Globalization and technological progress

The relationship between technology and employment has always been a source of concern, at least since the first industrial revolution. However, while process innovation can be job-destroying (provided that its direct labor-saving effect is not compensated through market mechanisms), product innovation can imply the emergence of new firms, new sectors, and thus new jobs (provided that its welfare effect dominates the crowding out of old products). Nowadays, the topic is even more relevant because the world economy is undergoing a new technological revolution centred on automation and the diffusion of Artificial Intelligence (AI).

Artificial intelligence (AI) has streamlined processes, improved workforce allocation, and created new jobs to meet the needs of digitalization and automation. Individuals with AI capital experience greater employment opportunities and higher wages, particularly in high-skilled roles and large firms. Training in AI helps reduce gender-based digital disparities, empowers individuals, and enhances their employability. Policymakers should promote inclusive AI development policies to prevent widening AI-related divides and unemployment, and to ensure equitable opportunities.

Remote work and digital collaborations are prevalent in the business world and many employees use digital communication tools routinely in their jobs. Communication shifts from face-to-face meetings to asynchronous formats using text, audio, or video messages. This shift leads to a reduction of information and signals leaders can send and receive. Do classical leadership and communication techniques such as transformational or charismatic leadership signaling still work in those online settings or do leaders have to rely on transactional leadership techniques such as contingent reward and punishment tools in the remote setting?

The IT revolution has had dramatic effects on jobs and the labor market. Many routine manual and cognitive tasks have been automated, replacing workers. By contrast, new technologies complement and create new non-routine cognitive and social tasks, making work in such tasks more productive, and creating new jobs. This has polarized labor markets: while low-skill jobs stagnated, there are fewer and lower-paid jobs for middle-skill workers, and higher pay for high-skill workers, increasing wage inequality. Advances in AI may accelerate computers’ ability to perform cognitive tasks, heightening concerns about future automation of even high-skill jobs.

Employers are steadily increasing their reliance on technology when recruiting. On the one hand, this technology enables the wide dissemination of information and the management of large quantities of data at a relatively low cost. On the other hand, it introduces new costs and risks. The ease with which information can be shared, for example, can lead to its unauthorized use and obsolescence. Recruiting technologies are also susceptible to misuse and to biases built into their underlying algorithms. Better understanding of these trade-offs can inform government policies aiming to reduce search frictions in the labor market.

Trade regulation can create jobs in the sectors it protects or promotes, but almost always at the expense of destroying a roughly equivalent number of jobs elsewhere in the economy. At a product-specific or micro level and in the short term, controlling trade could reduce the offending imports and save jobs, but for the economy as a whole and in the long term, this has neither theoretical support nor evidence in its favor. Given that protection may have other—usually adverse—effects, understanding the difficulties in using it to manage employment is important for economic policy.