In January 2024, the International Monetary Fund published a Staff Discussion Note titled “Gen-AI: Artificial Intelligence and the Future of Work,” authored by Mauro Cazzaniga, Florence Jaumotte, Longji Li, Giovanni Melina, Augustus J. Panton, Carlo Pizzinelli, Emma J. Rockall, and Marina Mendes Tavares. Released around the World Economic Forum in Davos and amplified by IMF Managing Director Kristalina Georgieva, it became the headline institutional estimate of AI’s reach into global labor markets.
The note’s central finding is that almost 40 percent of global employment is exposed to AI. The exposure is uneven: in advanced economies, where work is concentrated in cognitive, high-skill roles, the figure rises to about 60 percent of jobs, compared with roughly 40 percent in emerging markets and around 26 percent in low-income countries. The authors stress that exposure cuts two ways. About half of the exposed jobs may be negatively affected through displacement, while the other half could benefit from AI complementing and enhancing human work, raising productivity and wages.
The IMF’s framing departs from a simple jobs-apocalypse narrative by emphasizing distribution. Advanced economies face greater disruption but also more opportunity, while many developing economies lack the infrastructure to capture the benefits, raising the risk that AI widens inequality between and within countries. The note calls for social safety nets and retraining programs to manage the transition, making it as much a policy document as an economic forecast.