Generative artificial intelligence is rapidly transforming workplaces across the globe, enhancing productivity and reshaping tasks in many occupations. But its effects are not gender neutral. A new report by the International Labour Organization finds that women are more exposed than men to the risks linked to this technology. In this episode of the ILO Future
This post highlights a new working paper by MIT PhD students Shakked Noy and Whitney Zhang. The study, titled “Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence,” examines how generative AI tools affect worker productivity through a controlled experiment. The findings contribute to the ongoing discussion on AI’s role in the workplace. Source:
“We often think that new technology will have the greatest impact on lower-skilled, or ‘blue collar’ jobs, like those in agriculture or factories. But new research has found that Generative Artificial Intelligence (AI) tools such as ChatGPT can significantly improve productivity for higher-skilled tasks. In an experiment detailed in a new academic paper titled Experimental
This ILO working paper examines the potential global effects of generative AI, particularly GPT-4, on job quantity and quality. The analysis suggests that augmentation, not full automation, will be the primary outcome, with clerical occupations—and women—most affected. The study calls for proactive policies that prioritize job quality, fair transitions, and social dialogue. "This study assesses
This podcast episode from the ILO explores a new study on how generative AI affects the quality of employment, not just the number of jobs. The research indicates that AI’s role in augmenting tasks is at least as important as automating them. It also warns that without appropriate policies, AI could widen existing gender and
This podcast episode features Pawel Gmyrek, Senior researcher at the ILO, and Hernan Winkler, Senior economist at the World Bank, who discuss their recent research paper on how generative AI may affect employment in Latin America. The conversation explores whether these technologies might reduce or deepen the region’s digital divide and existing inequalities. Generative artificial
