Numbers that make
you say “WOW.”
What happens when AI becomes hundreds of times cheaper? When biology becomes searchable? When millions of robots are already at work? The figures are real research snapshots. The opportunities are what we make of them.
Seventeen ways
the future got bigger.
Read the headline. Feel the scale. Then explore the source, the limits and why it might matter to your work and your life.
From $20 to seven cents.
A comparable level of AI capability became dramatically less expensive in under two years.
The cost of reading a human genome collapsed.
The production cost fell from roughly $95 million in 2001 to about $500 by 2022.
Two hundred million protein shapes to explore.
Researchers can search a vast database of protein structure predictions.
An AI system imagined 2.2 million crystal structures.
A model proposed millions of possible inorganic crystals for scientists to investigate.
More than half a million factory robots arrived in a year.
Industrial robots were installed worldwide in 2024—more than twice the annual number a decade earlier.
There are millions of robots already at work.
The global operational stock of industrial robots reached roughly 4.66 million in 2024.
Grid-scale batteries became dramatically cheaper.
The average fully installed utility-scale battery project cost fell from about $2,571 to $192 per kWh between 2010 and 2024.
The digital world may need twice as much data-center electricity.
The IEA projects roughly 950 TWh in 2030, compared with an estimated 485 TWh in 2025.
Over twenty million electric cars sold in one year.
Global electric car sales exceeded twenty million vehicles in 2025.
Six billion people were connected to the internet.
The ITU estimated approximately six billion internet users in 2025.
And 2.2 billion people were still offline.
Even with record global connectivity, roughly 2.2 billion people remained offline in 2025.
AI-related patents grew from thousands to over 120,000.
Stanford’s 2025 AI Index reports 122,511 AI patents granted in 2023, versus 3,833 in 2010.
The biggest AI training runs multiplied rapidly.
A historical analysis found frontier model training compute rose roughly four-to-fivefold annually across a selected sample through May 2024.
Nearly nine in ten surveyed organizations use some AI.
In a 2025 survey, 88% of participating organizations reported using AI in at least one function.
Tens of thousands of science papers now involve AI.
The 2026 AI Index reports about 80,150 AI-supported publications in natural sciences during 2025.
A battery-storage boom measured in gigawatt-hours.
The research register reports 169 GWh of grid-scale battery additions commissioned globally in 2024.
AI science agents still have a long way to go.
A leading science agent scored 38.8% on a particular evaluation versus 83.5% for PhD experts, as summarized in the 2026 AI Index.
Why we show the sources: Some figures describe measured history, others estimates or projected scenarios. They are not all exponential, and we won't pretend a prediction has already happened. Each story links to its research context.
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