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Nvidia Joins the Trillion Dollar Club

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Chart showing Nvidia surpassing the $1 trillion market cap milestone becoming the eighth company to join that club

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Nvidia Joins the Trillion Dollar Club

Chipmaker Nvidia is now worth nearly as much as Amazon.

America’s largest semiconductor company has vaulted past the $1 trillion market capitalization mark, a milestone reached by just a handful of companies including Apple, Amazon, and Microsoft. While many of these are household names, Nvidia has only recently gained widespread attention amid the AI boom.

The above graphic compares Nvidia to the seven companies that have reached the trillion dollar club.

Riding the AI Wave

Nvidia’s market cap has more than doubled in 2023 to over $1 trillion.

The company designs semiconductor chips that are made of silicon slices that contain specific patterns. Just like you flip an electrical switch by turning on a light at home, these chips have billions of switches that process complex information simultaneously.

Today, they are integral to many AI functions—from OpenAI’s ChatGPT to image generation. Here’s how Nvidia stands up against companies that have achieved the trillion dollar milestone:

Joined ClubMarket Cap
in trillions
Peak Market Cap
in trillions
AppleAug 2018$2.78$2.94
MicrosoftApr 2019$2.47$2.58
AramcoDec 2019$2.06$2.45
AlphabetJul 2020$1.58$1.98
AmazonApr 2020$1.25$1.88
MetaJun 2021$0.68$1.07
TeslaOct 2021$0.63$1.23
NvidiaMay 2023$1.02$1.02

Note: Market caps as of May 30th, 2023

After posting record sales, the company added $184 billion to its market value in one day. Only two other companies have exceeded this number: Amazon ($191 billion), and Apple ($191 billion).

As Nvidia’s market cap reaches new heights, many are wondering if its explosive growth will continue—or if the AI craze is merely temporary. There are cases to be made on both sides.

Bull Case Scenario

Big tech companies are racing to develop capabilities like OpenAI. These types of generative AI require vastly higher amounts of computing power, especially as they become more sophisticated.

Many tech giants, including Google and Microsoft use Nvidia chips to power their AI operations. Consider how Google plans to use generative AI in six products in the future. Each of these have over 2 billion users.

Nvidia has also launched new products days since its stratospheric rise, spanning from robotics to gaming. Leading the way is the A100, a powerful graphics processing unit (GPU) well-suited for machine learning. Additionally, it announced a new supercomputer platform that Google, Microsoft, and Meta are first in line for. Overall, 65,000 companies globally use the company’s chips for a wide range of functions.

Bear Case Scenario

While extreme investor optimism has launched Nvidia to record highs, how do some of its fundamental valuations stack up to other giants?

As the table below shows, its price to earnings (P/E) ratio is second-only to Amazon, at 214.4. This shows how much a shareholder pays compared to the earnings of a company. Here, the company’s share price is over 200 times its earnings on a per share basis.

P/E RatioNet Profit Margin (Annual)
Apple30.225.3%
Microsoft36.136.7%
Aramco13.526.4%
Alphabet28.221.2%
Amazon294.2-0.5%
Meta33.919.9%
Tesla59.015.4%
Nvidia214.416.19%

Consider how this looks for revenue of Nvidia compared to other big tech names:

For some, Nvidia’s valuation seems unrealistic even in spite of the prospects of AI. While Nvidia has $11 billion in projected revenue for the next quarter, it would still mean significantly higher multiples than its big tech peers. This suggests the company is overvalued at current prices.

Nvidia’s Growth: Will it Last?

This is not the first time Nvidia’s market cap has rocketed up.

During the crypto rally of 2021, its share price skyrocketed over 100% as demand for its GPUs increased. These specialist chips help mine cryptocurrency, and a jump in demand led to a shortage of chips at the time.

As cryptocurrencies lost their lustre, Nvidia’s share price sank over 46% the following year.

By comparison, AI advancements could have more transformative power. Big tech is rushing to partner with Nvidia, potentially reshaping everything from search to advertising.

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Charted: The Jobs Most Impacted by AI

We visualized the results of an analysis by the World Economic Forum, which uncovered the jobs most impacted by AI.

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Charted: The Jobs Most Impacted by AI

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Large language models (LLMs) and other generative AI tools haven’t been around for very long, but they’re expected to have far-reaching impacts on the way people do their jobs. With this in mind, researchers have already begun studying the potential impacts of this transformative technology.

In this graphic, we’ve visualized the results of a World Economic Forum report, which estimated how different job departments will be exposed to AI disruption.

Data and Methodology

To identify the job departments most impacted by AI, researchers assessed over 19,000 occupational tasks (e.g. reading documents) to determine if they relied on language. If a task was deemed language-based, it was then determined how much human involvement was needed to complete that task.

With this analysis, researchers were then able to estimate how AI would impact different occupational groups.

DepartmentLarge impact (%)Small impact (%)No impact (%)
IT73261
Finance70219
Customer Sales671617
Operations651817
HR57412
Marketing56413
Legal46504
Supply Chain431839

In our graphic, large impact refers to tasks that will be fully automated or significantly altered by AI technologies. Small impact refers to tasks that have a lesser potential for disruption.

Where AI will make the biggest impact

Jobs in information technology (IT) and finance have the highest share of tasks expected to be largely impacted by AI.

Within IT, tasks that are expected to be automated include software quality assurance and customer support. On the finance side, researchers believe that AI could be significantly useful for bookkeeping, accounting, and auditing.

Still interested in AI? Check out this graphic which ranked the most commonly used AI tools in 2023.

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