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How Jeff Bezos Built his Amazon Empire

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On Friday afternoon, Amazon CEO Jeff Bezos briefly passed Warren Buffett to become the world’s third-richest person. Amazon shares have been up 54% since February, propping up his net worth to an impressive $65 billion.

How Jeff Bezos Built his Amazon Empire

Today’s infographic is from Funders and Founders, and it visualizes the career of Jeff Bezos in creating his “Everything Store”.

Jeff Bezos Infographic

Image courtesy of: Funders and Founders

While Bezos was ahead of Buffett by about $300 million on Friday afternoon, Amazon’s share price later dipped at the close to erase the lead.

This likely isn’t the last time that a rising Bezos will be biting at the heels of Bill Gates ($88.7B), Amancio Ortega ($73.5B), and Warren Buffett ($65.1B).

How Did Bezos Do It?

“We are willing to be misunderstood for long periods of time.” – Jeff Bezos

Perhaps the most enthralling element of the Jeff Bezos story is his resolute commitment to executing a long-term vision, all while the rest of the world could not comprehend it.

The company ran 20 years without showing signs of significant profit, and it was regularly criticized in the media. Pundits saw Amazon as a growing online book store that couldn’t make money. They didn’t get the bigger picture.

And while the world debated Amazon’s aggressive expansion and polarizing nature, Bezos and his team stayed focused on execution. Even if people didn’t see the vision for the “everything store”, it didn’t mean that Amazon couldn’t build it.

They were willing to be misunderstood for a long time in order to follow the vision – one that was written down by Bezos in a famous napkin sketch:

Amazon napkin

Image courtesy of: Amazon

Note that in this sketch, which is now over 15 years old, that there is no “take profits” offshoot. It’s a closed loop that uses free cash flow to reinvest back into the established business plan of providing low cost leadership.

And now that Amazon has executed on this plan successfully, it is finally time for profits. That’s why the company had a record quarter earlier this year, and why analysts expect Q2 to be just as impressive.

Watch out Warren, because Bezos isn’t done yet.

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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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