AI isnāt failing. Itās simply revealing how we already work.
Over $40 billion has been invested in AI.
But in the latest Gallup data, 89% of leaders say it hasnāt improved productivity.
That seems to surprise people. It shouldnāt.
Because AI doesnāt change behaviour it only amplifies it.
Iāve seen teams introduce AI into already stretched environments, expecting it to create relief.
But what tends to happen is different.
More output, greater speed and even more pressure to keep up.
Less clarity - Right?
If your system is already overloaded, AI makes the overload even faster.
If decisions are unclear, you get more⦠but not better.
And if people are already reacting under pressure, you scale reactivity.
Then we call it a technology problem? But it isnāt.
The same data points somewhere else.
Where AI is working, itās not because of the tool. Itās because of how itās being led. Managers are the difference.
Not in theory but in how work actually happens on a day-to-day basis.
Because the real shift isnāt speed. Itās whether people can pause inside the speed.
Thatās the part that changes everything.
Without that pause, people donāt use AI thoughtfully.
They use it quickly and speed without clarity doesnāt create value.
It creates amplified noise.
This is something I come back to often in Anchored -
the ability to pause, even when everything is pushing you to move.
If you want to explore the full report behind this, Iāve shared it in the comments.
š¬ Are you using AI to think better⦠or just faster?
Over $40 billion has been invested in AI.
But in the latest Gallup data, 89% of leaders say it hasnāt improved productivity.
That seems to surprise people. It shouldnāt.
Because AI doesnāt change behaviour it only amplifies it.
Iāve seen teams introduce AI into already stretched environments, expecting it to create relief.
But what tends to happen is different.
More output, greater speed and even more pressure to keep up.
Less clarity - Right?
If your system is already overloaded, AI makes the overload even faster.
If decisions are unclear, you get more⦠but not better.
And if people are already reacting under pressure, you scale reactivity.
Then we call it a technology problem? But it isnāt.
The same data points somewhere else.
Where AI is working, itās not because of the tool. Itās because of how itās being led. Managers are the difference.
Not in theory but in how work actually happens on a day-to-day basis.
Because the real shift isnāt speed. Itās whether people can pause inside the speed.
Thatās the part that changes everything.
Without that pause, people donāt use AI thoughtfully.
They use it quickly and speed without clarity doesnāt create value.
It creates amplified noise.
This is something I come back to often in Anchored -
the ability to pause, even when everything is pushing you to move.
If you want to explore the full report behind this, Iāve shared it in the comments.
š¬ Are you using AI to think better⦠or just faster?