The New World of Work

We speak with two leaders on the forefront of applying AI techniques such as automation and machine learning in the business world. How can CEOs stay ahead of the curve in training and developing their workforce for using this technology? Since companies are doing the hiring and creating the jobs, what role do they play in talent and development? How should companies think about hiring as work changes? John Donahoe, CEO of ServiceNow, and Jeff Weiner, CEO of LinkedIn, tackle the tough questions facing companies today.    Listen to the podcast (duration: 28:53) >  

We’ve explored McKinsey Global Institute’s research on the future of work in this podcast series. What do other experts have to say? We sat down with Zoe Baird, CEO of the Markle Foundation, and Tim O’Reilly, founder of O’Reilly Media, at the Churchill Club in San Francisco to share their thoughts on the new world of work. They address key questions including: how do we retrain the workforce? What role does government play in the transition? How are businesses preparing for the shift? How do we ensure an equitable future of work? And, should we consider universal basic income?    Listen to the podcast (duration: 35:55) >  

Automation will displace many jobs over the next 10-15 years, but many others will be created, and even more will change. Jobs of the future will use different skills and may have higher educational requirements. In this episode, we ask experts how we can retrain workers for the new world of work and what the shifts might mean for occupations and wages.    Listen to the podcast (duration: 32:14) >  

In this episode, we examine how technology has affected employment and incomes in manufacturing and other sectors in the United States and other advanced economies in the recent past and discuss whether automation could widen the gap between high and low-income jobs.    Listen to the podcast (duration: 21:22) >  

New technologies such as artificial intelligence and automation are reshaping the workplace globally, but there are likely to be significant differences from country to country. In this podcast, we look at automation’s likely impact in China, Europe, and India.    Listen to the podcast (duration: 31:53) >