People like algorithms, mostly, when the math and microprocessors add up to fast answers and precise production. When those data patterns start "learning to learn," however, and close the gap between what technology does and what humans are good at, we're less keen on those forms of automation.
They can put us out of our jobs, possibly, and Fast Company staffer Ben Schiller picks up on a white paper that stirred up and riled attendees of the World Economic Forum last week in Davos, Switzerland, from UBS, entitled, "Extreme automation and connectivity: The global, regional, and investment implications of the Fourth Industrial Revolution."
Here's the primary take-away Schiller offers:
"The advent of 'cobots,' or collaborative robots, which are able to 'move around' and interact without the need for fixed positions, have the potential to work at a higher rate of production relative to that of lower skilled human workers. The greatest disruption, however, could be experienced by workers who have so far felt immune to robotic competition, namely those in middle skill professions," the report says.