Tag Archives: Start-up

“How I survived the coolitude of startups” by Mathilde Ramadier

The start-up world is so fashionable that a few clouds should gather above it. The thing is not new. In the past, I mentioned Silicon Valley Fever. There was also the recent Disrupted – My Misadventure in the Start-Up Bubble by Dan Lyons But, more worrying, the criticisms are more numerous and more serious. For example, the article The evidence is piling up – Silicon Valley is being destroyed about the Juicero and Theranos scandals. Without forgetting the more fundamental transhumanist / apolitical fever

Here is a new book, fun and serious…In French: Bienvenue dans le nouveau monde Comment j’ai survécu à la coolitude des startups (Welcome in the new world – How I survived the coolitude of startups) by Mathilde Ramadier. Mockery uses language. The “novlangue”, the “coolitude”. But this hides more unacceptable behaviors. Discounted wages, ridiculous working conditions. All this in the tone of humor, or more of chilling irony. Excessive? A little bit in the sense that not all start-ups act as the author describes, but revealing a reality that should not be underestimated … Here are some examples:

“We’re a start-up, so please bring your own laptop.” [Page 24]

“During the end-of-test interview, my CEO tells me that instead of the 1500 euros agreed upon at the start, I will finally be hired with a payroll three times lower. [… He] knows very well what he does and delivers a perfectly honed speech to sweep away my disappointment. […] So I refused a job paid 500 euros because I lacked motivation, belief and ambition. I did not deserve to participate in the adventure.” [Page 26-7] The CEO had previously added that “if I want to make a career, I will have to accept to bend down and give everything. Just like in “the Voice’.”

“But doen’t disruption also mean an acceleration imposed too suddenly on society? […] The sharing economy allows the connection of a client who has a need and a service provider (let’s say a small hand that needs money.)” [Page 28] And then she quotes Bernard Stiegler. How right she is!

“But this tendency, pushed to the extreme, has become the watchword of a despotic regime which does not admit ‘the weakest’, that is to say the refractory, and which relegates them to the bottom of the social pyramid. Because if everyone can, in theory, become a superstar, there is little talk of those for whom “siliconization” does not embody a dream… nor a sinecure.” [Page 36]

“As Orwell has taught us, the manipulation of language is the starting point of any totalitarian discourse. […] The disappearance of the ability to think for oneself can even be the core competence of a company.” [Pages 41-2]

“In many cases, these are bullshit jobs, these new ‘jobs’ in the service sector that pride themselves abotu contributing to the rational organization of the company, but which cannot be described easily because even the first concerned fail to explain clearly what they do neither can they find a real utility. […] Wages were evidently free from all egalitarian considerations and remained confidential.” [Pages 44-5]

“I’ve seen people say ‘never again’ and had to start over again. They had promised that they would not step back behind the counter of a bar after their first internships and still return, for lack of finding a job in their branch. I have seen young women and young men becoming financially dependent on their partner, sublet their car or room to live in their living room (since all aspects of life are now marketable), and knocking at the door of their parents at thirty. Pregnant women put money aside because their maternity leave did not allow them to live decently. These are the people I saw accept a precarious contract with a ridiculous paycheck in a startup because they were promised many things, and offered ‘evolution prospects’ if they agreed to ‘give everything’.” [Page 70]

The author also has interesting definitions. “One of the definitions of start-up might be this: it is a young company with high potential but still not profitable. The objective, from the beginning, is therefore rapid growth.” (Page 94) Mathilde Ramadier even has her own glossary (pages 151-5), often funny… For example:
Disruption: super-powerful innovation that breaks the codes of a whole market. An earthquake, the disruption puts everything flat and does not generally worry about the consequences of the chaos it induces.
Entrepreneur: courageous person with rare talent, who has an idea of genius before everyone, is working to achieve it and succeeds – or not.
Innovation: introduction of a new product or process on the market. A startup is necessarily innovative (for those who launch it anyway).

“During these four years in the startups, I was trapped in an infernal loop, tossed from one absurdity to another, finding here and there the same folklore … Paradoxically, we push the rational to the irrational, originality to conformism, thirst for the new to regression […] The solutions that the startupsphere promises us – to the crisis, unemployment, boredom, repetition of the same and even disuse, old age and ugliness, etc. – are also a deception: one can not pretend to live in the new world before having truly built it.” [Page 143]

The Paris Innovation Review about Start-ups

Once again the Paris Innovation Review (formerly ParisTech Review) publishes a series of excellent articles, this time dedicated to start-ups. These are:
– Companies like others? A sociological survey of French startup. http://parisinnovationreview.com/2017/03/21/sociological-survey-french-startups/
– Startups Employees Perks & Incentives – 1 – Wages. http://parisinnovationreview.com/2017/03/23/startups-employees-perks-incentives-1-wages/
– Startups Employees Perks & Incentives – 2 – Equity. http://parisinnovationreview.com/2017/03/23/startups-employees-perks-incentives-2-equity/

The article about the sociology of start-ups shows (in fact confirms) interesting things. I will let you read and jump directly to some of their concluding points: “Some of these results can provide pause for thought for public policies aimed at fostering startup creations. The survival of these businesses seems relatively unpredictable, both for the people involved (entrepreneurs, employees, support bodies) and for analysts who observe them from the outside. We have interpreted this unpredictability as the result of two causes. The first is the selection operated by the support agencies, a selection that has largely guided ours, since a claim of technical innovation, which was our main criterion for inclusion in our survey, is generally associated with subsequent monitoring and aid by these agencies. One might think that a number of projects considered very unrealistic could have been excluded by these services, which in fact limits the variety of the companies we studied. The second, more fundamental cause is the very variety of factors that make or break businesses: outlets that emerge and disappear along with the flow of global economic changes, strategies of major industrial groups and initiatives by competitors, internal conflicts, resources which become abundant or scarce depending on the context, financial problems which are difficult to anticipate, etc. This may encourage governments and public agencies to foster a much greater number of projects and not merely be satisfied with those that they consider to be the most promising. Watering a whole field is often more efficient than dumping all the available water on but a few square meters… Securing solid support by authorities, companies that are deemed innovative are doing better than the others if one considers their survival rate. Perhaps it would not be absurd to offer an equivalent support to businesses in other economic circles.”

The incentive topic is one I have covered at length as you may see with my Slideshare link below. On the salary side, I fully agree with their claim: Be as objective as possible: this ensures fairness and acknowledges a basic truth: people talk. On the equity side, know the rules of vesting and cliffs, and build a granting mechanism based on experience of employees and layers of early and late comers, i.e. the same number of stock options could be granted per year (so more shares to early employees as there are more employees per year when the company grows. If it does not, stock options are probably worthless…)

Research Exploitation according to Jacques Lewiner

The excellent Paris Innovation Review (formerly known as the ParisTech review) just published an interview of Jacques Lewiner (for the ones not knowing him, you may want to have a look at Jacques Lewiner about Innovation. This new article is entitled Research exploitation: catching up at a quick pace!

It begins with:“Academic research is not only a driver of scientific progress. It is a means to change the world. Many discoveries, including in areas related to basic research, can lead to new processes, products or services.”

Lewiner then explains the complexity of a successful exploitation and biases related to it. “The first [bias] is that, when we think about exploitation, we stick to patents. […] But sticking to patents means ignoring the essential, i.e. the entrepreneurial aspect of exploitation. […] Hence the importance of the entrepreneurial aspect: encouraging researchers to found startups and develop by themselves the economic potential of their discovery. The second bias comes [with …] a strong reluctance to admit that a researcher can make money, or even a fortune. […] A researcher’s brain is government property!”

Then Lewiner adresses the topic of licensing – More about it in How much Equity Universities take in Start-ups from IP Licensing? So here is what he says: “Nothing prevents the institution from taking shares in the company. 5% of shares, for example, is a reasonable figure, close to what most dynamic ecosystems offer. […] Holding golden shares would be equally counterproductive. […] In short, we need a whole new culture of investment.”

Lewiner indeed insists on an adequate culture: “Speed is a real challenge and on this sense, a well-equipped institution with some experience and good contacts […] can offer a real added value. Role models can also play an incentive role for researchers. […] All these ingredients of the “startup culture” require transmission.”

In the end, I only disagree with his final comment: “I dream of the day when French doctoral students will answer to the question of what they will do after their thesis with the same mindset as their counterparts in Stanford or Harvard: ‘I’m still trying to figure out in which of my thesis supervisor’s startups I want to work with.’ ” I think Lewiner is wrong. Ideally, they should do their own start-ups, just like they do at Stanford

PS: thanks a lot to the colleague who mentioned this interview to me 🙂

When was the word “start-up” first used?

It’s a question I was asked yesterday (May 21) and thought it would have between the 60’s and 80s, but had honestly no clue. So I did a little search, first through old books I had read and found this on Google books:

svfever-cover
Silicon Valley Fever: Growth of High-Technology Culture, by Everett M. Rogers, Judith K. Larsen Basic Books, 1984.

svfever-startup

but apparently I was quite far. It seems to be 1976 as I found the question answered on Quora: What is the origin of the term “startup”, and when did this word start to appear?

origin-startup

As cited in the OED (1989 edn) start-up, in the business sense, is first recorded in 1976:
1976 Forbes 15 Aug. 6/2 The?unfashionable business of investing in startups in the electronic data processing field.
Start-up company arrived a year later:
1977 Business Week (Industr. edn) 5 Sept. : An incubator for startup companies, especially in the fast-growth, high-technology fields.[…]
The term “start-up” meaning upstart dates back to 1550. Now, in the sense of “budding company”, it was first used by Forbes magazine in 1976:“The OED traces the origins of the term, used in its modern sense, back to a 1976 Forbes article, which uses the word as follows: “The … unfashionable business of investing in startups in the electronic data processing field.” A 1977 Business Week article includes the line, “An incubator for startup companies, especially in the fast-growth, high-technology fields.”

Should universities get rich with their spin-offs?

The issue is discussed in the June 2015 issue of Horizons, the research magazine of the Swiss National Science Foundation, to which I was asked to participate.

Dozens of startups are launched every year in Switzerland to commercialize the results scientific research funded in large part by the State. Should universities that have supported them become rich in case of commercial success?

Yes, says the politician Jean-François Steiert.
Horizons-Debat-Spinoffs-1-en

Over the last twenty years, about a thousand companies, mostly small, contributed to the success of Switzerland. The majority of them are successful, although investors, inclined to take risks, are rare in Switzerland as compared for example to the United States. Most of the time the spin-offs are supported by taxpayer money, in terms of infrastructure, social networks, scholarships or coaching services. The objective of this kind of public investment is primarily to encourage employment and research.

With the support from public funds, these innovations generate through sales or patents significant benefits in the order of tens or hundreds of millions of francs. The public, as an investor, must be able to require a portion of those profits. Not to allow the State or the universities to get rich, but to reinvest these funds in fostering the next generation of researchers.

At a time when the Confederation and the cantons implement programs of savings due to exaggerated tax cuts, additional funds must be generated in this way and support young researchers in the economic development of their innovations.

“The public, as an investor, must be able to require a portion of the profit.” Jean-François Steiert

When the sale of patents is concerned, it is not a question of aiming for the maximum return, nor of making profits with a unique key. Universities need flexibility to optimize the return. On the one hand, we need the creation and management of start-ups to remain attractive. On the other, one must reinvest adequately in the next generation of researchers.

What is lacking today is transparency. If universities want to maintain the confidence of the taxpayer, they must declare how much money is generated by their successful startups. This information, they owe it to the taxpayer who, rightly, wants to know if her money is well invested in research, a key area for Switzerland.

Jean-François Steiert (PS) is a member of the National Council since 2007 and member of the Commission for Science, Education and Culture.

No replies Hervé Lebret, manager of an EPFL investment fund.
Horizons-Debat-Spinoffs-2-en

When Marc Andreessen launched Netscape in 1993, one of the first Web browsers, the 22-year old American chose to start from scratch rather than sign a license with the University of Illinois, the conditions of which he considered abusive. Instead, Stanford University had less tensed relations with the founders of Google, taking a modest 2% stake (which become $336 million six years later at the company IPO). The same university asked nothing to Yahoo! as it considered that the founders had developed the web ite on their spare time. A few years later, one of the founders of Yahoo! made a gift of $ 70 million to Stanford – whereas Andreessen does not want to hear anything about his alma mater.

These examples show how the relationships between universities and corporations can worsen when they do not share the same perception of the value of a knowledge transfer. The latter is often free when it comes to education; but when it comes to entrepreneurship, the overwhelming majority of people think it should not be. Nevertheless, an indirect return already exists: first in the form of taxes and, more importantly, through the hundreds of thousands of jobs created by start-ups. Their value is ultimately much higher than the tens of millions of dollars reported each year by the best American universities from their licenses.

“Abusive conditions can discourage the entrepreneur even before she starts.” Hervé Lebret

How then to define a fair retribution for universities? The subject is sensitive, but poorly understood, partly because of a lack of transparency from the different actors. In 2013, I published an analysis of the terms of public licenses from thirty startups [1]. It shows that universities hold on average a 10% equity stake at the creation of the start-up, which is diluted to 1-2% after the first financing rounds.

It is impossible to know in advance the commercial potential of a technology. We must first ensure that it is not penalized by excessive license terms. Abusive conditions can discourage the entrepreneur even before she starts and discourage investors. And thus kill the goose in the bud.

[1] http://bit.ly/lebrstart

Hervé Lebret is a member of the Vice President for Innovation and Technology Transfer at EPFL and manager of the Innogrants, an innovation fund from EPFL in Lausanne.

Peter Thiel – Zero to One

I am reading Thiel‘s Zero to One. And after a compilation of his class notes last year, here are a few more comments. His book is as good as his notes but some readers may be puzzled. It’s not a book about how to build start-ups. (For this read Horowitz or Blank) “This book offers no formula for success. The paradox of teaching entrepreneurship is that such a formula necessarily cannot exist; because every innovation is new and unique, no authority can prescribe in concrete terms how to be innovative. Indeed, the single most powerful pattern I have noticed is that successful people find value in unexpected places, and they do this by thinking about business from first principles instead of formulas.” [Page 2]

thi22_3

Thiel is a strong believer in exceptional achievements, in innovation just like in art or science. “The entrepreneurs who stuck with Silicon Valley learned four big lessons from the dot-com crash that still guide business thinking today:
1. Make incremental advances
2. Stay lean and flexible
3. Improve on the competition
4. Focus on products, not sales.
These lessons have become dogma in the startup world. (…) And yet the opposite principles are probably more correct:
1. It is better to risk boldness than trivaility
2. A bad plan is better than no plan
3. Competitive markets destroy profits
4. Sales matters just as much as product.

[Pages 20-21]

There is one point where I disagree with Thiel. Though I tend to be convinced by his argument that monopoly is good and competition is bad – read Thiel with care for the subtlety of his arguments – I do not think he is right when he writes [page 33]: “Monopolies drive progress because the promise of years or even decades of monopoly profits provides a powerful incentive to innovate”. I prefer Levine and Boldrin. Now I do believe that established players are displaced by new players – not competitors – who innovate when the champions who have become dinosaurs stop being creative.

Thiel does not believe in luck. “You are not a lottery ticket” and I agree that you can minimize uncertainty by carefully planning and probably by adapting too. He still quotes [page 59] Buffett who considers himself “a member of the lucky sperm club and a winner of the ovarian lottery”. He also quotes Bezos with his “incredible planetary alignment” (which has not much to do with luck either). According to Thiel. success is never accidental.

I also like his piece about founders: “Bad decisions made early on – if you choose the wrong partners or hire the wrong people, for example – are very hard to correct after they are made. It may take a crisis on the order of bankruptcy before anybody will even try to correct them. As a founder your first job is to get the first things right, because you cannot build a great company on a flawed foundation. When you start something, the first and most crucial decision you make is whom to start it with. Choosing a co-founder is like getting married, and founder conflict is just as ugly as divorce. Optimism abounds at the start of every relationship. It’s unromantic to think soberly about what could go wrong, so people don’t. But if the founders develop irreconcilable differences, the company becomes the victim.” [page 108]

I will finish for now with sales: “In engineering a solution either works or fails. [Sales is different]. This strikes engineers as trivial if not fundamentally dishonest. They know they own jobs are hard so when they look at salespeople laughing on the phone with a customer or going to two-hour lunches, they suspect that no real work is being done. If anything, people overestimate the relative difficulty of science and engineering, because the challenges of those fields are obvious. What nerds miss is that it takes hard work to makes sales look easy. Sales is hidden. All salesmen are actors: their priority is persuasion, not sincerity. That’s why the word “salesman” can be a slur and the used car dealer is our archetype of shadiness. But we react negatively to awkward, obvious salesmen – that is, the bad ones. There’s a wide range of sales ability: there are many gradations between novices, experts and masters. […] Like acting, sales works best when hidden. This explains why almost everyone whose job involves distribution – whether they’re in sales, marketing, or advertising – has a job title that has nothing to do with those things: account executive, bus. dev, but also investment banker, politician. There’s a reason for these re-descriptions: none of us wants to be reminded when we’re being sold. […] The engineer’s grail is a product great enough that “it sells itself”. But anyone who would actually say this about a real product must be lying: either he’s delusional (lying to himself) or he’s selling something (and thereby contradicting himself). […] It’s better to think of distribution as something essential to the design of your product. If you’ve invented something new but you haven’t invented an effective way to sell it, you have a bad business – no matter how good the product.” [Pages 128-130] And if you do not like it said this way, watch HBO’s Silicon Valley episode 15… I may come with more comments when I am finished with this great book.

How to Start a Startup by Sam Altman

There are tons and tons of courses and videos about high-tech entrepreneurship. In 2013, the star was probably Peter Thiel. In 2014, it seems to be Sam Altman, President of Ycombintor with his How to Start a Startup The first 2 lectures have been very good with a focus on the ingredients a start-up requires:
1- an idea,
2- a product,
3- a team,
4- an execution.
Altman added in a typical American manner that hopefully you do not execute the team in step 4. You can find the videos on the web site How to Start a Startup, and also the full text of the lectures here:
HSS-01
Lecture 1: How to Start a Startup by Sam Altman – Ft: Dustin Moskovitz. The slides anc content can be found on another nice web site: howtostartastartup.co
Altman’s slides: here.
Dustin Moskovitz ‘s slides: here.

HSS-02
Lecture 2: Ideas, Products, Teams and Execution Part II by Sam Altman
Slides: here.

More also here: howtostartastartup.co
HSS-alternative

Enjoy!

Horowitz’ The Hard Thing About Hard Things: there is no recipe but courage

I began my previous blog about Horowitz’ The Hard Thing About Hard Things by quoting the first page. I will begin here with his final page:

“Hard things are hard because there are no easy answers or recipes. They are hard because your emotions are at odds with your logic. They are hard because you don’t know the answer and you cannot ask for help without showing weakness. When I first became a CEO, I genuinely thought that I was the only one struggling. Whenever I spoke to other CEOs, they all seemed like they had everything under control. Their businesses were always going “fantastic” and their experience was inevitably “amazing”. But as I watched my peers’ fantastic, amazing businesses go bankrupt and sell for cheap, I realized I was probably not the only one struggling.” […] “Embrace your weirdness, your background, your instinct. If the keys are not there, they do not exist.”[Page 275]

thehardthing

Again the book is not an easy read. It is more advice about processes than anything else, so you may not enjoy the book if you do not need to apply it now. If you are not an ambitious entrepreneur who needs to scale his venture, reading the book may not be useful. Still it is a great book. Let me give you a couple of examples.

“Figuring out the right product is the innovator’s job, not the customer’s job. The customer only knows what she thinks she wants based on her experience with the current product. The innovator can take into account everything that’s possible, but often must go against what she knows to be true. As a result, innovation requires a combination of knowledge, skill, and courage. Sometimes only the founder has the courage to ignore the data.” [Page 50]

Funnily enough, Horowitz quotes Thiel. (By the way, quotes on the back page supporting Horowitz’s book are from Page, Zuckerberg, Costolo and Thiel…) “I don’t believe in statistics, I believe in calculus”. And his advice “when things fall apart” are
– Don’t put it all on your shoulders.
– This is not checkers, this is motherfuckin’ chess.
– Play long enough and you might get lucky.
– Don’t take it personally.
– Remember that this is what separates the women from the girls.
I summarize his advice from pages 64 to 93 as when things fall apart, face the truth and tell the truth. Tell the truth to your employees, tell the truth to your future ex-colleagues, tell the truth to your friends and more importantly, tell the truth to yourself.

I understand now why Andreessen-Horowitz is seen as a firm which has put in place tons of processes. Horowitz describes many tasks founders should be utmost careful about. Taking care of people, first. He also describes how you can do mistakes by trying to do good. Just one example: “our hockey stick [the shape of the revenue graph over the quarter] was so bad that one quarter we booked 90% of our new bookings on the last day of the quarter. […] I designed an incentive to closed deals in the first two months. […] As a result, the next quarter was more linear and slightly smaller… deals just moved from the third month to the first two months of the following quarter.”

Other interesting examples are about smart people and bad employees. “Sometimes, you will have a player that’s so good that you hold the bus for him, but only him.” And senior (old) people: “When the head of engineering gets promoted from within, she often succeeds. When the head of sales gets promoted from within, she almost always fails”. [Page 172] Horowitz explains also there is not one rule, it is company-dependent. Andreessen favors giving titles easily, Zuckerberg has opposite views.

“Perhaps the most important thing that I learnt as an entrepreneur was to focus on what I needed to get right and stop worrying about all the things that I did wrong or might go wrong.” [Page 200] Again focus on the strengths, not the weaknesses.

Ones and Twos

Horowitz quotes Collins’ “Good to Great”. “Internal candidates dramatically outperform external candidates.” And then adds that “Collins does not explain why internal candidates sometimes fail as well”. There are “two core skills for running an organization: First, knowing what to do. Second, getting the company to do what you know. While being a great CEO requires both skills, most CEOs tend to be more comfortable with one or the other. I call managers who are happier setting the direction of the company Ones and those who more enjoy making the company perform at the highest level Twos.” When they are not competent at both, “Ones end up in chaos and Twos fail to pivot when necessary.” [Pages 214, 216]

jobs-campbell-grove

Horowitz shows that great CEOs need vision like Steve Jobs had, competence in implementing like Andy Grove had, and ambition like Bill Campbell. One of Horowitz favorites references is indeed Andy Grove and his “High output Management.” Horowitz shows how much respect is has for Jobs and Campbell, but the systematic processes remain his favorite, therefore Grove.

Wartime/peacetime

Horowitz also strongly believes that “life is struggle” (quoting Karl Marx) and that CEOs have to be ready to be both peacetime CEOs (when a company has a large advantage over competition in a growing market – Eric Schmid at Google until Page took over) and wartime CEOs (companies facing existential threats – Grove at Intel when they switched from memories to microprocessors or Jobs at Apple when he came back).

“Be aware that management books tend to be written by management consultants who study successful companies during their times of peace. As a result, the books describe the methods of peacetime CEOs. In fact, other than the books written by Andy Grove, I don’t know of any management books that teach you how to manage in wartime like Steve Jobs or Andy Grove.” [Page 228]

Horowitz hates the idea that founders should be replaced, that companies need professional CEOs who know how to scale companies or who “should be the number-one salesperson.” CEOs define the Strategy (“The story and the strategy are the same thing.”) and do Decision making (“with speed and quality”).

You may like the “Freaky Friday Management Technique” [Page 252] and “Should You Sell Your Company?” [Page 257] but let me finish with some of his final thoughts: “First technical founders are the best people to run technology companies”. […] “Second, it is incredibly difficult for technical founders to learn to become CEOs while building companies.” [Page 268] Which is why VCs should help these founders becoming CEOs, by helping them acquire the skill set as well as building a network.

Finally if you wonder why Andreessen-Horowitz web-site is www.a16z.com, you just have to count the number of letters in the name between the a and the z…

The Entrepreneurial State (part5): conclusion on a great book.

Again I have been very much impressed by the Entrepreneurial State but I also have some major doubts and even some disagreements. Maybe I have been brain-washed in the last 20 years of my life but my experience in Silicon Valley and venture capital and also my less than satisfying experience with planned innovation by the State convince me that entrepreneurship is crucial and maybe more important than the State role in the innovation part (not the research or even the R&D).

Now I fully agree that seed funding by the State of innovation through research and the taxes to be paid by companies are essential. I also agree that VC is less and less risk taking and that corporate R&D is just a D and the R has disappeared both in IT and pharma.

But let me finish with my notes on this excellent book. As a reminder, part 1 was about the innovation crisis, part 2 was about the respective role of the public and private sector in R&D and innovation, part 3 about the Apple iPhone, part 4 about the green revolution and risks and rewards.

9780857282521_hi-res_2

Chapter 9 – Socialization of risks and privatization of rewards.

“Innovation has a tendency of allowing those with high skills to prosper and those with low skills to get left behind.” [See also her comment on the New and Old economy in part 4] “Are these the same type of economic actors who are able to appropriate returns form the innovation process if and when they appear? That is, who takes the risks and who gets the rewards? We argue that it is the collective, cumulative and uncertain characteristics of the innovation process that make this disconnect between risks and rewards possible.” […] “When certain actors are able to position themselves at the point – along the cumulative innovation curve – where the innovative enterprise generates financial returns, that is close to the final product or, in some cases, close to a financial market such as the stock market. These favoured actors then propound ideological arguments, typically with intellectual roots in the efficiency propositions of neoclassical economics (and the related theory of “shareholder value”) that justify the disproportionate shares of the gains from innovation that they have been able to appropriate. [Page 186]

This was long but very true.

Finding a way to realign risk taking with rewards is thus crucial not only for decreasing inequality but also for fostering more innovation. […] Put provocatively, had the State earned back just one percent from the investments it made in the Internet, there would be much more today to invest in green tech. Many argue that it is inappropriate to consider direct returns because the State already earns a return via the tax system. The reality is, however, that the tax system was not conceived to support innovation and the argument ignores the fact that tax avoidance and evasion are common. [Page 187]

Mazzucato suggests 3 concrete proposals:
– A Golden share of IPR and a national “Innovation fund” by extracting a royalty. The government should retain a share of the patents; making sure the owner of patents behaves cooperatively, licensing broadly and fairly after an initial period of protection.
– Income contingent loans and equity. “After Google made billions in profits, shouldn’t a small percentage have gone back to fund the public agency that funded the algorithm?”
– Development banks. IF/when the State institution is run by people who not only believe in the power of the State but also have expertise understanding the innovation process, then the results produce a high reward.
[Well isn’t this at least partially what the US do through the Bayh-Dole Act?]

Conclusion

“Rather than relying on the false dream that “markets” will run the world optimally for us “if we just let them alone” policymakers must better learn how to efficiently use the tools and means to shape and create markets – making things happen that otherwise would not. State can do this by leveraging massive national social network of knowledge and business acumen. The State should “stay foolish” as Jobs said, in its pursuit of technological development. It can do so on a scale and with tools not available to businesses. Apple’s success did not hinge on its ability to create novel technologies, it hinge on its organizational capabilities in integrating marketing and selling those low-hanging technologies.

What is needed today is a “systems” perspective, but one that is more realistic on the actual – rather than mythological – role of the individual actors, and the linkages between actors, within and along the risk landscape. It is, for example, unrealistic to think that the highly capital-intensive and high-risk areas in clean technology will be “led” by venture capital. The history of new sectors teaches us that private investment tend to wait for the early high-risk investments to be made first by the State. Yet the returns from these “revolutionary” state investments have been almost totally privatized. While this is especially obvious in the pharmaceutical industry, it is also true in other high-tech areas, with Apple, which have received major benefits from public funds, both direct and indirect, managing to avoid paying their taxes.

First, it is not enough to talk about the “entrepreneurial” State, one must build it, with long-term strategies. There is nothing in the DNA of the public sector that makes it less innovative than the private sector. It is a self-fulfilling prophecy that it is more exciting and fun to work at Goldman Sachs or Google, rather than a State investment bank or a ministry of innovation. The only way to rebalance this problem is to upgrade, not downgrade that status of government. Second a need for a return to cover the losses, beyond the taxes and supply of skilled staff. A direct return. Third, this will have the potential to better inform policies that are directed towards other actors in the “ecosystem” of innovation. (Except the world is global and this may make efforts at the national level not sufficient)

Recommendations
– Reduce State direct transfers such as tax relief,
– Spend money on new technologies and concentrate on firms that can spend on innovation
– Abandon patent box
– Review tax credits so that firms are accountable on innovation, not just R&D
– Reduce enterprise zones
– Return of successful investment in part to government
– Use saved money for massive spending à la Darpa
– Adopt a proactive approach to green technologies
– (Not sure I understood the argument on time investment held before tax exemptions)
– Short-termism is problematic.

The Entrepreneurial State (part 4) – the Green Revolution – Unbalanced Risks and Rewards.

Part 1 covers the Innovation dilemmas and crises.
Part 2 deals with the (forgotten or untold) role of the state in stimulating innovation through research.
Part 3 is about the role of the State in the iPhone technologies.
Now chapters 6 to 8:

Chapter 6 – Pushing vs. Nudging the Green Industrial Revolution.

The Green technology is another very interesting situation. “Until wind turbines and solar PV panels can produce energy at a cost equal to or lower than those of fossil fuels, they will likely continue to be marginal technologies that cannot accelerate the transition so badly needed to mitigate climate change.” [Page 114] “Demand-side policies (regulations) are critical but they too often become pleas for change. Supply side policies (energy generation) are important for putting the money were the mouth is.” [Page 155]

Again I have been a cautious observer of green technologies with Germany subsidizing many companies which went bankrupt when China arrived with much cheaper products, with France or Japan claiming nuclear energy as the cleanest… Mazzucato rightly describes “the US with a fund-everything approach, hoping that a breakthrough disruptive energy innovation will sooner or later emerge. This has not been the case because many clean technologies require long-term financial commitment of a kind VCs are not willing or able to undertake”. In my ongoing analysis of recent IPO filings, I noticed 11 companies in green technologies out of the 165 filings I have built since 2002. The oldest one was filed in 2009. These companies had raised more than $2B or about $180M per company. They had more than 5’000 employees in total. It looked to me like a speculative bubble so Mazzucato is right when saying investors are impatient. I am not sure they are shy with their money though.

The US has been busy building on their understanding of what has worked in previous technological revolutions. (…) But while it has been good at connecting and leveraging academia, industry and entrepreneurship in its own push into clean technology, its performance has been uneven. (…) A key reason for uneven US performance has been its heavy reliance on venture capital to “nudge” the development of green technologies. (…) Since some clean technologies are still in early stages, when “Knightian uncertainty” is highest, VC funding is focused on some of the safer bets rather than on the radical innovation that is required to allow the sector to transform society. (Pages 126-127) The conclusion that might follow is that the government should focus exclusively on commissioning the development of the riskiest technologies.

Impatient capital can destroy firms promising to deliver government-financed technology. If VCs aren’t interested in capital-intensive industries, or in building factories, what exactly are they offering in terms of economic development? Their role should be seen for what it is: limited. (Page 131)

The expectation is that the opportunity to conduct high-risk and path-breaking research “will attract many of the US’s best and brightest minds – those of experienced scientists and engineers and especially those of students and young researchers, including persons in the entrepreneurial world.” (Page 134)

The history of US government investment in innovation, from the Internet to nanotech, shows that it has been critical for the government to have a hand in both basic and applied research. NIH is responsible for 75 percent of the most radical new drugs. So the assumption one can leave applied research to the business sector and that this will spur innovation is one with little evidence to support it (and may even deprive some countries of important breakthroughs.) (Page 136)

In reality government and business activities frequently overlap. Venture capitalists and entrepreneurs respond to government support in choosing technologies to invest in, but are rarely focused on the long term. In the absence of an appropriate investment model, VC will struggle to provide the “patient capital” required for the full development of radical innovations. It is crucial that finance be patient. (Page 138)

Public finance (such as provided by State development banks) is therefore superior to VC or commercial banking in fostering innovation, because it is committed and patient.

The financial and technological risks of developing modern renewable energy have been too high for VC to support. A key problem is that VCs are looking for returns that are not realistic with capital-intensive technologies. The speculative returns possible in ICT revolutions are not a “norm” to be replicated in all other high-tech industries. (Page 140)

My comments: I agree with the criticism on venture capital. Now the solution introduced of committed and patient development banks is new to me. I understand “patient”, I am less sure about “committed”. Does this mean hands-on, and competent?

But my main concern is again about the difference between inventing and innovating. I need to go back to Apple. According to Wikipedia, a classical definition of Entrepreneurship is “the pursuit of opportunity without regard to resources currently controlled”. The term puts emphasis on the risk and effort taken by individuals who both own and manage a business, and on the innovations resulting from their pursuit of economic success.

When Mazzucato describes the Entrepreneurial State, she describes as much an Inventing State as an Innovating State. There is nothing wrong with it. What Apple has been strong at is using inventions and mostly innovations to integrate them in new products. It is why Apple is doing so little R&D. Can the same company do research and explore new green fields and develop new technologies into new products. I am not sure this has been shown by clear evidence. But we should probably ask historians of technology.

There is one invention that shows how difficult the transfer from invention to innovation might be: the transistor was invented at Bell Labs in 1947. Some of the elements of the invention only were patented (as they had been prior art back in 1925.) By 1951 Bell Labs had licensed (under the government pressure) the technology to more than 40 companies and (then small firms) Texas Instruments and Sony are known for producing early commercial transistors. The inventors received the Nobel Prize in 1957 and one of them moved to Palo Alto and is probably at the origin of Silicon Valley because of his decision. Because of the threat of USSR as an emerging technology power, the US poured a lot of military and space money on the potential of the electronics of the transistor.

The difficulty with nanotechnologies and green technologies is that in the chicken and egg of pull and push, the market needs may be clear, but the technology push looks to me much less so. I am not sure to see where the equivalent of the transistor is for these “promising” fields.

Chapter 7 – Wind and Solar power

This chapter is about the history and current status of these two energies. Wind power players are GE and Vestra from Denmark. There is a long and interesting history. There is a similar long and painful history for solar power. First Solar, Solyndra, SunPower, Evergreen are described in details. Mazzacutto focuses on China’s long-term strategy vs. the more US short term one, as well as Germany’s innovative approach to the market. “Solyndra’s failure highlights the “parasitic” innovation system that the US has created for itself – where financial interests are always and everywhere the judge, jury and executioner of all innovations investment dilemmas.” “Clean technology is already teaching us that changing the world requires coordination and the investment of multiple States, otherwise R&D, support for manufacturing, and support for market creation and function will remain dead ends.” (Page 155)

A framework would include demand-side policies to promote increased consumption as well as supply-side policies that promote manufacture of the technologies with patient capital. (Page 159)

But McKay’s arguments on Sustainable energy – without the hot air makes me cautious…

Mazzacuto still reminds of us of some fundamental elements: coming back on Myth 2 (small is beautiful) “We should not underestimate the role of small firms nor assume that only big firms have the right resources at their disposal. (…) The willingness to disrupt existing market models is needed in order to manifest a real green industrial revolution. (…) It should be a subject of debate whether public support should be handed-off to large firms that could have made their own investments and it is also unclear how they would be willing to shift from the technologies which provide their major sources of revenues.“ As my friend Dominique (:- rightly mentioned as a reaction to a previous post on the topic: “Research funding and how early the research is funded by a company of course depends on its expectations but also on its margins. Back in the seventies large corporations could afford to fund early research because 1) they foresaw stable or growing markets and 2) because their margins were constantly high I believe. Today the speed @ which markets evolve is certainly a deterrent to early stage research by companies…”

Chapter 8 – Risks and rewards: from Rotten Apples to Symbiotic Ecosystems.

Risk taking has been a collective endeavor while the returns have been much less collectively distributed. [Page 165]

The story US taxpayers are told is that economic growth and innovation are outcomes of individual “genius”, Silicon Valley “entrepreneurs”, venture capitalists or “small businesses”, provided regulations are lax (or nonexistent) and taxes low – especially compared to the “Big State” behind much of Europe. [Page 166]

The real Knightian uncertainty that innovation entails, as well as the inevitable sunk costs and capital intensity that it requires, is in fact the reason that the private sector, including venture capital, often shies away from it. It is also the reason why the State is the stakeholder that so often takes the lead, not only to fix markets, but to create them. [Page 167]

Keeping that story untold has allowed Apple to avoid “paying back” share of its profits to the same State. Apple incrementally incorporated in each new generation of products technologies that the state sowed, cultivated and ripened. [Page 168]

Mazzucato has then a very interesting analysis of Old and New Economy Business Model with Old being about stability, generosity, equity and New about volatility, mobility, and low commitments. Jobs are not equal even at Apple, from R&D where products are designed, to China where they are produced, or back to the USA where they are sold by Apple-owned stores; but worse the mobility and globalization has enabled tax evasion and optimization. Apple has a subsidiary in Nevada, Braeburn Capital to avoid income or capital gain taxes. Then is has subsidiaries in Luxembourg, Ireland, the Netherlands and British Virgin Islands for low-tax advantages. Apple IP is owned by Irish subsidiaries, which receive royalties on Apple sales (!) and which ownership is co-owned by another Virgin Islands subsidiary, Baldwin Holdings… GE, Google, Oracle, Amazon and Intel are also famous for tax optimization and tax loss could be $60-80B for the US over a decade. [pages 168-175]

The ultimate purpose of putting tax dollars to use for the development of new technologies is to take on the risk that normally accompanies the pursuit of innovative complex products and systems required to achieve collective goals. [Page 176]

Mazzucato terminates this new chapter with “Where are Today’s Bell Labs?” “One of the reasons unveiled in a [recent MIT] study is the fact that large R&D centers – like bell Labs, Xerox PARC and Alcoa Research Lab – have become a thing of the past in big corporations. Long-term basic and applied research is not part of the strategy of Big Business anymore. What is not clear however is why and how this has changed over time. The wedge between private and social returns (arising from the spillovers of R&D) was just as true in the era of bell Labs as they are today. And what is missing most today is the private component of R&D working in real partnership with the public component, creating what I call later a less symbiotic ecosystem. It is crucial to understand not only how to build an effective innovation “ecosystem”, but also and perhaps especially, how to transform that ecosystem so that it is symbiotic rather than parasitic. [Page 179]

On one side, I see the success of former emerging countries such as Taiwan and Korea, but I was also in the country of the Concorde, TGV, Rafale and Nuclear Power Plants that France has been struggling in selling abroad.

And why is Tesla and Elon Musk such an (early) success if not money is available for disruptive green technologies…

Similarly why was (military and civil) nuclear fission such a success whereas civil nuclear fusion has not given any commercial output 50 years after the military use? I remember reading Richard Feynman about the Manhattan Project and the crazy (entrepreneurial) intensity of the project. Would entrepreneurship be missing at ITER? Innovation and entrepreneurship are very much related and still somehow a mystery.

Planned innovation is a very difficult challenge that Mazzucato is not pushing for and uncertainty remains. Just remember how artificial intelligence has been a disappointment for many decades not to say until now. I’d like to finish here with an interesting article form Newspaper Le Monde:

Innovation is not about planning.
LE MONDE | 30.09.2013 | By Armand Hatchuel.

On September 12, the French, Francois Hollande, and the Minister of productive recovery, Arnaud Montebourg, presented thirty-four “plans for reconquest” from “thermal renovation of buildings” to “the factory of the future” through the “airships for heavy loads”. This announcement was seen as the return of industrial policy planning, and aroused the usual criticism of public voluntarism.
The criticism is questionable because, in this case, it is not really about planning. The themes are primarily intended to stimulate innovation and new industries. However, numerous studies have shown that innovation policy – whether public or private – can only succeed if its design, control and evaluation is clearly away from a logic of planning (Philippe Lefebvre, researcher at the Ecole Nationale Superieure des Mines de Paris : ” Organizing deliberate innovation in knowledge clusters : from accidental to purposeful brokering brokering processes” [Organiser l’innovation dans les écosystèmes : au-delà de l’émergence accidentelle, un pilotage des interactions créatrices], International Journal of Technology Management , Vol. 63 , No. 3/4, 2013).

A LARGE PART OF UNCERTAINTY
For what is a “plan”? In order to guide future action, one builds representations. We “plan” our vacation, which route to take and the loss of a few pounds. Still, while conceding uncertainties, a plan assumes that the goal, the means and the partners are sufficiently known. We may, at the limit, think that the means and partners will be selected “along the way”. But we must at least specify the goal. Agricultural policy, telecommunications policy and housing policy are built as plans which aim is clearly displayed: for example, a quantified production or equipment amount at a national level.
This is not the case anymore for a genuine innovation agenda. One must admit that the purpose is necessarily largely unknown. It is not possible anymore to specify in advance the paths and the most interesting results of the project.
Paradoxically, this does not prevent an innovative concept from mobilizing resources. Who would want a car “consuming less than two liters per 100 km”? But we must recognize that we do not know how this value will be transformed to in effecient technologies and products: will these be small city cars? Intelligent control systems? New types of vehicles and fuels? And we ignore if new businesses or new markets will emerge in the adventure.
History confirms thoroughly the surprising rationality of major innovation programs . In 1854, Austria launched the Semmering Pass competition for the design of the first locomotive for mountains. Many solutions were proposed, but none could succeed. However, the major beneficiaries of the innovations were Semmering … new locomotives in the plains!

OPENING NEW PATHS
Closer to us, neither Toyota nor Apple have ever launched projects to produce the Prius or iPhone. Their success came from their ability to pilot open innovation programs (” green car”, man-machine “magic” interfaces) and take advantage, before their competitors, of the disappointments or discoveries encountered. It is important to open very contrasting paths and pay attention to the crossings and learning that each causes.
For uncertainty does not paralyze action: it prevents its management according to the rigid codes of planning. In recent years, research has clarified the cognitive and collective mechanisms that restrict or enhance the exploration of the unknown. One better understands the control rules adapted to innovation, whether innovative design approaches (expansion of alternatives, conceptual hybridizations, exploration prototyping…) or the management of the various values that emerge (new skills, new markets, new usages…). In this respect, classical rationality is often misleading.
In the logic of the plan, there is the project distinct from its “benefits”. The success of the project is the goal, the benefits being recorded afterwards. This distinction does no longer exist in an innovation program. A “benefit” may be more important than the project itself. Driving innovation is to be prepared for the changing identity of the project and actively cause unexpected “impact”. The indeterminacy between “project” and “benefits” multiplies the sources of value and minimizes financial risks.
Beyond the economic rationality that is optimized in the known world, the rationality of innovation is reflected in the ability of project managers to regenerate solutions, markets and partnerships.
Faced with the challenge of industrial revival, the question is not whether the State should use planning. It is especially important to ensure that major projects launched will be conducted by the State and its industrial partners in the most rigorous approaches and more consistent with the expected intensity of innovation .

Harmand Hatchuel is a professor at Mines ParisTech