Finally, and perhaps most importantly, we need to rethink how we measure and value AI contributions. The traditional metrics of time saved or costs reduced may miss the more transformative impacts of these systems - their ability to generate novel insights, synthesize complex information, and enable new forms of problem-solving. Moving too quickly ... See more

Our metrics of progress have continuously abstracted: from the tangible bushels of wheat in agricultural economies (with natural physical limits), to industrial-era efficiency metrics (units/hour, machine uptime), to the nebulous productivity measures of knowledge work. Each evolution has moved us further from human-scaled, naturally bounded metric... See more