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How DeepSeek Shocked Silicon Valley & Crashed Nvidia | Pivot

Kara Swisher and Scott Galloway examine how China's DeepSeek AI model is causing waves in Silicon Valley and Wall Street, outperforming top U.S. models at a fraction of the cost. They also look at how DeepSeek fears sent Nvidia's stock plummeting, and the larger impact on the economy. Is this the start of a major market correction, or the next big buying opportunity? #pivot #podcast #deepseek #ai #nvidia #siliconvalley #wallstreet #economy #markets Subscribe to Pivot on Apple Podcasts: https://podcasts.apple.com/us/podcast/pivot/id1073226719 Subscribe to Pivot on Spotify: https://open.spotify.com/show/4MU3RFGELZxPT9XHVwTNPR Follow us on Instagram and Threads at: https://www.instagram.com/pivotpodcastofficial Follow us on TikTok: https://www.tiktok.com/@PIVOTPODCAST Send us your questions by calling us at 855-51-PIVOT, or at https://podcasts.voxmedia.com/show/pivot

Kara SwisherhostScott Gallowayhost
Jan 27, 20257mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

DeepSeek Disrupts AI Economics, Rattles Nvidia, And Tests US Strategy

  1. The episode examines how Chinese AI model DeepSeek, touted as cheaper and highly capable, has jolted Silicon Valley and Wall Street, triggering sharp drops in Nvidia and other tech and energy-related stocks. Scott Galloway and Kara Swisher discuss whether DeepSeek undermines the assumption that cutting-edge AI requires massive GPU spending and energy consumption. They explore the role of open source in enabling DeepSeek, with Meta’s Yann LeCun arguing that open models, not China per se, are surpassing proprietary ones. The conversation closes on broader implications: regulatory choices, free trade, market corrections, and whether this shock is a blip or the start of a deeper tech revaluation.

IDEAS WORTH REMEMBERING

5 ideas

Cheaper, efficient AI models can upend capital-intensive AI strategies.

DeepSeek reportedly matches or beats top Western models while costing a fraction to train, questioning the assumption that AI dominance requires unlimited GPU and energy spending.

Markets were primed for a correction in AI-related stocks.

Nvidia and others shed huge market value on the DeepSeek news, but prices merely reverted to levels from a few months prior, suggesting froth rather than structural collapse—at least so far.

Open source is accelerating AI progress globally, including in China.

DeepSeek leveraged open research and open-source tools like PyTorch and LLaMA, illustrating LeCun’s point that open models can outperform proprietary ones and spread capabilities beyond US firms.

Export controls can motivate innovative workarounds, not just slow rivals.

By limiting Nvidia GPU sales to China, US policy may have pushed Chinese firms to find more efficient methods, arguably increasing long‑term competitive pressure on US tech.

The AI stack is likely to bifurcate into ‘Walmart’ and ‘Tiffany’ tiers.

Analysts foresee a cheap, good-enough layer of models (where DeepSeek might sit) and a high-end, high‑compute tier for the most advanced capabilities, rather than a single, monolithic market.

WORDS WORTH SAVING

5 quotes

This workaround might tank the US economy.

Scott Galloway

DeepSeek has profited from open research and open source... Because their work is published and open source, everyone can profit from it.

Yann LeCun (quoted by Kara Swisher)

The correct reading is open-sourced models are surpassing proprietary ones.

Yann LeCun (quoted by Kara Swisher)

Everything eventually goes Walmart, Tiffany, right? And they’re saying this might be the Walmart, and it’s the Chinese.

Scott Galloway

If we had let them just buy NVIDIA GPUs, would they have figured out this workaround?

Scott Galloway

DeepSeek’s performance, cost advantages, and impact on AI competitionMarket reaction: Nvidia, big tech, and energy-related stock volatilityChallenging the brute-force, GPU-heavy AI development modelOpen source vs proprietary AI and Yann LeCun’s public argumentsGeopolitics, US export controls, and Chinese AI workaroundsSafety, guardrails, and differences among major AI model providersBroader economic risk: potential tech correction and systemic exposure

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