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What Happens in an Internet Minute in 2016?

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Last week, we published U.S. consumption numbers in real-time, highlighting the speed at which physical goods and services are purchased.

Today, we enter into the digital realm to see what happens every minute on the internet. The statistics are mind-boggling and put in perspective how scalable platforms have taken over the world:

What Happens in an Internet Minute in 2016?

The above infographic shows how truly important the element of scale is to business today.

Google literally processes 2.4 million searches every minute. In that same span of time, 700,000 people login to Facebook and Amazon sells over $200,000 of physical and digital goods.

Platforms such as the ones listed above are comparable in magnitude to other mega-sized companies, but without the intense capital expenditures, debt, or hard costs. That’s why Alphabet, Google’s parent company, can spend over a billion dollars each year on “moonshots”, and why Facebook’s stock is up 35.6% over the last 52 weeks.

Here are the full stats on what happens every internet minute:

  • 701,389 logins on Facebook
  • 69,444 hours watched on Netflix
  • 150 million emails sent
  • 1,389 Uber rides
  • 527,760 photos shared on Snapchat
  • 51,000 app downloads on Apple’s App Store
  • $203,596 in sales on Amazon.com
  • 120+ new Linkedin accounts
  • 347,222 tweets on Twitter
  • 28,194 new posts to Instagram
  • 38,052 hours of music listened to on Spotify
  • 1.04 million vine loops
  • 2.4 million search queries on Google
  • 972,222 Tinder swipes
  • 2.78 million video views on Youtube
  • 20.8 million messages on WhatsApp

That’s a lot of data every minute, and this volume of information is part of the reason that these same companies are prioritizing the ability to process and interpret big data more than ever before.

Original graphic by: Excelacom

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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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