We can accomplish anything we set our minds on. But how do you decide what you want to do?

AI and other technologies are increasingly driving down costs, yet we often find ourselves actually doing less. Our time is increasingly spent on the planning stage.

Consider the Department of Defense: the pentagon has a nearly $1 trillion budget, yet it is still constrained by trade-offs: a base here, or there? A new jet, but what missions should it be designed for? How should the defense posture of this country look in 5 years? By the time the hordes of analysts have decided what to do, the work could've been done already

Another example is the process of building housing. The community must decide whether it wants the housing to be built; this process can take months of community outreach and meetings. The city must review the plans and be assured that any environmental impact is accounted for, which the builders must study. By the time the architects refine the plans, and the holes are ready to be dug, most of the work is already done – this was the work deciding whether or not to do it in the first place.

Consider congestion pricing in New York City. The political machinations and analysis took years: the budget meetings, the alternatives suggested. One impact assessment took 16 months to complete.

"Our time is increasingly spent on the planning stage."

Many people wish for a world of machines that wait at our command. The last job for humanity, then, is deciding what those commands ought to be. Our mission as a company is to make those decisions – those studies and analyses – as correct, persuasive, and efficient as possible.