Chipmaker Nvidia is worth nearly as much as the entire Canadian economy. Here's why

Technology giant Nvidia is hitting new heights thanks to demand for products connected to artificial intelligence, leading the chipmakerto a marketvaluethat this week approachedthat ofthe entire Canadian economy.

The California-based company briefly hit $2 trillion US in overallvalue, or market capitalization, for the first time on Friday, riding oninsatiable demand for its semiconductors and chips.

The entire Canadian economy, as measured by GDP, was $2.12 trillion US in 2023 according to the International Monetary Fund.

Less than a year ago, Nvidia was worth about $1 trillion US. Its growth over the past eight months has beencharacterized asthe fastest amongU.S. companies. Nvidia went from $1 trillion to $2 trillion in value in less than half the time it took techgiants Apple and Microsoft.

The milestone followed another bumper revenue forecastthat drove up its market value by $277 billion US on Thursday Wall Street's largest one-day gain onrecord.

By Friday, Nvidia's market capitalization (its total value on the stock market) was higher than Amazon or Google's parent company Alphabet.

"Demand is surging worldwide across companies, industries and nations," founder and CEO Jensen Huang wrote in a statementwith the company's latest financial results.

From video games to AI

It's a big shift for a company that has become one of the biggest players in AI after building its initial name by creatinggraphics chips used to drive video games on personal computers and devices such as the Nintendo Switch.

"I've never seen anything quite like this," said analyst Stacy Rasgon, who focuses on semiconductors forBernstein Research.

Rasgon is among many industry analysts pointing out that Nvidia's previous bread and butter turned out to be well suited for generative artificial intelligence and itsassociated technologies.

"Itbecame clear that you could use these thingsto do machine learning and everything kind of snowballed from there," said Rasgon.

"Researchersdiscovered that the graphics chips thatNvidia was developing...lent themselves very well to running AI algorithms," said Emil Savov, managing director of Ontario'sMaRS Investment Accelerator Fund.

"That gave them a really big head start."

Few competitors

For now, stock market analysts say Nvidiadoes not have competitors who can match itsproduction of products to support AI.

"Nvidia has, I think, an 80 per centmarket share, really no competition at the moment. And the company [has predicted]really tremendous growth from AI workflows going forward. And they think we're just getting started," said Barry Schwartz, withBaskin Wealth Management in Toronto.

Schwartz has said that while many tech companies are moving into AI, one of the only outfitsthat can supply the actual hardware to power all those calculations is Nvidia.

And yet many of those companies are working to wean themselves off Nvidia, according to industry watchers such as Emil Savov.

"Someof the large cloud providers like Google, Microsoft, Amazon Web Services arerumoured, or more than rumoured to be developing their own chips... to lessen, to a certain extent, their dependence on Nvidia," he said.

'Very long and very robust'

With competitors ramping up their own production, and high stock prices indicating investorinterest in artificial intelligence, the market for artificial intelligence chips may stay red hot.

"I still think in five years or ten years, we will be talking about numbers that are materially higher than what we're talking about today," predicted semiconductor analystStacy Rasgon.

While Rasgon is predicting a "very long and very robust" upward trend for semiconductor and computer chip manufacturers such as Nvidia, he pointed out that even the company itself says supply chain and manufacturing bottlenecks could be a problem.

"Demand is still vastly exceeding their ability to supply," said Rasgon.

Ups and downs aren't new for companies such as Nvidia. Its graphics cards were hard to find back in 2022 amid an industry-wide shortage, for instance.Demand was high, in part, due to buyersusing the cards for mining cryptocurrencies.

Butcomputer science expert Gennady Pekhimenkosays he does not expect the interest in Nvidia's technology to follow the eventual bust of the crypto boom.

"The fundamental differencehere, not just[for] Nvidia alone, is theuse case," saidPekhimenko, who is an associate professor of computer science at the University of Toronto.

Pekhimenko saysthat when so many technologies are using AI, the demand for the hardware to power it will be even higher and that multiple companies, not just Nvidia, will be working to supply.

"We use it on our phones already. We use it in the cloud. We use things like ChatGPT. We use facial recognition features in our phones," said Pekhimenko, who is alsoco-founderof CentML, a company that has received investment from Nvidia anddevelops products that optimize machine learning technology.

"I see howhumongous the demand is for it... [Nvidia]are operating at the limit of what they can manufacture really. And I think they will manufacture more," he said.