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Facebook’s Volatile Year in One Giant Chart

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Facebook's Volatile Year Explained in One Chart

Facebook’s Volatile Year in One Giant Chart

View the high resolution version of today’s graphic by clicking here.

Facebook has found itself in the headlines a lot in 2018, but not for reasons investors are likely to be excited about.

The tech giant battled privacy scandals, policy changes, and dwindling user engagement throughout the year, and in July the company made history with an overnight drop of $119 billion in market capitalization – the single largest drop in U.S. history.

We did today’s chart in conjunction with Extraordinary Future 2018, a tech conference featuring Cambridge Analytica whistleblower Christopher Wylie as a speaker on Sep 19-20 in Vancouver, BC, to show Facebook’s volatile year in perspective.

Here is a recap of some of the more major events that prompted volatility so far in 2018:

Zuckerberg Sells Shares

Facebook CEO Mark Zuckerberg drew attention in September 2017 when he announced plans to systematically sell off up to $12 billion in stock – nearly 50% of his personal stake.

It’s all part of a plan to transfer the bulk of his stake to the Chan-Zuckerberg Initiative. Zuckerberg and his wife Priscilla Chan founded the philanthropic company at the end of 2015 with the stated focus of “personalized learning, curing disease, connecting people and building strong communities.”

Zuckerberg started unloading stock with an initial sale of 1.14 million shares in February 2018 – the biggest insider sale of shares of any public company in the preceding three months. While analysts didn’t see any red flags for the sale at the time, the volume came when the share price needed all the stability it could get.

Facebook’s Privacy Scandal

On March 16, The Guardian and The New York Times published joint exposés reporting that 50 million Facebook user profiles were harvested by Cambridge Analytica without user knowledge. Later estimates pegged that number at closer to 87 million profiles.

Facebook soon found itself the focus of an investigation from the Federal Trade Commission, and published full-page ads in British and American newspapers to apologize for a “breach of trust”. As Facebook scrambled to regain user trust, share values dropped by 17.8% over the 10 days after the scandal broke.

In April, Zuckerberg appeared before Senate to answer tough questions about Facebook’s privacy policies. The CEO’s testimony restored some faith in the stock, and it gained some traction over the next three months, but the damage was already done.

Facebook’s History-Making Stock Drop

Facebook posted disappointing Q2 results on July 24, attributing their sluggish quarter to dropping user numbers and continued privacy challenges driven by General Data Protection Regulation (GDPR) deadlines.

The report triggered an overnight stock drop of 19% – the single biggest one-day value loss ($119 billion) in U.S. stock market history.

As a result of the rout, Zuckerberg’s personal fortune dropped by nearly $16 billion, an amount that exceeds the total market cap of companies like Dropbox or Snapchat.

Where to from here?

Is this the end for Facebook? The halo may have slipped from the social media golden child, but the company may not be in danger quite yet.

The company’s namesake social network is not the only sandbox it plays in, and the company’s diversity is just the thing that might keep Facebook afloat amidst changing social media sentiment.

Facebook’s purchases of Instagram and WhatsApp are paying off, as those platforms continue to grow steadily. Meanwhile, the investment in Oculus Go could be a game-changer for VR, bringing standalone virtual reality systems to the home market. Finally, Facebook is leveraging its main social network as a place to fine tune algorithms and pave the way for new developments in artificial intelligence and machine learning.

Despite Facebook’s challenges in the realm of social media this year, its expansion into other emerging technologies might help the company secure its future.

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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.

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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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