Jul 10, 2026 · 20m · big-technology
Can NVIDIA Keep Its Lead? — With Anissa Gardizy, Max Cherney, and Lauren Goode
Lauren Goode · 5m spoken Max Cherney · 4m spoken Alex Kantrowitz · 4m spoken Anissa Gardizy · 3m spoken
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
Technology journalists Anissa Gardizy, Max Cherney, and Lauren Goode join host Alex to critically evaluate the AI infrastructure boom, analyzing NVIDIA's market dominance, geopolitical semiconductor risks, and custom chip diversification.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Alex holds 22.1% of the talking time here. How this is scored →
Alex as informed peer 5.2 Guest teaching 4.2 Guest disagreement 2.0 Alex pushing back 1.8
speaking balance: gold is Alex, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 16:43 Dismissing Jensen Huang's geopolitical narrative
When Alex asks if Jensen's national security warnings about China export controls are valid, Max Cherney flatly dismisses the framing, saying Jensen purely wants to sell chips into a massive untapped market.
Hardest push from Alex ▶ 9:50 Probing OpenAI's split from NVIDIAAlex challenges Anissa on how the industry is structured, pressing directly on whether OpenAI is attempting to break away from NVIDIA rather than remaining in its core ecosystem.
Biggest teaching moment ▶ 10:06 Correcting assumptions about OpenAI's hardware exclusivityAnissa educates Alex after he suggests OpenAI is firmly in NVIDIA's pole, detailing OpenAI's internal silicon efforts, alternative vendors like Cerebras, and Sam Altman's push for cost leverage.
Alex holds their own ▶ 16:14 Alex cites Dwarkesh-Jensen interview on export controlsAlex demonstrates deep domain tracking by synthesizing Jensen Huang's recent long-form podcast arguments regarding Chinese domestic silicon standards back onto the panel for critical analysis.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Alex as informed peer | Guest teaching | Guest disagreement | Alex pushing back | Why |
|---|---|---|---|---|---|---|
| AI Data Center Announcements vs. Real Construction Progress | 6 | 4 | 1 | 2 | Alex frames the opening around public market reliance on unbuilt data center announcements. Anissa and Max provide concrete industry context regarding gigawatt project accounting and cyclical chip overcapacity in a collaborative panel atmosphere. | |
| NVIDIA Dominance, Strategic Pivots, and Inference Challenges | 5 | 3 | 1 | 1 | The conversation shifts to Jensen Huang's strategic agility in steering NVIDIA across compute cycles. Lauren and Max analyze inference competition before Lauren shares a lighthearted anecdote about brushing Jensen's hair at a Wired photo shoot. | |
| Developing Custom Silicon and Diversifying Beyond NVIDIA | 5 | 6 | 3 | 3 | Alex hypothesizes that AI labs are split into two distinct poles with OpenAI exclusively aligned with NVIDIA. Anissa corrects this framing by pointing out OpenAI's extensive internal silicon initiatives and diversified hardware deals. | |
| Taiwan Geopolitical Fragility and TSMC Fab Secrecy | 5 | 4 | 2 | 1 | Alex probes Taiwan's geopolitical vulnerability, and Max explains the lack of contingency planning among US fabless design firms. Both Max and Alex joke about being relegated to TSMC's museum gift shop rather than securing factory access. | |
| Inside Intel Fab 52 and Domestic Chip Resilience | 6 | 6 | 4 | 3 | Lauren describes cleanroom observations at Intel Fab 52 before Alex raises Jensen Huang's argument that China export controls threaten US standard-setting. Max blunt-force dismisses the altruistic pretext, stating NVIDIA simply ran out of domestic growth channels. | |
| AI Scaling Lightning Round and Panel Concluding Remarks | 4 | 2 | 1 | 1 | Alex leads a rapid lightning round asking the panel if scaling laws and infrastructure spending will hold up, followed by congratulations to Anissa Gardizy on her new role at The Wall Street Journal. |
Statements from this episode (13)
Gardizy: Around 50% of AI data center projects will miss completion deadlines
“But on on projects that are actually getting built, I do think, you know, 50% not really getting done on time is is, you know, what I would expect.”
Gardizy: OpenAI will not deploy 10 gigawatts of data centers within two years
“Like, even if you think of OpenAI, for example, announcing a 10 gigawatt project, you know, we're not going to see 10 gigawatts in the next couple of years, or they're going to sort of spread out that bet.”
Cherney: Chip industry likely faces overcapacity and severe cyclical downturn
“Very likely, I would say that we're going to lead, we're going to see some over capacity essentially. So like people are building, especially memory companies are building tons of factories right now. And typically the chip industry is, again, I'm sure everybo…”
Goode: Lawmakers will increasingly politicize data centers amid public backlash
“And so I think you're going to see a lot of politicizing of the data centers too, as you know, sort of lawmakers try to appeal to their base because a lot of people are very unhappy about data centers.”
Gardizy: Major NVIDIA customers are actively working to adopt alternative chips
“Every single company that buys NVIDIA chips and is spending a lot of money on NVIDIA chips is trying really hard to make these other, other chips work, whether it's in-house chips from Google or Amazon or even in OpenAI's case and potentially Anthropik's case.”
Gardizy: Non-NVIDIA Chips Often Need Financial Backstops for Data Center Entry
“And in the instances that I'm seeing where there are non Nvidia chips, it's because of some sort of financial backstop. So I do wonder how much how long that will have to keep being the case, because that will definitely hinder non Nvidia chips if they need Sp…”
Gardizy: OpenAI Is Developing In-House Chips and Using Cerebras Hardware
“Yeah, yeah, they are. They're using chips from other companies. Cerebris is a good example, and they have their own in-house chip.”
Cherney: US chip designers have no real contingency plan for Taiwan invasion
“Chip companies, the design companies in the US do not plan for this. The contingency plan, excuse me, is something along the lines of like, well, we're all kind of screwed if China invades, which, OK, but like, there's no real plan there.”
Cherney: Soft-power exchange is more likely for Taiwan than military invasion
“I think what's a lot more likely is some kind of soft power exchange like what happened in Hong Kong over time. I think realistically, that's a more Likely option, although I'm not saying Xi Jinping won't just invade like he absolutely will.”
Goode: Intel Fab 52 matches TSMC 2nm tech at fractional scale
“This was the Intel fab 52, which is their most advanced fab. It's a two nanometer fab, and it is on the level of what TSMC does in terms of two nanometer, but of course, at a fraction of the scale of what TSMC does.”
Cherney: NVIDIA Has Run Out of Countries and Hyperscalers to Fuel Growth
“Nvidia has run out of places to grow. They can't sell to any more countries. They can't sell to any more hyperscalers.”
Cherney: China Cannot Effectively Produce Sub-Leading-Edge Transistors Without EUV Machines
“They run up to up to the limit of like, they can't buy UV machines. The big ones that Lauren was just talking about. So if you can't buy those things, it's just fundamentally difficult to make transistors below a certain size and they can't do it effectively.”