Technology
Visualizing the Top U.S. States for AI Jobs
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.
Rank | State | Number of job postings | % of total |
---|---|---|---|
1 | California | 142,154 | 17.9% |
2 | Texas | 66,624 | 8.4% |
3 | New York | 43,899 | 5.5% |
4 | Massachusetts | 34,603 | 4.3% |
5 | Virginia | 34,221 | 4.3% |
6 | Florida | 33,585 | 4.2% |
7 | Illinois | 31,569 | 4.0% |
8 | Washington | 31,284 | 3.9% |
9 | Georgia | 26,620 | 3.3% |
10 | Michigan | 25,366 | 3.2% |
11 | North Carolina | 23,854 | 3.0% |
12 | New Jersey | 23,447 | 2.9% |
13 | Colorado | 20,421 | 2.6% |
14 | Pennsylvania | 20,397 | 2.6% |
15 | Arizona | 19,514 | 2.5% |
16 | Ohio | 19,208 | 2.4% |
17 | Maryland | 16,769 | 2.1% |
18 | Minnesota | 11,808 | 1.5% |
19 | Tennessee | 11,173 | 1.4% |
20 | Missouri | 10,990 | 1.4% |
21 | Oregon | 10,811 | 1.4% |
22 | Washington, D.C. | 9,606 | 1.2% |
23 | Indiana | 9,247 | 1.2% |
24 | Connecticut | 8,960 | 1.1% |
25 | Wisconsin | 8,879 | 1.1% |
26 | Alabama | 7,866 | 1.0% |
27 | Kansas | 7,683 | 1.0% |
28 | Arkansas | 7,247 | 0.9% |
29 | Utah | 6,885 | 0.9% |
30 | Nevada | 6,813 | 0.9% |
31 | Idaho | 6,109 | 0.8% |
32 | Oklahoma | 5,719 | 0.7% |
33 | Iowa | 5,670 | 0.7% |
34 | South Carolina | 4,928 | 0.6% |
35 | Louisiana | 4,806 | 0.6% |
36 | Kentucky | 4,536 | 0.6% |
37 | Nebraska | 4,032 | 0.5% |
38 | Delaware | 3,503 | 0.4% |
39 | New Mexico | 3,357 | 0.4% |
40 | Rhode Island | 2,965 | 0.4% |
41 | New Hampshire | 2,719 | 0.3% |
42 | Hawaii | 2,550 | 0.3% |
43 | Mississippi | 2,548 | 0.3% |
44 | Maine | 2,227 | 0.3% |
45 | South Dakota | 2,195 | 0.3% |
46 | Vermont | 1,571 | 0.2% |
47 | North Dakota | 1,227 | 0.2% |
48 | Alaska | 970 | 0.1% |
49 | West Virginia | 887 | 0.1% |
50 | Montana | 833 | 0.1% |
51 | Wyoming | 769 | 0.1% |
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.
Skill | Frequency (number of postings) | Frequency (% of postings) |
---|---|---|
Python | 296,662 | 37% |
Computer Science | 260,333 | 33% |
SQL | 185,807 | 23% |
Data Analysis | 159,801 | 20% |
Data Science | 157,855 | 20% |
Amazon Web Services | 155,615 | 19% |
Agile Methodology | 152,965 | 19% |
Automation | 138,791 | 17% |
Java | 133,856 | 17% |
Software Engineering | 133,286 | 17% |
If you’re interested in a career that focuses on AI, becoming proficient in Python is likely to be a good first step.
Technology
Ranked: America’s Largest Semiconductor Companies
This graphic visualizes the market capitalizations of America’s 15 largest semiconductor companies.

Ranking America’s Largest Semiconductor Companies
As our world moves further into an era of widespread digitization, few industries can be considered as important as semiconductors.
These components are found in almost everything we use on a daily basis, and the ability to produce them domestically has become a topic of national security. For example, in 2022 the Biden administration announced the CHIPS and Science Act, which aims to strengthen America’s position in everything from clean energy to artificial intelligence.
With this in mind, we’ve ranked the top 15 U.S. semiconductor companies by their market capitalizations.
Data and Highlights
The data we used to create this infographic is listed in the table below. Year-to-date (YTD) returns were included for additional context. Both metrics are as of May 30, 2023.
Rank | Company | Ticker | Market Cap (USD billions) | YTD Return |
---|---|---|---|---|
1 | Nvidia | NVDA | $992 | 180.2% |
2 | Broadcom | AVGO | $335 | 45.1% |
3 | AMD | AMD | $202 | 95.7% |
4 | Texas Instruments | TXN | $160 | 8.2% |
5 | Qualcomm | QCOM | $129 | 8.2% |
6 | Intel | INTC | $125 | 12.2% |
7 | Applied Materials | AMAT | $115 | 41.2% |
8 | Analog Devices | ADI | $89 | 9.2% |
9 | Lam Research | LRCX | $85 | 52.1% |
10 | Micron Technology | MU | $78 | 42.3% |
11 | Snyopsys | SNPS | $71 | 45.4% |
12 | KLA | KLAC | $63 | 21.8% |
13 | Marvell Technology Group | MRVL | $54 | 76.2% |
14 | Microchip Technology | MCHP | $42 | 11.2% |
15 | ON Semiconductor | ON | $36 | 36.3% |
At the top is Nvidia, which became America’s newest $1 trillion company on Tuesday, May 30th. Shares pulled back slightly over the day and Nvidia closed at $992 billion. Over the past decade, Nvidia has transformed from a gaming-focused graphics card producer to a global leader in AI and data center chips.
In third and sixth place are two of America’s most well known chipmakers, AMD and Intel. These longtime rivals are moving in opposite trajectories, with AMD shares climbing 770% over the past five years, and Intel shares falling 47%. One reason for this is the data center segment, in which AMD appears to be stealing market share from Intel.
Further down the list we see Applied Materials in seventh, and Lam Research in ninth. Both firms specialize in semiconductor manufacturing equipment and thus play an important role in the industry’s supply chain.
Trade War Impacts
As tensions between the U.S. and China escalate, chipmakers are becoming increasingly entangled in geopolitical conflict.
In October 2022, the Biden administration introduced new export controls aimed at blocking China’s access to semiconductors produced with U.S. equipment. This impacted several companies in our top 15 list, including Lam Research and Applied Materials.
Shortly after the export controls were announced, Lam Research said it expected to lose upwards of $2.5 billion in annual revenues.
We lost some very profitable customers in the China region, and that’s going to persist, obviously.
– Doug Bettinger, CFO, Lam Research
In response, China announced in May 2023 that it would no longer allow America’s largest memory chipmaker, Micron, to sell its products to “critical national infrastructure operators”.
This is not the first time Micron has been involved in a controversy with China. In 2018, the firm alleged that Fujian Jinhua Integrated Circuit, a Chinese state-owned company, had solicited a Micron employee to steal specifications for memory chips. The U.S. Department of Commerce imposed export restrictions on Fujian Jinhua as a result.
Chipmakers on both sides of the Pacific will be closely watching as competition between these two countries heats up.
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