This recent report by MIT-IBM’s Watson AI Lab shows that for most of us, the automation revolution probably won’t mean physical robots replacing human workers, but it will come from algorithms.
Technology has long brought change to the nature of work, and to the skills required for the most desirable, best-paying jobs. But until recently, new technology – even robotics – has tended to mean automating repetitive or arduous tasks, while often leading to new types of tasks for workers. The emergence of artificial intelligence (AI) and machine learning (ML) poses a new set of opportunities – and challenges – for work and workers. The tasks that can be done by machine learning are much broader in scope than previous generations of technology have made possible. The expanded scope will change the value employers place on tasks, and the types of skills most in demand. As AI and machine learning transform businesses and reshape industries, the innovators of these technologies must consider not only the business implications but also the societal impact. As a result, the MIT-IBM Watson AI Lab has engaged in first-of-a-kind research that sheds new light on the reorganization of tasks within occupations by analyzing 170 million online job postings in the US between 2010 and 2017. There is no question that AI and related technologies will affect all jobs. The research reveals how tasks are transforming and what the implications are for employment and wages.
We won’t all lose our jobs, those jobs will change - thanks to artificial intelligence and machine learning.