Jobs lost, jobs gained.
Everyone who reads this is certainly thinking about his own future. Despite the overall mood is bad compared to 10 years ago, we know that everything is changing. So, if one wants to stay afloat, he/she must make friends with innovations and instrumentalize AI.
Unfortunately, we still focus too much on how we can actually save jobs instead of thinking about how we can teach people new skills that they would need in a software-enabled world. In addition to this, we must focus on what machines cannot do — creativity and teamwork, investment in education, mastering the new technologies, encouragement innovative entrepreneurs to invent new jobs to replace the automated ones.
There are jobs mostly threatened by digitalization (Source IAB 11/2019), e.g. manufacturing jobs – 83%, service jobs – 60%, corporate management jobs – 57%, transport jobs – 55% , trade jobs – 50% . On the other hand, the new ones will arise such as data scientists, who evaluate the AI decisions to eliminate any biases, transparency analysts, who classify the various types of opacity for algorithms, smart-system interaction modelers, who develop machine behavior based on employee behavior or machine-relations managers, who champion for the greater use of algorithms that perform well.
History shows that technology has created large employment and sector shifts, but also created new jobs. If history is any guide, we could also expect that 9% of 2030 labor demand will be in new types of occupations that have not existed before.
After we realize that the AI upheaval won’t aggravate the economic crises, we will see the whole scope of diverse opportunities: Machine learning will promote fairness and diversity in the work settings; Software and robots won’t destroy our jobs but supplement them; AI will create new jobs and eliminate bias and diversity challenges at work.