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Mike Rugnetta: Friends, hello,
and welcome to Never Post, a

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podcast for and about the
Internet. I'm your host Mike

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Rugnetta. This intro was written
on Tuesday, 02/24/2026 at

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03:04PM eastern, and we have a
just in time show for you this

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week. In this episode, I chat
with Jeffrey Parkin of

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rogue.site and Rory Carroll of
alloymag.com about how the chip

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shortage caused by the
construction boom in AI data

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centers will come not just for
the PC market, but also video

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games, automobiles, and
countless other consumer

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industries. How did this happen?

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Why is there no easy way out?
And how should you as a consumer

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be thinking about these things?
But first, we're gonna take a

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quick break. You're gonna listen
to some ads unless you're on the

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member feed. And when we return,
we're gonna talk about a few of

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the things that have happened
since the last time you heard

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from us.

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Baby, can't you see? I'm
calling. A guy like you should

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wear a warning. It's dangerous.
I'm falling for six stories this

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week.

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New Mexico has passed the first
statewide Internet affordability

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law in The United States. This
month, governor Grisham signed

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into law legislation that will
allow the state to provide up to

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$30 a month to households to
subsidize an Internet connection

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with a statewide cap of
$45,000,000 annually. On

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01/01/2022, the Federal
Communications Commission

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launched their affordable
connectivity program or ACP,

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which according to its own
dashboard, set aside a total of

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$14,200,000,000 and spent
715,000,000 per month to help

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American households pay their
Internet bills. That program was

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discontinued on 06/01/2024 after
funding rollout and adoption

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issues. No federal assistance
program is planned to take its

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place, so New Mexico is the
first state to take the issue up

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itself.

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TikTok is doing just fine. The
platform's US operations were

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recently taken up by a new
conglomerate of owners. You can

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see our previous news episode
for details on that. And

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following that transition, its
user base remains at around 95%

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of what it was beforehand,
reports Censor Tower. CNBC

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writes quote, early narratives
of a mass user exodus prompted

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by service outages and
censorship concerns now appear

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overstated.

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And they continue later, the
average daily time spent by

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American users on the platform
has since returned to around

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eighty minutes after dipping to
an average of seventy seven

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minutes during the week of the
reported disruptions, end quote.

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TechCrunch reports that, quote,
competing video apps like

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Upscrolled and Skylight Social
saw rapid user adoption as some

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looked for TikTok alternatives,
end quote. But according to

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widely shared usage data, many
people who left appear to have

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returned within days. Hey. Hey.

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Whatever happened to Tmall? The
international shoddy goods

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retailer had a meteoric rise
alongside competitors like the

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TikTok shop, but has faced
recent challenges as regulators

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in Turkey, the EU, and Poland
have set their sights on the

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site according to rest of world
magazine. The retailer is being

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investigated for misleading
advertising, undisclosed

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subsidies from the government of
China, and monopolistic

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practices amongst other charges.
Since 2024, Tmall's parent

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company, PPD Holdings, has
posted a $45,000,000,000 revenue

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loss down from around 60 to
15,000,000,000. In the coming

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year, the expiration of several
de minimis duty exemptions

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around the world threatens their
bottom line even further.

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The content algorithm on x has
real world political impacts. A

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new study in the journal Nature
found that people subjected to

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an algorithmic feed on Elon
Musk's social network were more

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likely to adopt conservative
political positions quote,

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particularly regarding policy
priorities, perceptions of

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criminal investigations into
Donald Trump, and views on the

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war in Ukraine, end quote.
People would follow

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algorithmically promoted, quote,
conservative activist accounts

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and would continue following
them even after algorithmic

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service was discontinued. People
involved in the study, however,

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did not exhibit shifts in self
reported effective polarization,

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which is measured via questions
about, quote, life satisfaction,

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partisanship, and fueling
thermometers for Democrats and

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Republicans. Meaning, though
their attitudes may have

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shifted, they were themselves
unaware of the shift.

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Jeffrey Parkin: You got more?

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Mike Rugnetta: No. Goldman Sachs
has just launched an AI free

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index fund. SPXX AI lets you
quote invest in the S and P 500

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benchmark index minus all things
AI, reports Axios. This as

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discussion of the so called AI
bubble reaches increasingly many

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corners of financial speculation
and well, the economy. Funds

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like SPXx AI allow investors the
security of a highly diversified

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index while isolating their
exposure to what they may feel

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is the risky bet of robots that
generate pictures of monkeys in

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bikinis.

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Goldman refers to the stocks
which make up the fund as quote,

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old economy stocks. Polymarket
has partnered with Substack,

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getting a start on what is
quickly shaping up to be the

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nightmare blunt rotation of
platforms. The partnership will

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allow, quote, Substack users to
integrate Polymarket's

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prediction data directly into
their content, end quote.

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According to a thehill.com story
that reads a bit like a press

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release, if I'm being honest.
Substack claims a fair number of

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their top newsletters are
already making use of the

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prediction market platform's
data to write about current

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events, with Polymarket going so
far as to say journalism is

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better when it's backed by live
markets.

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For those not in the know,
Polymarket and other related

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platforms like Kalshi allow
people to place money on the

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outcome of everyday events, most
regularly sports related, But in

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practice, the quote markets
range from wagers on the

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likelihood of Jesus' return to
The US striking Iran. Polymarket

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and its adherents claim these
quote markets provide insight

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into newsworthy events and the
unfolding of culturally moments

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thanks to the wisdom of crowds.
Something anyone who has spent

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even ten minutes online will
know is complete bullshit

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outside the walls of Wikipedia
and maybe, let's say, 60% of

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Reddit on a good day.

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Rory Carroll: My lady.

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Mike Rugnetta: And finally,
artificial intelligence needs

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Taiwan. The single biggest
threat to the world economy, US

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treasury secretary Scott Besson
said at Davos last month. The

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single biggest point of single
failure is that 97% of the high

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end chips are made in Taiwan,
end quote, and everyone wants

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them. No industry more so than
tech who has made a run on the

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world's supply of various
semiconductor products from

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processors to RAM to storage in
their haste to build AI data

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centers. And this is the case
most notably in The US and

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China, two countries currently
locked in a heated rivalry.

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The soothsayers for the American
economy, which is now not much

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more than a pile of consumer
goods balanced atop a few AI

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data center toothpicks, have
grown increasingly wary of

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China's technological advances,
going so far as to consider it a

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matter of national security to
quote, implement countrywide

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controls on key choke point
semiconductor manufacturing

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equipment and subcomponents, end
quote, so that they cannot make

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their way into the country. They
are also aware that China could,

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at any moment, blockade Taiwan
and cut off the world's supply

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of advanced semiconductor
technology. As such, The US has

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been attempting to broker a
trade deal with Taiwan. One

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aspect of which would involve
the country assisting in opening

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facilities in The United States
with US commerce secretary

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Howard Lutnick claiming the
country would move 40% of its

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capacity stateside. Taiwan's
vice premier Chen Lichen,

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however, described this outcome
as simply not possible.

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Not only because, in her words,
it's impossible to allocate

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based on production capacity,
but also because The US doesn't

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currently have the labor pool to
support the industry and TSMC,

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Taiwan's largest and most
accomplished chip manufacturer

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who contracts with Apple and
Nvidia among others is one of

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the island nation's biggest
deterrents against China who

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relies on their output for its
own tech sector. Global reliance

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on Taiwan's manufacturing has
been called its silicon shield

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against Chinese aggression. The
upshot here is any capacity to

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build chips in The US is years
and maybe decades away, but

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there is a looming a chip
shortage now. One that's about

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to touch upon nearly every major
industry, a broad swath of

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consumer goods ranging from
video games to cars. How did we

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get to this point?

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What can we expect from the next
couple years, and how should we,

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as mere consumers prepare? After
a short break, me, Jeffrey

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Parkin, and Rory Caroll discuss.
Joining me are Jeffrey Parkin,

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co owner and founder at the
independent video game news and

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criticism site rogue.site.
Jeffrey, thanks for being here.

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Jeffrey Parkin: Thank you.

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Mike Rugnetta: And Rory Carroll,
co founder, publisher and

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editorial director at the
independent car culture site

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alloymag.com. Rory, appreciate
it.

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Rory Carroll: Hey, thanks for
having me.

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Mike Rugnetta: So here on
Neverpost and your respective

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sites, we've covered a lot of
these headlines. Demand for

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memory and storage space has
skyrocketed caused by the

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construction boom in AI data
centers. And this means that

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those things are gonna be harder
and harder to get a hold of for

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consumers, which means that
their prices are gonna

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skyrocket. And this is something
that folks, if they want to have

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direct experience of this right
now, they can go to newegg.com

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or their computer retailer of
choice, search for, let's say,

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RAM sticks or an SSD and, you
know, brace themselves. In some

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scenarios, there are prices that
are four to five times higher

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than they were as recently as
about a year ago.

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But the thing that I think has
gone a little bit underreported

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in a lot of this is that this is
also the case for entire

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industries, two of which, we're
gonna discuss with you guys,

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experts in them respectively,
right now, video games and

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automobiles. So my first
question for the both of you is

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just, when manufacturing and
distribution of these things is

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working as expected, like, on a
normal Thursday, like, what

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should this process look like
for video games and for cars?

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Like, who is supplying the
components for what purpose and,

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like, how do they get to where
they need to go?

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Jeffrey Parkin: I'm actually
gonna jump in first because

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video games, especially
consoles, work on a really weird

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cadence. The PS five and the
newest Xbox, the series x, came

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out in 2020. So there's this
huge boom in manufacturing and

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releasing them, and then it dies
off over the next roughly eight

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years or so. Ideally, like we
saw with the Switch two, there's

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all of the purchasing of these
semiconductors and microchips

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and RAM and everything else that
go into the consoles that you

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buy, and then they just maintain
their stock as necessary. And

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the reason that this has come up
for us recently, it's about time

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to be talking about the next
generation of video game

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consoles, like the PS six and
whatever bizarre amalgamation of

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letters Microsoft comes up with.

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The news with all of the AI data
centers buying up everything is

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that those big companies, Sony
and Microsoft, are probably

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going to have to push out their
next launch.

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Mike Rugnetta: And so are they
buying huge supplies of these

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components for launches and
then, like, smaller amounts as

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demand dwindles.

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Jeffrey Parkin: That is my
understanding of it.

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00:13:43,890 --> 00:13:44,770
Mike Rugnetta: Yeah. Got it.

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Jeffrey Parkin: I know, like,
cars come out every year. So I

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imagine that the process is a
lot different.

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00:13:51,010 --> 00:13:53,250
Rory Carroll: Well, it's
actually not super different. I

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think, like, cars do come out
and there's a new model year

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over year, but really cars are
on a five or ten year cycle. So

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what you'll usually get is the
introduction of a new model,

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which is like, generally
speaking, a whole new

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architecture, a whole new, you
know, from the wheels up new

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car, then you'll get four or
five years later, you'll get a

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refresh, which is like, okay,
maybe with new headlights, new

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exterior design, some new
technology inside, and then

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you'll push that another five
years before you kind of get to

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a new model. Sometimes it lasts
longer than that. Sometimes it's

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a little bit shorter than that
depending on how things are

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selling.

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But that's generally the the
schedule. So, you know, the auto

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auto industry is not super
different from any other

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industry in that this stuff gets
planned, you know, ten and

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fifteen years out. And, like,
historically, you know, back

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back in the old old days, you
used to you'd build cars in this

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similar cycle. You'd stock up on
all the parts that you're going

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to need for the entire
production run of the car or or

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you'd you'd have them being
built kind of simultaneously.

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And just like every other
industry kind of in the last

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twenty, thirty years, everybody
has gone to this, like, just in

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time where it's like stuff
should ideally be being produced

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and shipped to you exactly the
moment you need it.

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So you should not have any
stock. You should not because

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all this all the obviously,
like, stock and warehousing

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stuff cost money. That's all
additional costs. So, like,

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ideally, with anything else,
you're getting stuff as it is

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needed the second it is needed
on the assembly line. So that's

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kind of like the ideal
situation.

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Obviously, the car companies,
they've had this happen before.

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This exact thing happened for
different reasons in 2021, and

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it was a huge catastrophe for
everybody. And they've spent the

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last, you know, five years or so
figuring out how to prevent this

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from happening again. Everyone
took this very seriously, and

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everybody has taken a lot of
kind of affirmative steps to

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prevent it from happening. There
are some real difficulties in

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solving this problem.

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I

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Mike Rugnetta: and that you
know, Rory, you said something

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that gets to the next question
that I wanna ask, which is,

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like, this is a lesson that I
have learned maybe a few times

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since the pandemic began, which
is, all of this comes from one

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place or, like, a relatively
small number of places, and

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there's no plan b? Like, it's
just so shocking to me that

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consumer electronics, AI data
centers, video games, and

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automobiles are all being
supplied by the same relatively

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small number of manufacturers.

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Jeffrey Parkin: No. Yeah. There
are big names that supply

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everybody, and it's really
specific manufacturing. Like,

258
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even a company as big as Samsung
says that it'll take two years

259
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before they can get another
plant up and running.

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Mike Rugnetta: Well,

261
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Rory Carroll: yeah. There there
are big structural issues with

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spinning this stuff up. And I
think too, I I mean, I think

263
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this is this is something that's
kind of plaguing the auto

264
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industry generally in The
States. You know, if you ask a

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car executive if you have asked
a car executive anytime in the

266
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last twenty years what they want
from the government, they will

267
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tell you it's stability. It's
like, they don't care what the

268
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standards are.

269
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They don't care what the
emission standards are, any of

270
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that stuff. Mean, they do. But,
like, the big thing that they

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want is to be able to on this
ten or twenty year cycle predict

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what's going to happen. And I
think the answer to a problem

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like this in the sixties and
seventies would have been, we

274
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will just build our own
semiconductor facility. We will

275
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just build our own.

276
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And that may take us a few
years, but we're confident that

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coming out of the other end of
it, it'll be a good investment

278
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and we'll have control over our
own supply chain and yada yada.

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That's obviously not the
response you're getting now. I

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think a lot of that is this
instability where it's like

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you're gonna face these kind of
transient issues for a period of

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time. The world is going to
change change very drastically.

283
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You don't wanna be stuck with
the factory that's at lower

284
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capacity or working at low
capacity.

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And it's like you can't trust
the state or you can't trust the

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00:17:59,390 --> 00:18:03,310
the government to to be asking
you to do the same things from

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00:18:03,310 --> 00:18:05,790
administration to
administration, which is like a

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very strange I mean, it's to me,
like, as a as a watcher of the

289
00:18:08,510 --> 00:18:11,955
car business, watching the
government act in kind of

290
00:18:11,955 --> 00:18:15,475
defiance of the car business,
like, very strange. Like, that's

291
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a that's never happened to me
before. I've never seen that

292
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happen in my lifetime. Or it's
happened, like, Clean Air Act.

293
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You know what I mean?

294
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Like, big momentous. But but
this is, day to day, hey. We

295
00:18:26,830 --> 00:18:28,830
understand that's what you need
to be competitive globally, but

296
00:18:28,830 --> 00:18:30,510
we're not giving it to you.
Like, that's never happened

297
00:18:30,510 --> 00:18:33,950
before. It's difficult to
imagine any other response for

298
00:18:33,950 --> 00:18:38,350
an automaker but to just hoard
whatever they can get from their

299
00:18:38,350 --> 00:18:39,230
suppliers today.

300
00:18:39,230 --> 00:18:42,115
What else would you do except
buy as many chips as you can,

301
00:18:42,115 --> 00:18:45,155
which is the same response that
every other manufacturer is

302
00:18:45,155 --> 00:18:45,635
having.

303
00:18:45,715 --> 00:18:49,555
Jeffrey Parkin: I actually wanna
step back for a second because

304
00:18:49,795 --> 00:18:53,235
as somebody who knows how to
turn on a car and not much else,

305
00:18:53,760 --> 00:18:58,240
my first reaction in seeing
that, like, the PS six is

306
00:18:58,240 --> 00:19:01,680
running up against car
manufacturing was kinda

307
00:19:01,680 --> 00:19:05,840
confusion. Yeah. And I have
since come to realize, like,

308
00:19:05,840 --> 00:19:10,895
it's not just the in dashboard
displays that this is affecting.

309
00:19:10,895 --> 00:19:14,895
Can you, Rory, talk about where
these chips are even going and

310
00:19:14,895 --> 00:19:16,015
what they're used in?

311
00:19:16,175 --> 00:19:20,015
Rory Carroll: Oh, yeah. I think
that, you know, the the most new

312
00:19:20,015 --> 00:19:24,630
cars these days will have more
than a thousand of these chips.

313
00:19:24,950 --> 00:19:29,670
Some of them have way more than
that. But I think what we're

314
00:19:29,670 --> 00:19:32,710
looking at in a a modern car, I
think people are, like, very,

315
00:19:32,710 --> 00:19:36,390
very apt to say, like, a car is
a computer on wheels these days.

316
00:19:36,390 --> 00:19:39,065
And it's I think, like, that
actually undersells it quite a

317
00:19:39,065 --> 00:19:43,305
bit because the amount that
you're asking a car to do, a

318
00:19:43,305 --> 00:19:46,665
modern car, just to move down
the road as far as, like,

319
00:19:46,665 --> 00:19:48,985
computing demand is crazy.

320
00:19:48,985 --> 00:19:52,340
I mean, the the easy stuff,
like, okay, who's you know, how

321
00:19:52,340 --> 00:19:55,620
are you controlling the
infotainment screen in a a car

322
00:19:55,620 --> 00:20:00,340
in the eighties? Your HVAC, so
heat and cold and all that stuff

323
00:20:00,340 --> 00:20:03,540
would be controlled by a series
of cables. That's all digitally

324
00:20:03,540 --> 00:20:07,355
controlled now. How do you open
your gas cap door? There's that

325
00:20:07,355 --> 00:20:11,995
that kind of stuff, but there's
also the actual behavior of the

326
00:20:11,995 --> 00:20:15,115
car is is very heavily
controlled by computers.

327
00:20:15,115 --> 00:20:19,460
So I think, like, as cars have
gotten larger, the cars have in

328
00:20:19,460 --> 00:20:23,060
turn gotten heavier. Batteries,
especially like modern cars with

329
00:20:23,060 --> 00:20:27,220
with hybrid batteries or EV
batteries, got very heavy. And

330
00:20:27,220 --> 00:20:30,420
in order to keep the car, like,
moving down the road safely,

331
00:20:31,025 --> 00:20:33,585
that requires a ton of computing
power. So you have sensors that

332
00:20:33,585 --> 00:20:35,425
are reading your wheel speed.
You have sensors that are

333
00:20:35,425 --> 00:20:36,865
reading brake temperature.

334
00:20:36,865 --> 00:20:40,065
You have sensors that are
reading comparing all that stuff

335
00:20:40,065 --> 00:20:44,705
together and then making the
actual suspension or brakes in

336
00:20:44,705 --> 00:20:49,290
the car behave a certain way to
either maintain your comfort or

337
00:20:49,290 --> 00:20:52,090
to maintain traction on the
road. So it's like I mean,

338
00:20:52,090 --> 00:20:54,570
there's there's this is like a
longer discussion, but I I had

339
00:20:54,570 --> 00:20:58,170
this super long discussion with
Porsche a few months ago. Their

340
00:20:58,170 --> 00:21:01,245
their cars have gotten, as all
cars have, have gotten heavier

341
00:21:01,245 --> 00:21:04,445
and heavier and heavier. Over
the last ten years, as they know

342
00:21:04,445 --> 00:21:06,685
this, they they recognize the
cars are getting heavier. So

343
00:21:06,685 --> 00:21:11,005
they have now three separate
suspension technologies that are

344
00:21:11,005 --> 00:21:14,045
designed to mask the weight of
the car for the driver.

345
00:21:14,045 --> 00:21:18,920
So the car in real time is
sensing where it is in the road

346
00:21:18,920 --> 00:21:21,480
and then in some cases, like
it's being suspended from a

347
00:21:21,480 --> 00:21:26,520
helicopter adjusting the pitch
Woah. And the dive of the car to

348
00:21:26,520 --> 00:21:29,400
erase the sensation that you
would have of a very heavy car

349
00:21:29,505 --> 00:21:32,785
diving under braking. There are
all these knock on effects that

350
00:21:32,785 --> 00:21:37,985
make these cars infinitely more
complicated and heavier and

351
00:21:37,985 --> 00:21:39,985
technically better. Like they
are faster, they're more

352
00:21:39,985 --> 00:21:41,985
efficient, they're, you know,
they're yada yada yada. Like

353
00:21:41,985 --> 00:21:43,505
they do all this other stuff.

354
00:21:43,745 --> 00:21:47,820
The cars are being asked to defy
physics. They're being asked to

355
00:21:48,220 --> 00:21:51,260
deliver performance and
efficiency that, like, should

356
00:21:51,260 --> 00:21:53,980
not be possible. And, like,
that's how you end up with 3,000

357
00:21:53,980 --> 00:21:57,500
sensors in the car. It's like or
3,000 chips. Like, that's how it

358
00:21:57,500 --> 00:21:57,740
happens.

359
00:21:57,825 --> 00:22:00,625
Mike Rugnetta: The car is not a
not necessarily a computer on

360
00:22:00,625 --> 00:22:05,105
wheels, but a data center on
wheels, and therefore, the the

361
00:22:05,105 --> 00:22:08,865
competition there is maybe makes
a little bit more sense. I'm

362
00:22:08,865 --> 00:22:12,800
curious. I would love to ask you
to a question that I don't you

363
00:22:12,800 --> 00:22:15,040
might not know the answer to,
but I'm curious if you've come

364
00:22:15,040 --> 00:22:18,480
across a justification in the
reporting that you've done so

365
00:22:18,480 --> 00:22:22,240
far, which is like, is there a
business case for chip

366
00:22:22,240 --> 00:22:26,320
manufacturers to supply data
centers almost exclusively?

367
00:22:27,015 --> 00:22:30,855
Because it seems like there's so
much of a downside, you know,

368
00:22:30,855 --> 00:22:35,655
just maybe societally or, you
know, with in their relationship

369
00:22:35,655 --> 00:22:40,215
with other industries. Like, are
they being paid more per chip by

370
00:22:40,695 --> 00:22:41,975
Sam Altman and crew?

371
00:22:42,470 --> 00:22:46,070
Jeffrey Parkin: The answer is
and I'm gonna try to avoid,

372
00:22:46,070 --> 00:22:49,350
like, angry phrases like short
termism here,

373
00:22:49,350 --> 00:22:50,070
Rory Carroll: but Sure.

374
00:22:50,310 --> 00:22:53,990
Jeffrey Parkin: Data center
hyperscalers like Meta, Google,

375
00:22:53,990 --> 00:23:01,895
Amazon are buying 70% of the
supply of these semiconductors

376
00:23:01,895 --> 00:23:06,375
at this point, there's
absolutely no reason not to sell

377
00:23:06,375 --> 00:23:07,015
to them.

378
00:23:07,015 --> 00:23:07,335
Mike Rugnetta: Mhmm.

379
00:23:07,335 --> 00:23:10,650
Jeffrey Parkin: If they're
building half $1,000,000,000,000

380
00:23:10,650 --> 00:23:14,970
worth of data centers this year,
why wouldn't you get in on that?

381
00:23:15,050 --> 00:23:19,930
Yeah. And that's exactly what we
saw with Micron just a few

382
00:23:19,930 --> 00:23:26,925
months ago. Micron, shut down
their consumer RAM supply to

383
00:23:26,925 --> 00:23:30,685
focus exclusively on high
bandwidth memory for data

384
00:23:30,685 --> 00:23:31,245
center.

385
00:23:31,325 --> 00:23:33,885
Rory Carroll: I think this whole
thing is a really interesting I

386
00:23:33,885 --> 00:23:37,725
think, like, this is one of the
fun things about cars generally,

387
00:23:37,725 --> 00:23:41,000
but it's like you get all these
great illustrations of kinda

388
00:23:41,000 --> 00:23:44,680
like what the limits of the
system are. You know, you have

389
00:23:45,560 --> 00:23:48,440
all of these companies acting in
their own short short term self

390
00:23:48,440 --> 00:23:51,720
interest because they're all
responsible to their

391
00:23:51,720 --> 00:23:55,505
shareholders on a quarter by
quarter basis, and they're all

392
00:23:55,505 --> 00:23:59,505
so well optimized. They all know
exactly what kind of a shortage

393
00:23:59,505 --> 00:24:02,625
they can survive and what kind
of where they can get extra

394
00:24:02,625 --> 00:24:06,305
supply when they need to. Like,
this they they know so much, but

395
00:24:06,305 --> 00:24:11,150
there's so little incentive for
anyone to make a long term

396
00:24:11,150 --> 00:24:14,830
investment in anything. Even if
they know down the road, it

397
00:24:14,830 --> 00:24:16,350
would it would help them or
whatever.

398
00:24:16,670 --> 00:24:21,550
The risk or the the fear of of
being kind of hung out on a big

399
00:24:21,550 --> 00:24:25,175
investment is it keeps people
from making those long term

400
00:24:25,175 --> 00:24:29,175
decisions. And I think, like,
you run up against these, and I

401
00:24:29,175 --> 00:24:30,935
think, like, all of
manufacturing in The United

402
00:24:30,935 --> 00:24:32,855
States and all these kind of big
companies in United States are

403
00:24:32,855 --> 00:24:38,960
running up against these, like,
very hard limits to what this

404
00:24:38,960 --> 00:24:42,080
economic system will do. Yeah.
Which is really, really

405
00:24:42,080 --> 00:24:46,080
fascinating. I mean, it's it's
it'd be fun to watch if it

406
00:24:46,080 --> 00:24:46,800
wasn't like

407
00:24:46,880 --> 00:24:47,120
Mike Rugnetta: Us.

408
00:24:47,200 --> 00:24:48,480
Rory Carroll: Your four zero one
k. Yeah.

409
00:24:50,135 --> 00:24:52,695
Mike Rugnetta: It makes me think
of, you know, like, I see in

410
00:24:52,695 --> 00:24:57,095
reporting, you know, Apple is
able to say that they are gonna

411
00:24:57,095 --> 00:25:00,295
be able to continue
manufacturing phones and laptops

412
00:25:00,295 --> 00:25:03,415
and, you know, a bunch of their
a bunch of their goods without

413
00:25:03,800 --> 00:25:07,400
having to increase prices or not
having to increase them too much

414
00:25:07,400 --> 00:25:10,680
because they were able to secure
these long term supply deals

415
00:25:10,680 --> 00:25:14,280
with all of these manufacturers.
And I'm assuming it's just the

416
00:25:14,280 --> 00:25:16,440
case that, like, they are able
to do that, and they're able to

417
00:25:16,440 --> 00:25:18,760
do that with confidence and at
the scale that they can because

418
00:25:18,760 --> 00:25:22,785
they are Apple. And that as big
as the video game industry and

419
00:25:22,785 --> 00:25:26,545
the automobile industry are,
they just aren't Apple, and so

420
00:25:26,545 --> 00:25:30,065
they aren't doing long term
deals. You know, they're they're

421
00:25:30,065 --> 00:25:32,785
doing the sort of just in time
production like you described,

422
00:25:32,785 --> 00:25:33,905
Rory. Is that that's the case?

423
00:25:34,080 --> 00:25:35,120
Rory Carroll: Yeah. It's a
buying power

424
00:25:35,120 --> 00:25:35,600
Mike Rugnetta: thing. Yeah.

425
00:25:35,600 --> 00:25:37,120
Rory Carroll: A good year
selling cars in The United

426
00:25:37,120 --> 00:25:38,800
States is, like, 15,000,000
cars.

427
00:25:38,960 --> 00:25:42,640
Jeffrey Parkin: Yeah. And that's
that's slightly less than the

428
00:25:42,640 --> 00:25:47,405
Switch two is sold Yeah. Since
last July, I think.

429
00:25:47,405 --> 00:25:49,805
Mike Rugnetta: So it's just
orders of magnitude of

430
00:25:49,805 --> 00:25:50,445
difference.

431
00:25:50,445 --> 00:25:52,845
Jeffrey Parkin: A really good
comparison that I had to look up

432
00:25:52,845 --> 00:25:59,050
because I just didn't know.
NVIDIA's Next AI card, like the

433
00:25:59,050 --> 00:26:05,050
entire card that you plug into a
server rack, has about 30 times

434
00:26:05,050 --> 00:26:10,570
as much RAM in it as a standard
computer or or a PS five for

435
00:26:10,570 --> 00:26:15,395
that matter. So Yeah. A single
card that goes into those giant

436
00:26:15,395 --> 00:26:20,035
server racks at a data center of
which there are hundreds of

437
00:26:20,035 --> 00:26:24,675
server racks. So suddenly, it's
these numbers are

438
00:26:24,675 --> 00:26:26,115
incomprehensibly huge.

439
00:26:26,540 --> 00:26:28,620
Rory Carroll: Yeah. And there
there is a really interesting I

440
00:26:28,620 --> 00:26:30,940
mean, again, another interesting
kind of case study. You know,

441
00:26:30,940 --> 00:26:35,260
the the CHIPS Act under the
Biden administration was one of

442
00:26:35,260 --> 00:26:38,460
these kind of, like, efforts by
the federal government to kind

443
00:26:38,460 --> 00:26:42,965
of address this issue. And they
they ended up passing a bill and

444
00:26:42,965 --> 00:26:46,005
getting a bunch of money
appropriated. The kind of

445
00:26:46,005 --> 00:26:50,885
intervening whatever it's been
four or five years since getting

446
00:26:50,885 --> 00:26:54,760
these facilities up and running
has been massively difficult and

447
00:26:54,760 --> 00:26:55,320
complicated.

448
00:26:55,320 --> 00:26:58,440
And I think, like, the Biden
administration towards the end

449
00:26:58,440 --> 00:27:01,160
was kind of scrambling to get
this money spent and ended up

450
00:27:01,160 --> 00:27:03,800
giving up on a bunch of, like,
labor and environmental

451
00:27:03,800 --> 00:27:05,880
protections that they had
promised to get this stuff

452
00:27:05,880 --> 00:27:10,265
through. Getting them built is
one thing. It's very expensive

453
00:27:10,265 --> 00:27:12,905
compared to places elsewhere in
the world where you'd build

454
00:27:12,905 --> 00:27:17,625
them. The United States does not
have the labor force for this,

455
00:27:17,625 --> 00:27:19,865
like people who aren't
accustomed to doing this. And

456
00:27:19,865 --> 00:27:22,870
then also their supply chain
getting these materials

457
00:27:22,870 --> 00:27:23,430
delivered.

458
00:27:23,430 --> 00:27:27,910
Like, this is a very mature
industry elsewhere in the world,

459
00:27:27,910 --> 00:27:32,310
in China specifically, and like
it is very, very difficult

460
00:27:32,310 --> 00:27:36,335
without a moonshot level kind of
investment and kind of some very

461
00:27:36,335 --> 00:27:38,255
strong handed public policy

462
00:27:38,415 --> 00:27:38,575
Mike Rugnetta: Yeah.

463
00:27:38,655 --> 00:27:41,775
Rory Carroll: To imagine, like,
moving something like that to

464
00:27:41,775 --> 00:27:42,735
The United States.

465
00:27:42,815 --> 00:27:46,175
Mike Rugnetta: I'm curious if
there is you know, the story of

466
00:27:46,175 --> 00:27:50,415
artificial intelligence over the
last couple years has been it's

467
00:27:50,020 --> 00:27:55,220
being taken up by increasingly
many industries, released the

468
00:27:55,380 --> 00:27:59,460
upper level management and the c
suite of various actors within

469
00:27:59,460 --> 00:28:04,180
those industries insisting that
it be implemented or used at

470
00:28:04,180 --> 00:28:07,265
certain points. And I'm curious
if you have a sense of if there

471
00:28:07,265 --> 00:28:11,745
is now, like, inter industry
drama, for lack of a better

472
00:28:11,745 --> 00:28:15,265
phrase. Like, is the automobile
industry looking at the tech

473
00:28:15,265 --> 00:28:17,905
sector? Is video games looking
at tech and being like, dog,

474
00:28:18,200 --> 00:28:21,400
like, what the fuck? You know,
like, we I thought we were in

475
00:28:21,400 --> 00:28:24,280
this together, and now, like,
like, this makes everything so

476
00:28:24,280 --> 00:28:25,000
much harder.

477
00:28:25,320 --> 00:28:27,320
Jeffrey Parkin: Like you said,
it's the c suite. Like,

478
00:28:27,480 --> 00:28:31,640
everybody up top is talking
about how AI is gonna change

479
00:28:31,640 --> 00:28:36,195
everything, and the people who
are actually doing it don't

480
00:28:36,195 --> 00:28:41,155
care. Like, don't use it, don't
want it. We focus a lot on indie

481
00:28:41,155 --> 00:28:44,595
games just because there are
more of them and they're more

482
00:28:44,595 --> 00:28:47,630
interesting to talk about
sometimes. But you're starting

483
00:28:47,630 --> 00:28:52,670
to see, like, made by a human in
in game descriptions, and, like,

484
00:28:52,670 --> 00:28:54,350
no AI was used.

485
00:28:55,070 --> 00:28:58,190
At the same time, you're
starting to see pushes for

486
00:28:58,190 --> 00:29:03,565
disclosures because there are,
Steam Next Fest starts today.

487
00:29:03,565 --> 00:29:06,925
There's a bunch of demos of
people promoting their games,

488
00:29:07,165 --> 00:29:13,000
and even Steam is starting to
push for, not require, a

489
00:29:13,000 --> 00:29:17,880
disclosure for how AI was used.
And I saw my first one today

490
00:29:18,280 --> 00:29:22,040
that was AI was used in the
coding of this game.

491
00:29:22,040 --> 00:29:24,120
Rory Carroll: You know, the car
industry has been really funny,

492
00:29:24,120 --> 00:29:27,215
especially over the last, like,
twenty, thirty years because the

493
00:29:27,215 --> 00:29:29,855
people now who are like in
charge of car companies are like

494
00:29:29,855 --> 00:29:32,815
in their fifties and sixties.
And they all have like this kind

495
00:29:32,815 --> 00:29:36,175
of scar tissue from from the
Internet and then from social

496
00:29:36,175 --> 00:29:39,135
media and like where it's like
they felt like they got left

497
00:29:39,135 --> 00:29:44,730
behind. And so the result of
that has been over this last,

498
00:29:44,730 --> 00:29:49,130
say, ten, twenty years of kind
of like the technology flim flam

499
00:29:49,210 --> 00:29:52,865
era of like building and selling
technologies that don't really

500
00:29:52,865 --> 00:29:56,305
have a use case. They've been
very eager to get wallet

501
00:29:56,305 --> 00:29:59,825
inspected by the Silicon Valley
set. And to to their credit, I

502
00:29:59,825 --> 00:30:04,145
mean, I think, like, everybody
watched Tesla's stock valuation

503
00:30:04,145 --> 00:30:07,105
go to $400 or $600 or whatever
it was.

504
00:30:07,570 --> 00:30:12,130
And GM who made $12,000,000,000
in a profit last year is, like,

505
00:30:12,130 --> 00:30:15,010
at 60. And I think a lot of
their board members are saying

506
00:30:15,010 --> 00:30:18,450
like, hey. Why isn't it not like
that for us? And the answer to

507
00:30:18,450 --> 00:30:21,410
to that for a lot of these
companies has been to get very

508
00:30:21,410 --> 00:30:26,715
heavily invested in the next
bleeding edge tech around, like,

509
00:30:27,435 --> 00:30:30,075
design and around manufacturing,
but also around, like,

510
00:30:30,075 --> 00:30:33,835
autonomous cars and ride sharing
and and all this other stuff. I

511
00:30:33,835 --> 00:30:38,070
think, like, right now, we're
seeing most of those companies

512
00:30:38,070 --> 00:30:40,390
feeling like they've been burned
by that.

513
00:30:40,390 --> 00:30:43,030
I don't think there's, a like
you said, I don't I don't think

514
00:30:43,030 --> 00:30:45,510
there's, like, a rivalry thing
happening. I don't think the

515
00:30:45,510 --> 00:30:47,990
auto industry is under any
illusions about, like, being on

516
00:30:47,990 --> 00:30:49,350
the same team as any other
industry.

517
00:30:49,825 --> 00:30:50,385
Mike Rugnetta: Yeah. Sure.

518
00:30:50,385 --> 00:30:53,265
Rory Carroll: But I I do think
that this this has felt a little

519
00:30:53,265 --> 00:30:57,825
bit more cautious. I mean, like,
I watched companies dump tens of

520
00:30:57,825 --> 00:31:00,305
millions of dollars into having
a virtual storefront in the

521
00:31:00,305 --> 00:31:04,240
metaverse, like, three years ago
or whatever or, like, do NFT

522
00:31:04,240 --> 00:31:08,080
stuff a few years ago. They seem
to be a little bit closer to

523
00:31:08,080 --> 00:31:11,360
hedging, I think, on this thing
than they have, which is good.

524
00:31:11,360 --> 00:31:12,800
Like, that's Yeah. That's smart.

525
00:31:12,800 --> 00:31:14,880
That's a that's like an
indication of having learned a

526
00:31:14,880 --> 00:31:18,555
lesson. Yeah. As someone who is
screaming when car companies

527
00:31:18,555 --> 00:31:21,595
were opening up metaverse
dealerships, this is like a

528
00:31:21,595 --> 00:31:22,555
welcome development.

529
00:31:22,875 --> 00:31:25,115
Jeffrey Parkin: It has always
felt like I grew up when

530
00:31:25,115 --> 00:31:28,315
computers were in a computer
room, and that's the place where

531
00:31:28,315 --> 00:31:31,640
you went. But it's always felt
like there's this disconnect

532
00:31:31,640 --> 00:31:36,920
between real world, like, your
car in the driveway stuff and

533
00:31:37,480 --> 00:31:42,295
entertainment and electronic
stuff is over here. And in

534
00:31:42,295 --> 00:31:49,655
writing about this and living in
2026, that disconnect between

535
00:31:49,975 --> 00:31:53,815
the computer room and the
driveway just doesn't exist

536
00:31:53,815 --> 00:31:58,000
anymore. Yeah. There's what,
three, four companies that make

537
00:31:58,000 --> 00:31:58,800
this stuff

538
00:31:58,880 --> 00:31:59,200
Rory Carroll: Yeah.

539
00:31:59,200 --> 00:32:01,760
Jeffrey Parkin: At a at a
handful of factories in the

540
00:32:01,760 --> 00:32:02,320
world.

541
00:32:02,320 --> 00:32:04,240
Rory Carroll: There are a few of
these companies making the the

542
00:32:04,240 --> 00:32:08,985
chips, but it's like there's one
supplier for the machine that

543
00:32:08,985 --> 00:32:11,625
actually writes the thing. It's
like, that's nuts. Like, that's

544
00:32:11,625 --> 00:32:16,585
crazy. Fifty years ago, you
would build excess capacity. In

545
00:32:16,585 --> 00:32:19,305
the current situation, it's like
everything is running on this

546
00:32:19,305 --> 00:32:22,745
kind of bare minimum up and down
the board, not just cars and not

547
00:32:22,745 --> 00:32:26,640
just chips, not just like,
everything across the board is

548
00:32:26,640 --> 00:32:30,000
running on this bare minimum,
like, the all of global

549
00:32:30,000 --> 00:32:32,560
electrical infrastructure or at
least like North American

550
00:32:32,560 --> 00:32:35,440
electrical infrastructure, which
is like, okay, what's the

551
00:32:35,440 --> 00:32:39,185
minimum amount of money we can
invest and still make a return

552
00:32:39,185 --> 00:32:39,585
on this?

553
00:32:39,585 --> 00:32:41,265
Mike Rugnetta: I mean, how
ironic is it? Right? That it's

554
00:32:41,265 --> 00:32:44,945
like you look at how you might
ameliorate some of these

555
00:32:44,945 --> 00:32:47,505
problems and you start to think
about the resources that would

556
00:32:47,505 --> 00:32:51,030
go into doing that. And it's not
like they don't exist. It's just

557
00:32:51,030 --> 00:32:53,430
they're all tied up in the bank
accounts of tech billionaires

558
00:32:53,430 --> 00:32:58,870
who are investing in, you know,
AI data centers and and the

559
00:32:58,870 --> 00:32:59,510
like.

560
00:32:59,670 --> 00:33:03,030
Rory Carroll: That money could
be working in the economy, the

561
00:33:03,030 --> 00:33:03,990
broader economy.

562
00:33:03,990 --> 00:33:05,525
Mike Rugnetta: I mean, it's
funny to think about what's

563
00:33:05,525 --> 00:33:08,885
going into making AI data
centers and, you know, did they

564
00:33:08,885 --> 00:33:12,245
just skip a step? Should they
have first sat down and been

565
00:33:12,245 --> 00:33:14,805
like, well, first, we need some
factories. Let's get some

566
00:33:14,805 --> 00:33:16,690
factories first and then Yeah.

567
00:33:16,690 --> 00:33:18,290
Rory Carroll: I mean, there's
there's no money in doing that.

568
00:33:18,290 --> 00:33:19,490
You're not gonna get to euro.

569
00:33:19,490 --> 00:33:19,890
Mike Rugnetta: Nope.

570
00:33:19,890 --> 00:33:21,970
Rory Carroll: But again, it's
like a that's a just a weird

571
00:33:21,970 --> 00:33:24,930
expression of the the system
now. It's just like, wow. That's

572
00:33:25,410 --> 00:33:27,090
these contradictions are getting
heightened.

573
00:33:27,090 --> 00:33:30,175
Mike Rugnetta: Yeah. Surely,
that's not a bad sign. I'm

574
00:33:30,175 --> 00:33:33,535
curious, like, for you guys,
like, what is there stuff that

575
00:33:33,535 --> 00:33:36,095
people should, like, look out
for? Like, what's gonna happen

576
00:33:36,095 --> 00:33:40,735
next? What is the attitude a
consumer should have at the

577
00:33:40,735 --> 00:33:40,975
moment?

578
00:33:41,770 --> 00:33:45,610
Rory Carroll: A good question. I
mean, the the price shift will

579
00:33:45,610 --> 00:33:49,290
be slower in cars than it will
be anywhere else because sales

580
00:33:49,290 --> 00:33:52,410
are so sensitive to price. I
think, like, you know, you'll

581
00:33:52,410 --> 00:33:57,655
see massive swings in
profitability based on a $2,500

582
00:33:57,655 --> 00:34:01,255
or $1,500 cash incentive on the
hood of a car the hood of a

583
00:34:01,255 --> 00:34:05,335
$50,000 car. Like and the
margins on them are very, very

584
00:34:05,335 --> 00:34:08,930
small. So I think, like, you
know, now if you're a consumer,

585
00:34:08,930 --> 00:34:10,690
it's not a time to freak out.

586
00:34:11,090 --> 00:34:14,130
If you can stomach the super
high interest rates that you'll

587
00:34:14,130 --> 00:34:17,970
pay for a new car right now,
it's fine to still do. And I

588
00:34:17,970 --> 00:34:21,835
would also say, like, twenty
years ago, the response to a

589
00:34:21,835 --> 00:34:25,835
situation like this or the
response to 2021 would be go buy

590
00:34:25,835 --> 00:34:31,435
a used car. Used car prices have
come down a little bit since the

591
00:34:31,995 --> 00:34:35,310
early twenty twenties, but
they're still very strong. I

592
00:34:35,310 --> 00:34:38,270
mean, the idea or the the time
when you go buy a good car for

593
00:34:38,270 --> 00:34:42,670
$2 or $2,500 and have it last
you a while is that's

594
00:34:42,750 --> 00:34:45,790
increasingly difficult to do. I
mean, I think, like, table

595
00:34:45,790 --> 00:34:47,310
stakes now is, $10 and up.

596
00:34:48,115 --> 00:34:51,315
So there's not a there's not a
hack to work your way around it.

597
00:34:51,315 --> 00:34:54,195
It's kind of like,
unfortunately, if you need a car

598
00:34:54,195 --> 00:34:57,315
to get around and live your
life, they kind of have you. So

599
00:34:57,315 --> 00:34:59,875
it's it's gonna be a minute
before this starts impacting new

600
00:34:59,875 --> 00:35:01,875
car prices and and
affordability, which is, like,

601
00:35:01,875 --> 00:35:04,720
also, know, there are no cars
available in The United States.

602
00:35:04,720 --> 00:35:08,320
New cars under $20,000. The
average sale price is over

603
00:35:08,320 --> 00:35:09,360
$50,000.

604
00:35:09,360 --> 00:35:13,040
So there's a whole separate
affordability conversation to be

605
00:35:13,040 --> 00:35:16,320
had. So, yeah, you're kinda
screwed, I guess, is the is my

606
00:35:16,320 --> 00:35:17,360
positive answer to that.

607
00:35:17,785 --> 00:35:22,185
Jeffrey Parkin: Yeah. I I
actually kinda have the same

608
00:35:22,185 --> 00:35:27,145
reaction of you're kinda screwed
because what started this entire

609
00:35:27,145 --> 00:35:35,150
conversation was in October, I
built myself a gaming computer,

610
00:35:35,390 --> 00:35:40,030
like, from scratch just to prove
I could that would compete with

611
00:35:40,030 --> 00:35:46,625
a modern console, and I did it
for just over $800, and I was

612
00:35:46,625 --> 00:35:50,305
really proud of it. It it works
great. This is this is great. I

613
00:35:50,305 --> 00:35:54,385
checked my shopping list just a
couple of days ago, and it's

614
00:35:54,385 --> 00:35:57,345
over $1,400.

615
00:35:57,425 --> 00:36:03,260
So it's gone up by 75% in four
months. Electronics, consumer

616
00:36:03,260 --> 00:36:07,180
electronics, gaming is all about
the latest and greatest, but,

617
00:36:07,500 --> 00:36:11,500
like, I think the answer really
is, if you've got something

618
00:36:11,500 --> 00:36:14,795
that's good enough, keep using
it. Yeah. You don't need the

619
00:36:14,795 --> 00:36:20,555
latest and greatest, because
it's it's going to be a a huge

620
00:36:20,555 --> 00:36:25,915
disconnect through this year and
probably well into next year

621
00:36:26,075 --> 00:36:26,235
Rory Carroll: Yeah.

622
00:36:26,315 --> 00:36:30,200
Jeffrey Parkin: Before anything
gets sorted out. It's just not

623
00:36:30,200 --> 00:36:34,440
the time to upgrade. Yeah. Which
is a larger conversation about

624
00:36:34,760 --> 00:36:38,840
planned obsolescence and the
disposability of all our

625
00:36:38,840 --> 00:36:42,280
electronics, but kinda time to
hold off on upgrades, I think.

626
00:36:42,695 --> 00:36:44,695
Rory Carroll: Yeah. If you can
hang on to your car, keep

627
00:36:44,695 --> 00:36:47,255
driving. I mean, even if this
chip thing wasn't happening,

628
00:36:47,255 --> 00:36:49,735
just the interest rate thing is,
like, reason enough to just keep

629
00:36:49,735 --> 00:36:52,615
driving whatever piece of shit
you're driving. That that's my

630
00:36:52,615 --> 00:36:53,175
advice.

631
00:36:53,255 --> 00:36:56,520
Mike Rugnetta: K. Don't freak
out. You're kinda screwed, but

632
00:36:56,520 --> 00:36:58,680
hang on to your piece of shit as
long as you can.

633
00:36:58,680 --> 00:37:01,240
Rory Carroll: That's my advice
for life is hang on to your

634
00:37:01,240 --> 00:37:02,200
piece of shit.

635
00:37:04,760 --> 00:37:07,640
Mike Rugnetta: Jeffrey, Rory,
thank you so much for joining us

636
00:37:07,640 --> 00:37:10,520
to chat about this stuff. This
has been fascinating.

637
00:37:10,520 --> 00:37:11,720
Rory Carroll: Glad to be here.
Thanks for having me.

638
00:37:11,925 --> 00:37:13,445
Jeffrey Parkin: Yeah. Thanks for
having us.

639
00:37:13,445 --> 00:37:15,365
Mike Rugnetta: Jeffrey, where
can people find you on the

640
00:37:15,365 --> 00:37:15,845
Internet?

641
00:37:15,845 --> 00:37:20,325
Jeffrey Parkin: I write at
rogue.site. Several other

642
00:37:20,325 --> 00:37:25,605
coworkers and I from one of the
big name places started it as

643
00:37:25,605 --> 00:37:29,810
our independent site. It's about
video games and kind of

644
00:37:29,810 --> 00:37:34,530
everything around it, and it's
kinda where I write angry news

645
00:37:34,530 --> 00:37:35,730
pieces lately.

646
00:37:35,730 --> 00:37:37,570
Mike Rugnetta: Hard to write
anything else at this

647
00:37:37,570 --> 00:37:38,770
Rory Carroll: point. Yeah. Yes.

648
00:37:39,515 --> 00:37:40,635
Mike Rugnetta: Rory, what about
you?

649
00:37:40,715 --> 00:37:44,715
Rory Carroll: Alloymag.com. It's
a new car site, new approach. I

650
00:37:44,715 --> 00:37:47,755
think if you go check it out,
it's it's unlike anything that's

651
00:37:47,755 --> 00:37:53,035
being done in in cars anywhere
else. And then we're on blue sky

652
00:37:52,600 --> 00:37:57,480
at alloy underscore mag. I am
personally on blue sky at

653
00:37:57,640 --> 00:37:59,320
rory_carol.

654
00:37:59,560 --> 00:38:02,040
And I think, yeah, that's those
are all good places to find me.

655
00:38:02,040 --> 00:38:04,760
If you need to find more than
that, then text me or something.

656
00:38:04,760 --> 00:38:05,320
Text me.

657
00:38:05,320 --> 00:38:07,815
Mike Rugnetta: What's wrong with
you? What else do you need? And

658
00:38:07,815 --> 00:38:09,735
we'll put links to all those
things in the show notes. Thanks

659
00:38:09,735 --> 00:38:11,015
again, fellas. Really appreciate
it.

660
00:38:11,015 --> 00:38:11,735
Rory Carroll: Thank you.

661
00:38:11,815 --> 00:38:12,295
Jeffrey Parkin: Thank you.

662
00:38:51,710 --> 00:38:54,110
Mike Rugnetta: That is the show
we have for you this week. We

663
00:38:54,110 --> 00:38:57,470
are gonna be back here on the
main feed next week on or around

664
00:38:57,470 --> 00:39:04,030
Thursday, March 5. For $4 from
craigslist.org in the Brooklyn

665
00:39:04,030 --> 00:39:14,635
area, you can currently
purchase. Okay, let's see, a

666
00:39:15,035 --> 00:39:18,635
rapid mac cooker, world's
fastest and easiest way to cook

667
00:39:18,635 --> 00:39:23,710
mac and cheese, A glass teapot
warmer that you put a candle in

668
00:39:23,710 --> 00:39:26,350
the middle of, it looks like,
and you put the teapot on top of

669
00:39:26,350 --> 00:39:27,870
it. This looks dangerous.

670
00:39:28,110 --> 00:39:33,985
A, what is described as an
adorable sphere metal box useful

671
00:39:33,985 --> 00:39:38,625
for anything, jewelry, keys,
change, candy, etcetera. On the

672
00:39:38,625 --> 00:39:43,105
top of it, it says in French, a
little sugar, a vintage Walt

673
00:39:43,105 --> 00:39:47,825
Disney World's Epcot silver
coated smoked glass mug stein.

674
00:39:49,080 --> 00:39:51,000
Okay. Listen. I'm not gonna lie.

675
00:39:51,000 --> 00:39:55,240
I'm not like a Disney person,
but this thing slaps. It's just

676
00:39:55,240 --> 00:40:01,160
a big silver mug. You can get a
savarin tin coffee can, one

677
00:40:01,160 --> 00:40:06,415
pound tin that looks like
something that you would find on

678
00:40:06,415 --> 00:40:13,455
the ground in a Fallout game or
pink fleece pants with Furby on

679
00:40:13,455 --> 00:40:18,610
them for some reason Or or you
could get a month of membership

680
00:40:18,610 --> 00:40:22,770
at neverpo.st and support your
local internet news theory and

681
00:40:22,770 --> 00:40:27,410
criticism podcast that is
actively working to keep us away

682
00:40:27,490 --> 00:40:32,565
from the future that Fallout
depicts. Neverpo.st, become a

683
00:40:32,565 --> 00:40:35,525
member today. And everybody keep
your hands off that Epcot Stein.

684
00:40:35,525 --> 00:40:46,360
It's mine. Neverpost's producers
are Audrey Evans, Georgia

685
00:40:46,360 --> 00:40:49,320
Hampton, and the mysterious
doctor first name last name. Our

686
00:40:49,320 --> 00:40:52,520
senior producer is Hans Buto.
Our executive producer is Jason

687
00:40:52,520 --> 00:40:55,800
Oberholzer. Show's host, that's
me, is Mike Rugneva.

688
00:40:59,815 --> 00:41:03,975
So we commissioned a document
about sustenance in the city's

689
00:41:03,975 --> 00:41:08,695
pores, metaphors of food and
skin for when the water rises.

690
00:41:09,520 --> 00:41:14,400
Wired the desirable apartments,
caves in units, strange hotels,

691
00:41:14,480 --> 00:41:20,960
possible domesticities before
the water rises. Commissioned a

692
00:41:20,960 --> 00:41:24,985
report detailing repose
densities for stones from a

693
00:41:24,985 --> 00:41:32,185
point of view superior to where
the anger rises. Excerpt of risk

694
00:41:32,185 --> 00:41:36,690
management song by Lindsay
Turner. Never Post is a

695
00:41:36,690 --> 00:41:40,130
production of Charts and
Leisure, and it's distributed by

696
00:41:40,130 --> 00:41:40,930
Radiotopia.
