Micron Revenue Smashes Expectations, but Wall Street Yawns

Summary

Motley Fool Money – Episode Summary

Episode: Micron Revenue Smashes Expectations, but Wall Street Yawns
Date: March 19, 2026
Host: Tyler Crowe, with Matt Frankel and John Quast

Episode Overview

This episode dives into Micron's blowout earnings and why Wall Street’s response was unexpectedly muted. The hosts also dissect a major new deal between Uber and Rivian in the autonomous vehicle sector and scrutinize Alibaba's bold AI revenue ambitions amid unspectacular financials. The recurring theme is how transformative AI continues to reshape industries, from semiconductors to ride-hailing to global cloud services, and what all this means for investors.

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Key Discussion Points & Insights

1. Micron’s Stellar Quarter Meets Investor Apathy

• Micron’s Numbers:
  • Revenue almost tripled YoY to nearly $24 billion, beating expectations by $4 billion.
  • Earnings similarly trounced forecasts.
  • Gross margin doubled to 74%, a rarity for a mature company.
  • Forward guidance: Q2 projection at $33.5 billion, surpassing consensus by a massive margin. (01:10)
• AI Infrastructure Surge:
  “Companies like Micron can't produce memory fast enough to keep up with demand of this AI infrastructure development.” – Matt Frankel [01:10]
• Supply Tightness:
  Even so, Micron could only supply 50–66% of customer demand.
• Stock Reaction:
  Despite “otherworldly” results, the share price dipped 2.8% during recording—partly due to broader macroeconomic concerns and possibly skepticism over future cyclicality. (02:31)
• Market Skepticism or Just a Brief Pause?
  “I think what we have here is a great quarter, guidance was otherworldly... I think the analyst community is gonna pause, take a deep breath and then start revising its earnings assumptions higher.” – John Quast [03:11]
• Industry Cyclicality vs. ‘This Time is Different’
  • Traditionally, memory chips are a boom/bust sector.
  • Shift: Micron is negotiating new “strategic customer agreements” extending up to 5 years—unusual for the industry, possibly heralding more predictable cycles thanks to AI-driven demand. (04:42)

Notable Quote

“The difference here is that the strategic agreements have specific commitments tied over multiple years. This is giving Micron more visibility... It just signed its first five year deal. It's never done that before.”
– John Quast [04:42]

• CapEx and Risk Concerns:

  • Micron is ramping up capital investment, including a $100 billion campus.
  • While current demand is sky-high, overshooting with new capacity remains a risk if demand plateaus. (05:58)

• Memory Pricing Power:

  • NAND memory prices up 80% YoY; improved margins come from higher prices, not just unit sales. (06:49)

• Potential for Sustained Demand:
  Growth levers like autonomous vehicles could require huge memory upgrades (“Level 4 autonomy will need 19x more memory per car than Level 2”—from 16GB to 300GB DRAM). (07:20)

Notable Quote

“Micron's management pointing out that for level two autonomy, your cars today basically need 16 gigs of DRAM. Level four is going to require 300 gigabytes.”
– John Quast [07:15]

2. Autonomous Vehicles: Uber & Rivian’s Deal

• Deal Overview:
  Uber and Rivian announce a partnership for up to 50,000 fully autonomous, all-electric Rivians on Uber by 2031. The first 10,000 (Phase 1) roll out in SF and Miami by 2028; expansion to 25 cities for the rest. (11:59)
• Comparison to Tesla:
  Execution targets are more realistic (e.g., Tesla's missed “one million robotaxis by 2026” promise).
• Why Uber & Rivian Need Each Other:
  Rivian gains distribution and guaranteed orders; Uber secures an exclusive ride-hailing edge for these vehicles. (12:30)
  • “If you're a Lyft shareholder like I am, you're not going to see Rivians on Lyft. It is exclusively going to be on Uber.” – John Quast [13:46]
• Uber's Broader Strategy:
  Uber isn't betting on just one partner—also connected to Lucid (20,000 Gravity SUVs), Stellantis, and others, trying to control both vehicle supply and the tech ecosystem needed for autonomy. (15:00)
• Broader Industry Take:
  Other players: Tesla (vertical integration), Waymo (Alphabet), and others are carving out different, often mutually exclusive, paths in the autonomous space.
• Investment Outlook:
  • John remains bullish on Lyft as a platform beneficiary for future robo-taxi fleets and notes Lyft’s platform flexibly pivots to fleet management.
  • Matt holds investments in AMD (AI/auto chips), GM, and is intrigued by Lucid’s product but questions its financial viability. (16:47–17:49)

Memorable Moment

“Even if you are an autonomous taxi, you're going to still need things maintained. You're going to need your tires pumped up... cleaned out and vacuumed. So there is a need for autonomous fleet management, and Lyft already has a business segment to address that.”
– John Quast [17:22]

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3. Alibaba’s $100 Billion AI Ambition

• Earnings Snapshot:
  • Shares fell ~6.7% after earnings.
  • Core e-commerce is sluggish; cloud and AI segment is the growth driver, up 30+%. (21:25)
• AI Revenue Goal:
  Management aims for $100 billion in annual cloud and AI revenue within five years—a moonshot.
• Is It Achievable?
  • “Alibaba is not most companies of the world... It is one rare, rare company that does a whole lot of things at scale... almost like Amazon and Alphabet combined, really in China.” – John Quast [21:25–22:20]
  • Yet, capital outlays are steep ($50 billion CapEx over three years), and current results lag US hyperscalers: Q4 revenue up just 2%, net income dropped by two-thirds. (22:47)
• Valuation Implications:
  With Alibaba trading at 17x earnings, the market is not pricing in the optimistic $100B scenario.
• Global AI Investing Outlook:
  • Matt: Prefers US-based companies with substantial international footprints (AMD, Amazon, Alphabet); is wary of overseas investments due to complexity and insufficient knowledge.
  • John: Echoes similar caution—prefers sticking with what he knows (mostly US companies).
  • Both hosts stress the importance of understanding local risk factors and business climates when venturing abroad. (25:05–26:24)

Notable Quote

“There are loads of opportunities in every corner of the market ... but trying to go to places that we may not necessarily understand as investors could get us in trouble. Sometimes sticking to what you know can be rather helpful in building a successful investing strategy.”
– Tyler Crowe [26:24]

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Timestamps of Important Segments

| Timestamp | Topic | | -------------- | ------------------------------------------------------------------- | | 00:20 | Show introduction and episode overview | | 01:10 | Micron’s earnings blowout, AI-driven demand | | 03:11 | Wall Street’s muted reaction to Micron, discussion on cyclicality | | 04:42 | “Strategic customer agreements”—shift in memory chip industry | | 05:58 | Capital expenditure risk, demand sustainability | | 07:15 | Memory needs for autonomous vehicles (16GB → 300GB per car) | | 11:59 | Uber–Rivian autonomous vehicle deal details | | 13:46 | Partnership exclusivity and implications for Uber/Lyft | | 15:00 | Uber’s broader autonomous strategy: Lucid, Stellantis, Nvidia | | 16:47 | Investment perspectives on Lyft, Lucid, GM, AMD | | 21:25 | Alibaba’s AI/cloud revenue ambitions; earnings context | | 22:47 | Capital requirements, comparison to US cloud peers | | 25:05 | International vs. domestic AI investments; investor philosophies | | 26:24 | Importance of “sticking to your knitting” as an investor |

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Closing Takeaways

• Micron’s Success and the Memory Market:
  AI is driving unprecedented demand for memory chips, but investors remain wary due to historic cyclicality and new operational risks from massive capacity expansion.
• Autonomous Vehicles, Realistic and Otherwise:
  Uber, Rivian, Lucid, and their ilk jockey for long-term positioning. Realistic timelines and platform control are emerging as the rational play, compared to past industry hype cycles.
• Global AI Investment Perspective:
  Alibaba’s AI/cloud dreams face a tough macro and competitive landscape. US investors, even those with international curiosity, are sticking mostly to familiar ground, citing complexity and the necessity to have deep local awareness.

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Final Thought:
While AI is supercharging traditional industries and exciting new business models, investors should balance an appetite for bold narratives with diligence about business cycles, capital allocation, and their own domain of expertise.

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Transcript

[A]

Foreign.

[B]

Wall street has big expectations for memory chips. Now this is Motley Fool Money.

[A]

Welcome to Motley Fool Money.

[B]

I'm Tyler Crow and today I'm joined by longtime folk contributors. Matt Frankel and John Quast are quite a few subjects we're going to talk about. We're going to jump into taking the pulse of the autonomous vehicle landscape with a recent deal between Uber and Rivian. We're going to take a look at Alibaba's earnings and some ambitious AI targets they're putting forward. But first, we're going to jump into Micron's most recent earnings and some really big numbers that didn't seem to impress Wall street that much. The company announced earnings after the close yesterday. And Matt, is the numbers for the earnings announcement itself. It's kind of hard for me to come up with a word to capture how much the company beat earnings expectations. Put some numbers behind what we were seeing this most recent quarter.

[C]

Yeah. Well, in simple terms, companies like Micron can't produce memory fast enough to keep up with demand of this AI infrastructure development. Micron's CEO said that the company was only able to produce 50% to 2/3 of of what its biggest customers wanted during the quarter. AI chips need a lot of memory, plain and simple. In the quarter, Micron's revenue nearly tripled year over year. And you're right that the term blowout quarter doesn't even do that justice. You know, the company's revenue was almost $24 billion and beat expectations by nearly 4 billion. Earnings beat expectations by a similarly wide margin. Gross margin doubled to about 74% year over year. A gross margin doubling for a company this mature is pretty unheard of. The pricing power that it's getting due to the supply, demand and balance is certainly a wonderful thing. The guidance was an even stronger beat. Analysts were looking for $24.3 billion in the current quarter, the one we're in now, and the company guided for $33.5 billion. That's like almost a 50% margin. This might not be too much of a shock if you're. And it doesn't look like it's that much of a shock to a lot of investors based on the stock price action. If you've been following some of the capex projections of the big tech players, but it's really tough to overstate how strong the AI infrastructure investment surge is making Micron's business.

[B]

You hinted at it a little bit here, John, I want to get to you. Even though the company reported earnings that were Indeed impressive. The Stock's down about 2.8% as we tape. And some of that may be broader market vibes. There's concerns, concerns about whether the Fed's going to increase interest rates in the near term future. There's the conflict in the Middle east driving up oil prices. So there's vibes a little bit we could talk about here. But then it's also Micron's expectations maybe. I mean, was there anything in the conference call or guidance that stuck out to you that may explain the market's kind of meh reaction? Was it the Capex numbers that Matt was insinuating?

[A]

I don't know if it's that. Honestly, I wouldn't be surprised if Micron stock is actually up by the time that this airs. It's already recovered quite a bit from its early morning low points. I think what we have here is a great quarter guidance was otherworldly. I mean, just to put some the guidance in perspective for the upcoming quarter, it expects to generate as much revenue as it has in every other year of its existence, minus last year. So it's next quarter is going to be a good year by Micron standards. That's what we're looking at here. I think what we're gonna see here is the analyst community is gonna pause, it's gonna take a deep breath and then it's gonna start revising its earnings assumptions higher. And when that happens, I bet that Micron stock will actually retake some lost ground here. I think the important context is to remember it's still up more than 300% in the last year. So you know, a little bit of a cooldown after reporting earnings isn't a surprise at all. But here's the thing that is really very interesting for Micron and memory stocks generally. I know it's dangerous to say it's different this time. Memory has historically been prone to boom and bust cycles. Right now we're seeing a boom. Matt pointed out that it just simply can't make enough stuff. There are some things here that lead me to believe that it may be actually different this time with the memory market, AI may have changed this. So for example, Micron's management pointed out that it used to have some long term agreements in place with its customers, but now it's working on something different called strategic customer agreements. The difference here is that the strategic agreements have specific commitments tied over multiple years. This is giving Micron more visibility, more ability to predict its business into the future than it ever has. In fact, it just signed its first five year deal. It's never done that before. When you look at past boom and bust cycles in the memory space, normally it's a three to four year cycle and now you have a five year deal in place. This could be the first of many five year deals. AI may have made memory more reliable as a category.

[B]

There's part of me that says I want to create like a swear jar, but instead it's the, it's different this time jar just to, you know, keep us in check when it comes to things like this. And after saying that, just thinking out loud here, you know, its planned CapEx budget was pretty ambitious. These guidance numbers look pretty good. You're talking about strategic commitments. But yet I'm looking at this market reaction kind of meh. And I'm wondering if a little bit of this is going back to the cyclicality of this industry. If analysts are kind of looking at this and saying you're overshooting future demand with this ambitious growth, is that the sentiment that the market's signaling here or am I just kind of like getting caught up in a one day market reaction?

[C]

I'm not sure if it's so much you're overshooting future demand. As demand is going to eventually run out, there's this big surge in AI investment that's going to continue for a few more years. We see big companies putting hundreds of billions of dollars behind what they're doing. But Micron spent boosting their construction spend by $10 billion over what they previously expected. They're currently building a $100 billion campus in New York. And to be fair, if it can only fill half of customer demand right now, and customer demand is expected to continue to rise for a few more years, there's the case that they'll be able to fill that square footage very easily and it'll be money well spent. But this does add a big element of risk. Like you don't want demand to run out and you have an empty $100 billion building eventually. So it does add an element of risk. And I think that could definitely be weighing on the stock, just like we've seen with some of the other big tech companies.

[A]

Yeah, I think that Matt's point earlier about the gross margin doubling year over year, that doesn't happen usually in businesses. And it's happening here. You look at the memory prices. So the solid state NAND memory, the prices there up nearly 80% year over year. Okay. So basically it's selling out what it has at great prices. It's not necessarily Selling a ton more stuff. The stuff is just selling at much higher prices. And that is great for margins, that's great for shareholders. It is a bit of a risk. If you do eventually build up more supply capacity and simply then match demand, you might have a margin hit and that is something to watch. However, there are some things that can keep driving demand higher over the long term. We're going to talk about autonomous vehicles here in a moment, but just as one example, micromanagement pointing out that for level two autonomy, your cars today basically need 16 gigs of DRAM. Level four is going to require 300 gigabytes. That's a 19 times increase in the memory necessities for a level four vehicle. Multiply that by the number of vehicles on the road with level four someday, yeah, they're is going to be much higher. Need for memory in the future Getting

[B]

more and more fascinated by the memory chip industry based on what we have seen historically. I mean this is a company that's trading for 21 times earnings even though it's up 300% over the past couple of days. Historically this has been one of the more commoditized size of the chip industry compared to like CPUs or GPUs, it's been a boom or bust and it's clearly having a moment in the sun right now. Again, we're kind of touching on this, but I really want to put a stamp on the idea is Micron and memory chips, is this going to have lasting growth beyond AI infrastructure and perhaps a surge in autonomous vehicles? Are we just looking up at another up and down wave and it just happens to be amplified this time around?

[C]

There's certainly no sign that demand is going to slow down anytime soon, I'll say that much. Now, as I kind of alluded to in the last section, I don't think AI infrastructure investment can just grow exponentially forever like it has. And memory is a more vulnerable part of the chip industry to supply and demand dynamics than like you said, CPUs and GPUs. And I'm personally playing that side through my portfolio. AMD is my biggest, what I consider my biggest AI investment, so I'm playing that side of it.

[A]

Just to throw out another name here, I would keep an eye on asml. This is the company that makes the very expensive lithography machines that use ultraviolet light. Micron points out that next generation memory increasingly needs these EUV machines. And ASML is a, it's not quite a monopoly, but it is a very strong player in this industry. And so I don't know, if you look at Micron and others ramping up supply, it would stand to reason that ASML machines are going to be in strong demand as well.

[B]

Coming up after a break, we're going to take a pulse of the autonomous vehicle landscape.

[D]

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[B]

Quince.com Motley infrastructure isn't the only major race related to AI. Autonomous driving is being unlocked with AI capabilities and we're seeing companies scramble to become major players in the industry. Depending on who you ask, right now Uber Technologies is either an autonomous driving loser based on its current business model, or perhaps a hidden winner because of the platform that it's already built and the network effects that it could use to implement AI. Now, earlier today, the company announced that a deal with electric vehicle maker Rivian to supply Uber with its newest R2 model vehicle. John, you read through the the announcement, kind of getting a pulse of this. What are the details of the deal and what are your thoughts?

[A]

Well, if everything goes according to plan, we could see 50,000 fully autonomous Rivians on the Uber platform by 2031. Basically, there are 10,000 vehicles that are maybe you could call that phase one of the plan. There's a $300 million investment here from Rivian and its fleet partners to purchase some Rivians, hopefully deployed in San Francisco and Miami by 20. And then if things are going well, it can be expanded to 25 cities by 2031. And that's a 40,000 additional for 50,000 total. You know, and you look at that 2031, 50,000 vehicles. I think this is actually a far more realistic timeline of a autonomous taxi rollout than what we have seen in the past with some other players, specifically Elon Musk and Tesla. You know, Musk has promised a million, I believe, a million fully autonomous Teslas on the road this year. And I think it's pretty clear that we're not going to be anywhere close to that by the end of this year. Uber and rivian promising just 5% of what Tesla's promising, 5% of a million by 2031. So five years from now, that is probably more directionally correct when it comes to this big scale rollout. I think that the reason that Rivian has made this deal, this is actually kind of a big deal. I think Rivian needs the distribution, if you will. When you think about the future, let's say that the future of taxis is fully autonomous. I can see many people knowing the Tesla brand and going to the Tesla brand for a Tesla Robotaxi. It makes more sense to me for a Rivian to be on a third party platform. I think it's going to need that third party platform to stimulate enough demand for its own vehicles. Also willing to point out, and it's important to point out here, that the partnership is exclusive. So if you're a Lyft shareholder like I am, you're not going to see Rivians on Lyft. It is exclusively going to be on Uber. I think that that is worth talking about because if you're a third party platform such as Uber or Lyft, you want to lock down the supply of autonomous vehicles on your platform. And so Uber's able to get one of the players here and hopefully Lyft is going to be able to score some as well in the future.

[B]

Coming in from the other side, I can see why Rivian would be interested. And shares are up 4.2% as we're taping it, is trying to scale up production of this newer R2 vehicle, which is a lower priced offering that they've had so far. And pledging a certain amount to Uber gives it some sales like you could call it a floor on sales that aren't necessarily at the whims of the consumer and the ups and downs of consumer trends. And things like that, but specifically to Uber. As you said, it's an exclusive deal. It's, you know, 10,000 in a couple of years, 50,000 by 2031. Matt, as you're looking at this from Uber's strategy, what are you seeing here?

[C]

I like what John just said, that Uber's trying to control the supply of autonomous vehicles. And what I mean by that is this is an exclusive deal in the sense that you'll only find Rivian's on Uber's platform. It's not exclusive the other way around. Uber actually has deals with several other manufacturers, including Lucid. They have a deal for 20,000 Lucid Gravity vehicles. That's the Lucid's SUV that will be on Uber's platform. There's talk that they're going to expand that even further to Lucid's smaller vehicles when they come out. It's got a partnership with Stellantis, which is the parent company of like Chrysler and Jeep and all that. And it's kind of a three way deal between them and Uber and Nvidia because they want to not only control the supply of the cars, they want to control the whole tech stack, the software development, the hardware development, and really have a leg up when it comes to that. So it feels like their strategy is to be a Tesla competitor rather than anything else. Rather than thinking about competing with Lyft or anything like that, they want to be the number one.

[B]

John, you mentioned earlier, Tesla, which is carving its own path with not a lot of partnerships, China doing it all on its own and putting out some ambitious numbers. We have Alphabet with its, Waymo, have some services in a couple of cities now. They're expanding services. It's growing at a pretty decent clip. And then we have another handful of private and public companies really looking to stake their claim on this burgeoning industry. So as you both look at the industry in general and whether it be Uber, Tesla or whoever, you see what companies stand out to you today in particular as compelling investment opportunities. And you know, to be fair, I'm not going to hold it against you if you're kind of sitting on the sidelines and seeing how it all shakes out.

[A]

Well, I'm certainly biased here as a shareholder, but I do still like Lyft. I think the majority, let's, let's just assume we go fully autonomous in the future with taxis. I think the majority of the autonomous taxis will live on these third party platforms. Tesla maybe being one of the exceptions there. But as is, Lyft generates great cash flow it has a very strong and growing user base. I think that it's going to be able to get some autonomous partners that are going to supply their vehicles onto its platform in the future. And also this is something that a lot of people don't realize. It has a business segment for managing autonomous fleets, and so it's ready to pivot that direction as needed. And so I think that we forget that even if you are an autonomous taxi, you're going to still need things maintained. You're going to need your tires pumped up to the right pressure. You're going to need the vehicle cleaned out and vacuumed. So there is a need for autonomous fleet management, and Lyft already has a business segment to address that.

[C]

With Robo Taxis, I'm still mostly on the sidelines, but to be fair, I'm a little biased because I live in a rural area that doesn't even really have Uber yet. So I'm not a big consumer of the product, but I do invest in autonomous vehicles indirectly. And autonomous vehicles, by the way, it's a much broader category than Robo Taxis. It could mean just autonomous driving systems that you own. GM is one of my largest investments. AMD is a big investment of mine, and they have autonomous vehicle chips. Lucid is kind of interesting to me. I think its product is generally superior to the competition. But as I've said before, a great product does not always make a great business, and I really struggle to see a path to profitability even with these Robo Taxi deals. The economics of Lucid's business have been horrible since it went public, and I need to see that change before I get really interested.

[B]

It'll be interesting to see how these partnerships shake out, especially with these newer EV companies and whether or not they can actually deliver on it. Part of me even wonders too, like, is Uber going to be absolutely heartbroken if, say, Rivian isn't able to deliver these, or Lucid or something like that. So, just something to think about as we watch the autonomous vehicle market over the next several years. After the break, we're going to look at potential AI investment opportunities overseas. And looking at Alibaba in particular.

[E]

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[B]

narrative in AI is steeped in a little bit of nationalism and international competition, if you will. You know it, you know, you hear the things in financial media or broader media outlets says the US needs, needs to win the AI race. But you know, as investors, there isn't anything necessarily stopping us from investing in overseas AI. Which brings us to Alibaba. Shares are down about 6.7% as we tape today after the Chinese e commerce giant reported earnings. Now the earnings numbers are kind of blah and I think that's been a story for a while now. But what stood out more than anything else was management's target was it wanted to boost cloud and AI revenue to $100 billion in five years. Now we've seen some rather ambitious growth plans out there related to AI. We were just talking about Micron at the top, but most of that has been for building the infrastructure and a little bit less about monetizing the actual use of AI. So a plan to monetize AI at a hundred billion dollar a year plan sounds ambitious. Now John, Matt, was there anything in the earnings conference call that suggests it can get there?

[A]

Well, I'd say it's ambitious for most companies of the world. But Alibaba is not most companies of the world. It is one rare, rare companies out there that does a whole lot of things at scale. I mean, you mentioned maybe the growth number top line headline wasn't so impressive. It does a lot of things. It has an E commerce business that's kind of growing along at a midly pace. But the AI business, specifically the cloud business, up over 30%. And so there's your growth engine right there. It is one of the few companies not just in China, but in the world that really does it all when it comes to AI. So it has the data centers, it makes the chips, it trains, trains the AI models and it has consumer and enterprise customers at scale. It's almost like Amazon and Alphabet combined, really in China. Its distribution is incredible. You look at its, it's either Quen or it might be pronounced Chi Wen. Forgive me, I'd ask my listeners to forgive me here. I'm not fluent in Chinese. I think it's Qiwen. This App has over 300 million users. That's one of the largest apps in the world and most of us have never heard of it.

[B]

So.

[A]

So it does have this incredible business and it is leaning into AI very heavily. So it's not so outrageous for a company such as Alibaba to say that it can get to 100 billion in five years.

[C]

To answer your question, Tyler, I think within the earnings report I see an uphill battle here. So it's going to take a big capital outlay to get there and the near term results are going to continue to suffer. And they don't have the, the rapid growth of some of the companies. John just mentioned Amazon and Alphabet. They don't have the rapid cloud growth and things like that. Revenue grew by just 2% year over year. In the latest quarter, their net income fell by two thirds year over year. They're investing a lot of money. They're pledging over $50 billion in CapEx over the next three years, which might sound low compared to what some of these US companies are putting out. But it's a lot of money for Alibaba and things are going to have to go very well in order to achieve a decent ROI on that investment. Like I said, I see hill battle

[B]

here and this is what kind of makes it interesting as you guys both framed it here. The trajectory of Alibaba has sort of waxed and waned in years. You know, even though it has a lot of the qualities of some of the Mag 7 companies. You know, you mentioned Amazon, Alphabet kind of wrapped into one with even some other components as well. Its financial results don't resemble anything that we've seen from the MAG7 in recent years. Ever since 2023, revenue growth has been in the single digit range and, you know, AI could be a catalyst. We'll see. But it does look like it would take quite a bit to turn this company around here. Now, certainly Alibaba's stock is only trading at 17 times earnings. So it suggests investors may not necessarily be buying this growth to 100 billion in AI and cloud yet. But my question to you is a little broader. There are a lot of AI companies outside the United States looking to tackle this market, Alibaba being one of them. With its up and down financials, the possibility maybe not being as strong as some of the Mag 7 or other hyperscalers we're talking about. So as investors yourselves, are you looking for opportunities where valuations could be cheaper, like in this international market of AI LLM producers? Yet we have like Mistral AI in Europe, although they're not public yet, Alibaba being one of them. Are you looking at opportunities like this or are you just kind of say draping yourself an American flag while you make AI investments these days?

[C]

Yeah, I'm pretty much staying domestic. That's not to say I'm going to invest in the OpenAI IPO or anything like that, but there's a big asterisk on that because the stocks in my portfolio that I consider to be real AI plays, amd, Amazon, Alphabet, they all have a pretty big international presence already. I'm investing in domestic companies, but they definitely have global opportunities.

[A]

I think that Alibaba is actually pretty exemplary of my thinking and it can look like a great investment opportunity, but there are things going on at a local level that I need to understand if I'm going to invest in it. And it can be found out, it can be discovered what is going on in China, what is going on in many of these other international markets. I don't personally have the energy to. And so that's why I'm not investing in many international companies. I have plenty in the USA to keep me busy when I'm trying to find things to invest in for the long term. I know that that sounds naive. I know that I'm probably missing out on some great long term opportunities, but personally I like to stay about 90, 95% invested in the USA. That is what I know, that is what I have. Everything that it takes, all the time I have just to research what is right in front of me. So that's what I stick with.

[B]

Yeah, there's a good lesson there in, I would say like sticking to your knitting because there are loads of opportunities in every corner of the market, whether it's it be domestic international industries we don't understand, but trying to go to places that we may not necessarily understand as investors could get us in trouble. So sometimes sticking to what you know can be rather helpful in building a successful investing strategy. As always, the people on the program may have interests in the stocks they talk about, and the Motley fool may have formal recommendations for or against. So don't buy or sell stocks based solely on what here. All personal finance content follows Motley fool editorial standards and is not approved by advertisers. Advertisements are sponsored content and provided for informational purposes only. To see our full advertising disclosure, please check out our show notes. Thanks to our producer, Dan Boyd, and the rest of the Model Script fool team from Matt, John and myself. Thanks for listening and we'll chat again soon.