How AI is Draining Google’s Finances

Financial Reports - Clarity & Ethical Finance
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An insightful analysis of Alphabet's Q3 financial report, exploring how massive investments in artificial intelligence infrastructure and chips impacted its stock price and market capitalization. #googlefinancials #alphabetq3 #artificialintelligence #techinvesting #tldrnews #capecspend #googlecloud #marketcap #technology #finance
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Video Summary
AI GeneratedAlphabet's stock recently slumped by 10% following third-quarter financial results that revealed a concerning gap between soaring AI-driven expenditures and softening revenues, particularly within its core search business.
On Wednesday, Google's parent company Alphabet published
its financial results for the third
quarter of this year. And well, they weren't well received.
Spending came in hot, revenue
came in soft and the stock duly slumped by 10% in after hours trading,
wiping about $400 billion
dollars off Alphabet's market cap in barely a few hours.
So in this video we're going to
explain why Alphabet's stock
just slumped and why, shock,
it's all to do with AI.
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with us having strict rules when it
comes to the use of AI in our company.
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So simply put, the fundamental problem for Google
is that spending came in higher than expected
and revenues came in lower than expected.
And you don't need an MBA to know that's not good business.
Let's start with spending.
In the third quarter alone, which is July to September this year,
Google spent a whopping $87 billion,
which is up 22% from the same period in 2024.
This follows a broad trend, with spending in the year to date up 21%,
reaching $236 billion in the first three quarters.
Obviously the culprit here is AI, but what does that mean?
Well, we can break down Google's soaring AI spend
into two main categories, capital
expenditure and TPU inventory build-up.
If those things mean nothing to you,
don't worry, we'll explain each in detail.
And when we're done, you should have a clear idea
of what hyperscalers are actually spending
money on as they fund the AI build-out.
First, capital expenditure, or CapEx.
This refers to money being spent upfront
by Google towards its own infrastructure.
As you can see on their balance sheet,
this value of the company's physical assets
has leapt up since last year, which reflects growing capex investments.
Right there you can see $51.4 billion spent in the last quarter alone,
which we're told is funding Google's AI build-out.
But what on earth is that money being spent on?
Well, according to CFO Anat Ashkenazi,
it's a 65-35% split between active computing hardware
and physical data center infrastructure.
The computing stuff is essentially GPUs,
CPUs and TPUs, along with a tech that allows huge
chip clusters to communicate with each other.
The data centre's costs go towards physical buildings,
their energy supplies and cooling systems.
So that's CapEx, next is TPU inventory.
Google's AI build out strategy is two pronged.
On the one hand they're building out
their own computing power so they can
reap the rewards of the AI boom.
On the other hand they're acting a bit like Nvidia
and designing their own specialised AI chips called TPUs
or Tensor Processing Units,
which they plan to sell on to clients like Anthropic, Apple and Oracle.
If you look at that inventory line on the balance sheet,
you can see that since last year an additional $10.9 billion has
been spent building up Google's inventory.
A few years ago, that line would have reflected products
like Pixel phones, sitting in warehouses waiting to be sold.
Now we're told that the figure
is almost entirely accounted for by TPU building.
But before you leap to conclusions,
there's an important point here to keep in mind,
which illustrates that Google's AI spend isn't without justification.
Google's cloud CEO, Thomas Kurian,
Pointed out in Wednesday's earnings call
that the company only produces components
and builds TPU inventory after signing contracts with customers.
In other words, while this multi-billion dollar figure
is sticking out on their books like a sore thumb,
those processors are going to be shipped soon and turn into revenue.
In broad terms this speaks to a dynamic in the AI build-out
which benefits hyperscalers like Google,
Amazon and Microsoft over companies further down
the food chain like OpenAI and Anthropic.
Sure the hyperscalers are spending huge
amounts building out America's computing power
but they also have significant commitments from enterprise customers
which if all goes well means huge revenues will follow.
Of course we'll be the first
to admit that if all goes well is doing
a lot of heavy lifting in that sentence.
That brings us to the other side of the ledger – revenues.
At first glance, revenues looked pretty good.
Total revenue for the quarter came in at $127.6
billion, only a tad below analysts' forecast of $128 billion
and up 25% compared to a year ago,
i.e. to the third quarter of 2025.
The thing that slightly spooked the markets, however,
was where that revenue came from.
For context, Alphabet's revenues are often broken down into
into three segments.
Google services, which covers stuff like ad revenues
from Google search and YouTube,
as well as subscription fees.
Google cloud, which basically rents out computing power
and software to businesses
and other organisations,
so they don't have to build and run their own data centres.
And other bets, which covers
the loss making more experimental businesses,
and is usually a relatively small slice of the overall pie.
Historically Google services has accounted
for the vast majority of all revenues and has been
by far and away the most profitable part of the business.
The thing that spooked the markets this
time around is that Google services revenue came
in below forecast at 96 billion dollars.
That's up 11% year on year
but down slightly compared to the previous quarter.
This was in part because revenues from Google Search,
historically by far the largest and
most profitable part of Alphabet's business,
came in at $63.3bn, about $1.5bn below forecast
and basically flat on the previous quarter.
The only reason that headline revenues came
in line with expectations is because
of an above forecast print from Google Cloud,
which generated about $30bn in revenues for the quarter,
roughly $2bn more than forecast.
Now, at this point you might be asking, what's wrong with all this?
It sounds like Alphabet is essentially diversifying,
becoming less singularly reliant on the services
part of the business, and offsetting any shortfalls over there
with more revenues elsewhere, like
Google Cloud.
And yet, while diversification is generally a good thing,
Google services has been a supremely
reliable money printing machine for Alphabet for years now,
and markets apparently aren't
convinced that other parts of the business,
like AI, can truly fill its shoes.
Google Search, for instance,
has been a money printing machine, in large part because it's
had a near monopoly on the search engine market for years,
if not decades now.
It's nice that Google Cloud is making money,
but it only became consistently profitable
in around 2023, and it's not obvious,
at least to the market, why it would ultimately
be as profitable as, say, Google Search,
given the lack of any obvious moat.
At the same time, the trend lines look like
they're squarely headed in the wrong direction
for search at the moment,
as people move away from traditional search towards AI chatbots.
Alphabet themselves admitted on Wednesday
that the growing popularity of Google's AI mode
was taking a toll on search revenues,
because AI queries apparently have lower monetisation rates.
All in all this combination of lower revenues
and lots more spending meant that Alphabet's free cash
flow came in at negative nine billion dollars,
down from negative 5.9 billion dollars in the
previous quarter and only the second quarter
in the red since Alphabet went public in 2004.
So that's Alphabet's financial situation right now.
They're in a somewhat risky position which
explains the stock dip this week
but there's certainly room to recover if their bet on AI pays off.
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