<table width="633" border="0" cellspacing="0" cellpadding="0"> <tr> <td width="403" valign="top"> 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. <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a31303030303163346137376e68336c33373674&he=687474702533412532462532467777772e6d636b696e7365792e636f6d253246617373657473253246646f74636f6d2532464d47492d4675747572652d6f662d576f726b2d706f64636173742532464d47492d486f772d63616e2d627573696e6573732d6c6561646572732d6d616b652d7468652d6e65772d776f726c642d6f662d776f726b2d6265747465722d666f722d70656f706c652e6d7033">Read more &#62;</a> <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a31303030303163346137376e68336c33373674&he=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"> <img src="http://podcasts.mckinsey.com/x/img/podcast.gif" border="0"/></a>&nbsp;&nbsp; <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a31303030303163346137376e68336c33373674&he=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"> Listen to the podcast (duration: 28:53) &#62; </td> <td width="16">&nbsp;</td> <td width="150"</td> </tr> </table><img src="http://podcasts.mckinsey.com/iop.gif?r=misc&s=_misc&i=lc%3A100001c4a77nh3l376t" width="1" height="1" border="0"/>

 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. Read more &#62; &nbsp;&nbsp; Listen to the podcast (duration: 28:53) &#62; &nbsp; 

The New World of Work

How can business leaders can make the new world of work better for people?

<table width="633" border="0" cellspacing="0" cellpadding="0"> <tr> <td width="403" valign="top"> 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? <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a31303030303163343876366268737235726732&he=687474702533412532462532467777772e6d636b696e7365792e636f6d253246617373657473253246646f74636f6d2532464d47492d4675747572652d6f662d576f726b2d706f64636173742532464d47492d486f772d63616e2d627573696e6573732d6c6561646572732d706f6c6963796d616b6572732d616e642d696e646976696475616c732d707265706172652d746f6461792d666f722d7468652d6a6f62732d6f662d746f6d6f72726f772e6d7033">Read more &#62;</a> <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a31303030303163343876366268737235726732&he=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"> <img src="http://podcasts.mckinsey.com/x/img/podcast.gif" border="0"/></a>&nbsp;&nbsp; <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a31303030303163343876366268737235726732&he=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"> Listen to the podcast (duration: 35:55) &#62; </td> <td width="16">&nbsp;</td> <td width="150"</td> </tr> </table><img src="http://podcasts.mckinsey.com/iop.gif?r=misc&s=_misc&i=lc%3A100001c48v6bhsr5rg2" width="1" height="1" border="0"/>

 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? Read more &#62; &nbsp;&nbsp; Listen to the podcast (duration: 35:55) &#62; &nbsp; 

How can business leaders, policymakers, and individuals prepare today for the jobs of tomorrow?

<table width="633" border="0" cellspacing="0" cellpadding="0"> <tr> <td width="403" valign="top"> 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. <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a31303030303163343833667632383631746839&he=687474702533412532462532467777772e6d636b696e7365792e636f6d253246617373657473253246646f74636f6d2532464d47492d4675747572652d6f662d576f726b2d706f64636173742532464d47492d486f772d77696c6c2d6175746f6d6174696f6e2d6166666563742d6a6f62732d736b696c6c732d616e642d77616765732e6d7033">Read more &#62;</a> <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a31303030303163343833667632383631746839&he=68747470253341253246253246706f6463617374732e6d636b696e7365792e636f6d253246706f646361737425334670632533447468656e6577776f726c646f66776f726b5f6974756e65732532367075253344687474702532353341253235324625323532467777772e6d636b696e7365792e636f6d25323532466173736574732532353246646f74636f6d25323532464d47492d4675747572652d6f662d576f726b2d706f646361737425323532464d47492d486f772d77696c6c2d6175746f6d6174696f6e2d6166666563742d6a6f62732d736b696c6c732d616e642d77616765732e6d7033253236706e253344486f7725324277696c6c2532426175746f6d6174696f6e2532426166666563742532426a6f62732532353243253242736b696c6c732532353243253242616e6425324277616765732532353346"> <img src="http://podcasts.mckinsey.com/x/img/podcast.gif" border="0"/></a>&nbsp;&nbsp; <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a31303030303163343833667632383631746839&he=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"> Listen to the podcast (duration: 32:14) &#62; </td> <td width="16">&nbsp;</td> <td width="150"</td> </tr> </table><img src="http://podcasts.mckinsey.com/iop.gif?r=misc&s=_misc&i=lc%3A100001c483fv2861th9" width="1" height="1" border="0"/>

 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. Read more &#62; &nbsp;&nbsp; Listen to the podcast (duration: 32:14) &#62; &nbsp; 

How will automation affect jobs, skills, and wages?

<table width="633" border="0" cellspacing="0" cellpadding="0"> <tr> <td width="403" valign="top"> 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. <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a3130303030316334377574726a396961696d69&he=687474702533412532462532467777772e6d636b696e7365792e636f6d253246617373657473253246646f74636f6d2532464d47492d4675747572652d6f662d576f726b2d706f64636173742532464d47492d576861742d77696c6c2d6175746f6d6174696f6e2d6d65616e2d666f722d77616765732d616e642d696e636f6d652d696e657175616c6974792e6d7033">Read more &#62;</a> <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a3130303030316334377574726a396961696d69&he=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"> <img src="http://podcasts.mckinsey.com/x/img/podcast.gif" border="0"/></a>&nbsp;&nbsp; <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a3130303030316334377574726a396961696d69&he=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"> Listen to the podcast (duration: 21:22) &#62; </td> <td width="16">&nbsp;</td> <td width="150"</td> </tr> </table><img src="http://podcasts.mckinsey.com/iop.gif?r=misc&s=_misc&i=lc%3A100001c47utrj9iaimi" width="1" height="1" border="0"/>

 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. Read more &#62; &nbsp;&nbsp; Listen to the podcast (duration: 21:22) &#62; &nbsp; 

What will automation mean for wages and income inequality?

<table width="633" border="0" cellspacing="0" cellpadding="0"> <tr> <td width="403" valign="top"> 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. <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a31303030303163343771377667727265767034&he=687474702533412532462532467777772e6d636b696e7365792e636f6d253246617373657473253246646f74636f6d2532464d47492d4675747572652d6f662d576f726b2d706f64636173742532464d47492d486f772d77696c6c2d6175746f6d6174696f6e2d6166666563742d65636f6e6f6d6965732d61726f756e642d7468652d776f726c642e6d7033">Read more &#62;</a> <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a31303030303163343771377667727265767034&he=68747470253341253246253246706f6463617374732e6d636b696e7365792e636f6d253246706f646361737425334670632533447468656e6577776f726c646f66776f726b5f6974756e65732532367075253344687474702532353341253235324625323532467777772e6d636b696e7365792e636f6d25323532466173736574732532353246646f74636f6d25323532464d47492d4675747572652d6f662d576f726b2d706f646361737425323532464d47492d486f772d77696c6c2d6175746f6d6174696f6e2d6166666563742d65636f6e6f6d6965732d61726f756e642d7468652d776f726c642e6d7033253236706e253344486f7725324277696c6c2532426175746f6d6174696f6e25324261666665637425324265636f6e6f6d69657325324261726f756e64253242746865253242776f726c642532353346"> <img src="http://podcasts.mckinsey.com/x/img/podcast.gif" border="0"/></a>&nbsp;&nbsp; <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a31303030303163343771377667727265767034&he=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"> Listen to the podcast (duration: 31:53) &#62; </td> <td width="16">&nbsp;</td> <td width="150"</td> </tr> </table><img src="http://podcasts.mckinsey.com/iop.gif?r=misc&s=_misc&i=lc%3A100001c47q7vgrrevp4" width="1" height="1" border="0"/>

 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. Read more &#62; &nbsp;&nbsp; Listen to the podcast (duration: 31:53) &#62; &nbsp; 

How will automation affect economies around the world?

<table width="633" border="0" cellspacing="0" cellpadding="0"> <tr> <td width="403" valign="top"> This is not the first time the world has experienced significant shifts in employment due to new technology. History tells us that in the long run, technology is a net creator of jobs. But with AI and automation's rapid advances, could this time be different? Here's what we can learn from past employment transitions, first out of agriculture and more recently out of manufacturing. <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a31303030303163343735713463386b31676f66&he=687474702533412532462532467777772e6d636b696e7365792e636f6d253246617373657473253246646f74636f6d2532464d47492d4675747572652d6f662d576f726b2d706f64636173742532464d47492d576861742d63616e2d686973746f72792d74656163682d75732d61626f75742d746563686e6f6c6f67792d616e642d6a6f62732e6d7033">Read more &#62;</a> <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a31303030303163343735713463386b31676f66&he=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"> <img src="http://podcasts.mckinsey.com/x/img/podcast.gif" border="0"/></a>&nbsp;&nbsp; <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a31303030303163343735713463386b31676f66&he=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"> Listen to the podcast (duration: 34:59) &#62; </td> <td width="16">&nbsp;</td> <td width="150"</td> </tr> </table><img src="http://podcasts.mckinsey.com/iop.gif?r=misc&s=_misc&i=lc%3A100001c475q4c8k1gof" width="1" height="1" border="0"/>

 This is not the first time the world has experienced significant shifts in employment due to new technology. History tells us that in the long run, technology is a net creator of jobs. But with AI and automation's rapid advances, could this time be different? Here's what we can learn from past employment transitions, first out of agriculture and more recently out of manufacturing. Read more &#62; &nbsp;&nbsp; Listen to the podcast (duration: 34:59) &#62; &nbsp; 

What can history teach us about technology and jobs?

<table width="633" border="0" cellspacing="0" cellpadding="0"> <tr> <td width="403" valign="top"> James Manyika of the McKinsey Global Institute and Matthew Taylor of the RSA discuss how new workplace trends such as automation, AI, and the gig economy are creating a need for policies that create not just jobs, but work that is more satisfying and meaningful. <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a313030303031633437313739766537326e3775&he=687474702533412532462532467777772e6d636b696e7365792e636f6d253246617373657473253246646f74636f6d2532464d47492d4675747572652d6f662d576f726b2d706f64636173742532464d47492d486f772d646f2d77652d6372656174652d6d65616e696e6766756c2d776f726b2d696e2d616e2d6167652d6f662d6175746f6d6174696f6e2e6d7033">Read more &#62;</a> <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a313030303031633437313739766537326e3775&he=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"> <img src="http://podcasts.mckinsey.com/x/img/podcast.gif" border="0"/></a>&nbsp;&nbsp; <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a313030303031633437313739766537326e3775&he=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"> Listen to the podcast (duration: 26:38) &#62; </td> <td width="16">&nbsp;</td> <td width="150"</td> </tr> </table><img src="http://podcasts.mckinsey.com/iop.gif?r=misc&s=_misc&i=lc%3A100001c47179ve72n7u" width="1" height="1" border="0"/>

 James Manyika of the McKinsey Global Institute and Matthew Taylor of the RSA discuss how new workplace trends such as automation, AI, and the gig economy are creating a need for policies that create not just jobs, but work that is more satisfying and meaningful. Read more &#62; &nbsp;&nbsp; Listen to the podcast (duration: 26:38) &#62; &nbsp; 

How do we create meaningful work in an age of automation?

<table width="633" border="0" cellspacing="0" cellpadding="0"> <tr> <td width="403" valign="top"> New technology has the potential to drastically change work. How can we prepare today for the shifts that are coming tomorrow? <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a3130303030316334366f307532387439677136&he=687474702533412532462532467777772e6d636b696e7365792e636f6d253246617373657473253246646f74636f6d2532464d47492d4675747572652d6f662d576f726b2d706f64636173742532464d47492d576861742d69732d7468652d6675747572652d6f662d776f726b2e6d7033">Read more &#62;</a> <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a3130303030316334366f307532387439677136&he=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"> <img src="http://podcasts.mckinsey.com/x/img/podcast.gif" border="0"/></a>&nbsp;&nbsp; <a href="http://podcasts.mckinsey.com/l?r=misc&s=_misc&i=6c633a3130303030316334366f307532387439677136&he=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"> Listen to the podcast (duration: 22:45) &#62; </td> <td width="16">&nbsp;</td> <td width="150"</td> </tr> </table><img src="http://podcasts.mckinsey.com/iop.gif?r=misc&s=_misc&i=lc%3A100001c46o0u28t9gq6" width="1" height="1" border="0"/>

 New technology has the potential to drastically change work. How can we prepare today for the shifts that are coming tomorrow? Read more &#62; &nbsp;&nbsp; Listen to the podcast (duration: 22:45) &#62; &nbsp; 

What is the future of work?

What is the future of work? The New World of Work explores how technologies like automation, robotics, and artificial intelligence are shaping how we work, where we work, and the skills and education we need to work. Featuring conversations with experts from the McKinsey Global Institute and thought leaders from the public and private sectors, this series will help business leaders, policymakers, and organizations understand what changes are afoot and how we can prepare today for a future that works.

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The New World of Work

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