Technological revolutions rarely announce themselves.
The agricultural revolution had no press release.
The industrial revolution had no countdown.
Even the internet only became obvious in hindsight.
Artificial General Intelligence will likely arrive the same way.
There will be no moment when the world collectively agrees that AGI has appeared.
No headline. No global notification.
Instead, there will only be a moment years later when people look back and say:
That was when everything started to change.
By then, the transformation will already be underway.
And this time, we may have far less time to adapt.
The Speed of This Revolution
Technological revolutions have always accelerated.
When the steam engine entered factories in the late 18th century, it began replacing manual labor. Yet Britain did not pass its first meaningful labor protection law until 1833—almost seventy years later.
The Second Industrial Revolution moved faster. Electricity, steel, and chemical industries reshaped entire economies within decades. Germany transformed from an agrarian country into an industrial power in less than thirty years.
The internet accelerated things again.
In 1998, Google was founded.
In 2004, Facebook appeared.
In 2007, the iPhone launched.
Within little more than a decade, the internet rewired the global economy.
But even that speed now feels slow.
In November 2022, ChatGPT launched and reached hundreds of millions of users within months. Entire AI startups now reach billion-dollar valuations in less than a year. Open-source projects gather hundreds of thousands of developers within weeks.
What once took decades can now happen in months.
Researchers at METR have been measuring something called autonomous task time — how long an AI system can work on a complex task without human intervention.
In early 2024, frontier models could only handle tasks lasting a few minutes.
By 2025, that number had stretched to several hours.
That means AI systems can already complete work modules roughly equivalent to an engineer’s daily workflow.
Even more striking is the growth rate: the capability appears to be doubling roughly every seven months.
The curve has not flattened.
Which leads to an unsettling possibility:
The threshold many people are waiting for may already be behind us.
Technology Moves Faster Than Society
In 1952, London experienced one of the worst environmental disasters in modern history.
For five days, a thick layer of smog covered the city. Visibility dropped so low that bus drivers sometimes needed passengers walking ahead with flashlights.
More than 4,000 people died during those five days.
In the following months, another 8,000 deaths were linked to the disaster.
History remembers this event as the Great Smog of London.
What makes the story more troubling is that the technical solutions already existed. Cleaner fuel and better emission control technologies were available.
The problem was not technical.
It was political.
Industrial lobbying groups resisted regulation. Government agencies debated responsibility. Officials underestimated the death toll.
The Clean Air Act was not passed until 1956—four years later.
Technology problems rarely stay inside engineering.
The real questions are social:
Who decides?
Who bears the cost?
How much risk is acceptable?
History offers another example.
In 1962, the world came closest to nuclear war during the Cuban Missile Crisis.
For thirteen days, the United States and the Soviet Union stood on the edge of catastrophe.
The crisis ended without nuclear war largely because humanity had already spent two decades learning how nuclear deterrence worked.
Berlin blockades. Proxy wars. Arms races.
Over time, a fragile set of norms emerged.
But with AGI, we may not have twenty years.
Technology may be moving faster than society’s ability to build rules around it.
Power Follows Trust
When Johannes Gutenberg introduced the printing press in the 15th century, many believed it would immediately empower new voices.
It didn’t.
The first institutions to benefit from the printing press were the most established ones.
Church organizations used it to print indulgences, religious texts, and official proclamations. The technology spread through networks that already existed.
Decades later, Martin Luther published the Ninety-Five Theses.
Within weeks, the text spread across German territories.
Ironically, it traveled through the same printing infrastructure originally built by the Church.
New technology does not automatically redistribute power.
It amplifies the networks that already exist.
In times of technological disruption, one resource becomes especially valuable:
Trust.
Trust networks form slowly. But once they exist, new technology can multiply their reach almost instantly.
The Real Skill in the Age of AI
One of the deepest anxieties about AI is simple:
If skills become cheap, what remains valuable?
Programmers worry about AI writing code.
Designers worry about AI generating images.
Writers worry about AI producing text.
Many professional skills are rapidly becoming commodities.
A capability that once defined a career can quickly turn into an API.
If skills are no longer scarce, something else becomes more important.
Agency.
The creator Dan Koe once described agency in a simple way:
“Agency means whether you are the subject or the object in the sentence of your life.”
For most of our lives, we are trained to be objects.
In school, the curriculum is the subject.
In companies, managers and metrics are the subject.
We execute.
But AI is becoming a near-perfect executor.
If execution is your primary role, you are competing directly with machines on their strongest terrain.
History offers an old metaphor.
The Greek poet Archilochus once wrote:
“The fox knows many things, but the hedgehog knows one big thing.”
For much of the modern era, specialists—the hedgehogs—dominated.
But AI itself is becoming a super-hedgehog, capable of deep specialization across countless domains.
The advantage may shift back to the foxes:
People who move across fields.
People who combine ideas.
People who define problems rather than simply solve them.
In the age of AI, the rarest resource may no longer be skill.
It may be vision.
AGI will not send you a notification.
There will be no moment when the world pauses and announces that everything has changed.
But you still get to decide one thing.
In the sentence of your life—
are you the subject,
or the object?