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Tech Timeline: How We Got to the iPhone Era

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Important note: click below image to expand to full screen for a more readable size.

Tech Timeline: How We Got to the iPhone Era

Tech Timeline: How We Got to the iPhone Era

Important note: click the image above to expand to full screen for a more readable size.

The iPhone is iconic as the culmination of all modern technology and engineering in one instrument. Although taken for granted sometimes, all smartphones are incredible and sophisticated devices consisting of many different and unique parts. Not only do they facilitate modern communication, but they have powerful computation ability, GPS, gyroscopes, interactive touchscreens, multiple cameras, and impressive battery lives.

All these very different technologies have different paths of how they came to be, and this infographic explains how we got to this iPhone Era of technology history. Over centuries mathematicians, chemists, engineers, and other scientists have devoted their entire lives to move incrementally in their field towards today’s tech.

Not for the faint of heart, everything here is tracked all the way back to ancient times.

Original graphic from: Quartsoft

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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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