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Trends in Global Trade for 2015

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Trends in Global Trade for 2015

Trends in Global Trade for 2015

Mobile e-commerce and payment solutions have been in the trough of disillusionment for awhile now, at least within the context of technology hype. However, in the above infographic which covers global trade trends going into 2015, it is becoming clear that such solutions are finally coming into their own.

Currently mobile commerce sales are worth $133 billion, but by 2018 this will quadruple to $626 billion. Only 34% of consumers have bought online through their smartphone, and this is poised to continue to increase significantly.

Previously this year, we talked about the potential of bitcoin and other cryptocurrencies to disrupt the payment space. “Bitcoin is the opposite of PayPal, in the sense that it actually succeeded in creating a currency” says Peter Thiel, the established venture capitalist and a previous founder of Paypal. However, with the introduction of Apple Pay and ongoing development of CurrentC, the landscape looks more competitive than ever.

Opening graphic from: Suntrust

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AI

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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