Nvidia Triples Code Output; Deploys Codex AI to 30,000 Engineers

In a definitive move toward full-scale automation, Nvidia has officially rolled out the agentic coding tool Codex to its entire engineering workforce of 30,000.

This company-wide deployment, announced in mid-February 2026, fulfills CEO Jensen Huang’s directive to automate every possible task within the organization using artificial intelligence.

Nvidia Push for “Agentic” Engineering

The deployment follows a series of internal mandates where Huang urged staff to lean into AI tools, famously telling employees during an all-hands meeting that it was “insane” to discourage AI use.

Codex, powered by OpenAI’s latest GPT-5.3-Codex model, is not a simple autocomplete tool.

It is an “agentic” system capable of handling complex, multi-step workflows—such as debugging entire repositories, monitoring infrastructure, and writing scripts to scale GPU clusters—without losing context.

Nvidia engineers have reported that the tool maintains high performance even during deep, multi-hour sessions.

By integrating Codex, Nvidia has reportedly tripled its code output while maintaining stable bug rates, allowing developers to focus on high-level problem-solving rather than rote syntax.

Security and Infrastructure

Given Nvidia’s role in global AI infrastructure, security was a paramount concern for the rollout.

OpenAI worked closely with the chipmaker to deliver a version of Codex featuring cloud-managed admin controls and US-only data processing.

These fail-safes ensure that sensitive proprietary code remains protected within a sovereign environment while benefiting from the model’s advanced reasoning capabilities.

A Strategy of Growth, Not Replacement

Despite the aggressive shift toward automation, Jensen Huang remains adamant that AI will grow Nvidia’s workforce rather than shrink it.

He argues that by automating the “drudgery” of coding, engineers are freed to tackle more complex architectural challenges.

The company continues to hire aggressively, currently seeking to add roughly 10,000 more roles globally to support its expanding “AI Factory” vision.

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