Technology
Charting the Automation Potential of U.S. Jobs
Charting the Automation Potential of U.S. Jobs
In last week’s Chart of the Week, we noted that 1.3 million industrial robots would be installed between 2015 and 2018, and this would more than double the stock of active robots around the world.
While many of those robots will be used in the automotive and electronics sectors, there are many other roles that robots will be filling in the future. Surprisingly, according to global consultant McKinsey & Co, not all of these jobs are low-skill, low-wage jobs, either.
Mckinsey ran a comprehensive study of nearly 800 different jobs in the United States, ranging from CEOs to fast food workers. Between these roles, they found 2,000 individual work activities, and assessed them against 18 different capabilities that could potentially be automated. In their analysis, they found that 45% of work activities representing $2 trillion in wages can already by automated based on proven technology that currently exists. A further 13% of work activities in the U.S. economy could be automated if the technologies used to understand and process human language were brought up to the median human level of competence.
Who’s in, Who’s Out?
The interactive visualization above charts specific careers on their automation potential (out of 100%) along with the hourly average wage of the job.
What is most interesting about the analysis is that automation potential doesn’t correlate with low-skill, low-wage jobs as much as one may think. While it’s true that the three million fast food workers across the country have an automation potential of 74%, and that heavy truck driving activities can be 69% automated, there are also great counter-examples: for example, only 7% of manual labor and 22% of janitorial activities could be automated.
Likewise, high-paying jobs are not necessarily robot-proof.
Doctors (23%), nurses (29%), and even CEOs (25%) all have significant amounts of their jobs that can be automated with current technology. Almost half (47%) of what pharmacists do can be done by a robo-pharmacist, and 72% of commercial pilot activities can be done through computers.
Not interested in having a robot fill your shoes? Mckinsey notes at the end of their analysis that both creativity and sensing emotion are extremely difficult to automate. Focus on building skills and competencies in these categories, and you’ll be just fine (for now, at least).
Technology
Nvidia Joins the Trillion Dollar Club
America’s biggest chipmaker Nvidia has joined the trillion dollar club as advancements in AI move at lightning speed.
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 Club | Market Cap in trillions | Peak Market Cap in trillions |
|
|---|---|---|---|
| Apple | Aug 2018 | $2.78 | $2.94 |
| Microsoft | Apr 2019 | $2.47 | $2.58 |
| Aramco | Dec 2019 | $2.06 | $2.45 |
| Alphabet | Jul 2020 | $1.58 | $1.98 |
| Amazon | Apr 2020 | $1.25 | $1.88 |
| Meta | Jun 2021 | $0.68 | $1.07 |
| Tesla | Oct 2021 | $0.63 | $1.23 |
| Nvidia | May 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 Ratio | Net Profit Margin (Annual) | |
|---|---|---|
| Apple | 30.2 | 25.3% |
| Microsoft | 36.1 | 36.7% |
| Aramco | 13.5 | 26.4% |
| Alphabet | 28.2 | 21.2% |
| Amazon | 294.2 | -0.5% |
| Meta | 33.9 | 19.9% |
| Tesla | 59.0 | 15.4% |
| Nvidia | 214.4 | 16.19% |
Consider how this looks for revenue of Nvidia compared to other big tech names:
$NVDA $963 billion market cap, 38x Revenue
$MSFT $2.5 trillion market cap, 12x Revenue$TSLA $612 billion market cap, 7.8x Revenue$AAPL $2.75 trillion market cap, 7.3x Revenue$GOOG $1.6 trillion market cap, 6.1x Revenue$META $672 billion market cap, 6x Revenue pic.twitter.com/VgkKAfiydx— Martin Pelletier (@MPelletierCIO) May 29, 2023
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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