This is known as the automation paradox: the skills you automate, you lose. So the more we depend on machines to think for us, the less good we become at thinking for ourselves. The fewer decisions we make, the less good we become at making them. We risk falling into a trap: more need for certainty, more dependency on technology, less skill, more n

Many of the most inspiring people and stories start with uncertainty, are saturated with doubt, yet arrive triumphant at places in life they could not see when they set out. Their successes are deeply human, derived from curiosity, imagination, and not a little bravery. They were prepared to navigate the unknown in pursuit of the ill-defined becaus

As digital devices pervade our lives, it becomes easier to solve the so-called problem of human complexity by force-fitting a predetermined model onto human life.

We can imagine what we’ve never seen before—if we practice.

Accepting that the future is unknowable is where action begins. Experiments are ideal for complex environments because they yield clues about where you are; they are the best thing to do when you can’t see where to start.

We’re so dazzled by such systems, we forget, or prefer to deny, that contingencies have multiplied, fragility has proliferated, and accurate prediction has become harder.

If companies once expected perfect data to make consumers perfectly predictable, the fundamental uncertainty of life has deprived them of that prize. We aren’t machines—but that hasn’t stopped tech companies from trying to turn us into them.

Overwhelmed by complexity, we seek simplification and too quickly reach for binary perspectives, just at the moment when we need broader ones.

creativity of human interaction has never been more critical. We have a huge capacity for invention—if we use it. We have limitless talent for questions and exploration—if we develop it.