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Everything You Need to Know About Autonomous Vehicles

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Believe it or not, autonomous vehicles have been many decades in the making.

Even in 1939, General Motors had an exhibit called “Futurama” at the New York World’s Fair that presented a model of the world 20 years in the future. Central to this display was a system of automated highways and vast suburbs, with a focus on how automation could reduce traffic congestion and lead to the free-flowing movement of people and goods.

Since then, many autonomous vehicle concepts have popped up at various times – but they have always fell short due to technical limitations. Only recently, due to advances in technology, have self-driving cars been able to overcome three primary engineering challenges: sensing the surrounding environment, processing information, and reacting to that environment.

Today, the future for autonomous vehicles is bright, and it is expected that there will be millions of self-driving cars on the road by 2035, creating a multi-billion dollar market.

Autonomous Vehicles: What You Need To Know

The following infographic comes to us from Get Off Road, and it shows the history of autonomous vehicles, how they work, the technical challenges overcome so far, and what the near-future of driverless cars may look like.

Autonomous Vehicles Infographic

Want to learn more about autonomous vehicles?

Here’s six problems that driverless cars must solve before they go mainstream.

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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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