SpaceX’s $1.25 Trillion AI Bet | Prof G Markets
813 segments
Today's number, 3.5 million. That's how
many Epstein files were released by the
Department of Justice last week.
Mentioned in the files was Elon Musk,
who apparently did not go to the island,
but he did try before being politely
rejected. [music]
We're not sure what's worse.
Welcome to Profy Markets. I'm Edson. It
is February 4th. Let's check in on
yesterday's market vitals.
The major indices declined amid a broad
tech sell-off. Software companies
weighed down the market after anthropic
released an automation tool for legal
work. The tech draw down hit Bitcoin as
well, dragging it to its lowest level
since November 2024. Meanwhile, Disney
shares slid again after the company
named Josh Dearo, chairman of the
experiences division as its next CEO. By
the way, Rich Greenfield predicted that
on our episode yesterday. And Netflix
shares fell as the Senate antitrust
hearing on the Warner Brothers deal
kicked off. A couple of stocks bucked
the downward trend. Walmart rose as much
as 3% and joined the $1 trillion market
cap club. And Palanteer gained more than
6% after reporting record revenues and
profits for the past quarter. Outside of
the stock market, gold and silver paired
some of their losses. And finally, oil
rose after the US shot down an Iranian
drone headed towards an aircraft carrier
in the Arabian Sea. Okay, what else is
happening?
Elon Musk's empire is consolidating.
SpaceX has acquired XAI, creating a
combined entity worth $1.25 trillion.
That makes it the most valuable private
company in history. Musk is calling it
quote the most ambitious vertically
integrated innovation engine on and off
Earth. And the logic behind the deal is
bold. It is a bet on space-based data
centers, which Musk believes are quote
obviously the only way to scale AI. The
Allstar deal comes just a week after
Musk announced that SpaceX will go
public later this year. Okay, here to
discuss the deal, we are speaking with
one of the reporters who actually broke
this story, Ed Lllo, co-host of
Bloomberg Technology on Bloomberg
television. Ed, thank you very much for
joining us again on Profy Markets.
>> Yeah, thank you for having me in Big
Story.
>> Big Story. Um, so I guess just tell us
the basics. You're the one who who broke
this SpaceX and XAI merging together.
Um, what do we know so far? Yeah, it's
an all stock transaction that values the
kind of entire entity at $1.25 trillion,
the SpaceX bit1 trillion, the XAI bit
$250 billion. But there's like some
structural things that are important,
which is the XAI basically operates as a
subsidiary of SpaceX, which is important
because SpaceX is subject to ITAR rules,
right? Rules that govern the use of
technology and defense applications. And
so like my understanding and our
understanding and our reporting is that
you know even though they're now
combined XAI kind of continues to
operate independently as its own
company.
>> How does this change things for the IPO?
Because obviously SpaceX is going to be
the biggest IPO of the year, one of the
biggest of all time. Does this change
things there?
>> Isn't that the the $ 1.5 trillion or
more question? you know, our our
reporting and our understanding is that
the work continues for SpaceX and now
the combined entity to do an IPO. In the
summer, we had reported it would be at
the midpoint of of this year. And while
like out there from the cell side, from
from lots of people that follow these
companies closely, there are still
questions about whether it happens. The
ultimate rationale behind this right is
uh data centers in space. And at the
time that we broke the story on why
SpaceX would go public um and and its
motivations for needing to raise tens of
billions of dollars, it was quite simple
that there is an ambition in place for
for space-based data center
infrastructure, but somebody's got to
buy the GPUs, right? That's that's the
kind of fixed cost. Um and and based on
our reporting and the days around this,
all of that is still holding true. So
this data centers in space thing which
yes that is what they've said he wrote
the idea is space-based AI that's the
only way to scale. So could you just
break down what that is? That is
literally let's take these data centers
that exist on the ground and instead of
having them on the ground we're going to
have them in orbit in space because
there's not enough space in the ground.
I mean why do we need to put data
centers in space? to to Elon Musk's mind
literally, you know, pardon the pun,
there's more space in space. You know,
the simple way that that that Musk
explains it is that right now the
limiting factor for scaling AI on Earth
is energy, right? You know, there's a
great um burden on grids across North
America and and other countries and
other jurisdictions. Water consumption
is an issue, impact on communities and
literal space to build the data centers.
If you put a data center in the form of
a satellite and put it into orbit, the
energy question is solved by solar. To
the mind of those advocating for this,
uh, you have to handle cooling and and
space is a vacuum and and to the the
mind of the engineers working on it,
that's easily solved. And you have
plenty of real estate, let's call it, in
space to to build on. And and that is
the vision that that Elon Musk is
pitching here. It's it's a horrible term
when you're when you're a financial news
journalist, but but what we're talking
about basically is vertical integration,
deeper vertical integration, right?
Starship provides the rocket that
carries these satellites into orbit and
deploys them. They are data centers to
all intents and purposes. XAI has
trained the models, but also those
models need to be run inference, which
you guys know that that is all outlined
in in the public coms that that SpaceX
and XI put out there, but also the
internal coms that we've reported on
around this too.
>> As I I am somewhat of a Elon Musk
skeptic and as the Musk skeptic, my view
when I see this is he's saying that the
idea is that we got to put these data
centers in space. How do we do it? Don't
ask too many questions. The idea is
we'll we'll get there. We'll figure it
out. At the same time, XAI is a company
that is competing with the likes of Open
AI and Anthropic, these companies that
are burning through billions of dollars
in cash and are having to raise billions
of dollars in cash. And XAI is itself
burning, I believe, a billion dollars a
month. And so when I see this, my
initial reaction is this is the saving
grace of XAI. If things aren't are
looking difficult over at the AI
company, well then why not just roll it
up into the bigger company which perhaps
has more uh cash to play with to invest
in in the AI models and training. Is
that too cynical? Uh what do you think
of that perspective? There are lots of
uh investors uh and people in the
markets that are are skeptical about the
the financial rationale for this
arrangement combining private XAI with
private SpaceX. And what we had also
reported last week is that Elon Musk had
looked at two distinct scenarios. One
scenario involved SpaceX combining with
Tesla which is of course a public
company. Bloomberg has reported that XAI
is burning a billion dollars of cash per
month and on a a quarter basis, you
know, you can put that in aggregate. It
also has a large debt burden which is
now on the balance sheet of SpaceX
technically. Um, those that would push
back against those concerns would say,
well, we also learned quite a bit about
SpaceX's financials. Revenue is growing
with Starlink now a majority contributor
as opposed to Launch being a majority
contributor. and on a an EBIT basis at
least it is profitable and so they're
not concerned about SpaceX needing to
service the XAI debt or account for the
losses at the XAI unit. Um but again,
you know, the the public commentary from
from SpaceX and from Musk is that this
is about deep vertical integration. It
makes the use of the talents and
resources of both companies to the
maximum effect which is AI development
whether that's here on Earth or up in
space. So Ed, I know you've been looking
at this for a long time, reporting on
it, observing what's happening, and you
know, your job is to be objective on
both sides. I would love to know what
you think the real motivation is because
it seems like there there are two things
at odds here. There's the financial
picture. You bring up the amount of cash
they're burning. You bring up the debt
picture at XAI, which is, you know, a
question. And then there's the deep
vertical integration pitch which is
coming from SpaceX and they're probably
saying no it's not about the financials.
It's because there are synergies here on
the business side. What do you think?
What what is the true uh strongest
primary motivator for Elon Musk to merge
these two things together?
>> Yeah. And none of this is that big a
surprise. You know, it's kind of
consistent with with what we've called
Elon Inc., right? You know, Elon Musk
has many ventures. They've always had
historically close engineering and
financial ties, right? There have been
engineers that have worked on materials
at Tesla and worked at SpaceX. You know,
some of the results of of SpaceX's more
recent success like um the heat
shielding on Starship. You know, a lot
of Tesla engineers touch those hands. A
lot of Tesla engineers were the reason
that XAI could build its data centers in
Tennessee so quickly. you know, this
kind of intercomp cooperation is is not
new. The financial part is also not that
new, right? XAI has been a buyer of
Tesla's energy products from Tesla's
earnings recently. The company disclosed
a $2 billion equity investment in XAI.
It's all kind of linked. Last August, we
we did this as the cover of Business
Week magazine. You know, 6 months into
the the Trump administration's term in
office. What was it that Elon Musk was
trying to get out of being in and around
the White House working with Doge? And
it was that a lot of the priorities that
he had for his different companies were
kind of aligned all around AI, you know,
and and having proximity to that
administration allowed him to try and
influence things that would help those
those priorities. But yeah, it is AI at
the end of the day. Tesla has hard
pivoted away from cars. it now needs,
you know, to develop the software part
of AI for for autonomous driving and and
the Optimus humanoid robot program. Um,
XAI per the the regulatory filing in the
week. It's not just a financial
investment that Tesla's made. They have
a framework to now share and work on the
technology. So, fast forward, the future
is that all of these companies kind of
work in parallel. What will the space
data centers actually be doing?
Inference in space, right? running
inference on Optimus or running
inference on on models that are that are
underpinning something else, be it the
the robo taxi network. It's kind of been
hiding in plain sight a little bit.
>> Do you think ultimately they all merge
with Tesla? I mean, the way you describe
it, Elon, Inc., it's a good point.
They're all kind of collaborating. It
seems as though maybe the ultimate goal
is, yeah, just roll it all up into one
company. How likely do you think that
is? Yeah, our reporting is still that
like this SpaceX XAI combined entity is
going to do an IPO later this year, but
actually loads and loads of people's
immediate reaction to the news was okay
Tesla must be next. You know, fold Tesla
in in in some way. People just think
that that is the logical step to make.
Um when we did the August edition of
Business Week, you know, it was it was
well reported and and in conversation
with all of these sources in close
proximity to the companies and Elon
Musk, there is a a perceive a
perception, you know, a realization that
if you took these massive companies and
tried to to fold them into one
conglomerate in any environment, that
would be tricky. You know, regulators
would look at it for one reason or
another. The mechanics of it um would be
difficult. And again, I go back just to
the reporting about um the two options
that we believe were looked at, SpaceX
plus Tesla or SpaceX plus XAI. And in in
the first instance, they went with
SpaceX plus X AI. But there were a body
of SpaceX investors, you know, with with
a meaningful footprint on the cap table
that that looked at it and and to them,
the Tesla combination made a lot more
sense um than the XAI one did. Not just
because of the sort of financial health
of such a transaction but because that
what they were working on you know at
scale manufacturing vertical integration
of of those more analogous industries to
that to those investors it it was
completely obvious. It's
>> really fascinating. Ed Lllo co-host of
Bloomberg Technology on Bloomberg
television. Ed, thank you very much for
joining us.
>> Thank you for having me. We'll be right
back. And if you're enjoying the show so
far, be sure to like and subscribe to
the Profod YouTube channel at the link
below.
Support for the show comes from Public,
the investing platform for those who
take it seriously. On Public, you can
build a multi-asset portfolio of stocks,
bonds, and options. And now, generated
assets, which allow you to turn any idea
into an investable index with AI. It all
starts with your prompt. From renewable
energy companies with high free cash
flow to semiconductor suppliers growing
revenue over 20% a year overear. You can
literally type any prompt and put the AI
to work. It screens thousands of stocks,
builds a one-of-a-kind index, and let
you back test it against the S&P 500.
Then you can invest in a few clicks.
Generated assets are like ETFs with
infinite possibilities, completely
customizable, and based on your thesis,
not someone else's. Go to
public.com/provg
and earn an uncapped 1% bonus when you
transfer your portfolio. That's
public.com/provg.
Paid for by public investing, broker
services by Open to the Public
Investing, Inc., member FINRA and SIPC.
The advisory services by public advisors
LLC SEC registered advisor generated
assets is an interactive analysis tool.
Output is forformational purposes only
and is not an investment recommendation
or advice. [music] Complete disclosures
available at public.com/disclosures.
We're back with Profy Markets.
Oracle has set investors on edge. On
Sunday night, the company announced
plans to raise up to $50 billion to fund
its cloud infrastructure. It launched
the first part of that financing on
Monday with a $25 billion bond sale that
actually drew record demand. But
enthusiasm quickly turned to concern as
questions resurfaced about a related
matter, specifically Nvidia's investment
in open AI. As a reminder, back in
September, Nvidia announced it plan to
invest up to hundred billion in open AI.
However, CEO Jensen Huang recently
clarified that that figure was quote
never a commitment. and it appears that
the investment has stalled. That poses a
serious risk for Oracle as roughly half
of its $625 billion in future revenues
are made up of spending commitments from
OpenAI. So, the question is now louder
than ever. Will Open AI be able to pay
up. In total, Oracle stock has fallen
roughly 10% since Sunday [music] night.
All right, here to walk us through what
is going on at Oracle, we're speaking
with Gil Lura, head of technology
research at DAD Davidson. Gil, thank you
for joining us again on Profy Markets.
>> Thanks for having me.
>> So, there are a lot of moving parts
here. Um, Oracle says that they're going
to raise uh $50 billion worth of debt
and equity. they go out and they raise
the debt successfully,
but the stock is sliding
um down around 10% in the past couple of
days, and it seems to all have to do
with Open AI. Can you just give us the
the playbyplay? What on earth is going
on with Oracle right now?
>> No, you're exactly right. There's just a
lot of moving pieces, especially the
last couple of days. So let's just start
with the fact that all of software is
down a lot and um all of more than all
of Oracle's cash flow comes from its
software business. Let's not forget that
Oracle is mostly almost entirely a
company that sells database software uh
enterprise resource planning software.
That's where they get more than all
their profits. And and right now the
market feels like software is just a bad
idea in general. So that's been
happening at once. And then you have the
the fact that they're raising capital
and then they said that this is all the
capital they're going to need this year.
That's good. The fact they were able to
do at least part of the debt. We're not
sure they're done, but at least part of
the debt, that's good. Then you start
getting into some of the other
challenges. one is that's that's it for
this year. But for them to be able to
build the capacity that they promised
Open AI, they're going to have to do
this again next year and probably again
the year after that. Meaning raise
another $50 billion next year and the
year after that. What's happened is if
you look closely at this debt issuance,
it was not cheap. the rating agencies
gave their secured debt, the the senior
secured debt a triple B minus rating,
which is to say just above junk bond
status. This is a 50-year-old company
that is now issuing debt, almost a junk
bond rate. So that's not good. They
won't have any cash to pay that debt
down. They're going to have negative
cash flow this year. So a year from now
when they need to go back to the debt
markets, that's going to be junk bonds.
So even higher yield, higher interest
expense. To add insult to injury,
there's also the equity offering.
They're doing what's called an at the
market offering. That means that instead
of doing a full issuance uh overnight,
they're going to sell a little bit of
stock every day. And our back of the
envelope method, I could walk you
through it, is that that's probably 10
weeks of them selling 10% of the daily
active trading volume. uh every trading
day. So that's going to keep putting
pressure on the stock possibly for the
next 10 weeks. So those are those are
some of the puts and takes here in in
what is a very dynamic complicated
situation. And where does OpenAI fit
into all of this? Because there was
reporting that OpenAI had this deal with
Nvidia that maybe isn't as secure as
people once thought. Uh and then Oracle
puts out this really fascinating
statement. They say, quote, "The NVIDIA
OpenAI deal has zero impact on our
financial relationship with OpenAI. We
remain highly confident in OpenAI's
ability to raise funds and meet its
commitments." And then that statement
goes viral and everyone's kind of
laughing and pointing fingers at the
statement and at Oracle right now. So
talk a little bit about how Open AI fits
into this slightly ugly picture for
Oracle.
>> Yeah. Well, then there's all that and
and that [laughter] that tweet was also
unfortunate that that would do protest
too much, right? And this is what a
corporate account should be tweeting. I
I would take a look at that and and I'm
not sure who what the instructions were,
but I I we've talked about the fact that
Oracle is raising all this capital to
build data centers for open AI. So open
Oracle has to raise a lot of capital to
build data service for open air
>> for open to be able to pay for this
compute capacity. They need to raise a
lot of capital as well. And in fact if
you think about where Oracle stands in
line it's important to see how much
OpenAI can raise. If they can't raise
enough Oracle's not getting paid because
Oracle is probably third or fourth in
line in terms of who OpenAI is going to
get paid who opened AAI is going to pay
when they raise the capital. If open
doesn't raise enough capital only
Microsoft gets paid maybe Amazon
if we Oracle has to hope that open
raises hundred billion dollars or more
to be able to afford its grand ambitions
which include this open AI capacity. So
one company raising debt at almost junk
ratings in order to build capacity for a
startup a money losing startup that's
still struggling to raise capital so it
can pay for it. We've talked about this.
this is bubbleicious behavior. This is
not okay. This is unhealthy behavior. It
may still work out because this AI stuff
is great, but it's very very risky uh
type of situation for really for both
companies.
>> And it's really fascinating how it all
kind of ties back to Nvidia because it
was all about Nvidia investing the money
into Open AI and then that's the money
they're going to use to pay Oracle. But
there was this fascinating interview
with Jensen Huang which I would love to
to get your reactions to. He was asked
about this 100 billion dollar commitment
deal that was talked about with OpenAI.
Uh he was asked about what's going to
happen with that and this is what he
said.
>> There was never a commitment. They
invited us to uh invest up to a hundred
million dollars
>> and of course we were we were uh very
happy and honored that they invited us
but we will invest uh one step at a
time.
>> It seems that he's kind of frustrated in
that video um that people are saying
that oh you're going to you're going to
invest hundred billion dollars and he's
saying no that's not what's happening. I
would just love to get your reactions to
how he sounded and also what he said.
Yeah, there's a lot of things going on
there, too. So, uh, first of all, that
hund00 million that was talked about a
while ago, that was really just a
framework for what I would call a
rebate. Nvidia Nvidia talked to Nvidia
agreed with OpenAI for every gigawatt of
capacity that you get out there, we'll
invest $10 billion at your current
valuation, which at the time was $500
billion. Um, OpenAI hasn't even deployed
a gigawatt yet. So, they haven't gotten
that first 10 billion. So that was a
framework and and and I understand that
Jensen's saying that. By the way, the
conversation now is for Nvidia to
actually invest tens of billions of
dollars actually at this level, not as a
rebate, as is the discussion for
Microsoft and Amazon and and to also
invest in OpenAI. So it again it is
quite possible that OpenAI raised this
capital but there's a lot of noise and
the last couple of days there were news
items about Nvidia being frustrated with
OpenAI spreading itself too thin in
terms of the businesses it's it's in
deploying in terms of the chips that
it's buying. So there was frustration
Nvidia and coincidentally or not there
was a leak from open air that they're
frustrated with Nvidia's chip
performance. So, a little bit of uh
childish um conflict here, but at some
point the adults are in the room. Nvidia
has a very significant interest that
OpenAI does well, right? Remember, if if
there's no OpenAI, there's no anthropic.
Everybody's using Google TPUs. So,
Nvidia needs OpenAI to do well and it
has the capital to invest as does
Microsoft, as does Amazon. So it is
likely that those three will fund the
continued expansion of OpenAI at least
this year. But if you can imagine that
if Nvidia invested OpenAI, there's
strings attached. There's no more
discussion of other chips and there
certainly will not be communication out
of OpenAI about Nvidia chips not
performing. So that's where we're at. A
little bit of middle school drama, but
at the end of the day, uh there's a lot
of incentives going around to make sure
that the investment continues.
the debt picture that you described at
Oracle in concert with the capital
problem over at OpenAI and the fact that
they need more money to spend on these
commitments than they actually have. I
it's all very concerning. It just like
very flashing bright red signs when you
hear that. We were, you know, when when
or a couple of years ago when Oracle
started to position itself as a real AI
player, we were quite bullish on the
company and that actually uh, you know,
paid dividends going forward. But it's
now getting to the point where there are
so many red flags here. Do you think
that this is just a company that
investors probably shouldn't touch at
this point? Are we getting into a a
territory that is genuinely uh dangerous
if you're if you're buying Oracle or is
or is is it safer than than I'm
portraying? No, it is risky. And let me
just put it in context. Oracle is still
trading at 20 times forward earnings on
what what looks like low teens growth
next year. Salesforce is going to grow
low teens growth next year. It's trading
at 16 times. Adobe is going to grow low
teens next year. It's trading at 12
times. So Oracle by Again, given where
we are on software, Oracle is not cheap
by any stretch of the imagination. They
have good business the the the baseline
database business does generate a lot of
cash. The baseline Oracle cloud business
was okay. It was growing fast, not very
profitably, growing fast. [snorts] The
AI part of the business, the AI compute
part of the business appears to be such
low margin that it's not even clear that
it that they should be investing in it.
And yet again, to your point, they just
borrowed a lot and they're issuing at
least 5% of their shares in order to
fund this, which again may grow their
revenue a lot, but may not add any
profit anytime soon. Certainly not any
cash flow anytime soon.
>> So very risky, especially compared to
much better software companies that are
trading at a lower multiple right now.
>> Okay, Gil Larry, head of technology
research at DA Davidson. Thank you so
much, Gil. Lots of crazy stuff happening
in tech world. I really appreciate you
taking us through it.
>> Thank you.
>> We'll be right back. And if you're
enjoying the show so far, be sure to
like and subscribe to the Profod YouTube
channel at the link below.
Support for the show comes [music] from
LinkedIn. It's a shame when the best B2B
marketing gets wasted on the wrong
audience. Like imagine running an ad for
cataract surgery on Saturday morning
cartoons [music] or running a promo for
this show on a video about Roblox or
something. No offense to [music] our Gen
Alpha listeners, but that would be a
waste of anyone's ad budget. So [music]
when you want to reach the right
professionals, you can use LinkedIn ads.
LinkedIn has grown to a network of
[music] over 1 billion professionals and
130 million decision makers according to
their data. That's where [music] it
stands apart from other ad buys. You can
target your buyers by job title,
industry, company role, seniority,
skills, [music] company revenue. All so
you can stop wasting budget on the wrong
audience. That's why LinkedIn ads boasts
one of the highest B2B [music] return on
ad spend of all online ad networks.
Seriously, all of them. Spend $250 on
your first campaign [music] on LinkedIn
ads and get a free $250 credit for the
next one. Just go to linkedin.com/scott.
That's linkedin.com/scott.
Terms and conditions [music] apply.
We're back with Profy Markets.
So, [music] lots of AI drama this week
and at the center of it all again, it's
open AI. Through multiple reports,
[music] we now know that those $100
billion that Nvidia was going to commit
to Open AI, whatever that means, that is
now quote on ice. But what might be even
more interesting is the extent to which
Oracle has been implicated in all of
this. And even more interesting than
that is perhaps what Oracle said about
it. This was the public statement from
the official Oracle account on X which I
said to Gil. They said quote the Nvidia
OpenAI deal has zero impact on our
financial relationship with OpenAI. We
remain highly confident in OpenAI's
ability to raise funds and meet its
commitments. There are several things
that are striking about this. Number
one, why is a large corporation
commenting on a third party deal with
which they are not involved? That is
kind of strange. Number two, why do they
feel the need to say anything about it?
And number three, why bring more
attention to this deal than it already
has? These are all the questions that
everyone's asking themselves. is the
question that I'm asking myself. But I'm
only asking them because Oracle posted
about this. If Oracle hadn't said
anything, then perhaps we wouldn't be
asking these questions. But they did.
And so now we are. And the answer to
those questions is quite obvious.
They're saying these things because they
are worried about them. When they say
this has no impact on our relationship
with OpenAI, that's how you know it does
have an impact on their relationship
with OpenAI. When they say they're
highly confident that OpenAI will meet
its commitments, that's how you know
they're not highly confident that OpenAI
will meet its commitments. This is
public relations 101. This is what is
known as the Stryand effect. And that is
whenever you try to suppress or downplay
an issue that you don't want lots of
people talking about. All that happens
when you do that is it makes people talk
about it even more. And this is the
perfect example. That statement, that
press release received 5 million views
on X. To put that into perspective, that
is more than double the prime time
viewership of Fox News. And no, people
were not saying it was a good statement.
It wasn't going viral for that reason.
People said it was a bad statement. They
were trolling Oracle. They were saying
how embarrassing it was. And crucially,
in the hours after that statement was
published, Oracle stock fell 6%. So this
should be a learning moment in public
relations. I think companies need to
remember that business is now more
popular than ever as a form of
entertainment. It is a sport now. It is
a series. You Oracle are now part of the
show. And so what that means is when you
screw up like they did, the stakes are a
lot higher because everyone is watching.
Everyone is interested in how this plays
out. Now, I don't know who made the call
to post that statement. It seems to have
come from someone potentially higher up
in the company, but if you're running a
half a trillion dollar company, which
Oracle is, you need to be better. The
language needs to be way less defensive.
It needs to deal with these concerns a
lot more delicately than it did. And
most importantly, someone should have
asked, "Do we really need to post this?"
And the answer should have been no. You
know, maybe 10 years ago, people
wouldn't have noticed this, but the year
is 2026. We are in a digital era. We
live in an age of virality. The costs of
these mistakes are higher. And in this
case, it cost them roughly $25 billion
in market cap. It is quite simple.
You've got to be smarter. Thanks for
listening to Prophy Markets from Profy
Media. If you liked what you heard,
subscribe to our YouTube channel and
tune in tomorrow for more. [music]
Ask follow-up questions or revisit key timestamps.
This episode of Profy Markets explores the major consolidation within Elon Musk's empire, specifically the merger of SpaceX and xAI into a $1.25 trillion entity focused on space-based AI scaling. The discussion also covers market vitals, including Walmart's entry into the $1 trillion market cap club and a deep dive into Oracle's precarious financial situation. Oracle is facing significant risks due to its heavy reliance on OpenAI's future spending, especially as NVIDIA's rumored $100 billion investment appears stalled, leading to a PR blunder that cost Oracle $25 billion in market value.
Videos recently processed by our community