To navigate the uncertain landscape of emerging technology and ensure that the benefits of Generative AI are equitably distributed, this brief recommends ten policy actions that could serve as a starting point for discussion and implementation.
In this MIT study conducted with Boston Consulting Group, a global management consulting firm, researchers examine the performance implications of AI on realistic, complex, and knowledge-intensive tasks.
In this white paper from the Jobs of Tomorrow series, the World Economic Forum, in collaboration with Accenture, presents an examination of the potential impact of large language models (LLMs) on jobs. The integration of LLMs in various industries presents a paradigm shift in how we interact with information and, by extension, how we work.
This paper documents near-exponential growth in the demand for artificial intelligence (AI)-related skills in India’s services sector since 2016, using a new dataset of online vacancies from its largest jobs website. It evaluates the impact of demand for AI skills on establishment-level non-AI postings in the short term using an event study, and medium term using a shiftshare design that exploits variation in exposure to new AI inventions.
This paper examines the productivity effects of a generative artificial intelligence technology—the assistive chatbot ChatGPT—in the context of mid-level professional writing tasks
Acknowledging the growing importance of generative AI in research and practical applications, including its use to solve international development challenges, this report provides a comprehensive overview of generative AI, introduces the basics, explains its development over time, and examines its types and applications.
This study assesses the potential global exposure of occupations to Generative AI, particularly GPT-4. Insights from this study underline the need for proactive policies that focus on job quality, ensure fair transitions, and that are based on dialogue and adequate regulation.
This paper investigates the potential implications of large language models (LLMs), such as Generative Pretrained Transformers (GPTs), on the U.S. labor market, focusing on the increased capabilities arising from LLM-powered software compared to LLMs on their own.
This report is designed to help both professionals and business leaders understand what’s happening with AI and work. It covers three main areas: the intersection of AI and the world of work, the state of play of Generative AI (GAI) in the workforce, and LinkedIn’s role in helping navigate an AI-driven world.
Using LinkedIn’s Economic Graph, a unique digital representation of the global labor economy spanning over 950 million professionals, this report identifies the skills that stand to be affected and those that will likely complement new generative AI technologies.
