When you read or hear news stories about the imminent takeover of robots and algorithms that will eliminate jobs for human workers, many times the first examples given are blue-collar jobs like factory workers and taxi drivers. And you may have mentally congratulated yourself because your “professional” job is safe from the threat of being outsourced to computers.
But don’t feel so safe just yet. More and more, sophisticated algorithms and machine learning are proving that jobs previously thought to be the sole purview of humans can be done — as well or better — by machines.
Boston Consulting Group has predicted that by 2025 as much as a quarter of jobs currently available will be replaced by either smart software or robots. A study out of Oxford University also suggested that as much as 35 percent of existing jobs in the U.K. could be at risk of automation inside the next 20 years.
Take a look at these 10 professional jobs that are threatened by advances big data and machine learning:
The crux is: computers threaten more than low-skill jobs like factory workers, retail clerks, and waiters. As computers become exponentially more sophisticated, it naturally follows that they will be able to perform more sophisticated work. This will be a boon in many industries with increased accuracy and productivity. Any doctor would tell you that more accurate diagnostics are a good thing, and any lawyer would agree that faster, more comprehensive discovery is a benefit to the legal process.
The problem, however, lies in the fact that these technological revolutions might not create as many jobs as they eliminate. Certainly we will need more programmers, statisticians, engineers, data analysts and IT personnel to create and manage these sophisticated computers but it might be difficult to tell a factory line worker or taxi driver to shift gears and become a data analyst. How we fill the gaps when jobs are replaced will be the deciding factor as to whether all this automation is good for humanity or not.
This article was written by Bernard Marr from Forbes and was legally licensed through the NewsCred publisher network.
BNY Mellon is the corporate brand of The Bank of New York Mellon Corporation and may be used as a generic term to reference the corporation as a whole and/or its various subsidiaries generally. This material does not constitute a recommendation by BNY Mellon of any kind. The information herein is not intended to provide tax, legal, investment, accounting, financial or other professional advice on any matter, and should not be used or relied upon as such. The views expressed within this material are those of the contributors and not necessarily those of BNY Mellon. BNY Mellon has not independently verified the information contained in this material and makes no representation as to the accuracy, completeness, timeliness, merchantability or fitness for a specific purpose of the information provided in this material. BNY Mellon assumes no direct or consequential liability for any errors in or reliance upon this material.