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Timeline: The March to a Billion Users [Chart]

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Timeline: The March to a Billion Users [Chart]

The March to a Billion Users

How long did it take for each app to hit the 1B mark?

The Chart of the Week is a weekly Visual Capitalist feature on Fridays.

With approximately 3.3 billion people now using the internet, how hard can it possibly be to reach one billion of them each month?

It turns out that it’s quite a challenge.

Apple, the largest company by market capitalization, doesn’t have a single product with that kind of penetration.

WeChat, which is the most popular mobile messaging app in China, couldn’t reach one billion active users even if it was used by every single person with a smartphone in China. That’s why the app “only” has 650 million active users right now.

Meanwhile, names such as Reddit, Twitter, Pinterest, and Instagram all boast hundreds of millions of users. However, none of these are able to yet have the global market penetration to reach the coveted billion mark.

The Big Three

So far, the only companies in possession of apps or programs with more than one billion active users are Google, Facebook, and Microsoft.

Amazingly, Google alone has seven of them: Search, Gmail, Maps, YouTube, Android, Chrome, and Play. The last of these to reach the one billion mark was Gmail, as per Alphabet’s announcement earlier this month during an earnings call.

Google also has the app that reached one billion users the quickest: Android did it in only 5.8 years.

Facebook also has three apps that can make the billion user claim. Facebook itself has the largest audience out of all of these apps, with 1.59 billion monthly active users. WhatsApp, which Facebook bought for $22 billion in October 2014, has also recently announced on its blog that it also surpassed the one billion user mark. This now fulfills a promise that Mark Zuckerberg made to Facebook shareholders at the deal’s outset.

Lastly, there’s Microsoft’s Windows and Office products, which are the only paid products that could crack the list. They took the longest to get there: 25.8 years and 21.7 years respectively.

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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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