CEO Jensen Huang gave a presentation on Monday to kick off CES 2026, the big tech expo formerly known as the "Consumer Electronics Show." Huang explains that what used to be compute is now data. He also explains how the artificial intelligence (AI) chipmaker is using synthetic data to train its autonomous driving AI tech.

Artificial intelligence won't be training AI anytime soon, says Invisible Technologies CEO.

First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The world moves, behaviors shift, economies cycle and disease patterns evolve. If synthetic distributions are not updated in response to lived reality, the system begins to model a world that no longer exists.

The industry’s answer? Synthetic data. “Recently in the industry, synthetic data has been talked about a lot,” said Sebastien Bubeck, a member of technical staff at OpenAI, in the company’s livestreamed release of GPT-5 last week. Bubeck stressed ...

In a time when health systems are struggling to gain meaningful insights from data – and simultaneously aware that safeguarding patient privacy is essential – synthetic data offers a lot of potential. Synthetic data refers to artificially generated ...

Together, they create an infrastructure layer designed for a world where attacks are automated, data is abundant and digital systems shape real-world outcomes.

We’ve seen the first AI-generated commercials, songs and even social media influencers outside of healthcare. Will pharma be next?