Ekkehard Ernst, Chief of Macro-economic policies and job unit at the UN International Labour Organization (ILO), says the manufacturing sector does not stand to profit most from Artificial Intelligence (AI), at least not in developed countries, and will not suffer the forecasted demise. The jobs more likely to be impacted are in service sectors such as construction, health care, and business.
“It is not so much about losing jobs but about how jobs are being transformed and employees in these sectors will add new tasks to their profile while being supported by computers and robots in others,” Mr. Ernst said.
The type of tasks that are being replaced by AI algorithms are routine, repetitive tasks that take a lot of time and can be more easily and more effectively performed by machines and by robots – leaving people to focus on interpersonal, social, emotional skills.
In developing countries, the area which most stands to benefit is agriculture, Mr. Ernst said. AI is already helping farmers figure out the weather or get the latest market prices. In sub-Saharan Africa, for example, a mobile app created in part with the UN Food and Agricultural Organization (FAO) can identify crop pests such as the Fall Armyworm.
“What we need today is for people to get used to engaging with digital technology so they have no barriers to interacting with machines, that they speak to them, that they use them as a normal tool, as someone uses a car or an axe,” said Mr. Ernst.
Technological progress depends on whether consumers and firms ask for products and services made possible by new technologies, Mr. Ernst said. That means in part on whether workers have the right skills to implement the changes, and whether consumers want them.
One example of a changing consumer taste is online buying. Mr. Ernst predicts that while there might be fewer brick and mortar stores, they will reinvent themselves, adding services to improve the customer experience – and not disappear.
Historically, technological advances have created new products and markets. At the turn of the 20th century automobiles put horse transport out of work, but created many more jobs for manufacturing and servicing of cars. More recently, mobile phone app developers became an actual job, with the creation of the smart phone which did not even exist before the 1990s.
The latest study on AI from the UN Department of Economic and Social Affairs (UN DESA) anticipates the technology to have “profound impact” on labour markets and inequalities, but the path is not pre-ordained and can be shaped by policies at the local, national, and global levels.
He noted that humans may well be more productive and cheaper than machines. In addition to cheap human labour, the report also pointed to a lack of required skills, poor energy infrastructure and broadband, and transport network, as to why automation is not used on a global scale.
There are also legal and regulatory issues. For AI to be deployed on a large scale in healthcare, for example, it must be decided whether the doctor or the AI will be responsible for claims of medical malpractice.
The lead authors conclude that the current technological breakthroughs will not only impact labour markets and income inequality, but also broader societal change. The scale of which, they said, remains unknown.
“Technological progress should not be used as an excuse for policy inaction, but rather as an incentive to find better solutions,” they concluded.