Ajay Agrawal, Joshua Gans, and Avi Goldfarb

Data is the fuel for prediction machines.

The most effective use of AI is to complement human decision-making.

In a world where data is abundant, the value of insight becomes paramount.

In a world of uncertainty, predictions provide a framework for action.

The key to understanding the impact of artificial intelligence is to view it as a prediction technology.

Business models will need to adapt to the capabilities of prediction machines.

The key to understanding AI is to understand that it makes predictions.

Automation will change the nature of work, but it won't eliminate it.

As predictions improve, the focus should shift from the predictions themselves to their implications.

As prediction becomes cheaper, the value of human judgment increases.