less.
So big tech is big isolated at the moment here.
Yeah, can I argue, Tim, that Chipotle is a tech company because how do they roll those burritos?
There's no way all that food fits into like a rolled tinfoil, aluminum foil wrapped burrito.
I'm sorry, that's magic.
That's wizardry.
I will tell you, I think that quackamole is biotech in and of itself.
So I fully agree.
All right, let's move on to the earnings themselves.
And what we're going to do is focus on some of the outlier things that we saw in each of these reports.
And Sandme, why don't I start with you here on meta?
What really stood out for you?
You know, this, I'm really curious to dig in a little bit more on this joint venture with Blue Owl Capital.
You know, they announced that they're doing a joint venture to co-develop a Louisiana data center campus.
And, you know, some of the structure and the way they're doing this, it's going to be off balance sheet.
And that always worries me.
Yeah, seriously.
That is something that I have experienced at a prior company.
was I worked.
We had, you know, for those you don't know, I worked at Lehman Brothers,
and we had off-balance sheet mortgage companies.
So if I need I say more.
Yeah, that worked out great.
Yeah.
I hope there's less to this than it seems like this would be one of those that I'd like to
just believe that what we're really going to get is just an interesting joint venture.
But I really wish it was on the balance sheet.
All right, Rick.
Let's keep moving here and go on to Alphabet. Alphabet had a heck of a quarter. And investors
seem to like it. What did you like or dislike? Yeah, I liked the fact. So here's a fear. And I have
never shared it with you, Tim, or anyone. I sort of kept it internally because I didn't want this to
happen. But every time I'm on Google and I put out a search result, I'm starting to get these nice
AI responses, giving me the answer I wanted. So I'm not clicking on ads. I'm not clicking on
sponsored search results. I'm not clicking on anything. I'm not diving into all these companies that
invested in SEO. And I tell myself, well, Alphabet has to feel the pain. They're going to feel this
in advertising. They're going to feel this in other place. But they haven't. Again, $100 billion
quarter, a record quarter for the third quarter. And this is a year ago, there was some voting,
you know, elections related spending on the ad market that could have propped up results. But the
company's doing well. It's defying all these things. And clearly just another major player in cloud
that's really raking it in in many different levels.
Yeah, I mean, they are saying that backlog for their cloud business was up 82% year over year.
That is extraordinary.
And the backlog is apparently now 10x the current annual cloud revenue there.
So maybe we're going to see some big things from GCP here.
All right, let's move on to Microsoft, Sandmeat.
What stood out for you here?
their other income swung to a 4.1 billion dollar net loss from their stake in OpenAI.
And that was surprising.
And it's, you know, you see some of the other companies, Amazon, Alphabet, making some money from their investments in Anthropic.
Microsoft, which has had a huge stake in, you know, Open AI has been involved with them for a long time.
It's not making any money.
Yeah, I mean, it's really hard to understand what exactly is going on here.
Open AI is in full court press, spend it all as soon as we get it mode,
and that is having some tail risk, I guess, for Microsoft.
It's a bit surprising.
They also absolutely went through the roof with their CAPEX, 34.9 billion.
That was up significantly, and about 50% of that spent.
on GPUs. They have a big checkbook, and they're writing a lot of checks. But Rick, we mentioned before
we got to this section, Amazon, $125 billion. What else can we say about Amazon? I mean, this was
another amazing quarter for these guys. Yeah, and amazing indeed. And when you see, oh, 13% sales growth,
that's not very impressive until you realize that three years in a row, they've given us 9%, 12%, 11% growth.
These back-to-back quarters of 13%.
It may not seem like a lot, but Amazon is slowly gradually starting to pick up momentum.
It's like an old car.
They're just starting to pick up speed here.
And you have the case here where it's international growth.
Obviously, it's outpacing U.S. growth was 11 percent.
International a little better.
But obviously, AWS, their web hosting business, which is becoming a larger player,
growing faster than the e-commerce business quarter after quarter.
And more importantly, just margin-wise, it is such a cash cow the way it makes so much money
that it's helping the whole company. So really a dynamic quarter that really defies the seemingly
ho-hum top-line growth numbers. This is so interesting. There's two quick things on Amazon that I wanted
to add to this, Rick. I mean, you make a great point. Amazon re-accelerating is fascinating.
They also had just a, you know, we just talked about, Sammeet was talking about the OpenAI hit
to Microsoft. And Scropic gave Amazon a nine-point.
$45 billion one-time gain from revaluing that investment. That is extraordinary. Now, that was
non-operating income, but clearly the market thinks that Anthropic is a whole lot more valuable.
But the most fascinating thing I thought was that for AWS, Amazon decided, beginning January of
this year, to reduce the useful life of their servers and networking gear from six years, the
amount of time they used to depreciate their networking and server gear from six years down to five.
That is very rare. You almost always see it that those useful lives being extended, not reduced.
But that's telling you, I think, that Amazon is going to be spending a lot of money to keep refreshing
its gear. All right. So it's not just the workforce that's being reduced in Amazon.
No, not just the workforce.
All right.
All right, Sam, meet.
Take us home with Apple here.
Oh, if I may say one quick thing about Amazon that I think is sometimes under underappreciated
with the whole big tech stuff is that they're the ones that has the deepest ties to retail
and the consumer and the data that they're getting from that and the way they're piecing together
some of these different businesses that they have is powered by a lot of that.
So it's almost like the retail is like a loss leader for all the other businesses that they're doing.
I think they're putting together these pieces, and I feel like sometimes they're playing 3D chess sometimes.
I mean, you might not be wrong.
It's certainly true that they are exposed to so many areas of the economy, including to the consumer economy.
And then they're the biggest participant on the back end in this big tech, AI, cloud.
They're the biggest player there.
So they stretch all the way across that value chain.
Apple's no slouch, though.
Apple is a big, big company.
Tell me what you thought about the Apple report.
You know, Apple is, it's interesting because tariffs are going to definitely be an interesting part of their business.
You know, they do sell some of these phones.
Phones is really the biggest business.
What I worry about with Apple, which is probably a lot of people worrying about, is, you know,
they're making commitments to investments as well, but are they falling behind in the AI race?
and how are they going to be able to really capture the fact that everyone's walking around with a device that could have embedded AI that could really be powerful for them?
And it's something that they could create a service from.
Their services business has grown for many, many years.
They always had the hardware, which no one else really had.
And then they added on services, which started to really grow.
It's a $100 billion-plus annual revenue stream, growing faster than hardware.
So how are they going to, how are they going to tie everything in?
Yeah.
We don't have really good insight into what Apple is going to do to get, to get themselves
to become a major player in the AI space.
Everybody else is making really big portal investments.
And I really would have expected by now that the Apple AI portal, which really is supposed
to be Siri, would be better than it is.
but it hasn't gotten there yet.
All right.
Coming up next,
we're going to make some big tech reckless predictions.
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All right, we are back.
We're back with reckless predictions,
and we call them reckless predictions because, I mean, we don't know.
We make predictions, but we don't know.
I mean, we're basing this on what we can see
and what we can observe at the moment.
And the whole point of making reckless predictions,
and before I go to you on this, Rick, I'm going to kind of tee it up this way.
The point of making a reckless prediction is to give yourself a frame for how you're going to look at a market.
That's what you do a reckless prediction for.
So you kind of have a sense of what you're looking for.
And then when your reckless prediction goes wildly wrong and you see how it went wrong,
then you start learning things.
So it isn't the, it's great when we're right, but it's also okay.
when we're wrong. So, Rick, with that, you know, you don't have to be exactly right here, Rick,
but give it to me. Go crazy. What's your reckless prediction here?
All right. I'm going to make a prediction that may not seem so reckless, but then I'm going to, you know,
embed kind of a deeper prediction within it. And I think that the Mag 7, which is six tech stocks
and a car driving stock that has a high in tech. So it's almost a big tech index. All five
talks, we talked about are part of the big mag seven, will be no more within the next.
next three years. And to me, this is an easy prediction because I remember when Fang was a thing,
and then Facebook changed its name, and then Google changed its name, the letters didn't work.
And then the end, you tell someone that wasn't around 10 years ago and Fang was a thing,
they may say, oh, and it's Nvidia, no, it's Netflix. So everything changes over time.
And I think you're sort of seen that with the Mag 7, that it's this whole kind of thing that
eventually it's not going to be seven. It'll be a smaller number, a different number.
But my bigger prediction within that is that I think within five years, there is going to be a major
player in AI that isn't even on anyone's radar right now. And no, I don't know who that is. I'm going
to take the easy road out. But I see already that you're seeing, I mean, Nvidia, they have sort of an
ASML-esque lead in AI, so I'm not going to say someone's going to topple them. But I think
there'll be a major player then. You're sort of seeing it happen just this past year alone. The reason why
a Chinese stock site, like Alibaba and Baidu are doing so well is because they become, they're filling a void in
China of these AI chips and data centers that needs to be built out while there's trade tensions
happening with the U.S. market. Not that I think one of these two will be the big leader,
but it wouldn't surprise me of either an international name or maybe an unlikely name that just
has to have a lot of resources, maybe even the Apple that we were sort of ridiculing earlier
on its inability, inability to make it happen, that it's now even part of that Google Pixel 10
ad where it's like it's the Beneloff Pro and they're making fun of it for not being able to have
a good, you know, AI interface, maybe Apple becomes that major AI play. But I think it'll be
unexpected and I think it'll happen in the next five years. I like it. All right, Sam, meet. What do you
got? All right. I think I have one that might be coming out of nowhere. So I talked a little bit about
the bifurcated economy. You have the tech companies with their cloud businesses and their corporate
business, AI businesses doing well. Then you have cautious retail. So one of those, which you have
Amazon, I think they're about to unify both of those through their,
long-running joke of a cash burning business, Alexa, which they're rolling out Alexa Plus,
which are they're calling Ambient AI strategy. I think that might be successfully bridging the gap
between consumer enterprise businesses where AI will start managing users' homes, order their groceries,
book their services, all powered by like AWS AI. And it kind of creates a kind of a new brand new,
high margin subscription and services layer that'll kind of become Amazon's next.
little big line of business, and they could help them get it to a valuation of $4 trillion.
Okay. All right. That is a big prediction. All right, mine may be fairly small then in the grand
scheme of things here. I'm saying big tech R&D expense will start to scale faster than
CAPEX in the next three years. And just to put that in perspective, there are companies that have
been nearly doubling their CAPEX over the past couple of years amongst these big techs.
Like, it has been outrageous. Alphabet, for example, I think was over 80%. Just ridiculous.
But I think the reason for this is simple. At some point, there's going to be a more pressing need
for software-driven innovations in a number of areas. A lot of lower-level code work is going to be done
with AI assistance, but experienced developers are going to get heavily involved, and they will be paid
handsomely for the work. My embedded reckless prediction here, which I don't think is really all that
reckless, but Distinguished AI Engineer is going to become a common title amongst Silicon Valley's
big tech elite. If you've been around Silicon Valley and you know anything about that culture,
distinguished engineer is something that like, that is the title. If you are a techie in Silicon
Valley, becoming a distinguished engineer at one of those big companies, I think Distinguished AI
engineer is going to become a serious thing and it's going to pay a lot, a lot of money.
All right, coming up next, we're going to preview tomorrow's show.
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All right, coming up tomorrow, you will have Emily Flippen, Jeff Santoro, and Jason Hall
talking about reformed rule breakers. How about that? I mean, I'm fascinated by that title already.
So Jeff and Jason and Emily are going to be doing an earnings roundup. It's going to be a focused
on these reform rule breakers, three different earnings takes for Spotify, Shopify, and a third
mystery stock that we're going to let you tune into the show to get the reveal.
But be sure you tune in tomorrow for Emily, Jeff, and Jason.
And thank you for tuning in today for our big tech earnings review.
Thanks to my friends, Rick and Sandmeet.
As always, people on the program may have interest in the stocks they talk about.
And the Motley Fool may have formal recommendations for or against.
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For Rick Binares, Sanmeteo, our engineer is Dan Boyd and our producer, is Anan, Chuckaulu,
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