Jakson E 769 — Talent Without Recycling: The European Scale-Up Question, Part 4 täydellinen litterointi

00:05:13.545 management as headcount goes from 50 to 500, surviving the specific boards and 00:05:13.545 --> 00:05:17.258 governance dynamics of a CSC or CSD round. 00:05:18.054 --> 00:05:23.168 That knowledge is not taught academically. It is not sitting in textbook. 00:05:23.539 --> 00:05:28.474 It is largely accumulated through direct exposure to high growth environments, 00:05:28.822 --> 00:05:33.181 through actually doing it at scale with a real company. 00:05:33.559 --> 00:05:37.802 You cannot mint that knowledge at, for example, university. 00:05:38.156 --> 00:05:42.509 You cannot hire your way around a market that has too little of it. 00:05:43.426 --> 00:05:50.084 So the right question about European scale-up talent is not how many engineers Europe produces, it is 00:05:50.433 --> 00:05:56.644 how much scaling experience Europe has managed to accumulate and critically, 00:05:56.957 --> 00:06:02.907 whether that experience recycles back into the ecosystem or actually leaks out of it. 00:06:04.771 --> 00:06:06.605 Experience density. 00:06:07.783 --> 00:06:12.015 Call the resource experience density. 00:06:12.421 --> 00:06:16.804 This is a startup rate.io framing, not a single published metric, 00:06:17.123 --> 00:06:21.453 but it's grounded in the evidence we are about to walk you through. 00:06:22.057 --> 00:06:27.578 Experience density is the concentration within an ecosystem of operators who 00:06:27.578 --> 00:06:34.497 have managed the 50 to 500 plus employee growth phase of a technology company. 00:06:34.904 --> 00:06:39.048 A city can have thousands of engineers and still lack the handful of people 00:06:39.408 --> 00:06:42.170 who know how to build a revenue operations function, 00:06:42.681 --> 00:06:47.145 run a multi-market launch, manage a board through a down round, 00:06:47.319 --> 00:06:52.811 or restructure a go-to-market motion when the first one hits a ceiling. 00:06:53.403 --> 00:06:57.977 That handful of people is what a scaling company actually competes for. 00:06:58.378 --> 00:07:03.508 No junior engineering headcount, no general managers imported from unrelated 00:07:03.508 --> 00:07:05.838 industries, specifically the people 00:07:05.838 --> 00:07:10.348 who have already done the thing the scaling company is trying to do. 00:07:10.887 --> 00:07:15.508 If you are a European scale-up trying to hire your first VP of revenue, 00:07:15.787 --> 00:07:20.548 your first international general manager, your first head of customer success 00:07:20.888 --> 00:07:25.702 scale, you are not competing for talent that it scares in general. 00:07:26.532 --> 00:07:30.926 You're competing for talent that is scarce in your city, in your language, 00:07:31.217 --> 00:07:35.414 in your regulatory environment, and in your investor network. 00:07:35.739 --> 00:07:37.677 Experience density. 00:07:38.333 --> 00:07:42.948 The point of the concept is that it explains why headcount statistics can look 00:07:42.948 --> 00:07:45.768 great while scaling continues to be hard. 00:07:46.099 --> 00:07:53.849 Raw talent grows linearly with time. Experience density grows non-linearly. 00:07:54.174 --> 00:07:59.838 It grows through the actual creation and scaling of companies and it grows faster 00:07:59.838 --> 00:08:04.708 in places where past scale-ups have concentrated their alumni. 00:08:05.068 --> 00:08:08.657 That is the framing. Now the evidence for how it is created. 00:08:10.295 --> 00:08:16.380 The recycling mechanism the academic mechanism that explains how experience 00:08:16.380 --> 00:08:21.551 density gets created is called entrepreneurial spawning, 00:08:22.109 --> 00:08:30.108 a landmark 2003 nber working paper published in the journal of finance in 2005, 00:08:30.880 --> 00:08:38.230 paul gompers josh lerner and david schafstein showed that venture-backed firms 00:08:38.230 --> 00:08:43.411 and public firms in entrepreneurial regions act as a source of new ventures. 00:08:43.718 --> 00:08:49.370 They call these firms training grounds, places where future founders learn to 00:08:49.370 --> 00:08:54.487 raise capital, build executive teams, and run high-growth operations. 00:08:54.812 --> 00:09:00.460 The mechanism is not mysterious. People who watch a scaling company succeed 00:09:00.704 --> 00:09:03.751 learn what success actually looks like. 00:09:04.135 --> 00:09:07.612 People who help build one learn how to build one. 00:09:09.051 --> 00:09:13.330 Then they leave and try themselves. 10 years later, 00:09:13.835 --> 00:09:19.518 in 2013, researchers at Maastricht University published the following work in 00:09:19.518 --> 00:09:27.024 small business economics using a Dutch cohort from 1999 to 2004. 00:09:27.494 --> 00:09:32.730 They found something important. Ventures spawned from well-performing firms 00:09:33.043 --> 00:09:36.067 tended to perform better financially themselves. 00:09:36.432 --> 00:09:41.564 The knowledge that transfers from a successful scale-up is not just how to run a company. 00:09:41.947 --> 00:09:48.228 It's specifically how to run a company that works. There is quality inheritance. 00:09:48.930 --> 00:09:54.799 The implication is direct and it changes how you should think about scale-up policy. 00:09:55.107 --> 00:09:59.398 Successful scale-ups are not just companies. They're institutions that train 00:09:59.398 --> 00:10:01.707 the next generation of founders and operators. 00:10:02.918 --> 00:10:07.036 If the ecosystem lets that experience recycle locally, 00:10:07.530 --> 00:10:12.870 the word to emphasize here is locally, because if the experience recycles, 00:10:13.230 --> 00:10:18.238 but it recycles in a different city, a different country, the original ecosystem 00:10:18.238 --> 00:10:21.386 does not compound founder factories. 00:10:22.163 --> 00:10:29.042 Now, here is what makes this a live European story rather than a theoretical one. 00:10:29.582 --> 00:10:34.068 The recycling is now measurable. It is happening and the data is public.

00:10:34.671 --> 00:10:39.205 Dealroom and Excel run an ongoing series called Founder Factories. 00:10:39.559 --> 00:10:48.342 Their 2026 update maps how alumni of European and Israeli scale-ups go on to start companies. 00:10:48.551 --> 00:10:54.385 The headline number, over 400 European and Israeli unicorns have produced more 00:10:54.385 --> 00:10:59.418 than 2,300 startups founded by their alumni. 00:10:59.656 --> 00:11:01.972 2,300, that's impressive. 00:11:02.367 --> 00:11:04.759 That's not a projection, that's a count. 00:11:05.246 --> 00:11:11.585 Germany specifically punches above its weight in D-Room and Excel's 2025 ranking 00:11:11.852 --> 00:11:15.986 of founder factories, three Berlin companies placed in Europe's top 10. 00:11:16.345 --> 00:11:22.888 Zalando alumni founded 56 venture-backed startups, deliver Hero alumni, 00:11:23.213 --> 00:11:28.844 43, and N26 alumni, 34, three companies, one city, 00:11:29.267 --> 00:11:32.627 133 second-generation startups, 00:11:33.097 --> 00:11:34.745 and the effect is local. 00:11:35.125 --> 00:11:41.695 In Dealroom and Excel's 2022 analysis, 56% of companies created by former Unicorn 00:11:41.695 --> 00:11:47.082 employees were founded in the same city where the alumni gained the experience. 00:11:47.430 --> 00:11:53.038 Berlin specifically showed roughly 70% local retention. 00:11:53.397 --> 00:11:58.735 So when scale-up alumni start their next thing, more than half of them start 00:11:58.735 --> 00:12:03.074 in the city where they earned the experience. Experience, once created, 00:12:03.330 --> 00:12:05.106 tends to stay where it was earned. 00:12:05.600 --> 00:12:11.465 That is why concentration compounds. Berlin is more Berlin next year because 00:12:11.465 --> 00:12:13.105 of what But then what's this here? 00:12:14.563 --> 00:12:18.221 That is a very different picture from Europe Lags Talent. 00:12:18.604 --> 00:12:23.018 That is a picture of specific European cities becoming denser and denser with 00:12:23.018 --> 00:12:25.384 people who know how to scale. 00:12:27.404 --> 00:12:34.438 The Operator Pool. How deep is Europe's Operator Bench? Atomico data again. 00:12:35.157 --> 00:12:41.545 As of 2024, more than 12,000 tech professionals in Europe held senior leadership 00:12:41.545 --> 00:12:44.753 experience at billion-dollar-plus technology companies. 00:12:45.091 --> 00:12:46.495 That is the pool of people who 00:12:46.495 --> 00:12:52.450 have been VP, C-level or senior director inside a company that made it. 00:12:52.990 --> 00:12:57.768 Almost one-third of them worked for US tech giants at some point. 00:12:58.110 --> 00:13:02.273 Think Google, Meta, Amazon, Salesforce and the equivalents. 00:13:02.557 --> 00:13:05.941 So, Europe is not just producing its own senior new operator, 00:13:06.243 --> 00:13:11.264 it is also importing back operators who train to the US ecosystem. 00:13:11.794 --> 00:13:17.737 12,000 plus senior tech leaders across Europe. Meaningful, growing and real. 00:13:18.185 --> 00:13:23.443 But, and this is Startup Radio's interpretation, not a directly measured claim, 00:13:23.716 --> 00:13:28.415 that pool is unevenly distributed. It is not evenly spread across all European 00:13:28.415 --> 00:13:30.838 cities and all technology sectors. 00:13:31.209 --> 00:13:35.955 The founder factory clustering data supports the direction. Senior operators 00:13:35.955 --> 00:13:38.732 concentration follows scale-up concentration. 00:13:39.133 --> 00:13:43.620 Berlin has more experience density than Frankfurt. Paris has more than Marseille. 00:13:43.910 --> 00:13:47.562 Stockholm has more than most of southern Europe combined. 00:13:47.916 --> 00:13:52.265 Which means that when we talk about Europe's scaling capacity, 00:13:52.605 --> 00:13:55.631 we should not talk about its number for the whole continent. 00:13:55.828 --> 00:13:58.423 It is a function of specific cities 00:13:58.614 --> 00:14:03.520 that have concentrated experience and cities that simply do not have. 00:14:03.642 --> 00:14:05.645 Germany's management context. 00:14:06.503 --> 00:14:10.485 And now a note on Germany specifically, because Germany is the largest economy 00:14:10.485 --> 00:14:14.247 in this conversation, and the pattern here is often misread. 00:14:14.694 --> 00:14:19.785 Germany's industrial and Mittelstands management is genuinely world-class. 00:14:20.093 --> 00:14:24.005 Any honest analysis of European industry has to concede that, 00:14:24.005 --> 00:14:29.125 but, and this is the key distinction, Germany's industrial management is optimized 00:14:29.125 --> 00:14:32.555 for a different problem than venture-scale hypergrowth. 00:14:33.797 --> 00:14:40.296 Industrial management excels at process optimization, risk minimization, 00:14:40.296 --> 00:14:44.902 quality control, long production runs, and stability across decades. 00:14:45.210 --> 00:14:50.608 Venture hypergrowth demands something different. Execution under acute instability. 00:14:50.951 --> 00:14:52.803 Tolerance for iteration. 00:14:53.203 --> 00:14:57.969 Comfort operating without proven templates. And rapid cost correction. 00:14:58.405 --> 00:15:04.786 These are not the same skill sets. this is a difference not a deficiency but 00:15:04.786 --> 00:15:09.256 it means that when a German deep tech company hits the scaling phase it cannot 00:15:09.256 --> 00:15:11.446 simply hire experienced industrial manager 00:15:11.846 --> 00:15:17.556 into scale up executive roles and expect the same performance the two disciplines 00:15:17.556 --> 00:15:21.793 are distinct and deep text scaling needs the second one 00:15:22.228 --> 00:15:28.556 which the region has historically had less of this is a quality assessment I'm 00:15:28.556 --> 00:15:33.570 offering it as a commentary, not as a measured superiority. 00:15:33.942 --> 00:15:39.816 But it is directly relevant too. Why don't more German deep tech companies scale globally? 00:15:40.095 --> 00:15:44.779 It is a real

question, even in country, full of excellent managers. 00:15:46.103 --> 00:15:51.066 Germany's policy turn. The German government has structurally recognized this 00:15:51.304 --> 00:15:53.469 and has been trying to fix parts of it. 00:15:53.696 --> 00:15:59.452 The federal government's 2022 scale-up strategy named talent and employee ownership 00:15:59.892 --> 00:16:02.467 among its top 10 action fields. 00:16:02.897 --> 00:16:08.202 That was not a vague strategy document. It named specific mechanisms that were 00:16:08.202 --> 00:16:10.606 broken and needed policy intervention. 00:16:11.186 --> 00:16:16.302 In our interview with StartupRate.io with Anna Christmann, at the time digital 00:16:16.302 --> 00:16:18.564 commissioner, she argued, 00:16:19.023 --> 00:16:24.272 that the position that employees should face tax on the equity only when there 00:16:24.272 --> 00:16:30.806 is an actual liquidity event, not on paper gains, before any money has changed hands. 00:16:31.137 --> 00:16:36.252 That dry income taxation, as it is called, has been one of the specific things 00:16:36.552 --> 00:16:41.458 making European employee ownership less valuable than U.S. employee ownership. 00:16:41.708 --> 00:16:44.500 Chrisman was direct about what needs to change. 00:16:45.040 --> 00:16:51.492 I want to keep that on record. Chrisman said it on startup radio in 2023 before 00:16:51.492 --> 00:16:53.509 the reform actually shipped. 00:16:53.782 --> 00:16:55.942 What happened next is the interesting part. 00:16:56.447 --> 00:16:58.861 Employee ownership and the ease of gap. 00:16:59.622 --> 00:17:05.812 Now here is the mechanism getting concrete And here the wording has to be precise 00:17:05.812 --> 00:17:09.990 because this is one of the most misreported statistics in European tech. 00:17:10.483 --> 00:17:12.312 The historical issue was not 00:17:12.312 --> 00:17:16.869 that European employees owned less of their companies than US employees. 00:17:17.246 --> 00:17:21.243 The historical issue was the size of employee options pools. 00:17:22.039 --> 00:17:28.912 Index Ventures called Rewarding Talent Research from 2018 found this pattern. 00:17:29.190 --> 00:17:35.650 US is a pool. The employee stock option pools that companies set aside at each 00:17:35.650 --> 00:17:42.400 founding ground typically expanded roughly 20 to 25 percent by the late stage, meaning by CSD. 00:17:43.296 --> 00:17:47.029 European pools have historically been half that, 00:17:47.522 --> 00:17:52.860 driven largely by punitive tax treatment, driven by the very dry income problem 00:17:52.860 --> 00:17:55.028 Chris was talking about, if, 00:17:55.516 --> 00:18:00.430 issuing options creates a taxable event for your employees before they can actually 00:18:00.430 --> 00:18:03.364 sell anything, you issue fewer options. 00:18:03.771 --> 00:18:05.576 That gap has been closing. 00:18:06.180 --> 00:18:11.097 The not-optional campaign, Index Ventures and a Coalition of European Investors, 00:18:11.578 --> 00:18:16.560 estimates late-stage European employee ownership rose from about 12%, 00:18:17.250 --> 00:18:24.191 to about 16%, moving an estimated 5 billion euros in value to what employees. 00:18:25.254 --> 00:18:31.720 That is a campaign estimate, not an official statistic, but it's directional and it is meaningful. 00:18:32.202 --> 00:18:37.641 And in Germany specifically, the Zukunftfinanzierungsgesetz, 00:18:37.909 --> 00:18:41.931 the Future Financing Act, took effect in January 2024. 00:18:42.338 --> 00:18:47.104 It deferred taxation of employee stock options to actual liquidity events, 00:18:47.313 --> 00:18:52.305 so employees no longer face tax on paper gains they cannot yet sell. 00:18:52.787 --> 00:18:59.703 It raised the tax-exempt threshold under not-optionals methodology that brought 00:18:59.703 --> 00:19:04.803 the German employee stock option regime much closer to US comparable level. 00:19:05.024 --> 00:19:10.887 Not identical, but close enough to remove the specific structural bottleneck. 00:19:11.519 --> 00:19:14.677 Why does this matter for a recycling story? 00:19:14.956 --> 00:19:19.653 Because option value that actually reaches employees is what funds the next 00:19:19.653 --> 00:19:24.661 cohort of European angel investors and next cohort of European founders. 00:19:25.148 --> 00:19:30.866 If your employees never realize the value of their equity, the flywheel does not turn. 00:19:31.267 --> 00:19:36.653 If they do realize it, some percentage of them become angels and some smaller 00:19:36.653 --> 00:19:39.371 percentage of them start companies themselves. 00:19:39.928 --> 00:19:47.439 The ESOP reform is not primarily about worker compensation, it is about capital recycling. 00:19:48.113 --> 00:19:53.403 If U-Firm is a fund, a scalable or corporate strategy team that needs to be 00:19:53.403 --> 00:19:58.083 visible in European Scalar Policy Conversation, you can become a partner at 00:19:58.083 --> 00:20:01.058 startupraight.io, link down here in the show notes. 00:20:02.264 --> 00:20:07.120 The 2026 strategy. Germany has since gone further. 00:20:07.520 --> 00:20:12.820 In July 2026, the federal government published its startup and scale-up strategy 00:20:12.820 --> 00:20:18.302 spanning more than 150 measures across the full company life cycle, 00:20:18.569 --> 00:20:23.091 from formation through growth through internalization expansion. 00:20:23.509 --> 00:20:30.080 It is not just a startup strategy it is explicitly a startup and scale-up strategy, 00:20:30.640 --> 00:20:35.820 which in itself is a policy signal about where the government now understands 00:20:35.820 --> 00:20:40.460 the bottleneck to be on the infrastructure side our primary startup right to 00:20:40.460 --> 00:20:43.722 our interview with state secretary tomas jasonbeck 00:20:44.117 --> 00:20:48.535 details the de hub network and startup factories program, 00:20:49.046 --> 00:20:54.460 these are talent and spin-off engines They are

designed to increase the rates 00:20:54.460 --> 00:20:59.690 at which universities and research institutions produce spin-off companies and 00:20:59.690 --> 00:21:02.716 to create scale-up support in specific locations, 00:21:03.018 --> 00:21:05.380 rather than diffusing in thinly. 00:21:06.360 --> 00:21:09.079 Across every German city. 00:21:09.601 --> 00:21:14.160 Now here is Startup Radio's honest assessment. Startup factories can increase 00:21:14.160 --> 00:21:15.532 the rate of venture formation. 00:21:15.654 --> 00:21:19.172 Yes, they can absolutely produce more startups. 00:21:19.613 --> 00:21:24.120 What they cannot instantly create is experienced scale-up operators, 00:21:24.120 --> 00:21:29.453 because experienced scale-up operators are, by definition, people who have already scaled companies. 00:21:30.033 --> 00:21:36.012 Makes sense, right? You have to actually have the scale-ups before you can produce alumni. 00:21:36.535 --> 00:21:42.903 Policy creates the pipeline. Time and successful scale-ups actually happening creates the operators. 00:21:43.414 --> 00:21:49.416 That is not criticism of the strategy, it is a note about what to expect from it and when. 00:21:49.950 --> 00:21:55.296 Escalator effect. Now the harder part of story. Creating experience density 00:21:55.716 --> 00:21:57.832 is not enough if it leaks. 00:21:58.343 --> 00:22:03.301 Cross-border mergers and acquisitions are part of a healthy startup ecosystem. 00:22:03.521 --> 00:22:06.436 Founders, employees deserve liquidity. 00:22:06.813 --> 00:22:09.266 Investors deserve returns. Acquiring 00:22:09.266 --> 00:22:13.249 companies deserve access to European technology and European teams. 00:22:13.528 --> 00:22:16.889 There's nothing wrong with cross-border M&A as such. 00:22:17.986 --> 00:22:21.028 This specific problem is what happens after. 00:22:21.440 --> 00:22:25.546 When a European scale-up gets acquired by a US company and the R&D stays in 00:22:25.546 --> 00:22:30.322 Europe, but headquarters and strategic decisions making moves abroad, 00:22:30.629 --> 00:22:33.950 the local ecosystem loses something very specific. 00:22:34.269 --> 00:22:39.552 It loses the training ground for the most senior executive functions. 00:22:39.912 --> 00:22:44.080 The global capital allocation function, the legal and AIPRO function, 00:22:44.498 --> 00:22:47.325 the C-suite strategic decision-making function. 00:22:47.690 --> 00:22:52.131 I think of this possible mechanism as an escalator effect. 00:22:52.474 --> 00:22:58.436 When the top of the organization escalators lift out of Europe and moves to U.S. 00:22:58.436 --> 00:23:04.126 Headquarters, the European office ends up training mid-tier operators and specialized 00:23:04.126 --> 00:23:08.606 functional leaders rather than complete C-suite decision-makers. 00:23:09.041 --> 00:23:13.016 So the R&D talent stays. The junior operator talent stays. 00:23:13.396 --> 00:23:17.746 But the top of the operator pyramid, the people who

would otherwise have gone 00:23:17.746 --> 00:23:23.296 to run the next generation of scale-ups as CEOs or to sit on their board 00:23:23.716 --> 00:23:28.726 or to lead their global expansion, that group increasingly gets into formative 00:23:28.726 --> 00:23:31.511 senior experiences outside of Europe. 00:23:32.869 --> 00:23:36.265 I want to be careful about how I position that. 00:23:36.544 --> 00:23:41.569 The escalator effect is a startup radio analytical lens. It is not a documented 00:23:41.569 --> 00:23:43.777 continent-wide statistical pattern. 00:23:44.410 --> 00:23:50.174 What it rests on is the European Investments Bank 2024 scale-up gap research, 00:23:50.377 --> 00:23:52.658 which shows how financing constraints 00:23:53.082 --> 00:23:58.313 push European scale-ups toward relocation, foreign listing, and foreign acquirers, 00:23:58.678 --> 00:24:03.241 draining what the EIB calls the local flywheel. 00:24:03.636 --> 00:24:06.167 That documented phenomenon is real. 00:24:06.753 --> 00:24:12.400 The escalator effect framing is my attempt to name a specific mechanism inside it. 00:24:12.801 --> 00:24:17.485 Take it as a lens for thinking, not a measured fact. 00:24:18.826 --> 00:24:23.836 Secondary liquidity. There is a lever that works before the IPO, 00:24:23.987 --> 00:24:29.664 before the ecosystem needs to wait for full exit or even to start recycling. 00:24:30.140 --> 00:24:36.206 Mid-stage employees, tender offers and secondary market transactions let operators 00:24:36.206 --> 00:24:41.246 and early employees realize part of the equity personally without forcing the 00:24:41.246 --> 00:24:43.346 company to premature exit. 00:24:43.492 --> 00:24:50.347 Revolut's 2024 employee secondary share sale is a concentrated European example. 00:24:50.649 --> 00:24:55.396 Employees who had been at the company for years were able to sell some of their 00:24:55.396 --> 00:25:01.888 options and turn paper wealth into actual money without Revolut having to IPO or sell. 00:25:02.340 --> 00:25:07.204 The careful claim about what this does for the ecosystem, secondary liquidity 00:25:07.558 --> 00:25:12.786 can shorten the time before employees are able to recycle capital back into 00:25:12.786 --> 00:25:16.341 the ecosystem for example as angels and as founders 00:25:16.689 --> 00:25:22.384 instead of waiting six to eight years for an ipo an employee who did a secondary sale 00:25:22.720 --> 00:25:28.531 in year five can start writing angels checks in year six that is meaningful 00:25:28.833 --> 00:25:33.996 the stricter claim the secondary liquidity has been proven to accelerate ecosystem 00:25:33.996 --> 00:25:35.863 recycling cotton and white 00:25:36.194 --> 00:25:39.944 it is not something the current evidence directly supports 00:25:40.292 --> 00:25:43.148 the mechanism exists. It is spreading. 00:25:43.659 --> 00:25:46.074 It is a good thing for the operators who use it. 00:25:46.637 --> 00:25:51.612 But the casual effect on ecosystem-wide recycling is still to be measured. 00:25:52.117 --> 00:25:56.378 I'm naming that as a directional bat, not as a data point. 00:25:56.523 --> 00:26:01.686 StartupRate.io is where the European founders, VCs, corporate strategists, 00:26:01.686 --> 00:26:06.126 and policy institutions show up when they want to understand the European scale-up 00:26:06.126 --> 00:26:11.347 conversation as it actually is evidence first, even handed and specific. 00:26:11.706 --> 00:26:17.233 Partner with us to reach that audience with the affirmed story. What actually helps? 00:26:18.011 --> 00:26:23.637 Pulling the mechanism together this is startup radio's synthesis of the evidence 00:26:23.637 --> 00:26:26.254 above four recommendations one, 00:26:26.887 --> 00:26:32.127 treat scale-ups as training institutions when a european scale-up succeeds the 00:26:32.127 --> 00:26:37.247 ecosystem does not just get one successful company it gets a training institution 00:26:37.247 --> 00:26:39.013 for future founders and operators 00:26:39.402 --> 00:26:44.255 policy should be designed to keep the alumni of successful scale-ups in region 00:26:44.545 --> 00:26:50.257 and the capital in region because both of those inputs feed the compounding effect. 00:26:51.768 --> 00:26:57.856 2. Finish the employee ownership reform job across Europe. Germany's Future 00:26:57.856 --> 00:26:59.825 Financing Act was a good step. 00:27:00.028 --> 00:27:07.452 Nord Optional identifies seven European countries that now match or beat US stock option policy. 00:27:07.974 --> 00:27:11.916 That means the majority of European countries still does not. 00:27:12.200 --> 00:27:18.272 Finishing the pan-European alignment of employee stock option regimes through something like a, 00:27:18.998 --> 00:27:25.866 EU ASOP or 28th regime for European equity is one of the most direct policy 00:27:25.866 --> 00:27:29.580 levers available to increase the rate of capital recycling. 00:27:29.969 --> 00:27:35.296 When more employees realize value from the options, more of them become angels 00:27:35.296 --> 00:27:39.629 and founders and it's a compounding effect. 3. 00:27:40.859 --> 00:27:44.371 Support secondary liquidity mechanisms. 00:27:44.580 --> 00:27:47.947 Not because they will single-handedly solve the recycling problem, 00:27:48.069 --> 00:27:53.156 but because they materially shorten the time between when an employee gains 00:27:53.156 --> 00:27:59.093 a scaling experience and when that employee is in a position to fund the next generation. 00:27:59.406 --> 00:28:04.416 Framework that support secondary tender offers both at company level and at 00:28:04.416 --> 00:28:10.748 investor level is a small structural intervention with a plausibly large downstream effect. 00:28:11.323 --> 00:28:15.299 4. Address the escalator effect retention leak. 00:28:15.607 --> 00:28:20.297 This is the hardest one because it points back at the early installments of the series. 00:28:20.558 --> 00:28:25.806

Retention of C-suite strategic functions in Europe Capital requires late-stage 00:28:25.806 --> 00:28:31.486 capital, public market depth, deep enough that European scale-ups do not need 00:28:31.486 --> 00:28:35.135 to relocate to real growth capital or to go public. 00:28:35.698 --> 00:28:41.116 That is the EIB's core prescription, building the financial market infrastructure 00:28:41.116 --> 00:28:45.224 that lets European scale-ups scale without moving their headquarters. 00:28:45.671 --> 00:28:51.342 It is the connective tissue between this episode and every other episode in this series. 00:28:52.114 --> 00:28:55.179 The scale-up question verdict let me close, 00:28:55.946 --> 00:29:01.988 europe's scale-up gap is often narrated as a failure of nerve europeans the 00:29:01.988 --> 00:29:07.448 story goes are too cautious to regulate it to risk averse to build the great 00:29:07.448 --> 00:29:10.323 technology companies of the 21st century, 00:29:11.020 --> 00:29:15.635 that is not what the data says the data says europe has built the raw inputs 00:29:15.931 --> 00:29:22.788 three and a half million tech workers 12 000 plus senior operators 400 plus 00:29:22.788 --> 00:29:25.323 unicorns already producing 2300. 00:29:26.798 --> 00:29:32.428 Alumni founded startups the raw inputs are there the startups are there the 00:29:32.428 --> 00:29:37.308 successful scale ups are there in growing numbers what the data also says is 00:29:37.308 --> 00:29:39.830 that Europe is still learning to recycle, 00:29:40.341 --> 00:29:46.047 to turn each successful scale up into the draining ground and the capital source 00:29:46.181 --> 00:29:47.377 for the next generation. 00:29:47.585 --> 00:29:52.264 Some parts of that recycling mechanism are built. 00:29:53.569 --> 00:29:58.648 Again, some parts of this recycling machinery are being built. 00:29:59.269 --> 00:30:05.869 The Zukunftsfinanzierungsgesetz worked. The 2026 startup and scale-up strategy is comprehensive. 00:30:06.264 --> 00:30:12.237 Secondary liquidity is spreading. Founder factories are compounding in specific European cities. 00:30:12.626 --> 00:30:18.704 Other parts are still broken. The escalator effect leaks the top of the operator permit. 00:30:19.010 --> 00:30:22.262 Most European countries have not finished ESOP reform. 00:30:22.657 --> 00:30:28.810 And the late-stage capital infrastructure that would prevent forced relocations 00:30:29.083 --> 00:30:31.770 is still under construction across the continent. 00:30:32.363 --> 00:30:34.842 The scale-up gap is not a talent shortage. 00:30:35.718 --> 00:30:41.314 It's a recycling gap. Fix the recycling and the density compounds on its own. 00:30:41.796 --> 00:30:45.070 That was part four of the European scale-up question. 00:30:46.028 --> 00:30:50.556 If you found this useful, please rate or review StartupRate.io wherever you're 00:30:50.556 --> 00:30:51.815 listening or watching this. 00:30:52.082 --> 00:30:56.266 The companion blog post with the full evidence table, dissertation-ready statistics, 00:30:56.643 --> 00:31:00.946 the founder factory data and the ASAP reform timeline, and the complete source 00:31:00.946 --> 00:31:02.663 list is at startuprate.io. 00:31:02.976 --> 00:31:07.069 The full series is worth reading. As a corpus, the central pillar is called 00:31:07.272 --> 00:31:08.716 the European Scale-Up Question. 00:31:08.716 --> 00:31:13.292 The three prior installments are Fragmentation, European Growth Tax, 00:31:13.686 --> 00:31:16.908 the European Scale-Up Gaps, Why Startups Don't Become Tech Giants, 00:31:17.344 --> 00:31:19.288 and Demand Without Deployment. 00:31:19.637 --> 00:31:22.856 Together with this episode, they trace the structural, financial, 00:31:22.856 --> 00:31:26.260 market, and human sides of the connected question. 00:31:26.922 --> 00:31:31.125 Part 5 is coming. Subscribe on YouTube, Apple Podcasts, Spotify, 00:31:31.450 --> 00:31:33.034 and wherever you find your audio. 00:31:33.609 --> 00:31:36.982 This has been Joe Manager for StartupRate.io. See you soon.