Where robot revolution will hurt most

Article Source: LinkedIn

The effects of increased automation will not be felt equally across the U.S., according to a new study from The Brookings Institution. Workers in Rust Belt centers like Toledo, Ohio are poised to face the biggest job displacement, while those in urban areas like Washington, D.C. are expected to feel less of a burden. Such trends may fuel migration to large cities. Automation is also expected to disproportionately affect younger workers, black and Hispanic employees and men, Brookings notes.

Perspectives curated by LinkedIn Editors

Rani Molla Who will be most screwed by automation? It depends….

Rani Molla – Data Editor
We know automation is coming for our jobs. But we don’t know how many jobs we’ll lose or what exactly our new life among machines will look like. What we do know: Americans will be affected unevenly. The split will occur along certain demographic and geographic lines, which will lead to even greater divides between the haves and the have nots. For Recode I created five charts from that explore who’s going to have it worse in America and for whom the automation situation isn’t as bad. I also talked to some smart people from Brookings, Aspen Institute, as well as “Rise of the Robots” author Martin ford about what our automated future will look like and what solutions there are to make it better.
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Read the full article here: RecodeAlex Tennant


Steve Banfield Automation and Artificial Intelligence: How machines are affecting people and places

Steve Banfield
Building the next generation of consumer mobility
“The 5 states with the highest share of at-risk jobs are Indiana (29%), Kentucky (29%), South Dakota (28%), Arkansas (28%) and Iowa (28%)”
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Read the full article here: Brookings 


Bryan Jordan ROBOTS WILL TAKE JOBS FROM MEN, THE YOUNG, AND MINORITIES

Bryan Jordan
CEO/Founder of Streamplate & Electrical Engineering & Neuroscience student
Last week I wrote about why job automation will be so rapid. Recent studies by the Brookings Institute and MIT corroborate that highly-dexterous tasks are more prone to automation (eg. 91% accordance with food processing). Writing an in-depth technical analysis as to why job-automation has already won which I’ll upload in a week.
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Read the full article here: Wired



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