Latest / Connecting the Dots / Cisco's AI Investments, Nvidia's China Puzzle, and Cerebras' Blockbuster IPO

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Cisco's AI Investments, Nvidia's China Puzzle, and Cerebras' Blockbuster IPO · Connecting the Dots

• 0:00
  Today's tech news moves fast, but understanding
• 0:03
  it shouldn't be hard. That's why Snarfle Solutions
• 0:06
  Group brings you Connecting the Dots, where we
• 0:09
  break down what's happening in tech and why it
• 0:11
  matters to you. Now, let's dive in with your
• 0:14
  hosts. Think we tend to picture the whole artificial
• 0:18
  intelligence boom as this Sort of invisible thing
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  right like it's just software or you know algorithms
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  just floating up in the cloud somewhere exactly
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  But the reality on the ground is just completely
• 0:30
  different. I mean the AI revolution is a massive
• 0:34
  physical trillion -dollar war. Oh, absolutely.
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  It's concrete, it's wiring, it's physical hardware.
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  Yeah, it requires tearing down these legacy corporate
• 0:41
  structures and fighting geopolitical standoffs
• 0:46
  over raw materials. And really, it's completely
• 0:48
  rewiring how Wall Street operates. It really
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  is. So welcome to Connecting the Dots, broadcasting
• 0:53
  daily from Starful Solutions Group right here
• 0:55
  in Sacramento, California. I'm Alex. And I'm
• 0:58
  Morgan. Today, we are mapping out that entire
• 1:00
  physical life cycle of the AI boom. We're going
• 1:04
  to translate the noise of the daily news cycle
• 1:06
  into the, well, the underlying mechanisms that
• 1:08
  are quietly shaping your world. And today is
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  Thursday, May 14, 2026. But before we unpack
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  the mechanics of the global tech supply chain,
• 1:18
  let's look at the world right outside your window.
• 1:20
  Always a good place to start. Right, so if you're
• 1:22
  tuning in locally, Sacramento is just absolutely
• 1:24
  gorgeous today. You can expect sunny skies, a
• 1:27
  high of 89 degrees, and a really nice light breeze
• 1:30
  rolling through at about one to seven miles per
• 1:33
  hour. You definitely want to keep the broader
• 1:35
  picture in mind if you are traveling, though.
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  Oh, for sure. Because there are currently 234
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  active U .S. weather alerts, and 92 of those
• 1:44
  are occurring over land. So, I mean, if you are
• 1:46
  hitting a road or heading to the airport, definitely
• 1:48
  check weather .gov for the latest conditions.
• 1:50
  in your specific area. Good call. So shifting
• 1:53
  gears to the financial markets. Let's contextualize
• 1:57
  yesterday's close. We saw some really solid steady
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  momentum. Yeah, we did. The Dow Jones closed
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  up nearly 19 points. sitting just shy of the
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  49 ,700 mark, which is, you know, a solid day.
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  Right, and the broader market felt that lift
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  as well. The S &P 500 jumped roughly 35 points,
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  closing right around 7 ,444. And then over in
• 2:17
  the crypto space, Bitcoin is trading this morning
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  just under $80 ,000. It's up a little over $640
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  for the day. But you're going to want to hold
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  on to that thought. Exactly. Because later on,
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  we're going to look closer at this massive vacuum
• 2:31
  effect that is actually pulling institutional
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  capital away from digital assets and straight
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  into physical hardware. Yeah, we definitely need
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  to cover that. It's a huge shift. But finally,
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  for the local -ish sports fans, yesterday was,
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  well, a bit of a divided slate. The mixed bag,
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  yeah. The San Francisco Giants hit a wall against
• 2:52
  the LA Dodgers, taking a 0 -4 loss. And Shohei
• 2:56
  Otani claimed the win on the mound for that one.
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  Yeah, rough outing for the Giants. But, you know,
• 3:00
  up the road, the Oakland Athletics actually secured
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  a 6 -2 victory over the St. Louis Cardinals.
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  Nice. Yeah, driven by a really solid performance
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  from JT Jin. Oh, and for those of you following
• 3:10
  the Sacramento Kings, you had a stress -free
• 3:13
  evening. They hit the night off. You know, sometimes
• 3:15
  a night off is just the best thing for the blood
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  pressure. Honestly, no arguing with that. All
• 3:19
  right, let's briefly pivot for a word from our
• 3:21
  sponsor before we launch into our main broadcast.
• 3:24
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• 3:43
  Let's get into the tech article report. And you
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  know, today's agenda really isn't a list of isolated
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  stories. It's really a single continuous narrative
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  about the physical cost of artificial intelligence.
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  We are looking at three critical phases today.
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  Right. So we've got a legacy corporate giant
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  demolishing its own foundations to afford the
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  pivot, a diplomatic crisis over the very chips
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  that make that pivot possible, and then a historic
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  IPO stepping in to capitalize on all the chaos.
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  Exactly. So let's start on that foundation. corporate
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  level we are looking at Cisco today a classic
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  Silicon Valley Titan classic they just released
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  their q3 earnings and I mean on paper they're
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  having an absolute banner day revenue is up 12
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  % year -over -year hitting nearly fifteen point
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  eight four billion dollars which completely blew
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  past the Wall Street estimate of fifteen point
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  five six billion so they beat it by a mile And
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  the market response was just explosive, right?
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  Oh, massive. Their stock popped between 15 %
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  and 19 % in pre -market trading alone. That's
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  wild. Yeah, and if they sustain that momentum,
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  it'll be their sharpest single -day rally since
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  2002. I mean, they have effectively gained 33
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  % this year, blowing past their historic dot
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  -com era peaks. But, and this is the big but
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  here, this incredible financial victory is coming
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  at a pretty severe human cost. Right. Alongside
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  these record -breaking profits, Cisco is cutting
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  almost 4 ,000 jobs. That is nearly 5 % of their
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  global workforce. Yeah. And to a lot of people
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  listening, that probably sounds like a total
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  contradiction. Why would a company making billions
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  in profit hand out thousands of pink slips? Well,
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  you have to look at the mechanism of their revenue.
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  Like, where is the money actually coming from
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  right now? OK. Unpack that for us. Cisco reported
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  $5 .3 billion in artificial intelligence infrastructure
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  and hyperscaler orders so far this year. And
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  the demand is so intense, they actually had to
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  raise their full year forecast for AI orders
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  to a staggering $9 billion. OK, I want to pause
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  on a term you just used there, hyperscaler. What
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  exactly is that in this specific context? So
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  a hyperscaler is basically a massive cloud computing
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  provider, think. Amazon Web Services, Microsoft
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  Azure, or Google Cloud. They operate data centers
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  on a scale of literally hundreds of thousands
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  of servers. And right now, these hyperscalers
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  need a completely new kind of physical architecture
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  to process artificial intelligence workloads.
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  Got it. So to build that new architecture, Cisco
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  basically has to change what they fundamentally
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  do as a company. Exactly. It's kind of like think
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  about it like a city trying to upgrade its entire
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  power grid. from, I don't know, coal to nuclear.
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  You can't just retrain the people shoveling the
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  coal. You suddenly need quantum physicists and
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  nuclear engineers. That's a great way to look
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  at it. Right. Because the mechanics of legacy
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  networking, like traditional routers and switches,
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  they're completely different from the silicon
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  optics and security integration required for
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  AI. Highly accurate. And Cisco CEO Chuck Robbins
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  actually sent a company -wide email about this.
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  He stated that the winners in the AI era require
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  focus, urgency, and discipline. So the layoffs
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  are the literal funding mechanism for this transition?
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  Yes. They are firing the people who maintain
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  the old grid to free up the capital to hire the
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  people building the new one. But what does this
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  mean for you, you know, the everyday professional
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  working in the tech sector? Yeah. If a wildly
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  profitable company is slashing jobs to redirect
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  capital, where is the baseline stability? The
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  blunt reality is that baseline stability has
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  fundamentally shifted. I mean, yes, Cisco is
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  offering severance, prorated bonuses, placement
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  services, and access to courses for retraining.
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  But the core lesson here is that job security
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  in the tech industry right now is entirely dictated
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  by proximity. Proximity to what? To AI. If your
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  daily role is not directly adjacent to the physical
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  or software infrastructure of artificial intelligence,
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  your department is likely viewed as a potential
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  funding source for the departments that are.
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  Man. That is harsh but true. And that perfectly
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  bridges us into our next phase of the broadcast.
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  Because Cisco is clearing out its workforce to
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  desperately build this physical AI infrastructure.
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  But to actually build it, they need the core
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  components. They need the silicon brains. Exactly.
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  And right now, the absolute gold standard for
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  those brains comes from one company, and that's
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  Nvidia. But sourcing those chips has triggered
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  a massive geopolitical standoff. Yeah, we are
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  looking at Nvidia's high -end AI chips here,
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  specifically the H200 processors. And these aren't
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  just electronics anymore. They are arguably the
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  most coveted strategic commodity on the planet.
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  And they're caught right in the middle of a massive
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  diplomatic bottleneck between the United States
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  and China. OK, let's lay out the facts for the
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  listeners. The US Commerce Department recently
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  of 10 major Chinese tech giant. So we're talking
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  Alibaba, Tencent, ByteDance, Lenovo, JD .com,
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  Foxconn, companies like that, to purchase up
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  to 75 ,000 of these highly restricted H200 chips.
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  Which is a staggering quantity, by the way, and
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  a major shift from previous export blocks. Right.
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  But the reality on the ground is that zero chips
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  have actually been delivered. Zero. Because the
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  bottleneck isn't manufacturing. It's a bureaucratic
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  requirement. The United States is demanding a
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  25 % cut on these sales. And to enforce that
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  legally, they require the physical chips to be
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  routed through U .S. territory before they continue
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  on to China. Which has obviously triggered massive
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  alarms in Beijing. The Chinese government has
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  essentially instructed its domestic companies
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  to halt purchases, citing profound fears over,
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  quote, hidden vulnerabilities. Let's unpack the
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  mechanics of that fear. If the U .S. just wants
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  a 25 % tariff, why not just manage it on paper?
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  I mean, why force the physical cargo ships or
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  planes to land on U .S. soil? What even is a
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  hidden vulnerability in a physical piece of hardware?
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  Well, this is where cybersecurity meets physical
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  logistics. In the intelligence community, this
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  is known as supply chain interdiction. Supply
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  chain interdiction, okay. Yeah. When hardware
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  physically passes through a controlled territory,
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  it can be intercepted. A microscopic chip, literally
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  no larger than a grain of rice, can be secretly
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  soldered onto a motherboard. And that extra chip
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  is designed to establish a backdoor connection.
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  It allows an external actor to siphon data, monitor
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  activity, or even just shut down the server remotely
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  once it's installed in a foreign data center.
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  So it's not just a tax collection stop. From
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  Beijing's perspective, landing those servers
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  in US territory means inviting the US intelligence
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  apparatus to literally hardwire surveillance
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  into their national tech infrastructure. Exactly
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  the fear driving the pause. And the geopolitical
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  stakes of this specific hardware are so immense
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  that it has escalated to the absolute highest
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  levels of global diplomacy. Right. Because right
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  now, Former President Donald Trump and Nvidia
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  CEO Jensen Huang are in Beijing. Yep, they are.
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  They are attending a summit with Chinese President
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  Xi Jinping. They're attempting to negotiate a
• 10:41
  path forward and unstick this massive trade freeze.
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  It is a high stakes diplomatic trade negotiation
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  unfolding in real time. It really is. But let
• 10:50
  me push back on the strategy here, though. If
• 10:53
  you are a company like Alibaba or Tencent, and
• 10:55
  you are caught in this agonizing international
• 10:58
  tug of war, You've got tariffs, physical routing
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  requirements, presidential summits. Why are you
• 11:05
  even waiting around for Nvidia? These are multi
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  -billion dollar tech empires. Why not just build
• 11:10
  the hardware yourself? Well, that is the essential
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  question. And the answer is that building a top
• 11:15
  tier GPU is incredibly difficult, but they are
• 11:19
  absolutely trying. Because a GPU is different
• 11:21
  from a regular chip. Entirely different. A GPU
• 11:23
  or graphics processing unit is different from
• 11:25
  the standard CPU in your laptop. Think of a CPU
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  like A really smart professor who can solve complex
• 11:32
  problems but only one at a time. What? A GPU
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  is like - 10 ,000 middle schoolers who can solve
• 11:38
  thousands of simple math problems simultaneously.
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  And that parallel processing is what makes artificial
• 11:43
  intelligence work. And NVIDIA basically has a
• 11:45
  near monopoly on orchestrating those 10 ,000
• 11:48
  middle schoolers efficiently. They do. But this
• 11:50
  geopolitical friction is forcing China's hand.
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  Because the supply is bottlenecked, we are seeing
• 11:56
  a massive surge in domestic Chinese innovation.
• 11:59
  Yeah, like what Tencent is doing. Exactly. Tencent's
• 12:02
  chief strategy officer, James Mitchell, announced
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  a substantial increase in capital expenditure
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  specifically to deploy homegrown GPUs. He actually
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  noted their supply of China designed chips is
• 12:15
  increasing month by month. And Alibaba is moving
• 12:17
  aggressively down that same path, right? Very
• 12:19
  aggressively. Alibaba is already in scaled mass
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  production of their proprietary T -Head GPU chips.
• 12:26
  Oh, wow. Yeah, they aren't just experimenting
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  anymore. They are deploying these chips into
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  their own cloud computing divisions entirely
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  bypassing the Nvidia bottleneck. So the US export
• 12:36
  controls, by attempting to restrict supply, have
• 12:38
  actually catalyzed the exact outcome they probably
• 12:41
  wanted to avoid. By making Nvidia chips painfully
• 12:44
  difficult to acquire, they've incentivized foreign
• 12:47
  tech giants to fund their own independent hardware
• 12:49
  ecosystems. Alibaba executives explicitly called
• 12:52
  this an environment of compute scarcity. And
• 12:55
  that scarcity is fundamentally fracturing the
• 12:58
  global tech supply chain. Companies like MoreThreads,
• 13:02
  MetaX, and Huawei are stepping up to fill the
• 13:05
  void. So for you, the consumer, the investor,
• 13:08
  the critical takeaway here is that the Internet
• 13:10
  is no longer running on a unified global hardware
• 13:13
  standard. We are splitting into distinct regional
• 13:17
  technological ecosystems. perfectly to our final
• 13:20
  phase. If NVIDIA is trapped in this international
• 13:24
  diplomatic web and the entire globe is starving
• 13:26
  for processing power, it creates this massive
• 13:28
  vacuum in the market. And Wall Street is moving
• 13:30
  hundreds of billions of dollars to fill it. Yes,
• 13:32
  they are. So let's look closer at the Cerebra
• 13:34
  Systems IPO. Cerebros just hit the NASDAQ under
• 13:37
  the ticker symbol CBRS, and it is arguably the
• 13:40
  most important financial event in the tech sector
• 13:42
  this year. I mean, they are a direct challenger
• 13:45
  to NVIDIA, and they just debuted with a staggering
• 13:48
  $56 .4 billion valuation. And the pricing strategy
• 13:52
  alone shows how desperate the market is for this
• 13:54
  hardware. The initial expected range for the
• 13:57
  stock was between $150 and $160 a share. Right.
• 14:01
  But institutional demand was so intense, they
• 14:04
  actually priced the IPO at $185 a share. They
• 14:08
  sold 30 million shares and raised over $5 .55
• 14:11
  billion in a single day. It's incredible. And
• 14:14
  to understand why Wall Street is throwing that
• 14:17
  kind of capital at Cerebras, you have to understand
• 14:20
  how their technology fundamentally changes the
• 14:23
  physics of chip manufacturing. It's their wafer
• 14:25
  scale engine three, right? Yes. Their flagship
• 14:27
  product is the wafer scale engine three. OK,
• 14:30
  let's break down that term wafer scale. How does
• 14:32
  that actually work in practice? So traditionally,
• 14:35
  computer chips are printed onto a massive disk
• 14:37
  of silicone. It's roughly the size of a large
• 14:39
  pizza and it's called a wafer. OK, I'm tracking
• 14:41
  pizza wafer. Then that wafer is sliced up into
• 14:44
  hundreds of small individual chips. Now, when
• 14:47
  you build a supercomputer, you have to wire all
• 14:49
  those separate little chips back together. Right.
• 14:51
  The problem is sending data across those connecting
• 14:54
  wires is incredibly slow and waste. massive amounts
• 14:57
  of energy. So what does Cerebras do different?
• 14:59
  They just don't cut the pizza. They don't cut
• 15:00
  it? Nope. They leave the entire massive silicon
• 15:04
  wafer perfectly intact. All the processors are
• 15:07
  connected directly on the continuous silicon
• 15:09
  itself. Information moves instantly without the
• 15:11
  bottleneck of external wiring. It's a monumental
• 15:14
  leap in parallel processing speed. Wow. But,
• 15:17
  you know, having a brilliant piece of engineering
• 15:19
  isn't enough to secure a $56 .4 billion valuation
• 15:23
  on Wall Street. The real story here, the true
• 15:26
  mechanism driving this massive IPO, is the financial
• 15:29
  architecture behind it. Absolutely. Cerebra has
• 15:32
  secured a mind -bending $20 billion deal with
• 15:34
  OpenAI to provide 750 megawatts of computing
• 15:38
  capacity. Just to put 750 megawatts in perspective,
• 15:42
  one megawatt power is roughly a thousand homes.
• 15:44
  That's insane. OpenAI is contracting enough raw
• 15:47
  electrical computing power to run a medium -sized
• 15:50
  city just to train their next generation AI model.
• 15:53
  And here is where the financial mechanics get
• 15:56
  truly fascinating. OpenAI didn't just sign a
• 15:59
  contract to buy the service. They actively loaned
• 16:01
  Cerebras $1 billion at a 6 % interest rate, specifically
• 16:06
  so Cerebras could afford to build the data centers
• 16:09
  to host the cloud services that OpenAI requires.
• 16:12
  And the entanglements go far beyond corporate
• 16:14
  loans, too. SEC filings revealed that OpenAI's
• 16:18
  top executives hold massive personal stakes in
• 16:20
  Cerebras. Really? Yeah. CEO Sam Altman holds
• 16:24
  roughly 89 ,000 shares, which is worth over $16
• 16:27
  million at the IPO price. Co -founder Greg Brockman
• 16:31
  holds about 78 ,000 shares, worth over $14 million.
• 16:34
  OK, we have to unpack the sheer brilliance and
• 16:37
  frankly the potential conflict of this structure.
• 16:39
  It's essentially a closed loop financial system.
• 16:42
  Totally. OpenAI needs an astronomical amount
• 16:43
  of hardware to survive, but Nvidia is too expensive
• 16:46
  and backlogged. So OpenAI takes their own capital,
• 16:49
  loans it to a startup to build the hardware,
• 16:51
  guarantees that startup a $20 billion revenue
• 16:53
  stream to make them incredibly attractive to
• 16:55
  Wall Street, and then the executives personally
• 16:57
  buy the stock before it goes public. It is a
• 16:59
  masterful multi -layered strategy. And it's important
• 17:02
  to remember that Cerebras previously tried to
• 17:04
  go public and failed. Oh, I didn't know that.
• 17:06
  Yeah, regulators were spooked because 85 % of
• 17:09
  their revenue relied on a single client in the
• 17:12
  United Arab Emirates called G42. Wall Street
• 17:15
  hates that kind of concentrated risk. Ah, okay.
• 17:18
  So Cerebra's completely pivoted. They diluted
• 17:21
  their reliance on that foreign client down to
• 17:23
  24%, shifted their business model from selling
• 17:26
  raw hardware to selling a cloud service, and
• 17:29
  locked in this massive open AI partnership. Suddenly,
• 17:32
  they weren't a risky hardware startup. They were
• 17:34
  the exclusive engine room for the biggest name
• 17:37
  in artificial intelligence. And this gravitational
• 17:40
  pull toward physical AI infrastructure is having
• 17:42
  a profound siphon effect across all financial
• 17:45
  markets. Capital is being aggressively drained
• 17:48
  away from digital speculative assets and poured
• 17:50
  into companies that pour concrete and print silicon.
• 17:53
  The numbers reflect exactly that. Traditional
• 17:55
  physical chip stocks are going parabolic. Intel
• 17:58
  is up 218 percent year to date. Companies like
• 18:01
  Advanced Micro Devices and Micron have literally
• 18:04
  doubled or tripled in value. While simultaneously,
• 18:07
  Bitcoin, despite hovering near 80 ,000, has actually
• 18:10
  dropped 9 % in recent weeks as institutional
• 18:12
  investors rotate their risk capital. Fascinating.
• 18:15
  Even Google searches for buy Bitcoin are sitting
• 18:17
  at a 12 month low. So for professionals managing
• 18:20
  a 401k or a family portfolio, understanding this
• 18:24
  rotation from digital scarcity to physical infrastructure
• 18:27
  is absolutely critical. It is a complete rewiring
• 18:30
  of global capital. Well, before we wrap up our
• 18:32
  analysis, a quick thanks to Old Glory, an iconic
• 18:35
  music and sports fan merch store. Perfect for
• 18:39
  the techie in your life. Use promo code SNARFL
• 18:42
  for 15 % off at OldGlory .com. To tie all of
• 18:46
  these threads together today, what we are really
• 18:48
  observing is the physical construction of a new
• 18:50
  era. We see legacy corporations like Cisco tearing
• 18:53
  down their own historical structures to shift
• 18:55
  their human capital toward artificial intelligence.
• 18:57
  We see global superpowers fighting high stakes
• 19:00
  diplomatic battles over the physical supply chains
• 19:02
  that dictate who gets to build these systems.
• 19:04
  And we see Wall Street aggressively rewarding
• 19:06
  new challengers like Cerebras who can bypass
• 19:09
  those bottlenecks with massive capital injections.
• 19:12
  It really leaves you with a fascinating and perhaps
• 19:14
  slightly unsettling question to consider. When
• 19:18
  a software company like OpenAI is loaning billions
• 19:21
  to hardware manufacturers, guaranteeing their
• 19:24
  revenue and having its own executives hold massive
• 19:27
  personal stakes in the silicon. I mean, are we
• 19:30
  watching the birth of a completely new kind of
• 19:33
  monopoly? It's a huge question. One that doesn't
• 19:36
  just design the artificial brain, but financially
• 19:38
  owns the very silicon body it runs on. It is
• 19:41
  a profound shift in corporate architecture. One
• 19:44
  that will definitely ripple through international
• 19:46
  trade, tech employment, and the foundational
• 19:49
  structure of the market itself. We're here to
• 19:50
  help at Snarfl, so reach out on our website if
• 19:52
  you have any more questions. That's a wrap on
• 19:58
  today's top stories. Remember, tech doesn't have
• 20:01
  to be complicated, and we're here to help connect
• 20:03
  the dots. If you've got questions or want to
• 20:06
  learn more, visit us at snarful .com. Thanks
• 20:09
  for listening, and we'll catch you next time.