WEBVTT 99:59:59.999 --> 99:59:59.999 2014 is a very special year for me: 99:59:59.999 --> 99:59:59.999 20 years as a consultant, 99:59:59.999 --> 99:59:59.999 20 years of marriage, 99:59:59.999 --> 99:59:59.999 and I'm turning 50 in one month. 99:59:59.999 --> 99:59:59.999 That means I was born in 1964 99:59:59.999 --> 99:59:59.999 in a small town in Germany. 99:59:59.999 --> 99:59:59.999 It was a grey November day, 99:59:59.999 --> 99:59:59.999 and I was overdue. 99:59:59.999 --> 99:59:59.999 The hospital's maternity ward was really stressed out 99:59:59.999 --> 99:59:59.999 because a lot of babies were born 99:59:59.999 --> 99:59:59.999 on this grey November day. 99:59:59.999 --> 99:59:59.999 As a matter of fact, 1964 99:59:59.999 --> 99:59:59.999 was the year with the highest birth rate ever in Germany: 99:59:59.999 --> 99:59:59.999 more than 1.3 million. 99:59:59.999 --> 99:59:59.999 Last year, we just hit over 600,000, 99:59:59.999 --> 99:59:59.999 so half of my number. 99:59:59.999 --> 99:59:59.999 What you can see here 99:59:59.999 --> 99:59:59.999 is the German age pyramid, 99:59:59.999 --> 99:59:59.999 and there, the small black point at the top, that's me. 99:59:59.999 --> 99:59:59.999 (Laughter) (Applause) 99:59:59.999 --> 99:59:59.999 In red, you can see the potential working age population, 99:59:59.999 --> 99:59:59.999 so people over 15 and under 65, 99:59:59.999 --> 99:59:59.999 and I'm actually only interested 99:59:59.999 --> 99:59:59.999 in this red area. 99:59:59.999 --> 99:59:59.999 Now, let's do a simple simulation 99:59:59.999 --> 99:59:59.999 of how this age structure will develop 99:59:59.999 --> 99:59:59.999 over the next couple of years. 99:59:59.999 --> 99:59:59.999 As you can see, 99:59:59.999 --> 99:59:59.999 the peak is moving to the right, 99:59:59.999 --> 99:59:59.999 and I, with many other baby boomers, 99:59:59.999 --> 99:59:59.999 will retire in 2030. 99:59:59.999 --> 99:59:59.999 By the way, I don't need any forecasts 99:59:59.999 --> 99:59:59.999 of birth rates for predicting this red area. 99:59:59.999 --> 99:59:59.999 The red area, so the potential working age 99:59:59.999 --> 99:59:59.999 population in 2030 99:59:59.999 --> 99:59:59.999 is already set in stone today, 99:59:59.999 --> 99:59:59.999 except for much higher migration rates. 99:59:59.999 --> 99:59:59.999 And if you compare this red area in 2030 99:59:59.999 --> 99:59:59.999 with red area in 2040, 99:59:59.999 --> 99:59:59.999 it is much, much smaller. 99:59:59.999 --> 99:59:59.999 So before I show you the rest of the world, 99:59:59.999 --> 99:59:59.999 what does this mean for Germany? 99:59:59.999 --> 99:59:59.999 So what we know from this picture is that labor supply, 99:59:59.999 --> 99:59:59.999 so people who provide labor, 99:59:59.999 --> 99:59:59.999 will go down in Germany, and will go down significantly. 99:59:59.999 --> 99:59:59.999 Now, what about labor demand? 99:59:59.999 --> 99:59:59.999 That's where it gets tricky. 99:59:59.999 --> 99:59:59.999 As you might know, the consultant's 99:59:59.999 --> 99:59:59.999 favorite answer to any question is, 99:59:59.999 --> 99:59:59.999 "It depends." 99:59:59.999 --> 99:59:59.999 So I would say it depends. 99:59:59.999 --> 99:59:59.999 We didn't want to forecast the future. 99:59:59.999 --> 99:59:59.999 Highly speculative. 99:59:59.999 --> 99:59:59.999 We did something else. 99:59:59.999 --> 99:59:59.999 We looked at the GDP and productivity growth of Germany 99:59:59.999 --> 99:59:59.999 over the last 20 years 99:59:59.999 --> 99:59:59.999 and calculated the following scenario: 99:59:59.999 --> 99:59:59.999 if Germany wants to continue this GDP and productivity growth, 99:59:59.999 --> 99:59:59.999 we could directly calculate 99:59:59.999 --> 99:59:59.999 how many people Germany would need 99:59:59.999 --> 99:59:59.999 to support this growth. 99:59:59.999 --> 99:59:59.999 And this is the green line: labor demand. 99:59:59.999 --> 99:59:59.999 So Germany will run into a major 99:59:59.999 --> 99:59:59.999 talent shortage very quickly. 99:59:59.999 --> 99:59:59.999 Eight million people are missing, 99:59:59.999 --> 99:59:59.999 which is more than 20 percent of our current work force, 99:59:59.999 --> 99:59:59.999 so big numbers, really big numbers. 99:59:59.999 --> 99:59:59.999 And we calculated several scenarios, 99:59:59.999 --> 99:59:59.999 and the picture always looked like this. 99:59:59.999 --> 99:59:59.999 Now, to close the gap, 99:59:59.999 --> 99:59:59.999 Germany has to significantly 99:59:59.999 --> 99:59:59.999 increase migration, 99:59:59.999 --> 99:59:59.999 get many more women in the work force, 99:59:59.999 --> 99:59:59.999 increase retirement age. 99:59:59.999 --> 99:59:59.999 — by the way, we just lowered it this year — 99:59:59.999 --> 99:59:59.999 and all these measures at once. 99:59:59.999 --> 99:59:59.999 If Germany fails here, 99:59:59.999 --> 99:59:59.999 Germany will stagnate. 99:59:59.999 --> 99:59:59.999 We won't grow anymore. Why? 99:59:59.999 --> 99:59:59.999 Because the workers are not there who can generate this growth. 99:59:59.999 --> 99:59:59.999 And companies will look 99:59:59.999 --> 99:59:59.999 for talents somewhere else. 99:59:59.999 --> 99:59:59.999 But where? 99:59:59.999 --> 99:59:59.999 Now, we simulated labor supply 99:59:59.999 --> 99:59:59.999 and labor demand 99:59:59.999 --> 99:59:59.999 for the largest 15 economies in the world, 99:59:59.999 --> 99:59:59.999 representing more than 70 percent 99:59:59.999 --> 99:59:59.999 of world GDP, 99:59:59.999 --> 99:59:59.999 and the overall picture looks like this 99:59:59.999 --> 99:59:59.999 by 2020. 99:59:59.999 --> 99:59:59.999 Blue indicates a labor surplus, 99:59:59.999 --> 99:59:59.999 red indicates a labor shortfall, 99:59:59.999 --> 99:59:59.999 and grey are those countries which are borderline. 99:59:59.999 --> 99:59:59.999 So by 2020, we still see a labor surplus 99:59:59.999 --> 99:59:59.999 in some countries, 99:59:59.999 --> 99:59:59.999 like Italy, France, the U.S., 99:59:59.999 --> 99:59:59.999 but this picture will change 99:59:59.999 --> 99:59:59.999 dramatically by 2030. 99:59:59.999 --> 99:59:59.999 By 2030, we will face a global work force crisis 99:59:59.999 --> 99:59:59.999 in most of our largest economies, 99:59:59.999 --> 99:59:59.999 including three out of the four BRIC countries. 99:59:59.999 --> 99:59:59.999 China, with its former one-child policy, will be it, 99:59:59.999 --> 99:59:59.999 as well as Brazil and Russia. 99:59:59.999 --> 99:59:59.999 Now, to tell the truth, 99:59:59.999 --> 99:59:59.999 in reality, the situation 99:59:59.999 --> 99:59:59.999 will be even more challenging. 99:59:59.999 --> 99:59:59.999 What you can't see here are average numbers. 99:59:59.999 --> 99:59:59.999 We de-averaged them 99:59:59.999 --> 99:59:59.999 and broke them down 99:59:59.999 --> 99:59:59.999 to different skill levels, 99:59:59.999 --> 99:59:59.999 and what we found 99:59:59.999 --> 99:59:59.999 were even higher shortfalls 99:59:59.999 --> 99:59:59.999 for high-skilled people 99:59:59.999 --> 99:59:59.999 and a partial surplus 99:59:59.999 --> 99:59:59.999 for low-skilled workers. 99:59:59.999 --> 99:59:59.999 So on top of an overall labor shortage, 99:59:59.999 --> 99:59:59.999 we will face a big skill mismatch in the future, 99:59:59.999 --> 99:59:59.999 and this means huge challenges 99:59:59.999 --> 99:59:59.999 in terms of education, qualification, 99:59:59.999 --> 99:59:59.999 upskilling for governments and companies. 99:59:59.999 --> 99:59:59.999 Now, the next thing we looked into 99:59:59.999 --> 99:59:59.999 was robots, automation, technology. 99:59:59.999 --> 99:59:59.999 Will technology change this picture 99:59:59.999 --> 99:59:59.999 and boost productivity? 99:59:59.999 --> 99:59:59.999 Now, the short answer would be 99:59:59.999 --> 99:59:59.999 that our numbers already include 99:59:59.999 --> 99:59:59.999 a significant growth in productivity 99:59:59.999 --> 99:59:59.999 driven by technology. 99:59:59.999 --> 99:59:59.999 A long answer would go like this. 99:59:59.999 --> 99:59:59.999 Let's take Germany. 99:59:59.999 --> 99:59:59.999 The Germans have a certain reputation in the world 99:59:59.999 --> 99:59:59.999 when it comes to productivity. 99:59:59.999 --> 99:59:59.999 In the '90s, I worked in our Boston office 99:59:59.999 --> 99:59:59.999 for almost two years, 99:59:59.999 --> 99:59:59.999 and when I left, an old senior partner 99:59:59.999 --> 99:59:59.999 told me literally, 99:59:59.999 --> 99:59:59.999 "Send me more of these Germans, 99:59:59.999 --> 99:59:59.999 they work like machines." 99:59:59.999 --> 99:59:59.999 (Laughter) 99:59:59.999 --> 99:59:59.999 That was 1998. 99:59:59.999 --> 99:59:59.999 Sixteen years later, you'd probably say the opposite. 99:59:59.999 --> 99:59:59.999 "Send me more of these machines. 99:59:59.999 --> 99:59:59.999 They work like Germans." 99:59:59.999 --> 99:59:59.999 (Laughter) (Applause) 99:59:59.999 --> 99:59:59.999 Technology will replace 99:59:59.999 --> 99:59:59.999 a lot of jobs, regular jobs. 99:59:59.999 --> 99:59:59.999 Not only in the production industry, 99:59:59.999 --> 99:59:59.999 but even office workers are in jeopardy 99:59:59.999 --> 99:59:59.999 and might be replaced by robots, 99:59:59.999 --> 99:59:59.999 artificial intelligence, big data, or automation. 99:59:59.999 --> 99:59:59.999 So the key question is not 99:59:59.999 --> 99:59:59.999 if technology replaces some of these jobs, 99:59:59.999 --> 99:59:59.999 but when, how fast, and to what extent, 99:59:59.999 --> 99:59:59.999 or in other words, 99:59:59.999 --> 99:59:59.999 will technology help us 99:59:59.999 --> 99:59:59.999 to solve this global work force crisis? 99:59:59.999 --> 99:59:59.999 Yes and no. 99:59:59.999 --> 99:59:59.999 This is a more sophisticated version of "it depends." 99:59:59.999 --> 99:59:59.999 Let's take the automotive industry 99:59:59.999 --> 99:59:59.999 as an example, 99:59:59.999 --> 99:59:59.999 because there, more than 40 percent 99:59:59.999 --> 99:59:59.999 of industrial robots are already working 99:59:59.999 --> 99:59:59.999 and automation has already taken place. 99:59:59.999 --> 99:59:59.999 In 1980, less than 10 percent 99:59:59.999 --> 99:59:59.999 of the production cost of a car 99:59:59.999 --> 99:59:59.999 was caused by electronic parts. 99:59:59.999 --> 99:59:59.999 Today, this number is more than 30 percent 99:59:59.999 --> 99:59:59.999 and it will grow to more than 50 percent 99:59:59.999 --> 99:59:59.999 by 2030. 99:59:59.999 --> 99:59:59.999 And these new electronic parts 99:59:59.999 --> 99:59:59.999 and applications require new skills 99:59:59.999 --> 99:59:59.999 and have created a lot of new jobs, 99:59:59.999 --> 99:59:59.999 like the cognitive systems engineer 99:59:59.999 --> 99:59:59.999 who optimizes the interaction 99:59:59.999 --> 99:59:59.999 between driver and electronic system. 99:59:59.999 --> 99:59:59.999 In 1980, no one had the slightest clue 99:59:59.999 --> 99:59:59.999 that such a job would ever exist. 99:59:59.999 --> 99:59:59.999 As a matter of fact, the overall number of people 99:59:59.999 --> 99:59:59.999 involved in the production of a car 99:59:59.999 --> 99:59:59.999 has only changed slightly 99:59:59.999 --> 99:59:59.999 in the last decades, 99:59:59.999 --> 99:59:59.999 in spite of robots and automation. 99:59:59.999 --> 99:59:59.999 So what does this mean? 99:59:59.999 --> 99:59:59.999 Yes, technology will replace a lot of jobs, 99:59:59.999 --> 99:59:59.999 but we will also see a lot of new jobs 99:59:59.999 --> 99:59:59.999 and new skills on the horizon, 99:59:59.999 --> 99:59:59.999 and that means technology will worsen 99:59:59.999 --> 99:59:59.999 our overall skill mismatch. 99:59:59.999 --> 99:59:59.999 And this kind of de-averaging 99:59:59.999 --> 99:59:59.999 reveals the crucial challenge 99:59:59.999 --> 99:59:59.999 for governments and businesses. 99:59:59.999 --> 99:59:59.999 So people, high-skilled people, 99:59:59.999 --> 99:59:59.999 talents, will be the big thing 99:59:59.999 --> 99:59:59.999 in the next decade. 99:59:59.999 --> 99:59:59.999 If they are the scarce resource, 99:59:59.999 --> 99:59:59.999 we have to understand them much better. 99:59:59.999 --> 99:59:59.999 Are they actually willing to work abroad? 99:59:59.999 --> 99:59:59.999 What are their job preferences? 99:59:59.999 --> 99:59:59.999 To find out, this year we contacted 99:59:59.999 --> 99:59:59.999 a global survey 99:59:59.999 --> 99:59:59.999 among more than 200,000 job seekers 99:59:59.999 --> 99:59:59.999 from 189 countries. 99:59:59.999 --> 99:59:59.999 Migration is certainly one key measure 99:59:59.999 --> 99:59:59.999 to close a gap, at least in the short term, 99:59:59.999 --> 99:59:59.999 so we asked about mobility. 99:59:59.999 --> 99:59:59.999 More than 60 percent 99:59:59.999 --> 99:59:59.999 of these 200,000 job seekers 99:59:59.999 --> 99:59:59.999 are willing to work abroad, 99:59:59.999 --> 99:59:59.999 for me a surprisingly high number. 99:59:59.999 --> 99:59:59.999 If you look at the employees aged 21 to 30 99:59:59.999 --> 99:59:59.999 this number is even higher. 99:59:59.999 --> 99:59:59.999 If you split this number up by country, 99:59:59.999 --> 99:59:59.999 yes, the world is mobile, 99:59:59.999 --> 99:59:59.999 but only partly. 99:59:59.999 --> 99:59:59.999 The least mobile countries 99:59:59.999 --> 99:59:59.999 are Russia, Germany, and the U.S. 99:59:59.999 --> 99:59:59.999 Now, where would these people like to move to? 99:59:59.999 --> 99:59:59.999 Number seven is Australia, 99:59:59.999 --> 99:59:59.999 where 28 percent could imagine moving to. 99:59:59.999 --> 99:59:59.999 Then France, Switzerland, Germany, 99:59:59.999 --> 99:59:59.999 Canada, U.K., and top choice worldwide 99:59:59.999 --> 99:59:59.999 is the U.S. 99:59:59.999 --> 99:59:59.999 Now, what are the job preferences of these 200,000 people? 99:59:59.999 --> 99:59:59.999 So what are they looking for? 99:59:59.999 --> 99:59:59.999 Out of a list of 26 topics, 99:59:59.999 --> 99:59:59.999 salary is only number eight. 99:59:59.999 --> 99:59:59.999 The top four topics are all around culture: 99:59:59.999 --> 99:59:59.999 number four, 99:59:59.999 --> 99:59:59.999 having a great relationship with the boss; 99:59:59.999 --> 99:59:59.999 three, enjoying a great work-life balance; 99:59:59.999 --> 99:59:59.999 two, having a great relationship with colleagues; 99:59:59.999 --> 99:59:59.999 and top priority worldwide 99:59:59.999 --> 99:59:59.999 is being appreciated for your work. 99:59:59.999 --> 99:59:59.999 So do I get a thank you? 99:59:59.999 --> 99:59:59.999 Not only once a year 99:59:59.999 --> 99:59:59.999 with the annual bonus payment, 99:59:59.999 --> 99:59:59.999 but every day. 99:59:59.999 --> 99:59:59.999 And now, our global work force crisis 99:59:59.999 --> 99:59:59.999 becomes very personal. 99:59:59.999 --> 99:59:59.999 People are looking for recognition. 99:59:59.999 --> 99:59:59.999 Aren't we all looking for recognition 99:59:59.999 --> 99:59:59.999 in our jobs? 99:59:59.999 --> 99:59:59.999 Now, let me connect the dots. 99:59:59.999 --> 99:59:59.999 We will face a global work force crisis 99:59:59.999 --> 99:59:59.999 which consists of an overall labor shortage 99:59:59.999 --> 99:59:59.999 plus a huge skill mismatch 99:59:59.999 --> 99:59:59.999 plus a big cultural challenge. 99:59:59.999 --> 99:59:59.999 And this global work force crisis 99:59:59.999 --> 99:59:59.999 is approaching very fast. 99:59:59.999 --> 99:59:59.999 Right now, we are just at the turning point. 99:59:59.999 --> 99:59:59.999 So what can we, what can governments, 99:59:59.999 --> 99:59:59.999 what can companies do? 99:59:59.999 --> 99:59:59.999 Every company, 99:59:59.999 --> 99:59:59.999 but also every country, 99:59:59.999 --> 99:59:59.999 needs a people strategy, 99:59:59.999 --> 99:59:59.999 and act on it immediately, 99:59:59.999 --> 99:59:59.999 and such a people strategy consists 99:59:59.999 --> 99:59:59.999 out of four parts. 99:59:59.999 --> 99:59:59.999 Number one, a plan 99:59:59.999 --> 99:59:59.999 for how to forecast supply and demand 99:59:59.999 --> 99:59:59.999 for different jobs and different skills. 99:59:59.999 --> 99:59:59.999 Work force planning 99:59:59.999 --> 99:59:59.999 will become more important than financial planning. 99:59:59.999 --> 99:59:59.999 Two, a plan for how to attract great people: 99:59:59.999 --> 99:59:59.999 generation Y, women, but also retirees. 99:59:59.999 --> 99:59:59.999 Three, a plan for how to educate 99:59:59.999 --> 99:59:59.999 and upskill them. 99:59:59.999 --> 99:59:59.999 There's a huge upskilling challenge 99:59:59.999 --> 99:59:59.999 ahead of us. 99:59:59.999 --> 99:59:59.999 And four, 99:59:59.999 --> 99:59:59.999 for how to retain the best people, 99:59:59.999 --> 99:59:59.999 or in other words, 99:59:59.999 --> 99:59:59.999 how to realize an appreciation 99:59:59.999 --> 99:59:59.999 and relationship culture. 99:59:59.999 --> 99:59:59.999 However, one crucial underlying factor 99:59:59.999 --> 99:59:59.999 is to change our attitudes. 99:59:59.999 --> 99:59:59.999 Employees are resources, are assets, 99:59:59.999 --> 99:59:59.999 not costs, not head counts, 99:59:59.999 --> 99:59:59.999 not machines, not even the Germans. 99:59:59.999 --> 99:59:59.999 Thank you. 99:59:59.999 --> 99:59:59.999 (Applause)