Editorial

By 2025, automation has the potential to displace 85 million jobs, according to the World Economic Forum (WEF)’s latest “Future of Jobs” report. On a more hopeful note, the authors also argue that the robot revolution is expected to create 97 million new jobs at the same time. The resulting job balance may be positive, but these drastic shifts in the labor market should offer both hope and caution; they will impact each nation’s economy significantly, and alter the demand for skills in employees, but may also stir social structures and affect citizens’ trust in their respective governments, public institutions, and the private sector.

In essence, respective governments, nations, and markets that equip their citizens for the upcoming skills-transition will be most successful. Those nations and companies that fail to plan ahead and adapt their education plans will risk falling behind. For example, low-wage workers may need to shift to occupations in higher wage brackets and require different skills to remain employed – with analytical thinking, creativity, and flexibility being among the most sought-after skills of the future. In this vein, the Swiss apprenticeship model becomes a model for others. Switzerland’s dual system combines learning on the job – and being paid a learning wage – with one to two days of theory at school. With 230 vocational professions to choose from, ranging from catering to high-tech industries, around two-thirds of Swiss school leavers opt for an apprenticeship.

Across countries and supply chains, research has evidenced rising demand for employment, particularly in nonroutine analytics jobs accompanied by significant automation of routine manual jobs. As economies and job markets evolve, new roles will emerge across the care economy in technology fields (such as artificial intelligence) and in content creation careers. In response to these substantial changes and the rapid scale-up of digital platforms, the World Bank invites nations to (1) “ramp up investment in human capital and lifelong learning for workers,” (2) “strengthen social protection to facilitate work transition and reduce disincentives to the creation of formal jobs,” (3) “ensure affordable access to the internet while adapting regulations to confront the challenges posed by digital platforms,” and (4) “upgrade taxation systems to address tax avoidance and create fiscal space for universal social protection and human capital development.”

Technological progress will create multiple opportunities, but the process towards them can be disruptive – how well countries cope with the demand for changing job skills will also depend on how quickly the supply of skills shifts. Early planning by governments and companies alike can help avoid the escalation of unemployment rates and social unrest. Automation is no “side issue” —applied the right way, it has the potential to bring substantial benefits to both economic modernization and social well-being. These challenges will need to be approached in a humane and socially inclusive manner —offering education that keeps pace with the times, facilitating the creation of new livelihoods at all levels of society, or making the joy of invention accessible to all. It is not too late for nations and industries to adapt their learning and labor structures, increase collaboration between the public and private sectors, and build trust in the community and its leaders’ decision-making.

Sincerely,

Pascal Marmier
Economy of Trust Foundation / SICPA
Stephanie Wander
Atlantic Council GeoTech Center
Borja Prado
Editor

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Image: A staff watches an auto-sorting machine sorting out parcels on the Double Eleven Shopping Festival at a ZTO Express logistics center in Beijing, China, 11 November 2020.No Use China. No Use France.