Nvidia CEO tells staff to automate every possible task with AI, says jobs are safe

NVIDIA’s CEO Jensen Huang

Nvidia CEO Jensen Huang has urged employees across the company to rely on artificial intelligence for as many daily tasks as possible, emphasising that automation should be embraced rather than restricted. Speaking at an internal all-hands meeting held after the company’s latest quarterly results, Huang addressed concerns raised by some managers who had reportedly advised teams to slow down their AI usage.

According to Business Insider, Huang rejected the idea of limiting AI tools inside the organisation. He said employees should automate every task that can be automated and treat AI as a core part of their workflow. The comments come at a time when Nvidia continues to lead the global AI hardware race, with its data-centre GPUs powering a major share of the world’s model training and inference systems.

Huang told employees that despite widespread fears about automation and job loss, Nvidia’s internal direction is the opposite. He claimed the company is expanding its workforce rapidly, noting that thousands of new hires were added recently and more recruitment is underway. He also highlighted infrastructure strain, joking that office parking spaces were now under pressure because of the accelerated hiring.

The company’s growth outlook remains strong, with Huang indicating that Nvidia could still be short by nearly 10,000 employees based on its workload and product roadmap. However, he added that hiring must match the company’s ability to train, integrate, and align new talent.

The push for AI-first working culture at Nvidia aligns with trends across the broader tech sector. Companies including Microsoft, Meta, and Google have reportedly begun assessing employees based on their adoption of AI tools, especially for coding, documentation, and decision-making. Amazon is also exploring deeper integration of AI coding assistants following internal demand.

Huang also mentioned that Nvidia’s engineers use Cursor, an AI-powered coding assistant, and encouraged employees to persist with AI tools even if they do not immediately produce the desired output. He recommended a continuous-improvement approach—using AI repeatedly until it delivers reliable results, and improving the tools when necessary.

The company’s strong financial performance has strengthened its position in the AI ecosystem. Nvidia recently crossed a market valuation of more than $4 trillion and reported quarterly revenue exceeding $57 billion, driven primarily by demand for AI chips.