Jensen Huang is pushing back hard on the idea that AI is gutting software engineering jobs. Speaking with Bloomberg on June 1, the CEO of NVIDIA (NASDAQ:NVDA | NVDA Price Prediction) called the prevailing narrative around AI-driven layoffs “Complete nonsense” and argued that the productivity unlocked by agentic AI is pushing companies to hire more engineers.
What Huang Actually Said
Huang’s message on Bloomberg was blunt. “The number of engineers, software engineers, is actually increasing,” he said, before adding, “People talk about AI reducing jobs. Complete nonsense.”
The economic logic he laid out hinges on the productivity multiplier that AI tools give a single engineer. “If you can hire a software engineer and you could generate $9 trillion worth of productive work, why wouldn’t you want to hire more software engineers?” Huang asked. He continued: “Because the output is so incredible, people want to hire more software engineers. This is going to show up in our economy somehow soon.”
Readers can watch Bureau of Labor Statistics payroll data, major-employer hiring announcements, and software company earnings calls to see how Nvidia CEO Jensen Huang’s prediction plays out. Total nonfarm payrolls sat at 158,736 thousand in April 2026, a level that has been broadly stable since late 2024.
Huang Isn’t Neutral (But He’s Probably Right)
Of course, Jensen Huang has a commercial interest in selling this narrative. NVIDIA sits at the center of the AI infrastructure boom, and the company’s latest results suggest customers continue to spend aggressively on AI capacity. He is also the most powerful CEO in the AI compute stack, and NVIDIA’s most recent results back up his claim that customers are racing to deploy more capacity.
While he might be biased, he’s also closer to the latest AI developments than virtually anyone in the world.
In Q1 FY2027, reported May 20, 2026, NVIDIA delivered revenue of $81.615 billion, up 85.23% year over year, with non-GAAP diluted EPS of $1.87. Data Center revenue alone hit $75.246 billion, up 92% YoY, and Data Center Networking soared 199% as InfiniBand, Spectrum-X, and NVLink demand tripled. Guidance for Q2 FY2027 calls for $91.0 billion in revenue, plus or minus 2%.
On the call, Huang described the moment in sweeping terms: “The buildout of AI factories, the largest infrastructure expansion in human history, is accelerating at extraordinary speed.” He also pointed to agentic AI as already “doing productive work, generating real value and scaling rapidly across companies and industries.”
The Investor Takeaway
If AI tools make workers dramatically more productive while companies continue expanding engineering teams, the GPU demand runway could remain strong for far longer than many skeptics expect. That would support continued investment in data centers, networking equipment, and the GPUs that power modern AI systems.
Investors should pay close attention to software companies’ hiring plans, hyperscaler capital spending, and labor market data to see whether Huang’s prediction begins to show up in the numbers.
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