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The Rising Speed of Technological Adoption

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The Rising Speed of Technological Adoption

Technological progress is not the only thing rising at an exponential rate.

The rate at which newly commercialized technologies get adopted by consumers is also getting faster, too.

In the modern world, through increased connectivity, instant communication, and established infrastructure systems, new ideas and products can spread at speeds never seen before – and this enables a new product to get in the hands of consumers in the blink of an eye.

Visualizing Technological Adoption

Today’s dynamic chart comes to us from Our World in Data, and it allows you to compare the adoption rates of new technologies over the period of more than a century.

In addition to the technologies you’ll find embedded on the initial chart above, you can also use the “Add technology” tab of the chart (bottom left) to list up to 40 tech data series on the chart in total. This allows you to gauge adoption rates for everything from color televisions to washing machines, while giving you an idea of the trajectory of many common technologies today.

A Blast From the Past

To get the full impact of the chart, it’s worth removing more modern technologies like smartphones, social media, tablets, cellular phones, and the internet from the list.

Here’s a look at adoption rates for the household appliances and products today that we would consider pretty essential, over a period of more than 120 years:

The telephone was invented in 1876, but it wasn’t until a century later that landlines reached a saturation point in households.

For this to happen, massive amounts of infrastructure had to be built and network effects also needed to accumulate to make the product worthwhile for consumers. Further, the telephone suffered from the “last-mile problem”, in which the logistics get tougher and more expensive as end-users get hooked up to a network.

As a result, it wasn’t until the 1960s that 80% of U.S. households had landlines in them.

New Adoption Speeds

Now, here’s a chart with many older technologies removed – keep in mind that the x axis has changed to a much shorter timespan (~65 years):

Microwaves, cell phones, smartphones, social media, tablets, and other inventions from the modern era all show fast-rising adoption rates. Standing out most on the chart is the tablet computer, which went from nearly 0% to 50% adoption in five years or so.

Why do newer technologies get adopted so quickly? It seems partly because modern tech needs less infrastructure in contrast with the water pipes, cable lines, electricity grids, and telephone wires that had to be installed throughout the 20th century.

However, it also says something else about today’s consumers – which is that they are connected, fast-acting, and not afraid to adopt the new technologies that can quickly impact their lives for the better.

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Technology

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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