Jensen Huang on Open-Source AI — CES 2026, GTC 2026, LangChain Interview

Jensen Huang on Open-Source AI — CES 2026, GTC 2026, LangChain Interview · 2026-07 · primary

Themes: Open Source as Strategy · Economic Argument

Every position this source takes

jevons-paradox-grows-usage — this source asserts it

Cheaper and more available models increase total consumption of intelligence rather than displacing it, and the volume creates economies of scale.

> "It's 10 times as cheap as Opus... When you have cost-effective intelligence, people just use more of it. When you have a cost-effective agent, then you can iterate across a larger search space."

Jensen Huang on Open-Source AI — CES 2026, GTC 2026, LangChain Interview · 2026-07

open-models-guarantee-availability — this source asserts it

Open models keep AI continually available, rather than dependent on any one provider's decisions.

> "Every company in the world should be able to — every developer in the world should be able to now create these super agents, deploy it anywhere in the cloud, on-prem... There are no excuses not to engage it."

Jensen Huang on Open-Source AI — CES 2026, GTC 2026, LangChain Interview · 2026-07

price-erosion-damages-closed-models — this source asserts it

Open models damage the business case of closed models by putting downward pressure on prices.

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