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Predictions: What Earth Will Be Like 100 Years in the Future

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Predicting the future can be a fool’s errand.

Need proof? Just look at our previous post showing a timeline of failed tech predictions by some of the biggest names in business, academia, and technology over the last two centuries.

Experts not only get it wrong – they get it embarrassingly wrong.

The Earth 100 Years in the Future

So why predict the future? Because it’s fun and it helps us critically think about how to take advantage of future investment and business opportunities.

In the case of today’s infographic from Futurism, the predictions are courtesy of a team of “futurists, architects, technological forecasters, and sociological soothsayers” that were hired by Samsung to look at what life may be like in the year 2116.

We’re happy that we’re not on the hook for any of these.

Predictions: What the Earth Will Be Like 100 Years in the Future

The full publication containing all predictions can be found here.

The types of predictions fall into three main categories:

Future Living
The report predicts that homes of the future will be be 3D-printed by swarms of drones, and that cities will take completely different shapes than what we are used to. Cities in the future will use stronger materials such as carbon nanotubes that will allow us to build skyscrapers that are unlike anything we’ve seen. On land they will be taller and stronger, but we will also be able to build cities underwater and underground, or in arcologies (architectural ecologies) that will dwarf today’s tallest structures.

Science and Research
The fusion of humans and machines will blur the lines of what is human and what is not.

(As a side note: Futurist Ray Kurzweil predicts that we have no option but to do this. He says that by 2045 “the pace of change will be so astonishingly quick that we won’t be able to keep up, unless we enhance our own intelligence by merging with the intelligent machines we are creating”.)

Medicine and Aging
In 100 years, much of healthcare will take place in our own homes. Walk-in medical capsules or pods capable of multispectral scanning will constantly assess our bodies for disease or damage.

Leisure and Travel
There will be a rise of a “nomadic and rootless” culture as private sub-orbital spaceflight blurs the lines between nations. 3D-printed homes may be folded up and moved to new locations.

Space Travel
Humans will become an multiplanetary species, using new propulsion technology to explore the solar system with manned flight.

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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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Visualizing Asia's Water Dilemma

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