This video features Saadia Zahidi, managing director of the World Economic Forum, discussing the findings of their latest report on the future of work. According to the report, 83 million jobs are expected to disappear within the next five years due to rapid advancements in AI and the push for green solutions.
In this video, OECD Senior Economist Stijn Broecke interviews Professor Gina Neff from the Oxford Internet Institute to discuss the impact of artificial intelligence on the labor market.
In this video, Kai-Fu Lee, chairman and CEO of Sinovation Ventures, shares his perspective on the impact of artificial intelligence on the white-collar workforce. He discusses how AI is transforming industries by automating tasks traditionally performed by professionals, leading to significant changes in employment dynamics.
This YouTube video features a presentation by MIT Institute Professor of Economics Daron Acemoglu on his latest book, Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity. Co-authored with Simon Johnson, the book examines the interplay between technology and economic development, tracing its historical and contemporary impacts.
This video discusses the concept of universal basic income (UBI) as a solution to poverty. The speaker argues that poverty could be effectively addressed by providing cash directly to those in need, rather than relying on complicated government programs.
In this video, author Jaron Lanier discusses with Steve Paikin how the rise of digital networks and technology is transforming various industries, from media to manufacturing to medicine. Lanier raises a critical question: if information is "free" in the digital age, who gets compensated in an information economy? He explores how these technological shifts are contributing to the decline of the middle class and proposes potential solutions to mitigate the negative impacts of digital networks on society and the economy.
Nick Bostrom, founder of the History of Humanity Institute and Professor at Oxford University, and now the principle researcher at the Marrostrategy Research Initiative, discusses ideas from his book, AI Utopia. He speaks of various areas that may become obsolete in an AI dominant future. Among the topics are areas that may be AI proof: priesthood, prostitution, politics.
In this interview with Johnathan Bi, economist and professor at George Mason University, Tyler Cowen, considers ways to prepare for AI, covering, for example, US-China relations, wealth distribution, Ai and content creation, and Ai intellectual labor.
In this interview with Tim Miller, Karen Hao discusses "Empires of AI," her 2025 book on Sam Altman. It underline Altman's influence in the development of generative AI. It also highlights the costs of AI and the discussion about the future of artificial general intelligence.
The article "The AI Factor in Talent Management" from McKinsey features an interview with Jacob Hsu and Mike Rosenbaum of Catalyte, a company that leverages AI to identify and develop talent. They discuss how AI is transforming the hiring process by using data and algorithms to discover potential in individuals who might be overlooked by traditional methods.
The article "Watched Over by Machines: AI and Surveillance at Work," published by The European Business Review, examines the growing use of AI and surveillance technologies in the workplace. It discusses how employers are increasingly using AI-driven tools to monitor employee performance, behavior, and productivity.
The article "Will Robots and AI Take Your Job? The Economic and Political Consequences of Automation," published by Brookings, examines the impact of AI and automation on the workforce. It discusses how technological advancements are likely to replace certain jobs, particularly those involving routine tasks, while also creating new employment opportunities in other areas. The article highlights concerns about income inequality, job displacement, and the need for policy interventions to support workers affected by automation.
The article from The Washington Post discusses how Scale AI, through its platform Remotasks, employs thousands of workers in the Philippines to help train artificial intelligence systems. These workers are tasked with data labeling, a crucial component in developing AI technologies. The article highlights the low wages, challenging working conditions, and lack of labor protections faced by these workers, raising questions about the ethics of outsourcing such labor-intensive tasks.
The article "Humanyze-ing the Workplace: Gathering and Analyzing Unique Data on Employee Interaction to Improve Productivity" discusses how Humanyze, a workplace analytics company, uses data from employee interactions to enhance productivity. The company collects data through wearable devices and other tools to track communication patterns, collaboration, and workplace behavior.