Artificial Intelligence Versus the Worker - Disruption

As artificial intelligence and machine learning applications become pervasive, questions arise with regards to rationalising jobs and managing human talent. Businesses must decide how best to balance the efficiencies of automating tasks using intelligent machines while at the same time managing the risks of automating too quickly or slowly. A useful tool in deciding how jobs may be affected in the era of robotics and cognitive machines is the'Return on Improved Performance' (ROIP) curve shown in the graph. Using it, companies can make the important distinction between two categories of role: 'proficiency' and'pivotal'. Let's take the airline industry as an example.