Technology

Visualizing the Jobs Lost to Automation

Published

6 years ago

May 30, 2017

Jeff Desjardins

Jobs Lost to Automation

Visualizing the Jobs Lost to Automation

The employment landscape of the future will look very different than it does today.

While we’ve charted the automation potential of U.S. jobs before, today’s graphic from Henrik Lindberg perhaps tells the story more succinctly.

In plain black and white, it shows the jobs that exist today in contrast to the jobs that are expected to disappear as a result of automation in the workplace. Though, technically speaking, it is applying the probabilities of the widely-cited Frey & Osborne (2013) study to U.S. jobs as of 2016 to give an expected value to each job title.

A Different Landscape

In the near-future, many of today’s most common jobs may be changed profoundly. People working as retail salespersons, cashiers, fast food counter workers, and truck drivers will likely see opportunities in those fields dry up as automation takes place.

At the same time, jobs such as those in teaching and nursing are expected to stand the test of time, as they require empathy, creativity, and a human touch not yet available through machines. In the coming decades, it’s possible that these could even be professions that employ the most people overall.

Casualties of the Fall?

In the vastly different employment landscape of the future, the worry is that low income workers will have fewer opportunities available to them as technology comes into play.

The good news? Historically this has not been true. As an example, nearly 500 years ago, Queen Elizabeth I had a similar fear when she denied a patent for an automated knitting machine. The thought was that the machine would kill jobs, though eventually factories and companies adopted similar technologies anyways. With the lower prices, higher demand for knitted goods, and more capital for investment, jobs for factory weavers actually quadrupled in the coming years.

As we’ve seen over time, while machines destroy jobs, they also often create new ones.

Composition of U.S. Job Market over the Last 150+ Years

Jobs as a Percent

The bad news? It is now clear that agricultural jobs of the early 20th century were replaced with the white collar jobs of today. However, it is much more difficult to forecast out how some of the jobs of the future will be created, especially for low income workers.

The knitting example above certainly applies in some situations – but in others, it’s hard to say what will happen. For example, with millions of unemployed long-haul truck drivers, what roles will these people be taking in the future job market?

Even with costs of transportation and logistics going down, increased demand, and more capital to invest, it seems that there’s going to be a lengthy period of time where many of these people will have trouble finding work.

Do they join the company to help manage the many more trucks that are self-driving? It’s unlikely, and that is the part of the optimism about automation and future jobs that is the hardest to reconcile.

Related Topics:robots jobs automation unemployment employment

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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.

Published

5 days ago

May 30, 2023

Dorothy Neufeld

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.