Technology
How Jeff Bezos Built his Amazon Empire
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”.
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:
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.
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.
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.
Department | Large impact (%) | Small impact (%) | No impact (%) |
---|---|---|---|
IT | 73 | 26 | 1 |
Finance | 70 | 21 | 9 |
Customer Sales | 67 | 16 | 17 |
Operations | 65 | 18 | 17 |
HR | 57 | 41 | 2 |
Marketing | 56 | 41 | 3 |
Legal | 46 | 50 | 4 |
Supply Chain | 43 | 18 | 39 |
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 infogramtion 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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