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Ranked: Big Tech CEO Insider Trading During the First Half of 2021

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Ranked: Big Tech CEO Insider Trading During the First Half of 2021

Big Tech CEO Insider Trading During The First Half of 2021

When CEOs of major companies are selling their shares, investors can’t help but notice.

After all, these decisions have a direct effect on the personal wealth of these insiders, which can say plenty about their convictions with respect to the future direction of the companies they run.

Considering that Big Tech stocks are some of the most popular holdings in today’s portfolios, and are backed by a collective $5.3 trillion in institutional investment, how do the CEOs of these organizations rank by their insider selling?

CEOStockShares Sold H1 2021Value of Shares ($M)
Jeff BezosAmazon (AMZN)2.0 million$6,600
Mark ZuckerbergFacebook (FB)7.1 million$2,200
Satya NadellaMicrosoft (MSFT)278,694
$65
Sundar PichaiGoogle (GOOGL)27,000$62
Tim CookApple (AAPL)0$0

Breaking Down Insider Trading, by CEO

Let’s dive into the insider trading activity of each Big Tech CEO:

Jeff Bezos

During the first half of 2021, Jeff Bezos sold 2 million shares of Amazon worth $6.6 billion.

This activity was spread across 15 different transactions, representing an average of $440 million per transaction. Altogether, this ranks him first by CEO insider selling, by total dollar proceeds. Bezos’s time as CEO of Amazon came to an end shortly after the half way mark for the year.

Mark Zuckerberg

In second place is Mark Zuckerberg, who has been significantly busier selling than the rest.

In the first half of 2021, he unloaded 7.1 million shares of Facebook onto the open market, worth $2.2 billion. What makes these transactions interesting is the sheer quantity of them, as he sold on 136 out of 180 days. On average, that’s $12 million worth of stock sold every day.

Zuckerberg’s record year of selling in 2018 resulted in over $5 billion worth of stock sold, but over 90% of his net worth still remains in the company.

Satya Nadella

Next is Satya Nadella, who sold 278,694 shares of Microsoft, worth $234 million. Despite this, the Microsoft CEO still holds an estimated 1.6 million shares, which is the largest of any insider.

Microsoft’s stock has been on a tear for a number of years now, and belongs to an elite trillion dollar club, which consists of only six public companies.

Sundar Pichai

Fourth on the list is Sundar Pichai who has been at the helm at Google for six years now. Since the start of 2021, he’s sold 27,000 shares through nine separate transactions, worth $62.5 million. However, Pichai still has an estimated 6,407 Class A and 114,861 Class C shares.

Google is closing in on a $2 trillion valuation and is the best performing Big Tech stock, with shares rising 60% year-to-date. Their market share growth from U.S. ad revenues is a large contributing factor.

Tim Cook

Last, is Tim Cook, who just surpassed a decade as Apple CEO.

During this time, shares have rallied over 1,000% and annual sales have gone from $100 billion to $347 billion. That said, Cook has sold 0 shares of Apple during the first half of 2021. That doesn’t mean he hasn’t sold shares elsewhere, though. Cook also sits on the board of directors for Nike, and has sold $6.9 million worth of shares this year.

Measuring Insider Selling

All things equal, it’s desirable for management to have skin in the game, and be invested alongside shareholders. It can also be seen as aligning long-term interests.

A good measure of insider selling activity is in relation to the existing stake in the company. For example, selling $6.6 billion worth of shares may sound like a lot, but when there are 51.7 million Amazon shares remaining for Jeff Bezos, it actually represents a small portion and is probably not cause for panic.

If, however, executives are disclosing large transactions relative to their total stakes, it might be worth digging deeper.

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Visualizing AI Patents by Country

See which countries have been granted the most AI patents each year, from 2012 to 2022.

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Visualizing AI Patents by Country

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.

This infographic shows the number of AI-related patents granted each year from 2010 to 2022 (latest data available). These figures come from the Center for Security and Emerging Technology (CSET), accessed via Stanford University’s 2024 AI Index Report.

From this data, we can see that China first overtook the U.S. in 2013. Since then, the country has seen enormous growth in the number of AI patents granted each year.

YearChinaEU and UKU.S.RoWGlobal Total
20103071379845711,999
20115161299805812,206
20129261129506602,648
20131,035919706272,723
20141,278971,0786673,120
20151,7211101,1355393,505
20161,6211281,2987143,761
20172,4281441,4891,0755,136
20184,7411551,6741,5748,144
20199,5303223,2112,72015,783
202013,0714065,4414,45523,373
202121,9076238,2197,51938,268
202235,3151,17312,07713,69962,264

In 2022, China was granted more patents than every other country combined.

While this suggests that the country is very active in researching the field of artificial intelligence, it doesn’t necessarily mean that China is the farthest in terms of capability.

Key Facts About AI Patents

According to CSET, AI patents relate to mathematical relationships and algorithms, which are considered abstract ideas under patent law. They can also have different meaning, depending on where they are filed.

In the U.S., AI patenting is concentrated amongst large companies including IBM, Microsoft, and Google. On the other hand, AI patenting in China is more distributed across government organizations, universities, and tech firms (e.g. Tencent).

In terms of focus area, China’s patents are typically related to computer vision, a field of AI that enables computers and systems to interpret visual data and inputs. Meanwhile America’s efforts are more evenly distributed across research fields.

Learn More About AI From Visual Capitalist

If you want to see more data visualizations on artificial intelligence, check out this graphic that shows which job departments will be impacted by AI the most.

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