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The Global Fiber Optic Network Explained

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The Global Fiber Optic Network Explained

As we scroll through Instagram or cue up another episode on Netflix, most of us give little thought to the hidden network of fiber optic cables that instantaneously shuttle information around the globe.

This extensive network of cables – which could stretch around the Equator 30 times – is the connective tissue that binds the internet, and thanks to our insatiable appetite for video streaming, it’s growing larger with every passing year.

Today’s video, by TED-Ed, explains how fiber optic cables work and introduces the next generation of cables that could drastically increase the speed of data transmission.

A Series of Tubes

The late Senator Ted Stevens drew laughter for describing the internet as a “series of tubes” in 2006, but as it turns out, most of the information moving around the world does, in fact, travel through a series of tubes. Undersea fiber optic tubes, to be exact.

The way this system functions is deceptively simple. Light, which is beamed into a fiber optic cable at a shallow angle, ricochets its way along the tube at close to light speed until being converted back into an electrical signal at its destination – generally a data center. To increase bandwidth further, some cables are able to carry multiple wavelengths concurrently.

Impressively, this simple method of bouncing light through a tube is what moves 99% of the world’s digital information.

The Glass Superhighway

Since the first undersea fiber optic cable, TAT-8, was constructed by a consortium of companies in 1988, the number of cables snaking across the ocean floor has risen dramatically. In fact, over 100 new cables will have been laid between 2016 and 2020, with a value of nearly $14 billion.

global fiber optic subsea cable projects

Increasing bandwidth requirements have transformed content providers from customers to cable owners. As a result, tech giants like Google and Facebook are taking a more active role in the expansion of the global fiber optic network. Google alone has at least five cable projects set for completion in 2019.

The Last Mile

Much like Amazon struggles with the “last mile” of deliveries, the transmission of digital information is much less efficient at the data center level, where servers are connected by traditional electric cables. These short-range cables are far less efficient than their fiber optic counterparts, losing half their running power as heat.

If this inefficient use of energy isn’t solved, internet-related activity could comprise a fifth of the world’s power consumption by 2030.

Thankfully, a related technology – integrated photonics – could keep the high-definition videos of the future streaming. Although the silicon wires used in integrated photonics do not guide light as effectively as fiber optics, the ultra-thin wires are far more compact. Photonic chips paired with burgeoning terahertz (THz) wireless communications could eventually form the backbone of a 6G network. Short-range THz signals would hitch a ride on silicon wires via tiny photonic chips scattered around population centers.

Before this efficient, high-capacity future is realized, researchers must first solve the puzzle of manufacturing photonic devices at scale. Once this method of data transmission hits the mainstream market, it could drastically alter the course of both computing and global energy consumption.

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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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