We're asking all the wrong questions about the future of jobs
— August 31, 2017
By Vasant Dhar
In engineering, work is defined as the product of force and distance. Early machines amplified force and turbocharged human productivity, providing an early platform for industrialised society. They eliminated physical grunt work and created new kinds of work for humans, such as operating and fixing machines and using their capabilities in new ways. Computers have similarly reduced our informational grunt work, enabling more productive, creative, and rewarding work for humans.
But today’s machines are different in that they are increasingly figuring things out for themselves. They have learned how to learn, a quality that has until now been exclusive to humans. Our ability to perceive the world and integrate unstructured information spontaneously serves as the bedrock of much of human work. With machines now performing this role, often better than us, how valuable will the human - or ‘nonroutine’ - aspects of work be in the future?
Read the full article as published in the World Economic Forum.
Vasant Dhar is a Professor of Information Systems.