Robotics Will Take And Give

Robots Won’t Just Take Jobs, They’ll Create Them

Mynul Khan | May 13, 2016

Robots and artificial intelligence have come a long way since a Roomba entered your home to vacuum your floor and Siri gave you advice on the best Italian restaurants in your parents’ neighborhood.
Cars drive themselves. Robots deliver pizza. A revolution is underway. According to a 2013 University of Oxford study, half of American jobs could be automated within the next two decades. The study identified transportation, logistics and administrative jobs as the most vulnerable to automation. Others assert it is only a matter of time before robots replace teachers, travel agents, interpreters and a host of other professions.
[...] Robots in the workforce present an opportunity to stimulate job growth and create new types of work. [...]

"This graph from the A3 paper plots U.S. employment (in thousands) versus robot units shipped in the United States since 1996. From 1996 to 2000, before the recession in 2001, American employment increased while the number of robots being installed grew." Source: http://www.ptonline.com/articles/study-investments-in-robots-create-more-jobs-for-people

<more at http://techcrunch.com/2016/05/13/robots-wont-just-take-jobs-theyll-create-them/; related articles and links: http://www.theatlantic.com/business/archive/2016/01/automation-paradox/424437/ (The Automation Paradox.When computers start doing the work of people, the need for people often increases. January 19, 2016) and http://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf (The Future of Employment: How Susceptible Are Jobs to Computerisation? Carl Benedikt Frey and Michael A. Osborne. September 17, 2013. [Abstract; We examine how susceptible jobs are to computerisation. To assess this, we begin by implementing a novel methodology to estimate the probability of computerisation for 702 detailed occupations, using a Gaussian process classifier. Based on these estimates, we examine expected impacts of future computerisation on US labour market outcomes, with the primary objective of analysing the number of jobs at risk and the relationship between an occupation’s probability of computerisation, wages and educational attainment. According to our estimates, about 47 percent of total US employment is at risk. We further provide evidence that wages and educational attainment exhibit a strong negative relationship with an occupation’s probability of computerisation.] >