Technology
The 57 Startups That Became Unicorns in 2017
57 New Unicorns in 2017
Collectively, they’re now worth $116.5B
The Chart of the Week is a weekly Visual Capitalist feature on Fridays.
For a startup, reaching the coveted $1 billion unicorn valuation is an important milestone – but as we’ve found out in recent years, it’s not necessarily a guarantee of future success.
In 2017, there were 57 startups that crossed the unicorn threshold, and they range from well-known companies, such as Reddit or Quora, to rapid-risers like China’s Toutiao (now valued at $20 billion), which has seemingly come out of nowhere.
Investors have conviction that these companies will provide the platforms and products of the future, and they are placing big bets on them to deliver.
Will they live up to the hype, or will they ultimately end up in the unicorn graveyard?
Unicorn Births by Year
With 57 new unicorns, this year ranks third overall in terms of births per year.
Year | # of Unicorns | Notable Unicorn Birth |
---|---|---|
2009 | 5 | BloomEnergy |
2010 | 6 | Groupon |
2011 | 15 | Airbnb |
2012 | 13 | |
2013 | 20 | Uber |
2014 | 62 | Slack |
2015 | 81 | Vox Media |
2016 | 43 | Compass |
2017 | 57 |
While 57 unicorns in 2017 is still a high number, it’s also clear that the froth has died down from the unicorn bonanza that occurred in 2015.
Venture capitalists have clearly dialed it down a notch, re-focusing on the selective quality of investments rather than the overall quantity of big bets.
Notable Unicorns in 2017
Based on data from PitchBook, we’ve included the full list of unicorns in the chart today.
However, here are some that caught our eye:
Toutiao (China)
Valuation: $20 billion
Founded in 2012, Toutiao is the behemoth on this year’s new unicorn list. Based in Beijing, Toutiao is a news and information platform that focuses on recommendations using AI technology. The company pushes content to users based on previous user interactions as well as the detailed analysis of new content. The platform has 120 million active users and has also gone on a recent buying spree, acquiring names like Flipagram and Musical.ly.
Coinbase (United States)
Valuation: $1.6 billion
The cryptocurrency sector is exploding with growth, and Coinbase has been along for the ride since 2012. The most important crypto platform in the U.S. has such a strong influence in the sector, that the “Coinbase Effect” is now a talking point for traders everywhere. Whenever Coinbase introduces a cryptocurrency to its base of 10 million users, the added visibility and liquidity can make the price go bananas. It’s happened with Litecoin and Bitcoin Cash so far, and now every move by Coinbase is closely tracked by crypto power users and influencers.
Alisports (China)
Valuation: $1.0 billion
Alibaba’s foray into sports isn’t going unnoticed. In conjunction with Sina Corp (a Chinese telecom) and Yunfeng Capital Co (venture capital), Alibaba hopes that Alisports will carve out a huge chunk of the RMB 5 Trillion Chinese sports market. It’s also worth noting that Alisports sees e-sports as having huge potential, and as a central piece of its platform.
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.

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.
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