CoreWeave's Nvidia Deployment, China's AI Goals, and Ford's AI Job Warnings

In this episode, Bob examines CoreWeave's deployment of Nvidia's latest AI chips, exploring the potential market impact and advancements in processing capabilities. The discussion then turns to China's ambitious plans for AI integration in the electric vehicle sector, considering the broader global implications. Bob analyzes current venture capital trends in AI startups, highlighting investor sentiment and funding patterns. The episode also addresses Ford CEO's recent warning about AI's potential effects on jobs and the education system, prompting considerations about future workforce challenges. The episode concludes with closing remarks and a sign-off, summarizing the discussions.

Episode Transcript

(00:00):
CoreWeave just became the first cloud providerto roll out Nvidia's newest AI chips, the
Blackwell Ultra.
What does this mean for the future of AIcomputing?
Welcome to The AI News Daily Brief, your go-tofor the latest AI updates.
Today is Friday, July 4, 2025.
Here’s what you need to know about thisgroundbreaking deployment of Nvidia’s latest

(00:23):
technology.
Let’s dive in.
Nvidia's Blackwell Ultra chips, the company'snext-generation graphics processor for
artificial intelligence, have been commerciallydeployed at CoreWeave.
This marks a significant milestone for bothcompanies, as CoreWeave is the first cloud
provider to install systems based around theseadvanced chips.

(00:48):
The announcement was made on Thursday,highlighting CoreWeave's strong partnership
with Nvidia.
CoreWeave has received shipments of Dell-builtsystems centered around Nvidia's GB300 NVL72 AI
systems.
These systems are liquid-cooled and include 72Blackwell Ultra graphics processing units and

(01:09):
36 Nvidia Grace central processing units.
Assembled and tested in the United States,these systems are a testament to the
cutting-edge technology that Nvidia is bringingto the table.
The deployment of these chips is a big win forCoreWeave, a cloud provider that rents access
to Nvidia GPUs to other clouds and AIdevelopers.

(01:31):
Although CoreWeave is smaller than the giantslike Amazon, Google, and Microsoft, its ability
to offer Nvidia's latest chips first gives it acompetitive edge in the cloud services market.
CoreWeave's close relationship with Nvidia hasbeen beneficial, especially since Nvidia owns a
stake in the cloud provider.
Since going public earlier this year,CoreWeave's stock price has quadrupled,

(01:54):
reflecting investor confidence in its growthand strategic moves.
On the announcement day, CoreWeave shares rose6%, Dell shares were up about 2%, and Nvidia
shares saw a slight increase as well.
What's truly exciting about the Blackwell Ultrais its capability to produce 50 times more AI

(02:14):
content than its predecessor.
This chip is not just a step forward; it's aleap, promising to enhance the efficiency and
power of AI models in training and deployment.
Nvidia's ability to deliver these chips withoutproduction issues or delays is closely watched
by investors and developers alike, as theseadvancements could shape the future of AI

(02:36):
technology.
China's ambitions to lead in the fields ofartificial intelligence and electric vehicles
are not just aspirations—they're full-fledgedefforts.
Imagine a world where the control of databecomes the ultimate power play.
In the realm of artificial intelligence, it'sall about who owns the data.
The data needed to train new models is like thefuel for an engine; without it, progress

(03:00):
stalls.
In China, control over this data is becoming asignificant factor.
The country is positioning itself to be adominant force, leveraging vast amounts of data
to train its artificial intelligence modelsfaster and more efficiently than its
competitors.
This could dictate the pace at which theindustry expands and evolves.

(03:23):
Meanwhile, over in the electric vehicle sector,China's in the midst of a fierce price war.
It's a battle that's driving innovation andpushing companies to cut costs, all while
trying to capture the largest share of arapidly growing market.
This isn't just about making affordableelectric vehicles; it's about setting the
standard globally.

(03:44):
The implications of China's moves are vast.
If they succeed, they could redefine globalstandards and influence industries far beyond
their borders.
It's a strategic play that could see Chinasetting the pace for technological advancements
in both artificial intelligence and electricvehicles.
The question now is, how will other countriesrespond to this technological race?

(04:08):
Artificial intelligence is gobbling up venturecapital funds like never before.
In the first half of 2025, AI startups snaggeda whopping 53% of all global venture capital
investments, according to PitchBook.
And in the United States, that number jumps toan impressive 64%.

Imagine this (04:28):
AI startups are now making up 29% of all global startups that received funding.
In the U.S., the figure is even higher atnearly 36%.
It's like the whole venture capital world islaser-focused on AI, and for good reason.
The technology is poised to become as common assmartphones and internet access, driving this

(04:51):
massive investment wave.

Here's the kicker (04:55):
A small number of companies are soaking up a huge chunk of the capital.
During the second quarter, over a third of allU.S.
venture dollars were funneled into just five AIcompanies.
This level of concentration is unlike anythingwe saw during the dotcom boom, even when you
adjust for inflation.
It's a different ball game now.

(05:17):
The bullish investors are seeing this as thedawn of a tech revolution that could overshadow
all previous ones.
The potential payoff seems to justify the risk,and it's not just about ignoring price tags
anymore.
Investors are throwing caution to the wind,focusing more on the size of the check than
anything else, especially when giants like Metaare ready to spend big bucks on AI

(05:40):
acquisitions.
On the flip side, some skeptics are pointingout that the big players are already on the
offense, unlike in previous startup booms wherenewcomers had the element of surprise.
They argue that many of these foundationalmodel deals resemble project finance more than
traditional venture capital, hinting atdifferent return expectations.

(06:02):
The bottom line?
Diversification in venture capital is taking aback seat.
Dominance is the new game in town.
AI is not just eating venture capitaldollars—it's reshaping the very landscape of
tech investment.
Ford's Chief Executive Officer, Jim Farley, isthe latest in a line of executives sounding the

(06:24):
alarm about artificial intelligence's potentialimpact on the job market.
Speaking at the Aspen Ideas Festival, Farleywarned that artificial intelligence could
eliminate half of all white-collar jobs in theUnited States.
This is a bold statement, but it's one that'snot entirely without precedent, as other tech
leaders have expressed similar concerns.

(06:46):
Farley's perspective is rooted in the beliefthat the American education system currently
places too much emphasis on four-year degrees,while skilled trades are being overlooked.
He pointed out that, as hiring in tech firmsslows, there's an increasing need for skilled
tradespeople in what he calls the "essentialeconomy."
Reflecting on his own family's history, Farleyrecounted how his grandfather, once an orphan

(07:11):
in Michigan, built a successful career at Fordstarting from an hourly job.
This personal anecdote underscores his concernthat the current job market doesn't offer the
same opportunities for upward mobility,especially with the looming threat of
artificial intelligence-driven jobdisplacement.
Farley's not alone in his warning.

(07:31):
In May, Dario Amodei, Chief Executive Officerof Anthropic, highlighted similar risks,
suggesting that artificial intelligence couldreplace many entry-level office jobs within the
next five years.
This has led to calls for companies andgovernments to stop "sugarcoating" the
potential risks associated with artificialintelligence.

(07:53):
However, not everyone agrees with this direoutlook.
Some leaders, like Cognizant's Chief ExecutiveOfficer Ravi Kumar and Nvidia's Chief Executive
Officer Jensen Huang, believe that artificialintelligence will create new job opportunities,
particularly in fields like robotics andartificial intelligence itself.

(08:13):
They argue that while jobs will change, therewill be new creative opportunities as well.
The data shows a mixed picture.
White-collar job postings fell 12.7% in thefirst quarter compared to the previous year,
while blue-collar job postings only dipped11.6%.
This suggests a shift in the job market, withmore people, particularly from Generation Z,

(08:38):
turning to blue-collar jobs as a safer bet inthe face of artificial intelligence's rise.
So, what's the takeaway here?
While artificial intelligence promisesincredible advancements, it also poses
significant challenges, particularly forwhite-collar workers.
It's a wake-up call for industries andeducational institutions to adapt and prepare

(09:01):
for a future where artificial intelligence andhuman skills must coexist.
That’s it for today’s AI News Daily Brief.
Ford's Chief Executive Officer's warning aboutartificial intelligence potentially wiping out
half of white-collar jobs is a powerfulreminder of the changes ahead.
Thanks for tuning in—stay updated.

(09:21):
This is Bob, signing off.
Until next time.