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Will Meta and Microsoft's AI Investments Pay Off? | Pivot

August 02, 2024 / 06:20

This episode discusses the recent earnings reports from Meta and Microsoft, focusing on their revenue, profit, and AI spending. Key topics include Meta's strong advertising revenue growth, Microsoft's mixed earnings results, and the overall capital expenditures in the tech industry.

Meta reported a 22% increase in advertising revenue year-over-year, with earnings per share up 73%. The company is increasing its expected capital expenditures for AI to at least $37 billion in 2024, raising concerns about the return on investment.

Microsoft's earnings showed a mixed bag, with cloud revenue growth at 27%, slightly below expectations. The company's shares fell initially but rebounded. Analysts noted a significant 78% year-on-year increase in Microsoft's capital expenditures.

The discussion highlights the staggering capital expenditures of major tech companies, totaling about $200 billion this year. This spending is compared to the U.S. government's budget for homeland security, emphasizing the scale of investment in AI.

Overall, the episode raises questions about the sustainability of AI spending and the potential for returns, suggesting that the tech industry is in an arms race for AI capabilities.

TL;DR

Meta's earnings soar while Microsoft faces mixed results amid rising AI spending concerns.

Video

00:00:00
we've got more Tech earnings to discuss
00:00:02
so much going on let's start with Mata
00:00:03
whose shares jumped in extended trading
00:00:05
Wednesday after the company Beat
00:00:06
estimates of revenue and profit in the
00:00:07
second quarter advertising Revenue 22%
00:00:10
from a year earlier and the strength of
00:00:11
that business seems to be offsetting
00:00:13
concerned about heavy spending on AI
00:00:14
which I think is necessary for them the
00:00:16
AI spending will be increasing with meta
00:00:18
uping its expected 2024 Capital
00:00:20
expenditures to at least 37 billion
00:00:22
we're done with the metaverse now we're
00:00:24
spending the money on AI um meta shares
00:00:27
did sync on AI spending news last
00:00:29
quarter um the market seems more
00:00:31
optimistic because they've got a really
00:00:32
good business to get them there I guess
00:00:34
um there's not still not a lot to show
00:00:36
for these AI Investments and a lot of
00:00:38
investors are worried about where the
00:00:40
payoffs are um how long will investors
00:00:42
wait to get a return from meta um and
00:00:45
I'll just go through Microsoft earnings
00:00:47
really quickly Microsoft was less
00:00:48
they're less enthusiastic about those
00:00:50
which were a m of bit of a mix bag
00:00:52
overall sales and profit growth beat
00:00:53
expectations in the latest quarter but
00:00:55
revenue for the company's Cloud business
00:00:56
roads 27% slightly below the prior
00:00:59
quarter and analy expectation shares
00:01:01
were down about 3% on Tuesday after the
00:01:03
earnings report but rebounded for the
00:01:04
most part the next day um so talk a
00:01:06
little bit about that about the two
00:01:08
companies
00:01:09
thoughts there's just no denying it meta
00:01:12
I
00:01:13
mean meta their earnings were up their
00:01:16
earnings per share were up 73% year on
00:01:19
year their ad Impressions and average
00:01:21
price per ad both increase 10% year on
00:01:23
year I mean that's incredible the
00:01:25
average price and the number of
00:01:26
Impressions up 10% 3 and A4 billion
00:01:30
daily active users so 40% of the planet
00:01:35
is on a meta platform every day um the
00:01:39
only thing that's giving anyone any
00:01:40
pause and it depends how well they're
00:01:42
positioned is they said they warned that
00:01:44
capex growth for AI will grow
00:01:46
significantly and they've said that the
00:01:47
amount of compute needed to train llama
00:01:49
4 will likely be almost 10 times more
00:01:54
than we used to uh what was used to
00:01:56
train uh llama 3 and people are sort of
00:01:59
when they get a little insecure about
00:02:01
this they immediately go to similar to
00:02:03
what they did in 99 when they went to
00:02:05
Cisco they go to the infrastructure
00:02:06
place because if you look at the capex
00:02:08
for the software layer Microsoft meta
00:02:10
Google and Amazon their capex is up 31%
00:02:13
but their revenue is only up 19 whereas
00:02:15
the hardware layer you know where you go
00:02:17
first Nvidia AMD arm their Capa is
00:02:20
actually flat even maybe down 8%
00:02:22
depending on how you calculate it but
00:02:24
their revenue is up
00:02:25
146% so it feels like a safer a safer
00:02:28
play right now since reporting their
00:02:30
earnings Microsoft and Google the
00:02:32
software stack or part of the stack have
00:02:34
declined 2 and 6% respectively when AMD
00:02:37
reported it was up 8% but the the
00:02:40
software layer although is that true
00:02:43
meta was up but Microsoft was down but
00:02:46
the thing that freaked everybody out on
00:02:47
the Microsoft call was uh just their I
00:02:51
think it was like they announced
00:02:52
something like a 78% year-on-year
00:02:54
increase in capex to 19 billion which is
00:02:58
a staggering increase and get this the
00:03:01
entire tech industry is in such a
00:03:03
spending Street the capital expenditures
00:03:05
of Amazon metam Microsoft and Google
00:03:07
this year will be about $200 billion do
00:03:09
that's double what the US government
00:03:11
spends on homeland security I mean this
00:03:14
is these numbers are just staggering
00:03:16
they are they're staggering whether
00:03:17
they're going to get the money back is a
00:03:18
real question there's I think pretty
00:03:19
much open AI is making money but who
00:03:21
else is you know this this irritating VC
00:03:24
I'm not even going to name them was was
00:03:26
asking um I was having lunch with Sam
00:03:28
Alman was asking like is any going to
00:03:30
make money here essentially and I think
00:03:32
everyone's worried about that is is this
00:03:33
spending going to result in you know a
00:03:35
growth that that that meets the amount
00:03:38
of money they're spending I don't see
00:03:39
they have another choice but to spend
00:03:41
correct it's this is not the metaverse
00:03:43
this is a really critical shift in
00:03:45
Computing I don't know how they can't
00:03:47
not invest this is I mean all systems
00:03:50
are go here this is this is I mean as as
00:03:53
much excitement as there was about the
00:03:54
web even though the revenue is scanned
00:03:56
relative to the investment it's
00:03:57
dramatically greater than the revenue
00:03:59
anyone getting from the web in the 90s
00:04:02
so everybody is going Allin and also it
00:04:04
plays to their strength in this in the
00:04:06
sense that they already have a captive
00:04:08
audience to to roll out AI applications
00:04:10
to and also they've learned from the
00:04:12
father that if you have the advantage of
00:04:14
cheap Capital you leverage that
00:04:16
advantage and you go hard at capex to
00:04:20
try and pull away from everybody else so
00:04:23
they're doing that they're like look our
00:04:24
advantage is we have access to cheaper
00:04:26
Capital because of our market cap and
00:04:27
our PE so we are going to turn turn on
00:04:30
the spending jots here's a fun stat 40%
00:04:32
of S&P 500 companies discust AI in their
00:04:35
earnings calls I mean for you know what
00:04:39
is it only like 20% are tech companies
00:04:41
so even non-tech companies are talking
00:04:43
about Ai and their earnings calls that's
00:04:44
up from 1% of them five years ago so
00:04:47
this is this is a tital wave that is
00:04:50
just sort of this is the tail wagging
00:04:52
all dogs so money well spent or we don't
00:04:55
know yet or impossible not to spend uh I
00:04:58
think it's money very well spent for
00:05:00
some players unfortunately existing
00:05:02
players who are running away with it I
00:05:03
do think there's a a jump on the band I
00:05:07
I don't think I think a lot of analysts
00:05:09
are going to say and I don't know if
00:05:10
Nestle's doing this but I think a lot of
00:05:11
analysts are going to say to some of
00:05:13
these second tier or consumer
00:05:15
companies okay rent Ai and spend money
00:05:18
on it but you shouldn't be spending
00:05:20
capex on it because I've heard about
00:05:21
some companies are trying to develop
00:05:22
their own llms and going very hard at
00:05:25
this but the stat I've seen that just
00:05:27
absolutely blew me away we tried to pull
00:05:29
together there's some data on this is
00:05:30
that if you look at the actual amount of
00:05:32
Revenue that AI applications are
00:05:34
generating right now you know open AI or
00:05:36
chat gbt the subscription things like
00:05:38
that it's about um $20 billion and it's
00:05:42
inspired a market capitalization
00:05:44
increase and this includes the amount of
00:05:46
money that companies are spending on
00:05:47
gpus but it's inspired a$3 trillion doll
00:05:51
increase in market capitalization so
00:05:53
right now the industry notionally is
00:05:55
trading at 150 times revenues and that
00:05:58
just does not feel sustainable that
00:06:00
means the revenues these applications
00:06:01
are garnering has to you know double
00:06:04
every year for the foreseeable future
00:06:06
which is a you know that's a big ask I
00:06:08
don't see how they avoid this these
00:06:10
spins I just don't see how they avoid
00:06:11
them yeah it's an arms race they have to
00:06:13
do it it's an arms race

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