Specifying our investment decision-making criteria in algorithms and running historical data through them, or specifying our work principles in algorithms and using them to aid in management decision making, are just bigger and more complicated versions of that smart thermostat. They allow us to make more informed and less emotional decisions much faster than we could on our own.

I believe that people will increasingly do this and that computer coding will become as essential as writing. In time, we will use machine assistants as much for decision making as we do for information gathering today. As these machines help us, they will learn about what we are like—what we value, what our strengths and weaknesses are—and they will be able to tailor the advice they give us by automatically seeking out the help of others who are strong where we are weak. It won’t be long before our machine assistants are speaking to others’ machine assistants and collaborating in this way. In fact, that’s beginning to happen already.

Imagine a world in which you can use technology to connect to a system in which you can input the issue you’re dealing with and have exchanges about what you should do and why with the highest-rated thinkers in the world. We’ll soon be able to do this. Before too long, you will be able to tap the highest-quality thinking on nearly every issue you face and get the guidance of a computerized system that weighs different points of view. For example, you will be able to ask what lifestyle or career you should choose given what you’re like, or how to best interact with specific people based on what they’re like. These innovations will help people get out of their own heads and unlock an incredibly powerful form of collective thinking. We are doing this now and have found it way better than traditional thinking.
