The editorial discusses the governance of artificial intelligence (AI), focusing on its opportunities and challenges. It begins with a definition of AI, emphasizing its role in technological progress through machine learning and deep learning. It highlights the potential of AI to generate welfare but notes that its economic value is not well captured in current national accounts. The article discusses the challenges of AI governance, including data collection, impact on communication and democracy, and the potential for AI to automate jobs or monopolize worker information. It also addresses the ethical challenges of AI, such as the boundaries between humans and machines. The editorial then explores the development and adoption of AI, noting its potential as a General-Purpose Technology (GPT) and an "Invention in the Method of Invention" (IMI). It discusses the adoption of AI in scientific research and the challenges of ensuring diversity in AI research. The article also examines the adoption of AI in various sectors, highlighting differences in adoption rates and the barriers to AI adoption, such as skills and financial constraints. The impact of AI on work is a central theme, with the article discussing the potential for AI to automate tasks, create new jobs, and affect worker skills and mobility. It highlights the need for policies that address the challenges of AI, including the potential for job displacement and the importance of re-skilling workers. The article also discusses the role of AI in hiring practices, the potential for algorithmic bias, and the impact of AI on working conditions, including algorithmic management and the challenges faced by platform workers. The editorial concludes by emphasizing the need for careful governance of AI to ensure that its benefits are realized while mitigating its challenges. It calls for policies that address the complexities of AI's impact on work, including the need for job redesign, the importance of worker representation, and the role of institutional frameworks in shaping the future of work. The article underscores the importance of understanding the societal consequences of AI and the need for policies that ensure that AI's impact is beneficial, sustainable, and just.The editorial discusses the governance of artificial intelligence (AI), focusing on its opportunities and challenges. It begins with a definition of AI, emphasizing its role in technological progress through machine learning and deep learning. It highlights the potential of AI to generate welfare but notes that its economic value is not well captured in current national accounts. The article discusses the challenges of AI governance, including data collection, impact on communication and democracy, and the potential for AI to automate jobs or monopolize worker information. It also addresses the ethical challenges of AI, such as the boundaries between humans and machines. The editorial then explores the development and adoption of AI, noting its potential as a General-Purpose Technology (GPT) and an "Invention in the Method of Invention" (IMI). It discusses the adoption of AI in scientific research and the challenges of ensuring diversity in AI research. The article also examines the adoption of AI in various sectors, highlighting differences in adoption rates and the barriers to AI adoption, such as skills and financial constraints. The impact of AI on work is a central theme, with the article discussing the potential for AI to automate tasks, create new jobs, and affect worker skills and mobility. It highlights the need for policies that address the challenges of AI, including the potential for job displacement and the importance of re-skilling workers. The article also discusses the role of AI in hiring practices, the potential for algorithmic bias, and the impact of AI on working conditions, including algorithmic management and the challenges faced by platform workers. The editorial concludes by emphasizing the need for careful governance of AI to ensure that its benefits are realized while mitigating its challenges. It calls for policies that address the complexities of AI's impact on work, including the need for job redesign, the importance of worker representation, and the role of institutional frameworks in shaping the future of work. The article underscores the importance of understanding the societal consequences of AI and the need for policies that ensure that AI's impact is beneficial, sustainable, and just.