Is AI Really A Job Killer? These Experts Say No

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Credit: Nidibou Photography (portfklaipeda)

Management and technology experts Thomas Davenport and Steven Miller argue that AI is not a job destroyer — no matter what other predictions might say. Yes, AI and intelligent technology will take over some jobs, but that will free up workers to do more challenging and important work, reports forbes.

Working with AI

Tom and Steven recently completed a book on this topic called Working with AI: Real Stories of Human-Machine Collaboration, and I got the chance to speak with them about their predictions for how AI will fit in with the workplaces of the future.

Here’s How AI Is Augmenting Humans in the Workplace

Morgan Stanley’s wealth management business unit is using machine learning to make customised investment predictions, similar to the way Netflix uses predictive technology in the entertainment world.

Machine shop is using HoloLens mixed reality smart glasses and augmented reality to train operators on how to use machinery. Steven says, “This is a wonderful example of how new technology actually makes it easier for new entrants to come into a job.”

How Will AI Impact the Future of the Workplace?

Reported asked Tom and Steven about the overall impact of AI in the workplace of the future, and they shared several important trends they’re seeing.

“People will need to embrace digital and intelligent technologies if they’re going to be successful in their jobs,” Tom shared. “I worked with a radiologist in the Boston area who also has a Ph.D. in AI. And he kept saying, ‘The only radiologists who are gonna lose their jobs to AI are those who refuse to work with AI.’”

Tom and Steven found a number of cases where AI can take the first swipe at solving a problem, but a company still needs a human to pull it all together, revise it, review it, and potentially override the AI’s answers.

Steven also mentions the fact that AI is only a small part of the monumental changes that will happen in workplaces. “It takes a village to change a job with AI,” he says. “You need a lot of job roles across many different departments that have to be brought into alignment and coordination…these systems don’t materialise overnight.”

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Source : Forbes