SpaceX is seeking $40 billion in financing to build massive data centers, a move that raises financial and feasibility concerns amid rising bond market risk and skepticism over its valuation. Despite strong market sentiment and Elon Musk’s visionary appeal, the company’s debt load and lack of proven profitability highlight structural risks. Meanwhile, a growing awareness of the “annoyance economy”—where companies deliberately make customer service hard to save costs—has prompted state-level regulations requiring faster human responses and easier cancellations. These regulations, while promising, face limited federal enforcement. On a separate note, OpenAI has published groundbreaking math proofs, including potential solutions to long-standing problems like the Riemann hypothesis, which excites the academic community but raises doubts about the viability of its business model, given its significant losses and lack of revenue. Overall, the episode underscores how financial markets, investor sentiment, and emerging tech ventures are shaped by both bold ambition and underlying uncertainty.
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Welcome to Profiteer Markets. I'm Ed Elson. It is October 8th.
Let's check in on yesterday's market vitals.
The major indices fell from record highs as bonds sold off again.
The yield on 10-year treasuries hit a new 24-year high.
Intercooled off following a 10-year note auction that drew solid demand.
Meanwhile, minutes from the latest Fed meeting showed another rate hike is likely this year,
though it may not come until December.
And finally, Brent crude remained elevated around $101 per barrel.
OK, what else is happening?
Four months ago, SpaceX raised $86 billion from its IPO.
Now it's looking to borrow even more.
On Tuesday, the Financial Times reported,
"SpaceX is seeking $40 billion to buy NVIDIA chips, $30 billion will come from investment-grade bonds, and the other $10 billion will come from bank loans."
Reportedly, the investors pitched on this deal got a two-page memo, which showed pictures of outer space with an arrow pointing to data centers, quote, "somewhere in the universe."
This is not the first time that SpaceX has borrowed big.
Less than two weeks after its IPO, SpaceX sold $25 billion worth of chips.
This is the first time that SpaceX has borrowed $35 billion worth of bonds to investors, which now trade at $0.85 on the dollar.
Still, the stock has been on a tear this month.
SpaceX shares are up about 12% over the past week.
Yesterday, the stock closed down 2%.
OK, here to break it down, we're speaking with John Foley, head of the Lex column at the Financial Times.
John, thank you for joining us on ProfitGMarket.
So SpaceX wants to borrow $40 billion.
Kind of crazy.
Considering they raised $86 billion just four months ago, then right after that, they issued another $25 billion worth of debt.
And now they're saying, that's not enough.
Now we need more.
Now we need $40 billion.
Let's just start with your initial reactions.
Well, SpaceX already has quite a bit of cash on its balance sheet because it did this IPO.
It raised debt shortly afterwards.
It has something like $90 billion.
But what Elon Musk wants to do is build, he says, 10 gigawatts worth of data centers by the year.
And that's the end of next year because we measure these things in gigawatts.
And a gigawatt costs very rough numbers, about $50 billion to build.
So that would be $500 billion.
So unsurprisingly, he needs more money with which to do that.
So it's not totally surprising that he's now coming to the market and saying, can I have some more money?
He absolutely needs that and much more if he's going to meet his goals of data centers on Earth, in space, or anywhere else in the universe.
So $500 billion, I heard that correctly, right?
That's how much he would need.
To raise in order to achieve those goals.
Yeah, that's like taking a very rough $50 billion for a gigawatt worth of data center and his plan to build 10 gigawatts by the end of next year.
So I guess the question, and this seems to be reflected right now in the bond markets right now, especially the credit default swaps markets, which is like, where is the money going to come from?
And this is something that we had been talking about when they first went public, which is that in order to keep up with their extraordinary. extraordinary costs, they're going to have to raise huge amounts of money.
We're already starting to see signs of it.
They raise the IPO money, then they go and issue the debt.
Now they want to issue more debt.
And I guess the question is like, how are they going to keep doing this?
I mean, if they're not generating the profits, do they just raise half a trillion dollars worth of debt?
So that is the very important question, is how are they going to pay for all this?
How are they going to service this debt?
Of course, they do want to make profits.
But SpaceX is already making a profit from its connectivity business from Starlink.
And the idea is supposed to be that because data centers are in such hot demand that you can get your investment back very quickly.
So the CFO of SpaceX said quite recently that they can get payback on a data center investment in less than a year.
So if that remains true, then as you're building data centers, you're also renting them out at high enough rates that you can make your money back.
Of course, the question is, can you actually build them?
In time, what happens to the price of data centers in the kind of rental market in the meantime?
But Musk's bet is that he can do this faster than anyone else.
So while everyone is scrambling to find space in data centers, he'll be able to bring his online and he'll have no problem.
This is what investors are being asked to believe in renting those data centers out at very high rates to people like Anthropic, to Google, to anyone else who needs them.
The idea is building data centers quickly, but also the idea is putting data centers in space.
And to me, those two things seem to be completely at odds with each other.
You can tell, I mean, you can see my prize.
I think that this is a little bit ridiculous.
But I'm just going to read you a quote from the Financial Times report.
I don't think I'm being unfair when I say that this seems unserious.
Here is exactly what was reported.
Quote,
How are we supposed to take that to the IC, one of the people said, referring to the in-house investment committee that approves transactions?
This is just an extraordinary anecdote that that is actually the pitch on a $40 billion transaction.
I mean, what was your reaction to that story?
So to be clear, although I'm discussing all the stuff with a straight face, like if you think that SpaceX is really worth $2.3 trillion,
which is where it is today, it's because you think Elon Musk is some kind of anomalous genius.
And if you don't think that, you should not be in the shares because there isn't like it would be breaking all of the rules of finance as we know them.
So to hand out investors a two pager with some pictures of space on is kind of wild.
It's not like that is going to be the final documentation for this debt issue.
I think what we're looking at here is some early communications with would-be investors that seem to vary back of the cocktail map.
And I think what we're looking at here is some early communications with would-be investors that seem to vary back of the cocktail map.
That reflects the fact that Musk kind of shoots first and ask questions later or answers them later.
And people give him money because he is Elon Musk.
When they actually get to do this issue, which is they're talking about it closing next year, there will be something a bit more concrete than that.
But it will still be based on this idea that his moonshot, literally moonshot, putting stuff into space, putting data centers into space is viable, which a lot of people think, a lot of scientists think it is not.
But it does seem to speak to this issue that seems to be kind of. It does seem to speak to this issue that seems to be kind of pervasive on Wall Street, specifically when it comes to SpaceX, where everyone seems to be shooting completely from the hip.
I mean, it's not just this two-page deal memo where they're like, we'll just do it.
We'll put data centers in space.
Don't worry about it.
We'll figure it out later.
But we see this in a lot of the price targets from the investment banks as well.
Morgan Stanley putting a price target at $300 a share.
I mean, Raymond James coming out and saying that the company is actually worth $10 trillion.
And my little conspiracy theory about. Which I'd like to get your reaction to is that if they know that this company is going out to issue hundreds of billions of dollars of more transactions, whether that be more equity issuance or more debt issuance, they also know that those are fees that they can profit off of.
And they want to be the banks to go out and help with those transactions and issue that debt, issue that equity.
So it seems to me that maybe there's a little bit of a conflict of interest here.
Where there's so much money in the pipeline here that they don't care about the numbers.
And yeah, they'll just accept it.
except a two pager with pictures of rocket ships and pictures of space.
For sure. And like the whole premise of sell side bank analysts work is that you are being
asked to believe that there is a Chinese wall that means that they're not writing from a place of
the fees that their investment bank is going to make. Like we, you know, they say that very
earnestly. If you don't believe them, then you should take all the analysis that you see from
them with a pinch of salt. And as you said, these target prices are really high. When you look at
how the target prices were derived, in many cases, you have research notes that are dozens of pages
long, but at the end of it, they extrapolate what they think revenue will be next year and slap a
multiple on it, which does not, to me, seem very rigorous or realistic. It seems to me like a lot
of them started with the answer and worked their way backwards. But there you have it, dozens of
pages of information and discounted cash flows and whatever you like. So do your own homework,
I guess, is the moral of that story. If you believe Musk is a genius, you're not reading
that note anywhere. You're just buying the shares or whatever.
Yeah, I'm not sure anyone is reading these notes, even the bears or the bulls. I just want to point
to what's happening to the SpaceX credit default swaps, which rose to 194 basis points on Wednesday.
They were trading at 110 basis points in June. So essentially what's happened here is the cost
of insuring SpaceX's debt against default is suddenly getting very expensive. And the debt
itself is also getting sold off as well.
So it seems like the bond markets are starting to tell kind of a different story, which is
they are very worried about the debt. What do you make of what we're seeing in those markets?
I think they're a bit worried about the debt. So the credit default swaps are, as you said,
those spreads are rising. And that's because people look for something they can use to hedge
against this all going wrong. The bond prices have also fallen more at the long end. So the
50-year bonds are trading at something like 85 cents on the dollar. The five-year bonds are
trading much closer to, I think it's like 95.
And that's not a sign that people are desperately worried, but it is a sign that they're aware that
this company is taking on much more debt. Now, the idea is that its cash flows are also going to grow
very quickly. I think its revenue is expected to quadruple by the end of 2028. If that happens,
then these debt numbers start to look less scary. But certainly, and the other thing I should point
out is SpaceX at the moment, for whatever reason, has an investment grade rating. Were it to lose
that investment grade, it would have been a lot more expensive. So I think it's a lot more
expensive to lose that investment grade rating for the credit agencies than creditors would start
to worry because the debt would become much, the yields would go up a long way and it would become
much more risky. So we should definitely be looking at the credit worthiness of SpaceX. At the moment,
the market's not sending out a distress signal, but it is saying this company is getting riskier
by the minute. What do you make of that investment grade rating? You said, for whatever reason,
it has it. Do you think there are reasons it shouldn't? Again, much ink has been spilled by
credit rating analysts to justify those investment grade ratings. They're based on
the idea that he'll do a lot of what he says he's going to do. Also, that Starlink is actually a
pretty good business. But obviously, those ratings are up for grabs, like they get reviewed. If
investors don't believe the ratings, then that's a problem for the ratings agency. So it's not in
their interest to stretch credulity too far. A lot of people in these financial markets have a lot of
faith in him. It is true that the Starlink business and the connectivity business is a really good
business and also profitable and has, you know, completely dominated the market. But I think it's
that market. But it does seem as though this company isn't about Starlink and it isn't even
about spaceships anymore. It's about data centers. And they spent more than $18 billion on CapEx last
quarter, and it's all going into these data centers. So, I mean, do you struggle as I do
to see arguments as valid that are centered around this company being, you know, at least the price
being justified by the fact that the Starlink business is. I mean, it's not even really about data centers. If you looked at their IPO filing,
they had a $23-ish trillion total addressable market, of which $22 trillion was enterprise
apps. And really, they don't have any enterprise apps at the moment, really. Cursor, I guess,
the coding tool. Data centers are what's happening now. And data centers are actually where the
revenue is. So realistically, if we want them to generate cash, renting out data centers to AI labs
is not a bad way of doing it. It's just that that revenue is very early stage. So,
he needs to show that he can build the stuff, he can rent it out. Starlink is not the future of
SpaceX, and he's not pretending it is. I mean, the future of SpaceX is colonies on Mars. Like,
that's a whole different conversation. It's not unwise of him, if he thinks he can build data
centers quickly, to do that now and try and rent it out to people who are more desperate than he is.
Let's just take a look at the stock. It's up around 10% in the past month. I mean,
I had a three-part prediction for SpaceX. Part one was it would explode on the
IPO. Got that right. Part two is it would then get cut in half. Got that right. And part three
was that it would start after that point, or it would continue to slide as the lockups expired.
Got that wrong. It's risen to $167 a share from its low of $108 in August. It has exploded back up
to, as you say, $2.3 trillion market cap. What do you make of,
of the rise in this stock, which, from what I can understand, doesn't seem to be happening on
the back of much news. It seems to be mostly sentiment. There's been a tiny bit of news,
right? There's been, there have been some launches that were quite successful. So the Starship
project, like, he had his first orbital flight for Starship, which is, which is important,
because that's going to be key to getting lots of stuff into space and getting his spaceships back
again. I'm not totally surprised that the lockups didn't have much of an effect. I know there were a
lot of people who were watching this very closely, but that was pretty well telegraphed. I mean,
we knew that that was coming. There's no secret about the fact that there's going to be liquidity
overhang. So I think that it's, I expected, well, I probably expected it to like you to go up and
then to come down below the IPO price. What I would say is that there are a lot of people who
want this to stay aloft. Like, as we've discussed a lot of them in this call, a lot of vested
interest in Wall Street want to see this stock continue to go up. And Elon Musk is a great
generator of fees for Wall Street.
So the analysts have lots of incentives to pump him up. He just, he also has a really big fan
base. Look at Tesla. Like we, we, I have been arguing for so long that Tesla's valuation is
not based on any real fundamentals. And yet if I'd bet against Tesla with some periods that are
exceptions, I would have lost money. So Musk just has this ability. The problem is also that others
now are going to start to think that they have the same magic charms as he does and they will be wrong.
Do you think that the long-term trajectory of,
this stock will be the same as Tesla and that is a valuation that just completely exceeds and just
lives in a different world from the fundamentals? Like, do you think that the Elon premium is
actually going to be enough to keep this company, you know, in the ballpark of $2 trillion?
It all depends on a lot of things that I don't feel that I can predict with much certainty,
like what's going to happen with the Optimus humanoid robot? Is it going to change the world?
Is SpaceX going to change the world? Is it going to merge with Tesla, which is kind of widely expected to be something that's on the
menu at some point? You know, how will Starship perform? There are all these things that like,
my expertise is not knowing whether humanoid robots is going to be a $10 trillion market,
but if you feel comfortable making that bet, then go for it. And clearly there are enough
people who are comfortable making that bet that Tesla is where it is. But this is not a regular
company where you're projecting earnings out for a couple of years and putting a multiple on them.
This is about faith.
In Elon Musk, and lots of people have that.
How much faith do you have in the actual, I guess, the price discovery here? Because
you mentioned that there are a lot of vested interests, a lot of analysts that are interested
in pumping it up. And also the float remains very small. And so I guess part of the thing here is
it's hard to tell how real any of these numbers actually are, and whether they are actually
reflective of a market.
I mean, you're talking about a market that is even liquid enough to assign a price that
is actually commensurate with its value. So I guess, what do you make of the validity of the price,
maybe, I would say?
That is a really good question, because that $2.3 trillion market cap is, of course, not
real. There isn't $2.3 trillion worth of stock that's available to buy now on the market.
And if all the stock were unlocked, would it be worth $2.3 trillion? If you tried to buy SpaceX,
would you pay $2.3 trillion? Probably not. So that number is not. Also SpaceX, it hasn't been included
in some very important indices. So it's not like everyone owns it. So the actual importance of
SpaceX, the amount of SpaceX that's in your portfolio without you knowing about it, is quite
small. It is important, though, because it sets a reference point for other kinds of IPO, for the
big companies asking what they're worth. Anthropic would be a big one. OpenAI. SpaceX, like NVIDIA
before, it sets this idea that a company of a certain level of value is going to be able to
have a certain level of importance should be worth a certain number of trillion dollars. So that's why
I find myself thinking about SpaceX as a $2 trillion company, because we like round numbers,
and it's big. But as you say, the price discovery is not really there, because this is a small free
float. And it's going to be a small free float for a long time. John Foley is head of the Lex
column at the Financial Times. John, appreciate your time. Thanks.
After the break, a look at the annoyance economy. And by the way, my newsletter, simply put, was just nominated
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Indeed.com slash podcast. Need a hiring hero? We're back with Prof G Markets. There's a name for the hidden fees,
the subscriptions you can't cancel, and the hours spent on hold with customer service.
It's called the annoyance economy. Americans now spend 60% more time on customer service calls than
they did 20 years ago. And the groundwork,
collaborative, a progressive think tank, estimates that the annoyance economy
costs American households at least $165 billion per year. Now, states are trying to rein it in.
Last week, Governor Newsom signed a bill that requires companies to make a good faith effort
to connect customers with a human within 15 minutes of the request. The question is whether
regulation can actually fix this problem that companies are making money from. Joining us to
discuss the annoyance economy.
And what to do about it, we're speaking with Ronan Farrow, Pulitzer-winning journalist at The New Yorker.
Ronan, thank you for joining us. So I saw you put out this explainer on the annoyance economy,
which I just found fascinating. Let's just start with the basic question.
What actually is the annoyance economy?
Well, sadly, most of us probably know it very well, right? This is the labyrinth of phone trees
and menu options and hold times. It's basically a deliberate business practice.
It costs money to give service. So making it as difficult as possible to receive service,
it is a business win for companies. And that's how it's viewed. That's how many of the programs
that ensnare us in endless paperwork, endless menus are designed. You know, one of the examples
I gave when I did a video about this was Amazon built a deliberately winding cancellation path
for Amazon Prime, and they actually gave it the codename Iliad after Homer's poem, right? A 10-year
war. And what they found was cancellations fell 14% after they launched that. And, you know,
economists have looked at this. There's a Stanford economist, Neil Mahoney, who examined this. And
his conclusion was a difficult cancellation process can raise a company's revenue anywhere
from 14% to even up to more than 200%.
So, you know, we see this from, you know, ticketing companies are a big offender, hotels, airlines, cable and phone companies, banks, health insurance companies. We have probably all been there with these practices. And it is not an accident. And it is not just a product of limitations of resources on the company's part.
Yeah, that's the aspect of this that I find fascinating because, you know, obviously we've all been there. I've been there being held up, trying to make a phone call, trying to get through to customer service, trying to get anything done, interacting with a business. And I always assume when they're incompetent that it's because they are incompetent. But you're saying, no, actually, it's deliberate. This is a sign of their competence because they're basically saving money because it means that they don't have to pay for it.
They don't have to actually deal with the costs of actually fixing the problem. Talk a little bit more about how deliberate it is. And then I guess the question after that is like, is that legal? Are companies allowed to make their products intentionally more difficult so that we cannot cancel subscriptions, so that we cannot get proper service that we would hope that we would deserve?
That question gets tested in the courts a lot. And I think it's important to note, you know, a lot of these are examples.
There are a lot of examples where it's more of an inconvenience in trying to get, you know, a consumer good or something. But it also crops up in cases with real stakes, even life or death ones.
One example of this being tested in court in 2024, the Consumer Financial Protection Bureau sued Comerica. That's the bank that ran the debit card that millions of people use to get Social Security.
And the allegation was that its vendors dropped more than 24 million copies.
And the irony is, a lot of these policies, Ed, are in place on the argument that if you make it more difficult, only the people who really need the service are going to prevail in this Byzantine process and actually go for it.
But actually, what the research shows is when you increase the barriers, it screenshows.
And there are cases where it's not screening out people who don't need it.
It's screening out, in a lot of cases, the sickest people.
It's kind of crazy to hear that the government is also engaging in this activity, too.
That is what you're saying, right?
That the government is actually making it more complicated so that they presumably don't have to spend as much of the money on Medicaid, on food assistance, on these government programs.
Is that the thrust of what you're saying?
Yeah.
And look.
There are critics who allege that is the intention.
That certainly seems to be what has come up in the way the legislation landed and in the process that got us to that legislation.
And we've seen this happen at a state level before.
Arkansas tried this in 2018.
They made the paperwork more onerous, more difficult.
18,000 people lost Medicaid.
And most of them were eligible is the key thing.
The Congressional Budget Office has projected, what does this look like with this new?
Federal regime that's in place?
Their projection is 5.3 million more people uninsured by 2034 and about 2.8 million of them are going to lose.
coverage, again, not because they fail this work test that's been put in place, but because they
just couldn't get through the paperwork to prove that eligibility. So Governor Newsom is trying to
take this on. He's signed this bill requiring companies to make a good faith effort to connect
customers. I don't know what that would actually entail, but what do we know about this regulation
and do you think that it will work? Well, we're seeing a number of states move in this way,
right? California, as you point out, is one of the furthest along in the last few years. They've put
in place rules where an advertised price has to include every mandatory fee. Since last year in
California, you have to be able to cancel the same way you signed up. So if you click to join, you
have to be able to click to leave. New York City also has been on this. A new rule went into effect
October 1st.
There's big fines if a company doesn't allow you to cancel with a click. There's a wave of states,
basically. And I'd also point out, in courts, we're seeing more action. Amazon had to settle
with the FTC. That was a $2.5 billion settlement. They've already sent back hundreds of millions of
dollars to customers. StubHub agreed to pay $10 million in fees this April. A New York court
shut down SiriusXM.
Having like an overly onerous cancellation maze. So we're seeing action here. The tricky thing,
Ed, is federally, we're not really seeing that. The FTC did try to pass a national click to cancel
rule, but it got thrown out in court on a technicality. So, so far, the action here
is at the state level.
Yeah, I was going to say, isn't this literally the FTC's job is to prevent things like this?
The whole point of the FTC is to prevent things like this.
The whole point of the FTC is consumer protection, protecting consumers in their interests against
the negotiation with a business. There is a trade happening there. The FTC is supposed
to protect the consumer. This is right in their wheelhouse, right?
Yeah. And it's worth noticing that under this administration, there has been the hollowing out
of a number of consumer protection organs across the government. So it remains to be seen whether
the federal government will catch up on this one.
It is the FTC's job. And there's a number of other agencies that are supposed to participate
in this kind of consumer protection. You know, just the track record of late has not been great
on the federal side. People should challenge this. The thing that provides hope in this space
is that it is a rare, truly bipartisan issue. You know, everyone agrees that these practices
are rapacious and predatory and a problem on both sides of the aisle.
So people should talk to their political representatives about that. Also, as you
actually engage with these systems, you should fight back. There are all these numbers that
are really interesting, some of which I put in this latest video on this subject,
showing how so, so few people actually appeal and persist in the process and push back when
they get an outcome they don't like. When you're in that phone tree, when you're in that whole
time, when you're in that menu system, when you get the paperwork, people don't keep going. And
then when they get dinged, they just leave it be. But the numbers also show that for the small
subset that engage in the pushback and make themselves annoying, the customer being annoying,
they really get results. One of the factoids that stuck with me was a lawsuit against United Health
alleged that 0.2 percent of patients appealed denied claims. So,
nothing. But of that 0.2, about 90 percent of those who did the appealing won. So, it pays to
be a squeaky wheel and to know the assistance are set against us, but you can fight them.
I love this. Be as annoying as possible. Be annoying back to them if they're going to be
annoying to us. This is why I'm so annoying, Ed.
Ronan Farrow is Pulitzer-winning journalist at The New Yorker.
Ronan, really appreciate it. Thank you.
Always a pleasure.
Open AI just dropped a bomb on the world of math. On Tuesday night, the AI lab published
hundreds of proofs that appeared to solve many of the world's most difficult math problems.
These findings spanned problems across numerous fields, including number theory
and algebraic geometry. And they even claimed to have reached a breakthrough on the Riemann
hypothesis, which is a Millennium Prize problem known as one of the hardest to solve.
According to Alex Kontorovich, a distinguished professor of math at the University of New York,
he said,
This would have been an instant Fields Medal winner had it been accomplished by a human.
Now, I want to be clear, these proofs have yet to be verified. They were essentially dumped onto
the internet via GitHub, so they haven't gone through any of the official processes of
substantiation. And that is important because it means they haven't officially been solved.
However, based on the reactions that I'm seeing from the mathematics community online,
this does appear to be a problem.
To be a very major breakthrough. These are problems that went unsolved for decades. And
while some might criticize the way in which open AI tackled them, specifically drawing on existing
research without proper accreditation or attribution, and also burning billions of
dollars in the process, the truth is they are pushing the boundaries of math. And if our goal
is to better understand the universe, well, I don't think there's any denying at this point
that the company is
helping to achieve that. Because I do want us to uncover the true nature of reality. And I do want
to find out what is actually going on out there. And a deeper understanding of math is a fundamental
building block in pursuing that goal. Having said that, this still doesn't answer the question
of whether open AI can become a viable business. Because what we know about intellectual research
is that it is very expensive, and usually,
very unprofitable. And if you don't believe me, just go look at the income statement of any
research institution. They are largely funded not with profits, but with donations. That is how the
scientific discovery process generally works. So if your position is that open AI is pushing the
boundaries of research, I 100% agree, and I am excited about it. But if you also believe that
that is the path to becoming a profitable business, well then, that is where I run into problems.
Because being good at math does not equate to being a good business. They are two fundamentally
different pursuits that are being conflated as one and the same. So we can acknowledge
the scientific accomplishments of this company, and we can recognize that they are groundbreaking.
At the same time, though, we can also recognize that this is a business model that so far doesn't
work. The company is still immensely unprofitable, and it appears that their losses are expanding.
And despite that, they are still pursuing a $1.5 trillion valuation, which would make the company
twice as valuable as Walmart, while generating less than a tenth of the revenues. In sum,
scientific research and enterprise business are two very different ballgames. And unless open AI
wants to burn billions until the end of time, eventually, they're going to have to choose.
Okay, that's it for today. This episode was produced by Claire Miller and Alison
Weiss, and engineered by Benjamin Spencer. Our video editor is Brad Williams. Our research team
is Dan Shalon, Kristen O'Donoghue, and Mia Silverio. And our social producer is Jake McPherson.
Thank you for listening to Profiteer Markets from Profiteer Media. If you liked what you heard,
give us a follow. I'm Ed Elson. Tune in tomorrow for our conversation with Cal Newport.
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Podcast Summary
Key Points:
SpaceX is seeking $40 billion in financing to build 10 gigawatts of data centers, with plans to use a mix of investment-grade bonds and bank loans.
The bond market is signaling growing concern, with credit default spreads rising and bond prices falling, suggesting increased debt risk despite SpaceX’s current investment-grade rating.
Analysts and investment banks have issued extremely high valuations, such as $10 trillion for SpaceX, raising questions about whether these assessments are based on fundamentals or driven by sentiment and financial incentives.
Early investor communications, including a two-page memo with space-themed visuals, highlight Elon Musk’s prioritization of bold vision over financial realism, sparking skepticism about feasibility.
The stock surge reflects strong sentiment and investor faith in Elon Musk, rather than solid financial performance or earnings growth, raising doubts about the sustainability of its $2.3 trillion market cap.
The "annoyance economy" refers to deliberate business practices that make customer service difficult, reducing costs and increasing revenues—common in tech, finance, and government services.
State-level regulations, like California’s "click-to-cancel" rules and Governor Newsom’s 15-minute human response mandate, aim to combat these practices, though federal action remains limited.
OpenAI has released hundreds of math proofs, including claims on the Riemann hypothesis, prompting excitement in the math community but raising concerns about whether such research can sustain a profitable business model.
Summary:
SpaceX is seeking $40 billion in financing to build massive data centers, a move that raises financial and feasibility concerns amid rising bond market risk and skepticism over its valuation. Despite strong market sentiment and Elon Musk’s visionary appeal, the company’s debt load and lack of proven profitability highlight structural risks. Meanwhile, a growing awareness of the “annoyance economy”—where companies deliberately make customer service hard to save costs—has prompted state-level regulations requiring faster human responses and easier cancellations.
These regulations, while promising, face limited federal enforcement. On a separate note, OpenAI has published groundbreaking math proofs, including potential solutions to long-standing problems like the Riemann hypothesis, which excites the academic community but raises doubts about the viability of its business model, given its significant losses and lack of revenue. Overall, the episode underscores how financial markets, investor sentiment, and emerging tech ventures are shaped by both bold ambition and underlying uncertainty.
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Listeners of the show can receive a $75 sponsored job credit at indeed.com/podcast. This credit helps with job postings and is available through Indeed Sponsored Jobs, which targets candidates with the right skills and certifications.
The annoyance economy refers to business practices that deliberately make customer service difficult, such as complex phone trees or lengthy cancellation processes, to reduce costs. It costs American households at least $165 billion annually and has prompted state-level regulations.
The annoyance economy has been observed in healthcare, where complex eligibility processes have caused eligible individuals to lose coverage—such as 18,000 people in Arkansas losing Medicaid. The Congressional Budget Office projects 2.8 million could lose coverage by 2034 due to these barriers.
OpenAI published hundreds of proofs claiming to solve long-standing math problems, including potential progress on the Riemann hypothesis. However, these proofs have not been officially verified and are still under scrutiny by the mathematics community.
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