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Visualizing the Rise of Co-Working Spaces

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Visualizing the Rise of Co-Working Spaces

Visualizing the Rise of Co-Working Spaces

In the modern era, people can work from anywhere and everywhere.

Thanks to the cloud, wireless protocols, and collaboration software, it’s possible for workers to be productive from a nearby coffee shop, another town, or a different country entirely.

While this unprecedented freedom allows us to work further apart, it’s simultaneously enabled a new business model that brings people together. The rise of co-working spaces – led by companies like WeWork – is already a multi-billion dollar industry, and a growing mainstay of startup culture.

Co-Working Together

Today’s infographic comes to us from Raconteur, and it shows why companies – and especially fast-growing startups – are increasingly gravitating towards co-working spaces.

The co-working industry offers something to startups that traditional solutions cannot, which is the ability for office space to scale with the company’s growth both seamlessly and flawlessly. Further, by covering all the essentials, from working wireless internet to an unlimited supply of coffee, this new model allows startups to focus on what matters, such as achieving product-market fit or the latest pivot.

The industry is expected to grow at a 12% CAGR over the next five years, and there’s even talk that segment-leading WeWork will be raising money at a $35 billion valuation.

Beyond the Value Prop

The prospect of “Space-as-a-Service” is certainly a compelling one for fast-growing startups, but what other valid reasons factor into the momentum behind co-working spaces?

According to co-workers themselves, here are the ten highest-ranking benefits of the model:

  1. Social and enjoyable atmosphere (59%)
  2. Interaction with others (56%)
  3. Community (55%)
  4. Close distance to my home (51%)
  5. Like-minded people (47%)
  6. Good value for money (41%)
  7. Good transport connections nearby (41%)
  8. Basic office infrastructure (38%)
  9. Knowledge-sharing (35%)
  10. Big open workspace (34%)

All in all, the value added by co-working spaces seems to be very real for the companies that call these shared spaces home.

As a result, it will be no surprise to learn that the global co-working industry is expected to expand to 30,432 spaces and 5.1 million members by 2022.

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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.

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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.

DepartmentLarge impact (%)Small impact (%)No impact (%)
IT73261
Finance70219
Customer Sales671617
Operations651817
HR57412
Marketing56413
Legal46504
Supply Chain431839

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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