Technology
33 Facts About Women in Technology
33 Facts About Women in Technology
Silicon Valley is known for a lot of things.
With a rich history of innovation and a healthy population of angel investors, there’s no doubt that it’s the startup capital of the world. Silicon Valley is also home to one of the craziest housing markets on earth.
However, a particularly negative association that many now have with the tech hub is with its sketchy track record with women. This lack of diversity in hiring is well-documented, and now that companies like Facebook, Uber, LinkedIn, and Snapchat are no longer bootstrapped startups, the pressure will continue to mount in addressing these concerns.
Women in Tech
Today’s infographic celebrates some of the most successful women in technology and business, while also highlighting workforce composition, female founders, and how companies can prioritize retention of women.
Here’s some of the facts we found interesting:
- Chicago is the city with the most female startup founders, with 30%. More on this here.
- The global average of startups founded by women is 20%.
- Female tech positions are growing 238% faster than their male counterparts.
- However, this is not translating to overall hiring ratios yet. Ebay is one of the more diverse companies, yet it only had 24% women on staff in 2015.
- The top venture capitalist in 2015, rated by Forbes, was Jenny Lee. She’s the Managing Partner of GGV Capital.
Original graphic by: Coupofy
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 information 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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