The robots are not coming for our jobs. In 1915, the industrialist Lloyd Raymond Smith asked, “Can automobile frames be built without men?” The same question has been asked about entire industries. It never happened, even though automation has appeared in every workplace. And it didn’t merely appear.
Factory labour got intensively more mechanized from the moment factories were born. The surprise was that factory employment kept growing for another 65 years, including the early computer era.
Computer technology intensified automation, but it also spawned a whole new industry that almost nobody saw coming. It enabled much of the automation that finally started reducing U.S. factory employment in 1980, but even so, it’s not as one-sided as you might think. Since computers became a mainstream business tool, a million more IT-related jobs were created than jobs lost in manufacturing. And on the whole, these jobs in programming or computer sciences pay more. Median income for this job category now more than doubles the earnings from those good old factory jobs. This is technological progress, the largely unplanned creative destruction that Viennese economist Joseph Schumpeter described in the 1940s.
Advances in technology don’t guarantee that everyone will come out okay. When manufacturing work declines, current workers don’t easily move into IT jobs. While half of displaced workers find new work at equal or higher pay, perhaps in the new field, a few will move into other kinds of work at lower pay, and then lose their jobs altogether.
So who gets the new IT jobs that replace older technology? Sometimes it’s the displaced workers, but for the most part it’s the next generation. Virtually no kids or young adults want to work in a factory or even know what a factory is. They don’t tend to make or fix things with their hands, much as a 1960s factory worker deliberately knew nothing about growing wheat. Instead, today’s youngsters are computer coders. They want to write apps for smartphones and dream of making a fortune in a startup.
Now enter Artificial Intelligence knows many different definitions, but in general it can be defined as a machine completing complex tasks intelligently, meaning that it mirrors human intelligence and evolves with time. or . On one hand, computers are smart enough to assist in surgery. On the other hand, an artificial genius feeds you repeated ad messages asking if you’d like to buy the same item that you just bought last week. Even so, is clearly the next phase of workplace computer- automation, and deserves attention.
How can we estimate the future employment impact of robots combined with ? One way is look back at recent impacts from related technology. Grocers have been adding self-checkout machines since the 1980s, and their numbers will soon rival bank machines. Yet cashiers remain one of the three largest stable occupations. We now have millions of ATMs, yet we still have nearly as many bank tellers as ever. The net employment result of computerized automation has often been near zero.
In a related shift, computers brought the proliferation of do-it-yourself tasks such as banking, travel bookings, classified ads, licence applications and tax preparation. We face a huge new burden online and in stores, yet traditional retail and service jobs persist. The artificially intelligent robots have already begun their impact and yet the human jobs are still there. So, the recent past shows us how computerized technology shifts tasks around without massively destroying jobs. Let’s use this experience as a tool to look forward. […]