Recent discussions on the global unemployment landscape suggest that while there have been significant conversations around AI’s potential to create new job opportunities, the current global outlook on unemployment appears to be more complex. According to a report from the International Labour Organization (ILO) released in January 2024, global unemployment is actually expected to rise, with the UN agency highlighting growing concerns around inequality and stagnant productivity as contributing factors.
Currently, just over five percent of the world’s workforce is without a job, which is an improvement from pre-pandemic levels. However, an additional two million people are expected to be looking for employment over the next 12 months. This forecast aligns with a broader economic slowdown, as indicated by a World Bank report predicting the slowest half-decade of growth in 30 years.
Contrastingly, the World Economic Forum has discussed the potential of AI in creating new job sectors, specifically highlighting roles like AI trainers, explainers, and sustainers as areas where job opportunities could rise rapidly due to technological advancements. These insights were part of a broader conversation about the need for good job creation in the current global context, emphasizing the importance of industry transformation driven by increased technology adoption.
This presents a nuanced picture where, on one hand, advancements in technology and AI hold the promise of creating new kinds of jobs and transforming existing ones. On the other hand, current economic trends and challenges, including those brought on by the pandemic’s long-lasting impacts, suggest a more cautious outlook on global employment rates in the near term. The ILO’s call for quick and effective action to tackle workforce challenges underlines the importance of addressing these issues to ensure a sustainable economic recovery and the achievement of greater social justice.