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Speaker 1 (00:09):
You're listening to a podcast from newstalk st B. Follow
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Speaker 2 (00:16):
AI investments still on fire, but there is growing concern
that it may be a bubble. And there's also a
sense that maybe we're seeing a few things that are
quite similar to the dot com boom bust, vendor financing,
artificially inflated demand and so on. Sam Dickey from Fisher
Funds is with us. He Sam, what exactly is vendor
financing and why should investors care about this?
Speaker 3 (00:37):
Yeah, it's quite normal in many industries, so when suppliers
lend money to customers specifically to buy their own products,
essentially paying customers to be customers, And it's often used
in small business sales or equipment sales when the buyers
otherwise can't get credit easily. However, it is also used
at big turning points in technology, when massive bold investment
(01:01):
is required, and when suppliers start leading billions of dollars
to customers so they can buy their own products. It's
arguingly artificial demand, and history suggests we should stand up
and pay attention.
Speaker 2 (01:13):
Now, how does today's AI vendor finance and compare to
the dot com bubble.
Speaker 3 (01:18):
Some similarity. So in two thousand, let's use Lucent as
the poster child. It made networking in telco equipment required
for their early internet and mobile boom, and they and
others were lending to large telcos but primarily small startup
telcos and internet service providers to stoke demand for their product.
And the thing was those small telco customers had were
(01:41):
burning cash and had stretched balance sheets. Now today in Vidia,
AMD and Oracle are funding customers like open Ai, the
owner of ch GBT and Corwe who's a sort of
data center provider, to buy their chips or space and
their data center. So definitely some similarities. And for context,
in two thousand, Loocent and Co leant around twenty five
(02:02):
billion dollars, which was about one hundred and fifty percent
of their earnings back then. Today the numbers greater than
one hundred billion, but it's a smaller percentage of earnings
because the balance sheets and cash flow generation of the
companies today, both on the on the vendor side so
in Video and Co, but also their big customers like
Meter and Google are significantly healthier than Loosen to the
(02:24):
startup customers, so it's not nearly as severe as two
thousand yet, and at one point in two thousand, just
for context, loosen wasn't even selling equipment anymore. It was
just giving stuff away on credit and calling it a sale.
So there was some fraud back then as well.
Speaker 2 (02:38):
Yeah, what are some of the warning signs that we're
seeing today.
Speaker 3 (02:41):
I think it's apart from the circular nature of this
the money merry go round, it's the sheer scale of
the deal. So you and I talked last week about
the staggering deal where open ai sign a contract to
pay Oracle three hundred billion dollars over five years. Yet
open ai itself only has fifteen billion dollars in revenue
in total today and it just signed up to pay
(03:01):
one of its supplies three hundred billion dollars. And the
other one is AMD, which is sort of the big
lagagadd or the poor Man's and Video they signed away
ten percent of their equity to open Ai as a
customer just so open Ai would buy lots of its
chips so it could try and catch up to in video.
And that. The final one to keep an eye on
is the fact that a lot of the credit or
(03:23):
the loans are being backed or collateralized by these same
AI chips, which actually is quite reminiscent of how Loosens
customers used overinflated telecom spectrum licenses back in the day.
Is collateral for the debt? Right?
Speaker 2 (03:37):
Well, what does this mean to investors?
Speaker 3 (03:40):
No doubt that some frothy signs, and even today you
saw the Bank of England and the IMF warning people
about the risks of AI. What we don't know is
how much longer this exuberance can continue for and for now,
and this is important. The primary customers of these AI
chips are companies with incredibly strong balance sheets and cash
generation and that is quite different than two thousand. But
(04:02):
we do need to keep an eye on this head.
Speaker 2 (04:04):
Yeah, interesting stuff, Sam, thank you very much. Appreciate it. Sam,
Dickie Fisher funds.
Speaker 1 (04:08):
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