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Bitcoin is Finally Becoming an “Everyday Use” Currency

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Bitcoin is Finally Becoming an 'Everyday Use' Currency

Bitcoin is Finally Becoming an “Everyday Use” Currency

Over the last few years, Bitcoin has gained a reputation as an investment commodity. It has been toted as a method to preserve wealth and to hedge against currency devaluation as bitcoins cannot be “printed”.

This reputation still holds true today. With Greece’s economy on the rocks and the unfolding aftermath of a “no” decision, the bitcoin price has skyrocketed by around 20% in the last month. While Greeks are having difficulties buying the cryptocurrency due to capital controls, Coinbase has reported that buys across Europe have increased 300% as others observe what is happening in Greece.

However, recent transaction data also shows that more bitcoins are being spent on “everyday use” items. Bitpay, which facilitates retail transactions using bitcoins, reports that the number of transactions has increased from 209,420 to 563,568 (from 2013 to 2014). Interestingly, the average order amount decreased substantially from $513 to $281 per order as more people bought more everyday items.

What are people buying with bitcoins? It turns out the list is pretty boring: bedroom sheets, headphones, area rugs, mattresses, coffee tables, sunglasses, and donations to non-profits all help round out the top ten items bought on Overstock.com. With the cryptocurrency becoming more ubiquitous as shown by reaching the 100k daily transaction mark (not including popular addresses) this year, it is being used more and more for regular ecommerce purchases.

As we’ve previously shown with technology hype cycles, it takes some time for new innovations to develop the infrastructure to reach their hyped potential. There is evidence that shows that cryptocurrencies and Bitcoin are along this path. Even though they are primed to change the world and spur even more innovation, the world has not yet been ready. It seems to be getting closer, though.

Original graphic by: Coupofy

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Visualizing AI Patents by Country

See which countries have been granted the most AI patents each year, from 2012 to 2022.

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Visualizing AI Patents by Country

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.

This infographic shows the number of AI-related patents granted each year from 2010 to 2022 (latest data available). These figures come from the Center for Security and Emerging Technology (CSET), accessed via Stanford University’s 2024 AI Index Report.

From this data, we can see that China first overtook the U.S. in 2013. Since then, the country has seen enormous growth in the number of AI patents granted each year.

YearChinaEU and UKU.S.RoWGlobal Total
20103071379845711,999
20115161299805812,206
20129261129506602,648
20131,035919706272,723
20141,278971,0786673,120
20151,7211101,1355393,505
20161,6211281,2987143,761
20172,4281441,4891,0755,136
20184,7411551,6741,5748,144
20199,5303223,2112,72015,783
202013,0714065,4414,45523,373
202121,9076238,2197,51938,268
202235,3151,17312,07713,69962,264

In 2022, China was granted more patents than every other country combined.

While this suggests that the country is very active in researching the field of artificial intelligence, it doesn’t necessarily mean that China is the farthest in terms of capability.

Key Facts About AI Patents

According to CSET, AI patents relate to mathematical relationships and algorithms, which are considered abstract ideas under patent law. They can also have different meaning, depending on where they are filed.

In the U.S., AI patenting is concentrated amongst large companies including IBM, Microsoft, and Google. On the other hand, AI patenting in China is more distributed across government organizations, universities, and tech firms (e.g. Tencent).

In terms of focus area, China’s patents are typically related to computer vision, a field of AI that enables computers and systems to interpret visual data and inputs. Meanwhile America’s efforts are more evenly distributed across research fields.

Learn More About AI From Visual Capitalist

If you want to see more data visualizations on artificial intelligence, check out this graphic that shows which job departments will be impacted by AI the most.

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