Technology
What Happens in an Internet Minute in 2018?
In your everyday life, a minute might not seem like much.
But when it comes to the vast scale of the internet, a minute of time goes much further than you ever could have imagined. That’s because the internet has a degree of scale that our linear human brains are unaccustomed to operating on.
An Internet Minute in 2018
Today’s infographic is from Lori Lewis and Chadd Callahan of Cumulus Media, and it shows the activity taking place on various platforms such as Facebook or Google in each 60 second span.
It really helps put an internet minute in perspective.
Just a Minute, Please
The numbers for these services are so enormous that they can only be shown using the 60 second time scale.
Any bigger, and our brains can’t even process these massive quantities in any useful capacity. Here are just a few key numbers scaled to a monthly basis, for fun:
- 42,033,600,000 Facebook logins
- 159,840,000,000 Google searches
- 1,641,600,000,000 WhatsApp messages sent
- 8,078,400,000,000 emails sent
On an annualized basis, the data becomes even more ridiculous, with something close to 100 trillion emails sent. (No wonder it’s so hard to get to inbox zero!)
Previous Minutes
If the internet minute visualization looks familiar, that’s because it gets updated and re-released every year using the latest data available. See below for a direct comparison of the last two years:
The biggest and most noticeable jump comes in Netflix hours watched – a number which we believe may be too good to be true. While we have not seen the exact methodology of these calculations, we do know that in December it was announced by Netflix that users were watching approximately 140 million hours per day. This works out to roughly 100,000 hours per minute according to our math, which is still mind-boggling.
See the additional evolution of this chart by checking out the 2016 version as well.
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.
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.
Department | Large impact (%) | Small impact (%) | No impact (%) |
---|---|---|---|
IT | 73 | 26 | 1 |
Finance | 70 | 21 | 9 |
Customer Sales | 67 | 16 | 17 |
Operations | 65 | 18 | 17 |
HR | 57 | 41 | 2 |
Marketing | 56 | 41 | 3 |
Legal | 46 | 50 | 4 |
Supply Chain | 43 | 18 | 39 |
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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