Future of Jobs

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Economist Andrew McAfee suggests that, yes, probably, droids will take our jobs — or at least the kinds of jobs we know now. In this far-seeing talk, he thinks through what future jobs might look like, and how to educate coming generations to hold them.
Andrew McAfee studies how information technology affects businesses and society.

Andrew McAfee

Andrew McAfee studies the ways that information technology (IT) affects businesses, business as a whole, and the larger society. His research investigates how IT changes the way companies perform, organize themselves and compete. At a higher level, his work also investigates how computerization affects competition, society, the economy and the workforce.

He’s a principal research scientist at the Center for Digital Business at the MIT Sloan School of Management. His books include Enterprise 2.0 and Race AJackson Katzgainst the Machine (with Erik Brynjolfsson). Read more on his blog.

1 Comment

  1. Asmaa

    April 8, 2015 at 5:46 pm

    I agree. I have participated in miaektrng research projects with tremendous quantities of data that have generated very little in the way of useful findings.Computers now have the capacity to run massive amounts of data through every possible combination and correlation, but the results are meaningless without brainpower to detect findings that help explain the market or suggest strategies.Sometimes the huge amounts of numbers simply confuse people. I have seen analysts pull striking numbers out of the mess without noticing that statistical validity measures indicate the numbers shouldn’t be used. I have also seen analysts mistakenly interpret validity measures as end findings. (It’s certainly embarrassing when that problem is discovered.)Other times the findings are interesting but no one knows what to do with them. The result is lots of bulleted text that makes for a lengthy report but does not support relevant conclusions.It can be very efficient for a tech person to handle the coding while a subject analyst looks at what the data mean. Interpretation benefits from creativity and knowledge—the analyst does not need to know how to program as long as he or she can interpret the data.-Diana

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