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The Progress of Facebook’s 10-Year Masterplan

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The Progress of Facebook's 10-Year Masterplan

The Details of Facebook’s 10-Year Masterplan

In the company’s first 10 years, Mark Zuckerberg transformed Facebook from a college side-project into a multi-billion dollar platform.

Along the way, Zuckerberg was given many opportunities to exit. He was offered $75 million from Viacom in the very early days, and then $1.5 billion later on (including $800 million cash up front). Yahoo also missed out on making a deal after having its $1 billion offer rejected in 2006.

Zucks kept to his guns, even despite significant pressure to sell. As Peter Thiel recounts, Zuckerberg didn’t know what he’d do with the money, and would likely just start another social networking site anyways.

Given his vision for Facebook and an obvious passion for connecting people, it’s not surprising to learn that over the next 10 years, Zuckerberg plans to execute just as ambitiously.

Facebook’s Masterplan

Today’s infographic comes from Futurism, and it details Facebook’s masterplan to potentially make the company a $1 trillion colossus. It’s worth noting that Facebook is technically already about one year into the 10-year plan, and that the infographic has been updated to include the latest developments in the company as of 2017.

Here are the ambitious plans that the company hopes to bring to a reality:

  • Use solar-powered drones to beam internet access to Earth.
  • Build hardware that will boost internet connectivity in dense urban areas.
  • Launch a satellite to help provide internet access to Africa.
  • Enable artificial intelligence to learn about content. (ie. what a video or image is all about.)
  • Train neural networks through Facebook’s open source Torch system.
  • Build VR/AR headsets that look like a normal pair of glasses.
  • Work on new social experiences using virtual reality as a social platform.
  • Continued development of the Brain-Computer interface project to allow users to “type” with their thoughts.

The latter of these plans was just announced just last week, and it involves a team of 60 engineers working to find a way to translate your thoughts into Facebook updates.

Using non-invasive optical imaging to scan your brain a hundred times per second, eventually the goal is to allow people to “type” at 100 words per minute, a 5x increase over normal phone typing speeds.

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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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