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Infographic: A Timeline of Future Technology

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Timeline of Future Technology

A Timeline of Future Technology

Making predictions about future technology is both fun and notoriously difficult.

However, such predictions also serve a very practical purpose for investors and business leaders, since failing to adapt to changing industry paradigms can completely decimate a business venture, turning it into the next Blockbuster, Kodak, or Sears.

Today’s infographic from Futurism rounds up some of the most interesting predictions about the future, from trusted sources such as Scientific American and The National Academy of Sciences.

Machines, Big and Small

The confluence of robotics, artificial intelligence, and increasing levels of automation is a prevailing trend throughout the projected timeline of future technology.

In less than 10 years, we will be able to control machines based on eye movements, while ingesting nano-sized robots to repair injuries from within our bodies. Later on, it’s also expected that the next wave of AI will be a reality: by 2036, predictive AI will be able to predict the near-future with impressive precision. Elections, weather, geopolitical events, and other dynamic systems will be analyzed in real-time using thousands or millions of data streams.

Even further down the line, human brains and machines will be continue to become closer to interfacing directly, creating all kinds of possibilities.

The Energy Revolution Continues

If you think the current progress in clean energy is exciting – wait until you see the technologies in the queue.

The future of battery technology will include carbon-breathing batteries that turn CO2 into generate electricity, as well as diamond-based “nuclear batteries” that run off of nuclear waste.

Meanwhile, solar power will be even cheaper as cells operate at near 100% efficiency, and commercial fusion power will be available by 2044. Climate change will also be tackled by interesting techniques, such as geoengineering with calcite aerosols, and carbon sequestration.

More on Future Technology

Want to see more bold predictions about the future of technology?

Check out the future of alternative energy, the military, or the futuristic tech that could be inside your home.

Lastly, check out some very speculative predictions about what the world could look like, 100 years from now.

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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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