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Mind the AI Divide: Shaping a Global Perspective on the Future of Work
The report discusses the implications of AI on global labor markets, highlighting the widening divide between high-income and low-income countries, and emphasizes the need for international cooperation to ensure equitable access to AI benefits.
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| Quick Facts | |
|---|---|
| Report location: | source |
| Language: | English |
| Publication date: | July 26, 2024 |
| Publisher: | International Labor Organization |
| Authors: | Lucia Velasco, Mehdi Snene, Janine Berg |
| Time horizon: | 2024 |
| Geographic focus: | Global |
Methods
The research method involved analyzing the potential exposure of various occupations to generative AI technology using occupational exposure scores. The analysis utilized employment data from labor force surveys across over 140 countries to assess the global and regional employment impact of AI.
(Generated with the help of GPT-4)
Key Insights
The report examines the transformative effects of Artificial Intelligence (AI) on labor markets, emphasizing the growing disparities between high-income and low-income countries. It identifies an “AI divide,” where wealthier nations benefit disproportionately from AI advancements, while developing countries, particularly in Africa, lag behind. The report highlights that while AI has the potential to enhance productivity and improve working conditions, its benefits will not materialize without proactive measures to build digital infrastructure, promote technology transfer, and develop AI skills in disadvantaged regions. The analysis reveals that certain occupations, particularly clerical roles, are more exposed to automation, with women being disproportionately affected due to their representation in these jobs. However, the report also notes that automation does not necessarily lead to job loss; instead, it can augment human labor. The research underscores the importance of international collaboration in AI capacity building to bridge the digital divide and foster inclusive growth. It calls for targeted strategies to support AI development in less developed countries, ensuring that all jobs along the AI value chain are of good quality. The report concludes by advocating for a comprehensive approach to integrate AI into the workforce, emphasizing the need for social dialogue and worker participation in the design and implementation of AI technologies.
(Generated with the help of GPT-4)
Additional Viewpoints
Categories: 2024_publication_year | english_publication_language | global_geographic_scope | ai_divide | automation | digital_infrastructure | gender_disparities | international_cooperation | job_quality | labor_markets | skills_development | social_dialogue | technology_transfer