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Visualizing the Diversity of the Tech Industry

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Visualizing the Diversity of the Tech Industry

Visualizing the Diversity of the Tech Industry

With the recent leak of the “Google Manifesto” and the maelstrom of media backlash that followed, it seems that concerns around diversity in the technology industry have finally reached a boiling point.

Today’s infographic from Information is Beautiful breaks down the demographics of 23 major tech companies, based on statistics from 2016. It also provides comparisons to the composition of the U.S. population in general, the top 50 U.S. companies, Congress, and Fortune 500 CEOs.

Which Companies Employ the Most Women?

With just a focus on the major companies on this list, here is a breakdown that shows which companies employ the most women:

RankTech Company% of Females
#1Pandora48%
#2Groupon47%
#3Indiegogo45%
#4Pinterest44%
#5eBay43%
U.S. Population Avg.50%

The above list already illustrates why diversity is such a concern for many observers of the industry: even the companies with the most women on their rosters have proportions lower than U.S. population average of 50%.

In contrast, here are the companies on the list that employ the fewest women, as a proportion of their workforce:

RankTech Company% of Females
#18 (t)Salesforce30%
#18 (t)Youtube30%
#18 (t)Dell30%
#21Microsoft26%
#22Intel25%
#23Nvidia16%

Google, which is at the center of debate right now, did not make the list of the companies with the fewest women – but it’s not far off with a workforce comprised of 31% women.

What’s Changed in the Last 12 Months?

According to Information is Beautiful, here is what has changed in the last 12 months as of their last update (April 2017):

  • Facebook, Apple, eBay, and Microsoft all had their ratio of women increase by 1%.
  • LinkedIn had their ratio of women increase by 3%.
  • Google’s gender ratio stayed the same.
  • Microsoft increased the ratio of non-white employees by 3%, and Facebook by 2%.
  • Google, Apple, and eBay increased ratio of non-white employees by 1%.
  • LinkedIn lost 3% of its non-white employees.
  • Asian staff accounted for the majority of increases in ethnic diversity, while the ratio of Hispanic employees remained static.

To get an even better sense of the data, we recommend visiting the interactive version of Information is Beautiful’s graphic, which shows numbers for 2014 and 2015 as well.

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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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