The humans training their AI replacements

Low-wage workers in developing nations are increasingly hired to label data and identify errors to improve the performance of generative AI models. While these tasks are essential for advancing machine learning, the work often involves repetitive, low-paid labor that inadvertently accelerates the automation of the very roles the workers fill. This trend highlights the growing tension between the human labor required to build AI systems and the potential for those same systems to displace human workers in the global job market.