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Every 10 Seconds, the World’s Tech Giants Make This Much Money…

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There is no question that the most profound factor affecting modern life is the ability to replicate and store data at almost no cost. This revolution in information has provided us with a wealth of benefits and possibilities for an incredibly low marginal price.

At zero cost, we can connect to a global store of all human knowledge. New apps with impressive features can cost less than a dollar, and our monthly Netflix subscriptions hardly register on our credit card statements. Meanwhile, we share our thoughts about the world with our friends and family at no cost through social networks, email, or other means of communications. This hasn’t been possible throughout human existence, and it is only feasible now because of the incredible scale of the internet.

While we all make the connection that these individual activities help to bring in revenue to the world’s tech giants, the ultimate size and scale of the numbers in aggregate are almost incomprehensible to the human brain.

How many Google searches do you make each day? What about your neighborhood, city, or country? How about the world?

Today’s two visualizations look at the sheer amounts of data processed every 10 seconds by the world’s tech giants, as well as the amount of impressive profit yielded.

How much data is processed every 10 seconds?

The data used in 10 seconds by Internet giants

In just 10 seconds, close to 225,000 GB of data is transferred, with over 500,000 posts on Facebook, 57,000 tweets, 46,000 searches on Google, and 2 million messages sent on WhatsApp.

While each click or view may only translate to pennies for the world’s tech giants, in aggregate it amounts to so much more:

How much profit is made every 10 seconds?

The money made in 10 seconds by Internet giants

The numbers are astounding, and hopefully help to create perspective on the scale of technology and business.

Want to see this spectacle in real-time? Go to this website.

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AI

Visualizing the Top U.S. States for AI Jobs

Nearly 800,000 AI jobs were posted in the U.S. throughout 2022. View this graphic to see a breakdown by state.

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Visualizing the Top U.S. States for AI Jobs

Much ink has been spilled over fears that artificial intelligence (AI) will eliminate jobs in the economy. While some of those fears may be well-founded, red-hot interest in AI innovation is creating new jobs as well.

This graphic visualizes data from Lightcast, a labor market analytics firm, which shows how many AI-related jobs were posted in each state throughout 2022.

In total there were 795,624 AI jobs posted throughout the year, of which 469,925 (59%) were in the top 10. The full tally is included in the table below.

RankStateNumber of job postings% of total
1California142,15417.9%
2Texas66,6248.4%
3New York43,8995.5%
4Massachusetts34,6034.3%
5Virginia34,2214.3%
6Florida33,5854.2%
7Illinois31,5694.0%
8Washington31,2843.9%
9Georgia26,6203.3%
10Michigan25,3663.2%
11North Carolina23,8543.0%
12New Jersey23,4472.9%
13Colorado20,4212.6%
14Pennsylvania20,3972.6%
15Arizona19,5142.5%
16Ohio19,2082.4%
17Maryland16,7692.1%
18Minnesota11,8081.5%
19Tennessee11,1731.4%
20Missouri10,9901.4%
21Oregon10,8111.4%
22Washington, D.C.9,6061.2%
23Indiana9,2471.2%
24Connecticut8,9601.1%
25Wisconsin8,8791.1%
26Alabama7,8661.0%
27Kansas7,6831.0%
28Arkansas7,2470.9%
29Utah6,8850.9%
30Nevada6,8130.9%
31Idaho6,1090.8%
32Oklahoma5,7190.7%
33Iowa5,6700.7%
34South Carolina4,9280.6%
35Louisiana4,8060.6%
36Kentucky4,5360.6%
37Nebraska4,0320.5%
38Delaware3,5030.4%
39New Mexico3,3570.4%
40Rhode Island2,9650.4%
41New Hampshire2,7190.3%
42Hawaii2,5500.3%
43Mississippi2,5480.3%
44Maine2,2270.3%
45South Dakota2,1950.3%
46Vermont1,5710.2%
47North Dakota1,2270.2%
48Alaska9700.1%
49West Virginia8870.1%
50Montana8330.1%
51Wyoming7690.1%

The following chart adds some context to these numbers. It shows how the percentage of AI job postings in some of the top states has changed since 2010.

We can see that California quickly became the primary destination for AI jobs in the early 2010s, presumably as Silicon Valley companies began developing the technology.

California’s share has since declined, with a significant number of jobs seemingly moving to Texas. In fact, many tech companies are relocating to Texas to avoid California’s relatively higher taxes and cost of living.

The 10 Most In-Demand Specialized Skills

Lightcast also captured the top 10 specialized skills that were required for AI-related jobs. These are listed in the table below.

SkillFrequency (number of postings)Frequency (% of postings)
Python296,66237%
Computer Science260,33333%
SQL185,80723%
Data Analysis159,80120%
Data Science157,85520%
Amazon Web Services155,61519%
Agile Methodology152,96519%
Automation138,79117%
Java133,85617%
Software Engineering133,28617%

If you’re interested in a career that focuses on AI, becoming proficient in Python is likely to be a good first step.

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