Machines are eating humans’ jobs talents.
And it’s not just about jobs that are repetitive and low-skill.
Automation, robotics, algorithms and artificial intelligence (AI) in recent times have shown they can do equal or sometimes even better work than humans who are dermatologists, insurance claims adjusters, lawyers, seismic testers in oil fields, sports journalists and financial reporters, crew members on guided-missile destroyers, hiring managers, psychological testers, retail salespeople, and border patrol agents.
Moreover, there is growing anxiety that technology developments on the near horizon will crush the jobs of the millions who drive cars and trucks, analyze medical tests and data, perform middle management chores, dispense medicine, trade stocks and evaluate markets, fight on battlefields, perform government functions, and even replace those who program software – that is, the creators of algorithms.
Multiple studies have documented that massive numbers of jobs are at risk as programmed devices – many of them smart, autonomous systems – continue their march into workplaces.
A recent study by labor economists found that “one more robot per thousand workers reduces the employment to population ratio by about 0.18-0.34 percentage points and wages by 0.25-0.5 percent.”
When Pew Research Center and Elon University’s Imagining the Internet Center asked experts in 2014 whether AI and robotics would create more jobs than they would destroy, the verdict was evenly split: 48% of the respondents envisioned a future where more jobs are lost than created, while 52% said more jobs would be created than lost.
Since that expert canvassing, the future of jobs has been at the top of the agenda at many major conferences globally.
Several policy and market-based solutions have been promoted to address the loss of employment and wages forecast by technologists and economists.
A key idea emerging from many conversations, including one of the lynchpin discussions at the World Economic Forum in 2016, is that changes in educational and learning environments are necessary to help people stay employable in the labor force of the future.
Among the six overall findings in a new 184-page report from the National Academies of Sciences, the experts recommended: “The education system will need to adapt to prepare individuals for the changing labor market. At the same time, recent IT advances offer new and potentially more widely accessible ways to access education.”
Jobholders themselves have internalized this insight: A 2016 Pew Research Center survey, “The State of American Jobs,” found that 87% of workers believe it will be essential for them to get training and develop new job skills throughout their work life in order to keep up with changes in the workplace.
This survey noted that employment is much higher among jobs that require an average or above-average level of preparation (including education, experience, and job training); average or above-average interpersonal, management and communication skills; and higher levels of analytical skills, such as critical thinking and computer skills.
A central question about the future, then, is whether formal and informal learning structures will evolve to meet the changing needs of people who wish to fulfill the workplace expectations of the future.
Pew Research Center and Elon’s Imagining the Internet Center conducted a large-scale canvassing of technologists, scholars, practitioners, strategic thinkers and education leaders in the summer of 2016, asking them to weigh in on the likely future of workplace training.