1 99:59:59,999 --> 99:59:59,999 2014 is a very special year for me: 2 99:59:59,999 --> 99:59:59,999 20 years as a consultant, 3 99:59:59,999 --> 99:59:59,999 20 years of marriage, 4 99:59:59,999 --> 99:59:59,999 and I'm turning 50 in one month. 5 99:59:59,999 --> 99:59:59,999 That means I was born in 1964 6 99:59:59,999 --> 99:59:59,999 in a small town in Germany. 7 99:59:59,999 --> 99:59:59,999 It was a grey November day, 8 99:59:59,999 --> 99:59:59,999 and I was overdue. 9 99:59:59,999 --> 99:59:59,999 The hospital's maternity ward was really stressed out 10 99:59:59,999 --> 99:59:59,999 because a lot of babies were born 11 99:59:59,999 --> 99:59:59,999 on this grey November day. 12 99:59:59,999 --> 99:59:59,999 As a matter of fact, 1964 13 99:59:59,999 --> 99:59:59,999 was the year with the highest birth rate ever in Germany: 14 99:59:59,999 --> 99:59:59,999 more than 1.3 million. 15 99:59:59,999 --> 99:59:59,999 Last year, we just hit over 600,000, 16 99:59:59,999 --> 99:59:59,999 so half of my number. 17 99:59:59,999 --> 99:59:59,999 What you can see here 18 99:59:59,999 --> 99:59:59,999 is the German age pyramid, 19 99:59:59,999 --> 99:59:59,999 and there, the small black point at the top, that's me. 20 99:59:59,999 --> 99:59:59,999 (Laughter) (Applause) 21 99:59:59,999 --> 99:59:59,999 In red, you can see the potential working age population, 22 99:59:59,999 --> 99:59:59,999 so people over 15 and under 65, 23 99:59:59,999 --> 99:59:59,999 and I'm actually only interested 24 99:59:59,999 --> 99:59:59,999 in this red area. 25 99:59:59,999 --> 99:59:59,999 Now, let's do a simple simulation 26 99:59:59,999 --> 99:59:59,999 of how this age structure will develop 27 99:59:59,999 --> 99:59:59,999 over the next couple of years. 28 99:59:59,999 --> 99:59:59,999 As you can see, 29 99:59:59,999 --> 99:59:59,999 the peak is moving to the right, 30 99:59:59,999 --> 99:59:59,999 and I, with many other baby boomers, 31 99:59:59,999 --> 99:59:59,999 will retire in 2030. 32 99:59:59,999 --> 99:59:59,999 By the way, I don't need any forecasts 33 99:59:59,999 --> 99:59:59,999 of birth rates for predicting this red area. 34 99:59:59,999 --> 99:59:59,999 The red area, so the potential working age 35 99:59:59,999 --> 99:59:59,999 population in 2030 36 99:59:59,999 --> 99:59:59,999 is already set in stone today, 37 99:59:59,999 --> 99:59:59,999 except for much higher migration rates. 38 99:59:59,999 --> 99:59:59,999 And if you compare this red area in 2030 39 99:59:59,999 --> 99:59:59,999 with red area in 2040, 40 99:59:59,999 --> 99:59:59,999 it is much, much smaller. 41 99:59:59,999 --> 99:59:59,999 So before I show you the rest of the world, 42 99:59:59,999 --> 99:59:59,999 what does this mean for Germany? 43 99:59:59,999 --> 99:59:59,999 So what we know from this picture is that labor supply, 44 99:59:59,999 --> 99:59:59,999 so people who provide labor, 45 99:59:59,999 --> 99:59:59,999 will go down in Germany, and will go down significantly. 46 99:59:59,999 --> 99:59:59,999 Now, what about labor demand? 47 99:59:59,999 --> 99:59:59,999 That's where it gets tricky. 48 99:59:59,999 --> 99:59:59,999 As you might know, the consultant's 49 99:59:59,999 --> 99:59:59,999 favorite answer to any question is, 50 99:59:59,999 --> 99:59:59,999 "It depends." 51 99:59:59,999 --> 99:59:59,999 So I would say it depends. 52 99:59:59,999 --> 99:59:59,999 We didn't want to forecast the future. 53 99:59:59,999 --> 99:59:59,999 Highly speculative. 54 99:59:59,999 --> 99:59:59,999 We did something else. 55 99:59:59,999 --> 99:59:59,999 We looked at the GDP and productivity growth of Germany 56 99:59:59,999 --> 99:59:59,999 over the last 20 years 57 99:59:59,999 --> 99:59:59,999 and calculated the following scenario: 58 99:59:59,999 --> 99:59:59,999 if Germany wants to continue this GDP and productivity growth, 59 99:59:59,999 --> 99:59:59,999 we could directly calculate 60 99:59:59,999 --> 99:59:59,999 how many people Germany would need 61 99:59:59,999 --> 99:59:59,999 to support this growth. 62 99:59:59,999 --> 99:59:59,999 And this is the green line: labor demand. 63 99:59:59,999 --> 99:59:59,999 So Germany will run into a major 64 99:59:59,999 --> 99:59:59,999 talent shortage very quickly. 65 99:59:59,999 --> 99:59:59,999 Eight million people are missing, 66 99:59:59,999 --> 99:59:59,999 which is more than 20 percent of our current work force, 67 99:59:59,999 --> 99:59:59,999 so big numbers, really big numbers. 68 99:59:59,999 --> 99:59:59,999 And we calculated several scenarios, 69 99:59:59,999 --> 99:59:59,999 and the picture always looked like this. 70 99:59:59,999 --> 99:59:59,999 Now, to close the gap, 71 99:59:59,999 --> 99:59:59,999 Germany has to significantly 72 99:59:59,999 --> 99:59:59,999 increase migration, 73 99:59:59,999 --> 99:59:59,999 get many more women in the work force, 74 99:59:59,999 --> 99:59:59,999 increase retirement age. 75 99:59:59,999 --> 99:59:59,999 — by the way, we just lowered it this year — 76 99:59:59,999 --> 99:59:59,999 and all these measures at once. 77 99:59:59,999 --> 99:59:59,999 If Germany fails here, 78 99:59:59,999 --> 99:59:59,999 Germany will stagnate. 79 99:59:59,999 --> 99:59:59,999 We won't grow anymore. Why? 80 99:59:59,999 --> 99:59:59,999 Because the workers are not there who can generate this growth. 81 99:59:59,999 --> 99:59:59,999 And companies will look 82 99:59:59,999 --> 99:59:59,999 for talents somewhere else. 83 99:59:59,999 --> 99:59:59,999 But where? 84 99:59:59,999 --> 99:59:59,999 Now, we simulated labor supply 85 99:59:59,999 --> 99:59:59,999 and labor demand 86 99:59:59,999 --> 99:59:59,999 for the largest 15 economies in the world, 87 99:59:59,999 --> 99:59:59,999 representing more than 70 percent 88 99:59:59,999 --> 99:59:59,999 of world GDP, 89 99:59:59,999 --> 99:59:59,999 and the overall picture looks like this 90 99:59:59,999 --> 99:59:59,999 by 2020. 91 99:59:59,999 --> 99:59:59,999 Blue indicates a labor surplus, 92 99:59:59,999 --> 99:59:59,999 red indicates a labor shortfall, 93 99:59:59,999 --> 99:59:59,999 and grey are those countries which are borderline. 94 99:59:59,999 --> 99:59:59,999 So by 2020, we still see a labor surplus 95 99:59:59,999 --> 99:59:59,999 in some countries, 96 99:59:59,999 --> 99:59:59,999 like Italy, France, the U.S., 97 99:59:59,999 --> 99:59:59,999 but this picture will change 98 99:59:59,999 --> 99:59:59,999 dramatically by 2030. 99 99:59:59,999 --> 99:59:59,999 By 2030, we will face a global work force crisis 100 99:59:59,999 --> 99:59:59,999 in most of our largest economies, 101 99:59:59,999 --> 99:59:59,999 including three out of the four BRIC countries. 102 99:59:59,999 --> 99:59:59,999 China, with its former one-child policy, will be it, 103 99:59:59,999 --> 99:59:59,999 as well as Brazil and Russia. 104 99:59:59,999 --> 99:59:59,999 Now, to tell the truth, 105 99:59:59,999 --> 99:59:59,999 in reality, the situation 106 99:59:59,999 --> 99:59:59,999 will be even more challenging. 107 99:59:59,999 --> 99:59:59,999 What you can't see here are average numbers. 108 99:59:59,999 --> 99:59:59,999 We de-averaged them 109 99:59:59,999 --> 99:59:59,999 and broke them down 110 99:59:59,999 --> 99:59:59,999 to different skill levels, 111 99:59:59,999 --> 99:59:59,999 and what we found 112 99:59:59,999 --> 99:59:59,999 were even higher shortfalls 113 99:59:59,999 --> 99:59:59,999 for high-skilled people 114 99:59:59,999 --> 99:59:59,999 and a partial surplus 115 99:59:59,999 --> 99:59:59,999 for low-skilled workers. 116 99:59:59,999 --> 99:59:59,999 So on top of an overall labor shortage, 117 99:59:59,999 --> 99:59:59,999 we will face a big skill mismatch in the future, 118 99:59:59,999 --> 99:59:59,999 and this means huge challenges 119 99:59:59,999 --> 99:59:59,999 in terms of education, qualification, 120 99:59:59,999 --> 99:59:59,999 upskilling for governments and companies. 121 99:59:59,999 --> 99:59:59,999 Now, the next thing we looked into 122 99:59:59,999 --> 99:59:59,999 was robots, automation, technology. 123 99:59:59,999 --> 99:59:59,999 Will technology change this picture 124 99:59:59,999 --> 99:59:59,999 and boost productivity? 125 99:59:59,999 --> 99:59:59,999 Now, the short answer would be 126 99:59:59,999 --> 99:59:59,999 that our numbers already include 127 99:59:59,999 --> 99:59:59,999 a significant growth in productivity 128 99:59:59,999 --> 99:59:59,999 driven by technology. 129 99:59:59,999 --> 99:59:59,999 A long answer would go like this. 130 99:59:59,999 --> 99:59:59,999 Let's take Germany. 131 99:59:59,999 --> 99:59:59,999 The Germans have a certain reputation in the world 132 99:59:59,999 --> 99:59:59,999 when it comes to productivity. 133 99:59:59,999 --> 99:59:59,999 In the '90s, I worked in our Boston office 134 99:59:59,999 --> 99:59:59,999 for almost two years, 135 99:59:59,999 --> 99:59:59,999 and when I left, an old senior partner 136 99:59:59,999 --> 99:59:59,999 told me literally, 137 99:59:59,999 --> 99:59:59,999 "Send me more of these Germans, 138 99:59:59,999 --> 99:59:59,999 they work like machines." 139 99:59:59,999 --> 99:59:59,999 (Laughter) 140 99:59:59,999 --> 99:59:59,999 That was 1998. 141 99:59:59,999 --> 99:59:59,999 Sixteen years later, you'd probably say the opposite. 142 99:59:59,999 --> 99:59:59,999 "Send me more of these machines. 143 99:59:59,999 --> 99:59:59,999 They work like Germans." 144 99:59:59,999 --> 99:59:59,999 (Laughter) (Applause) 145 99:59:59,999 --> 99:59:59,999 Technology will replace 146 99:59:59,999 --> 99:59:59,999 a lot of jobs, regular jobs. 147 99:59:59,999 --> 99:59:59,999 Not only in the production industry, 148 99:59:59,999 --> 99:59:59,999 but even office workers are in jeopardy 149 99:59:59,999 --> 99:59:59,999 and might be replaced by robots, 150 99:59:59,999 --> 99:59:59,999 artificial intelligence, big data, or automation. 151 99:59:59,999 --> 99:59:59,999 So the key question is not 152 99:59:59,999 --> 99:59:59,999 if technology replaces some of these jobs, 153 99:59:59,999 --> 99:59:59,999 but when, how fast, and to what extent, 154 99:59:59,999 --> 99:59:59,999 or in other words, 155 99:59:59,999 --> 99:59:59,999 will technology help us 156 99:59:59,999 --> 99:59:59,999 to solve this global work force crisis? 157 99:59:59,999 --> 99:59:59,999 Yes and no. 158 99:59:59,999 --> 99:59:59,999 This is a more sophisticated version of "it depends." 159 99:59:59,999 --> 99:59:59,999 Let's take the automotive industry 160 99:59:59,999 --> 99:59:59,999 as an example, 161 99:59:59,999 --> 99:59:59,999 because there, more than 40 percent 162 99:59:59,999 --> 99:59:59,999 of industrial robots are already working 163 99:59:59,999 --> 99:59:59,999 and automation has already taken place. 164 99:59:59,999 --> 99:59:59,999 In 1980, less than 10 percent 165 99:59:59,999 --> 99:59:59,999 of the production cost of a car 166 99:59:59,999 --> 99:59:59,999 was caused by electronic parts. 167 99:59:59,999 --> 99:59:59,999 Today, this number is more than 30 percent 168 99:59:59,999 --> 99:59:59,999 and it will grow to more than 50 percent 169 99:59:59,999 --> 99:59:59,999 by 2030. 170 99:59:59,999 --> 99:59:59,999 And these new electronic parts 171 99:59:59,999 --> 99:59:59,999 and applications require new skills 172 99:59:59,999 --> 99:59:59,999 and have created a lot of new jobs, 173 99:59:59,999 --> 99:59:59,999 like the cognitive systems engineer 174 99:59:59,999 --> 99:59:59,999 who optimizes the interaction 175 99:59:59,999 --> 99:59:59,999 between driver and electronic system. 176 99:59:59,999 --> 99:59:59,999 In 1980, no one had the slightest clue 177 99:59:59,999 --> 99:59:59,999 that such a job would ever exist. 178 99:59:59,999 --> 99:59:59,999 As a matter of fact, the overall number of people 179 99:59:59,999 --> 99:59:59,999 involved in the production of a car 180 99:59:59,999 --> 99:59:59,999 has only changed slightly 181 99:59:59,999 --> 99:59:59,999 in the last decades, 182 99:59:59,999 --> 99:59:59,999 in spite of robots and automation. 183 99:59:59,999 --> 99:59:59,999 So what does this mean? 184 99:59:59,999 --> 99:59:59,999 Yes, technology will replace a lot of jobs, 185 99:59:59,999 --> 99:59:59,999 but we will also see a lot of new jobs 186 99:59:59,999 --> 99:59:59,999 and new skills on the horizon, 187 99:59:59,999 --> 99:59:59,999 and that means technology will worsen 188 99:59:59,999 --> 99:59:59,999 our overall skill mismatch. 189 99:59:59,999 --> 99:59:59,999 And this kind of de-averaging 190 99:59:59,999 --> 99:59:59,999 reveals the crucial challenge 191 99:59:59,999 --> 99:59:59,999 for governments and businesses. 192 99:59:59,999 --> 99:59:59,999 So people, high-skilled people, 193 99:59:59,999 --> 99:59:59,999 talents, will be the big thing 194 99:59:59,999 --> 99:59:59,999 in the next decade. 195 99:59:59,999 --> 99:59:59,999 If they are the scarce resource, 196 99:59:59,999 --> 99:59:59,999 we have to understand them much better. 197 99:59:59,999 --> 99:59:59,999 Are they actually willing to work abroad? 198 99:59:59,999 --> 99:59:59,999 What are their job preferences? 199 99:59:59,999 --> 99:59:59,999 To find out, this year we contacted 200 99:59:59,999 --> 99:59:59,999 a global survey 201 99:59:59,999 --> 99:59:59,999 among more than 200,000 job seekers 202 99:59:59,999 --> 99:59:59,999 from 189 countries. 203 99:59:59,999 --> 99:59:59,999 Migration is certainly one key measure 204 99:59:59,999 --> 99:59:59,999 to close a gap, at least in the short term, 205 99:59:59,999 --> 99:59:59,999 so we asked about mobility. 206 99:59:59,999 --> 99:59:59,999 More than 60 percent 207 99:59:59,999 --> 99:59:59,999 of these 200,000 job seekers 208 99:59:59,999 --> 99:59:59,999 are willing to work abroad, 209 99:59:59,999 --> 99:59:59,999 for me a surprisingly high number. 210 99:59:59,999 --> 99:59:59,999 If you look at the employees aged 21 to 30 211 99:59:59,999 --> 99:59:59,999 this number is even higher. 212 99:59:59,999 --> 99:59:59,999 If you split this number up by country, 213 99:59:59,999 --> 99:59:59,999 yes, the world is mobile, 214 99:59:59,999 --> 99:59:59,999 but only partly. 215 99:59:59,999 --> 99:59:59,999 The least mobile countries 216 99:59:59,999 --> 99:59:59,999 are Russia, Germany, and the U.S. 217 99:59:59,999 --> 99:59:59,999 Now, where would these people like to move to? 218 99:59:59,999 --> 99:59:59,999 Number seven is Australia, 219 99:59:59,999 --> 99:59:59,999 where 28 percent could imagine moving to. 220 99:59:59,999 --> 99:59:59,999 Then France, Switzerland, Germany, 221 99:59:59,999 --> 99:59:59,999 Canada, U.K., and top choice worldwide 222 99:59:59,999 --> 99:59:59,999 is the U.S. 223 99:59:59,999 --> 99:59:59,999 Now, what are the job preferences of these 200,000 people? 224 99:59:59,999 --> 99:59:59,999 So what are they looking for? 225 99:59:59,999 --> 99:59:59,999 Out of a list of 26 topics, 226 99:59:59,999 --> 99:59:59,999 salary is only number eight. 227 99:59:59,999 --> 99:59:59,999 The top four topics are all around culture: 228 99:59:59,999 --> 99:59:59,999 number four, 229 99:59:59,999 --> 99:59:59,999 having a great relationship with the boss; 230 99:59:59,999 --> 99:59:59,999 three, enjoying a great work-life balance; 231 99:59:59,999 --> 99:59:59,999 two, having a great relationship with colleagues; 232 99:59:59,999 --> 99:59:59,999 and top priority worldwide 233 99:59:59,999 --> 99:59:59,999 is being appreciated for your work. 234 99:59:59,999 --> 99:59:59,999 So do I get a thank you? 235 99:59:59,999 --> 99:59:59,999 Not only once a year 236 99:59:59,999 --> 99:59:59,999 with the annual bonus payment, 237 99:59:59,999 --> 99:59:59,999 but every day. 238 99:59:59,999 --> 99:59:59,999 And now, our global work force crisis 239 99:59:59,999 --> 99:59:59,999 becomes very personal. 240 99:59:59,999 --> 99:59:59,999 People are looking for recognition. 241 99:59:59,999 --> 99:59:59,999 Aren't we all looking for recognition 242 99:59:59,999 --> 99:59:59,999 in our jobs? 243 99:59:59,999 --> 99:59:59,999 Now, let me connect the dots. 244 99:59:59,999 --> 99:59:59,999 We will face a global work force crisis 245 99:59:59,999 --> 99:59:59,999 which consists of an overall labor shortage 246 99:59:59,999 --> 99:59:59,999 plus a huge skill mismatch 247 99:59:59,999 --> 99:59:59,999 plus a big cultural challenge. 248 99:59:59,999 --> 99:59:59,999 And this global work force crisis 249 99:59:59,999 --> 99:59:59,999 is approaching very fast. 250 99:59:59,999 --> 99:59:59,999 Right now, we are just at the turning point. 251 99:59:59,999 --> 99:59:59,999 So what can we, what can governments, 252 99:59:59,999 --> 99:59:59,999 what can companies do? 253 99:59:59,999 --> 99:59:59,999 Every company, 254 99:59:59,999 --> 99:59:59,999 but also every country, 255 99:59:59,999 --> 99:59:59,999 needs a people strategy, 256 99:59:59,999 --> 99:59:59,999 and act on it immediately, 257 99:59:59,999 --> 99:59:59,999 and such a people strategy consists 258 99:59:59,999 --> 99:59:59,999 out of four parts. 259 99:59:59,999 --> 99:59:59,999 Number one, a plan 260 99:59:59,999 --> 99:59:59,999 for how to forecast supply and demand 261 99:59:59,999 --> 99:59:59,999 for different jobs and different skills. 262 99:59:59,999 --> 99:59:59,999 Work force planning 263 99:59:59,999 --> 99:59:59,999 will become more important than financial planning. 264 99:59:59,999 --> 99:59:59,999 Two, a plan for how to attract great people: 265 99:59:59,999 --> 99:59:59,999 generation Y, women, but also retirees. 266 99:59:59,999 --> 99:59:59,999 Three, a plan for how to educate 267 99:59:59,999 --> 99:59:59,999 and upskill them. 268 99:59:59,999 --> 99:59:59,999 There's a huge upskilling challenge 269 99:59:59,999 --> 99:59:59,999 ahead of us. 270 99:59:59,999 --> 99:59:59,999 And four, 271 99:59:59,999 --> 99:59:59,999 for how to retain the best people, 272 99:59:59,999 --> 99:59:59,999 or in other words, 273 99:59:59,999 --> 99:59:59,999 how to realize an appreciation 274 99:59:59,999 --> 99:59:59,999 and relationship culture. 275 99:59:59,999 --> 99:59:59,999 However, one crucial underlying factor 276 99:59:59,999 --> 99:59:59,999 is to change our attitudes. 277 99:59:59,999 --> 99:59:59,999 Employees are resources, are assets, 278 99:59:59,999 --> 99:59:59,999 not costs, not head counts, 279 99:59:59,999 --> 99:59:59,999 not machines, not even the Germans. 280 99:59:59,999 --> 99:59:59,999 Thank you. 281 99:59:59,999 --> 99:59:59,999 (Applause)