Nvidia chief executive Jensen Huang has a simple answer for investors worried that the chipmaker is helping finance its own customers: put in $1 and get $100 back.

Huang used that shorthand at Goldman Sachs’ Communacopia + Technology Conference while defending Nvidia’s growing investments across the AI ecosystem.

Yet Nvidia stock NASDAQ:NVDA fell 2.37% to $218.36, its third consecutive decline.

The Nasdaq also dropped 0.65% as Treasury yields approached 5% and oil surged, so the sell-off was not simply a verdict on Huang.

Nvidia is helping build the buyers for its GPUs

Huang rejected suggestions that Nvidia’s investments amounted to circular financing.

“It’s not circular because we put a little bit of money in, and a lot of money comes back,” he told the Goldman conference. He later summarised the logic more bluntly, “I put in one, and a hundred comes back.”

The figure was rhetorical, not a disclosed 100-times investment return.

Nvidia has invested about $50 billion in AI labs. It has also agreed to provide guarantees of up to $105 billion linked to OpenAI’s Ohio data-centre project, where Nvidia is the exclusive chip supplier.

A financing platform aims to mobilise roughly $500 billion of third-party capital.

David Wagner of Aptus Capital Advisors told The Washington Post that he was “not worried about it at all”, noting that institutions including BlackRock, Blackstone, Apollo and Goldman Sachs are supplying much of that capital.

Nvidia is effectively helping accelerate the infrastructure that creates demand for its chips.

The uncomfortable question is how independent that demand is

Supplier financing is hardly new. Aerospace, telecoms and industrial companies have supported customers buying expensive equipment for decades.

What makes Nvidia different is the scale and interconnectedness of the AI buildout.

Nvidia can invest in an AI company, support financing for its data centre, supply the GPUs inside it and benefit as that customer expands.

That can create a powerful commercial flywheel. It can also make the flow of capital and demand increasingly intertwined.

Gary Tan of Allspring Global Investments told the Los Angeles Times that “capital is increasingly being used to fund future AI customers and infrastructure deployments.”

The risk becomes clearer if AI spending slows. Highly leveraged cloud operators need strong utilisation and pricing to service debt and justify new capacity.

Even enormous orders may not be a perfect signal

Nvidia’s outlook remains exceptional, as the company expects revenue to grow about 70% in its next fiscal year, while Goldman Sachs reiterated a Buy rating and $300 target, citing AI demand and supply dynamics.

Shortages can distort ordering behaviour.

Investor Dan Niles has warned that large customers facing scarce supply can request far more chips than they ultimately need.

“They all double order,” he said, explaining that hyperscalers may over-order because they expect only part of their requested supply to arrive.

Niles remains bullish on Nvidia, but the point complicates how investors interpret demand.