digital vs physical businesses

In the first part, I will analyze how digital businesses and physical businesses are complementary to each other via the following dualities:

  1. Risk of Death vs Potential for Growth

  2. Controlling Demand vs Controlling Supply

  3. Network Effects vs Scale Effects

  4. Mind vs Body

  5. Borrowing Space vs Borrowing Time

In the second part, I will analyze how the rise of digital businesses against physical businesses is triggering the following trends:

  1. Culture is Shifting from Space to Time

  2. Progress is Accelerating

  3. Science is Becoming More Data-Driven

  4. Economy is Getting Lighter

  5. Power is Shifting from West to East

Duality 1: Risk of Death vs Potential for Growth

Since information is frictionless, every digital startup has a potential for fast growth. But since the same fact holds for every other startup as well, there is also a potential for a sudden downfall. That is why defensibility (i.e. ability to survive after reaching success) is often mentioned as the number one criterion by the investors of such companies.

Physical businesses face the inverse reality: They are harder to grow but easier to defend, due to factors like high barriers to entry, limited real estate space, hard-to-set-up distribution networks etc. That is why competitive landscape is the most scrutinized issue by the investors of such companies.

Duality 2: Controlling Supply vs Controlling Demand

In the physical world, limited by scarcity, economic power comes from controlling supply; in the digital world, overwhelmed by abundance, economic power comes from controlling demand.
- Ben Thompson - Ends, Means and Antitrust

Although Ben’s point is quite clear, it is worth expanding it a little bit.

In the physical world, supply is much more limited than demand and therefore whoever controls the supply wins.

  • Demand. Physical consumption is about hoarding in space which is for all practical purposes infinite. Since money is digital in its nature, I can buy any object in any part of the world at the speed of light and that object will immediately become mine.

  • Supply. Extracting new materials and nurturing new talents take a lot of time. In other words, in the short run, supply of physical goods is severely limited.

In the digital world, demand is much more limited than supply and therefore whoever controls the demand wins:

  • Demand. Digital consumption is information based and therefore cognitive in nature. Since one can pay attention to only so many things at once, it is restricted mainly to the time dimension. For instance, for visual information, daily screen time is the limiting factor on how much can be consumed.

  • Supply. Since information travels at the speed of light, every bit in the world is only a touch away from you. Hence, in the short run, supply is literally unlimited.

Duality 3: Scale Effects vs Network Effects

Physical economy is dominated by geometric dynamics since distances matter. (Keyword here is space.) Digital economy on the other hand is information based and information travels at the speed of light, which is for all practical purposes infinite. Hence distances do not matter, only connectivities do. In other words, the dynamics is topological, not geometric. (Keyword here is network.)

Side Note: Our memories too work topologically. We remember the order of events (i.e. temporal connectivity) easily but have hard time situating them in absolute time. (Often we just remember the dates of significant events and then try to date everything else relative to them.) But while we are living, we focus on the continuous duration (i.e. the temporal distance), not the discrete events themselves. That is why the greater the number of things we are pre-occupied with and the less we can feel the duration, the more quickly time seems to pass. In memory though, the reverse happens: Since the focus is on events (everything else is cleared out!), the greater the number of events, the less quickly time seems to have passed.

This nicely ties back to the previous discussion about defensibility. Physical businesses are harder to grow because that is precisely how they protect themselves. They reside in space and scale effects help them make better use of time through efficiency gains. Digital businesses on the other hand reside in time and network effects help them make better use of space through connectivity gains. Building protection is what is hard and also what is valuable in each case.

Side Note: Just as economic value continuously trickles down to the space owners (i.e. land owners) in the physical economy, it trickles down to “time owners” in the digital economy (i.e. companies who control your attention through out the day).

Scale does not correlate with defensible value in the digital world, just as connectivity does not correlate with defensible value in the physical world. Investors are perennially confused about this since scale is so easy to see and our reptilian brains are so susceptible to be impressed by it.

Of course, at the end of the day, all digital businesses thrive on physical infrastructures and all physical businesses thrive on digital infrastructures. This leads to an interesting mixture.

  • As a structure grows, it suffers from internal complexities which arise from increased interdependencies between increased number of parts.

  • Similarly, greater connectivity requires greater internal scale. In fact, scalability is a huge challenge for fast-growing digital businesses.

Hence, physical businesses thrive on scale effects but suffer from negative internal network effects (which are basically software problems), and digital businesses thrive on network effects but suffer from negative internal scale effects (which are basically hardware problems). In other words, these two types of businesses are dependent on each other to be able to generate more value.

  • As physical businesses get better at leveraging software solutions to manage their complexity issues, they will break scalability records.

  • As digital businesses get better at leveraging hardware solutions to manage their scalability issues, they will break connectivity records.

Note that we have now ventured beyond the world of economics and entered the much more general world of evolutionary dynamics. Time has two directional arrows:

  • Complexity. Correlates closely with size. Increases over time, as in plants being more complex than cells.

  • Connectivity. Manifests itself as “entropy” at the lowest complexity level (i.e. physics). Increases over time, as evolutionary entities become more interlinked.

Evolution always pushes for greater scale and connectivity.

Side Note: "The larger the brain, the larger the fraction of resources devoted to communications compared to computation." says Sejnowski. Many scientists think that evolution has already reached an efficiency limit for the size of the biological brain. A great example of a digital entity (i.e. the computing mind) whose growing size is limited by the accompanying growing internal complexity which manifests itself in the form of internal communication problems.

Duality 4: Mind vs Body

All governments desire to increase the value of their economies but also feel threatened by the evolutionary inclination of the economic units to push for greater scale and connectivity. Western governments (e.g. US) tend to be more sensitive about size. They monitor and explicitly break up physical businesses that cross a certain size threshold. Eastern governments (e.g. China) on the other hand tend to be more sensitive about connectivity. They monitor and implicitly take over digital businesses that cross a certain connectivity threshold. (Think of the strict control of social media in China versus the supreme freedom of all digital networks in US.)

Generally speaking, the Western world falls on the right-hand side of the mind-body duality, while the Eastern world falls on the left-hand side.

  • As mentioned above, Western governments care more about the physical aspects of reality (like size) while Eastern governments care more about the mental aspects of reality (like connectivity).

  • Western sciences equate the mind with the brain, and thereby treats software as hardware. Eastern philosophies are infused with panpsychic ideas, ascribing consciousness (i.e. mind-like properties) to the entirety of universe, and thereby treats hardware as software.

We can think of the duality between digital and physical businesses as the social version of the mind-body duality. When you die, your body gets recycled back into the ecosystem. (This is no different than the machinery inside a bankrupt factory getting recycled back into the economy.) Your mind on the other hand simply disappears. What survive are the impressions you made on other minds. Similarly, when digital businesses die, they leave behind only memories in the form of broken links and cached pages, and therefore need “tombstones” to be remembered. Physical businesses on the other hand leave behind items which continue to circulate in the second-hand markets and buildings which change hands to serve new purposes.

Duality 5: Borrowing Space vs Borrowing Time

Banking too is moving from space to time dimension, and this is happening in a very subtle way. Yes, banks are becoming increasingly more digital, but this is not what I am talking about at all. Digitalized banks are more efficient at delivering the same exact services, continuing to serve the old banking needs of the physical economy. What I am talking about is the unique banking needs of the new digital economy. What do I mean by this?

Remember, physical businesses reside in space and scale effects help them make better use of time through efficiency gains. Digital businesses on the other hand reside in time and network effects help them make better use of space through connectivity gains. Hence, their borrowing needs are polar opposite: Physical businesses need to borrow time to accelerate their defensibility in space, while digital businesses need to borrow space to accelerate their defensibility in time. (What matters in the long run is only defensibility!)

But what does it mean to borrow time or space?

  • Lending time is exactly what regular banks do. They give you money and charge you an interest rate, which can be viewed as the cost of moving (discounting) the money you will be making in the future to now. In other words, banks are in the business of creating contractions in the time dimension, not unlike creating wormholes through time.

  • Definition of space for a digital company depends on the network it resides in. This could be a specific network of people, businesses etc. A digital company does not defend itself by scale effects, it defends itself by network effects. Hence its primary goal is to increase the connectivity of its network. In other words, a digital company needs creation of wormholes through space, not through time. Whatever facilitates further stitching of its network satisfies its “banking needs”.

Bankers of the digital economy are the existing deeply-penetrated networks like Alibaba, WeChat, LinkedIn, Facebook, Amazon etc. What masquerades as a marketing expense for a digital company to rent the connectivity of these platforms is actually in part a “banking” expense, not unlike the interest payments made to a regular bank.

Trend 1: Culture is Shifting from Space to Time

Culturally we are moving from geometry to topology, more often deploying topological rather than geometric language while narrating our lives. We meet our friends in online networks rather than physical spaces.

Correlation between the rise of the digital economy and the rise of the experience economy (and its associated cultural offshoots like hipster movement and decluttering movement) is not a coincidence. Experiential goods (not just those that are information-based) exhibit the same dynamics as digital goods. They are completely mental and reside in time dimension.

Our sense of privacy too is shifting from space dimension to time dimension. We are growing less sensitive about sharing objects and more sensitive about sharing experiences. We are participating in a myriad of sharing economies, but also becoming more ruthless about time optimization. (What is interpreted as a general decline in attention span is actually a protective measure erected by the digital natives, forcing everyone to cut their narratives short.) Increasingly we are spending less time with people although we look more social from outside since we share so many objects with each other.

Our sense of aesthetics has started to incorporate time rather than banish it. We leave surfaces unfinished and prefer using raw and natural-looking rather than polished and new-looking materials. Everyone has become wabi-sabi fans, preferring to buy stuff that time has taken (or seems to have taken) its toll on them.

Even physics is caught in the Zeitgeist. Latest theories are all claiming that time is fundamental and space is emergent. Popular opinion among the physicists used to be the opposite. Einstein had put the final nail on the coffin by completely spatializing time into what is called spacetime, an unchanging four-dimensional block universe. He famously had said “the distinction between past, present, and future is only a stubbornly persistent illusion.”

Trend 2: Progress is Accelerating

As economies and consumption patterns shift to time dimension, we feel more overwhelmed by the demands on our time, and life seems to progress at a faster rate.

Let us dig deeper into this seemingly trivial observation. First recall the following two facts:

  1. In a previous blog post, I had talked about the effect of aging on perception of time. As you accumulate more experience and your library of cognitive models grows, you become more adept at chunking experience and shifting into an automatic mode. What was used to be processed consciously now starts getting processed unconsciously. (This is no different than stable software patterns eventually trickling down and hardening to become hardware patterns.)

  2. In a previous blog post, I had talked about how the goal of education is to learn how not to think, not how to think. In other words, “chunking” is the essence of learning.

Combining these two facts we deduce the following:

  • Learning accelerates perception of time.

This observation in turn is intimately related to the following fact:

What exactly is this relation?

Remember, at micro-level, both learning and progress suffer from the diminishing returns of S-curves. However, at the macro-level, both overcome these limits via sheer creativity and manage to stack S-curves on top of each other to form a (composite) exponential curve that literally shoots to infinity.

This structural similarity is not a coincidence: Progress is simply the social version of learning. However, progress happens out in the open, while learning takes place internally within each of our minds and therefore can not be seen. That is why we can not see learning in time, but nevertheless can feel its acceleration by reflecting it off time.

Side Note: For those of you who know about Ken Wilber’s Integral Theory, what we found here is that “learning” belongs to the upper-left quadrant while “progress” belongs to the lower-right quadrant. The infinitary limiting point is often called Nirvana in personal learning and Singularity in social progress.

Recall how we framed the duality between digital and physical businesses as the social version of the mind-body duality. True, from the individual’s perspective, progress seems to happen out in the open. However, from the perspective of the mind of the society (represented by the aggregation of all things digital), progress “feels” like learning.

Hence, going back to the beginning of this discussion, your perception of time accelerates for two dual reasons:

  1. Your data processing efficiency increases as you learn more.

  2. Data you need to process increases as society learns more.

Time is about change. Perception of time is about processed change, and how much change your mind can process is a function of both your data processing efficiency (which defines your bandwidth) and the speed of data flow. (You can visualize bandwidth as the diameter of a pipe.) As society learns more (i.e. progresses further), you become bombarded with more change. Thankfully, as you learn more, you also become more capable of keeping up with change.

There is an important caveat here though.

  1. Your mind loses its plasticity over time.

  2. The type of change you need to process changes over time.

The combination of these two facts is very problematic. Data processing efficiency is sustained by the cognitive models you develop through experience, based on past data sets. Hence, their continued efficiency is guaranteed only if the future is similar to the past, which of course is increasingly not the case.

As mentioned previously, the exponential character of progress stems from the stacking of S-curves on top of each other. Each new S-curve represents a discontinuous creative jump, a paradigm shift that requires a significant revision of existing cognitive models. As progress becomes faster and life expectancy increases, individuals encounter a greater number of such challenges within their lifetimes. This means that they are increasingly at risk of being left behind due to the plasticity of their minds decreasing over time.

This is exactly why the elderly enjoy nostalgia and wrap themselves inside time capsules like retirement villages. Their desire to stop time creates a demographic tension that will become increasingly more palpable in the future, as the elderly become increasingly more irrelevant while still clinging onto their positions of power and keeping the young at bay.

Trend 3: Science is Becoming More Data-Driven

Rise of the digital economy can be thought of as the maturation of the social mind. The society as a whole is aging, not just us. You can tell this also from how science is shifting from being hypothesis-driven to being data-driven, thanks to digital technologies. (Take a look at the blog post I have written on this subject.) Social mind is moving from conscious thinking to unconscious thinking, becoming more intuitive and getting wiser in the process.

Trend 4: Economy is Getting Lighter

As software is taking over the world, information is being infused into everything and our use of matter is getting smarter.

Automobiles weigh less than they once did and yet perform better. Industrial materials have been replaced by nearly weightless high-tech know-how in the form of plastics and composite fiber materials. Stationary objects are gaining information and losing mass, too. Because of improved materials, high-tech construction methods, and smarter office equipment, new buildings today weigh less than comparable ones from the 1950s. So it isn’t only your radio that is shrinking, the entire economy is losing weight too.

Kevin Kelly - New Rules for the New Economy (Pages 73-74)

Energy use in US has stayed flat despite enormous growth. We now make less use of atoms, and the share of tangibles in total equity value is continuously decreasing. As R. Buckminster Fuller said, our economies are being ephemeralized thanks to the technological advances which are allowing us to do "more and more with less and less until eventually [we] can do everything with nothing."

This trend will probably, in a rather unexpected way, ease the global warming problem. (Remember, it is the sheer mass of what is being excavated and moved around, that is responsible for the generation of greenhouse gases.)

Trend 5: Power is Shifting from West to East

Now I will venture far further and bring religion into the picture. There are some amazing historical dynamics at work that can be recognized only by elevating ourselves and looking at the big picture.

First, let us take a look at the Western world.

  • Becoming. West chose a pragmatic, action-oriented attitude towards Becoming and did not directly philosophize about it.

  • Being. Western religions are built on the notion of Being. Time is deemed to be an illusion and God is thought of as a static all-encompassing Being, not too different from the entirety of Mathematics. There is believed to be an order behind the messy unfolding of Becoming, an order that is waiting to be discovered by us. It is with this deep conviction that Newton managed to discover the first mathematical formalism to predict natural phenomena. There is nothing in the history of science that is comparable to this achievement. Only a religious zeal could have generated the sort of tenacity that is needed to tackle a challenge of this magnitude.

This combination of applying intuition to Becoming and reason to Being eventually led to a meteoric rise in technology and economy.

Side Note: Although an Abrahamic religion itself, Islam did not fuel a similar meteoric rise, because it was practiced more dogmatically. Christianity on the other hand self-reformed itself into a myriad of sub-religions. Although not too great, there was enough intellectual freedom to allow people to seek unchanging patterns in reality, signs of Being within Becoming. Islam on the other hand persecuted any such aspirations. Even allegorical paintings about Being was not allowed.

East did the opposite and applied reason to Becoming and intuition to Being.

  • Becoming. East based its religion in Becoming and this instilled a fundamental suspicion against any attempts to mathematically model the unfolding reality or seek absolute knowledge. Of course, reasoning about Becoming without an implicit belief in unchanging absolutes is not an easy task. In fact, it is so hard that one has no choice but to be imprecise and poetic, and of course that is exactly what Eastern religions did. (Think of Taoism.)

  • Being. How about applying intuition to Being? How can you go about experiencing Being directly, through the “heart” so to speak? Well, through non-verbal silent meditation of course! That is exactly what Eastern religions did. (Think of Buddhism.)

Why could not East reason directly about Becoming in a formal fashion, like West reasoned directly about Being using mathematics? Remember Galileo saying "Mathematics is the language in which God has written the universe." What would have been the corresponding statement for the East? In other words, what is the formal language of Becoming? It is computer science of course, which was born out of Mathematics in the West around 1930s.

Now you understand why West was so lucky. Even if East had managed to discover computer science first, it would have been useless in understanding Becoming, because without the actual hardware to run simulations, you can not create computational models. A model needs to be run on something. It is not like a math theory in a book, waiting for you to play with it. Historically speaking, mathematics had to come first, because it is the cheaper, more basic technology. All you need is literally a pen, a paper and a trash bin.

Side Note: Here is a nerdy joke for you… The dean asks the head of the physics department to see him. “Why are you using so many resources? All those labs and experiments and whatnot; this is getting expensive! Why can’t you be more like mathematicians – they only need pens, paper, and a trash bin. Or philosophers – they only need pens and paper!”

But now is different. We have tremendous amounts of cheap computation and storage at our disposal, allowing us to finally crack the language of Becoming. Our entire economy is shifting from physical to digital, and our entire culture is shifting from space to time. An extraordinary period indeed!

It was never a coincidence that Chinese mathematicians chose to work in (and subsequently dominated) statistics, the most practical fields within mathematics. (They are culturally oriented toward Becoming.) Now all these statisticians are turning into artificial intelligence experts while West is still being paranoid about the oncoming Singularity, the exponential rise of AI.

Why have the Japanese always loved robots while the West has always been afraid of them? Why is the adoption of digital technologies happening faster in the East? Why are the kids and their parents in the East less worried about being locked into digital screens? As we elaborated above, the answer is metaphysical. Differences in metaphysical frameworks (often inherited from religions) are akin to the hard-to-notice (but exceptionally consequential) differences in the low-level code sitting right above the hardware.

Now guess who will dominate the new digital era? Think of the big picture. Do not extrapolate from recent past, think of the vast historical patterns.

I believe that people are made equal everywhere and in the long-run whoever is more zealous wins. East is more zealous about Becoming than the West, and therefore will sooner or later dominate the digital era. Our kids will learn their languages and find their religious practices more attractive. (Meditation is already spreading like wildfire.) What is “cool” will change and all these things will happen effortlessly in a mindless fashion, due to the fundamental shift in Zeitgeist and the strong structural forces of economics.

Side Note: Remember, in Duality 4, we had said that the East has an intrinsic tendency to regulate digital businesses rather than physical businesses. And here we just claimed that the East has an intrinsic passion for building digital businesses rather than physical businesses. Combining these two observations, we can predict that the East will unleash both greater energy and greater restrain in the digital domain. This actually makes a lot of sense, and is in line with the famous marketing slogan of the tyre manufacturing company Pirelli: “Power is Nothing Without Control”

Will the pendulum eventually swing back? Will the cover pages again feature physical businesses as they used to do a decade ago? The answer is no. Virtualization is one of the main trends in evolution. Units of evolution are getting smarter and becoming increasingly more governed by information dynamics rather than energy dynamics. (Information is substrate independent. Hence the term “virtualization”.) Nothing can stop this trend, barring some temporary setbacks here and there.

It seems like West has only two choices in the long run:

  1. It can go through a major religious overhaul and adopt a Becoming-oriented interpretation of Christianity, like that of Teilhard de Chardin.

  2. It can continue as is, and be remembered as the civilization that dominated the short intermediary period which begun with the birth of mathematical modeling and ended with the birth of computational modeling. (Equivalently, one could say that West dominated the industrial revolution and East will dominate the digital revolution.)


If you liked this post, you will probably enjoy the older post Innovative vs Classical Businesses as well. (Note that digital does not mean innovative and physical does not mean classical. You can have a classical digital or an innovative physical business.)

aile şirketlerinin evrimi

Türkiye’de sermayenin büyük bir kısmı aile şirketlerinin elinde. Dolayısıyla, bu şirketlerin,

  • nerelere yatırım yaptığı genel ekonomiye yön veriyor, ve

  • değişen şartlara adapte olabilirliği de genel ekonominin evrilebilirliğini, yani gelecekteki sağlığını belirliyor.

Ülkemizde maalesef (biraz kültürel sebeplerden ve biraz da coğrafyanın getirdiği sertlikten ötürü) aile şirketlerinin başlarındaki liderler yeni liderler yetiştiremiyor ve arkalarından gelen jenerasyonun önünü açamıyor.

Bu konuda gözlemlediğim kadarıyla iki önemli hata yapılıyor.


Hata 1: Yönetilmeyi Öğreterek Yönetmeyi Öğretemezsiniz

Bir çok büyük patron, çocuklarının sahip oldukları organizasyonu alttan yukarı doğru öğrenmesini istiyor. Bu isteğin arkadasında bir kaç kaygı yatıyor.

  1. İnsan bilmediği işi yönetemez.

  2. İnsan birlikte omuz omuza çalışmadığı kişiye karşı empati kuramaz ve dolayısıyla onu efektif şekilde yönetemez.

  3. İnsan fanusta yaşarsa şımarır, gerçeklerden uzaklaşır.

Bunlar ne kadar güzel düşünceler olsa da, yönetmeyi öğrenmenin gerçekte tek bir yolu vardır, o da yönetmektir. En alttan başlayıp, inanılmaz detay işlere boğulup, başkaları tarafından yönetilerek (ne kadar iyi gözlem yeteneğiniz olsa da) yönetmeyi öğrenemezsiniz. Yukarıdaki kaygılara gelince…

  1. Yöneterek de insan bir işi sıfırdan öğrenebilir. İllaki masanın öbür tarafına geçmek gerekmez. Zaten işler sadece detaylarda farklılık gösterir, yapısal anlamda hep birbirlerine benzerler. (Aksi takdirde yatırımcılık, profesyönel yöneticilik gibi meslekler olamazdı.)

  2. İnsan yönettiği kişilerle de empatik diyalog kurabilir, illaki onların seviyesine pozisyonel anlamda inmesi gerekmez. Ayrıca empati daha çok karakterle ilgili bir meseledir ve bu konudaki öğrenimlerin çok daha küçük yaşlarda başlaması gerekir.

  3. Genelde patron çocukları iş hayatında fanustan çıksa da, sosyal hayatında fanusa geri döner. (Şirketin kendisi de bir fanus olduğu için zaten gerçek anlamda hiç bir zaman fanustan çıkamaz.)

Peki deneyimsiz birine nasıl yöneticiliği öğretebilirsiniz, koca şirketin başına pat diye geçirerek mi? Hayır, küçük ekipler yönettirerek, küçük hatalar yaptırarak tabii ki!

  • Hatta bu egzersizleri aile şirketi fanusunun tamamen dışında yaptırarak. (Yani, çocuğunuzu büyük bir ekibin içerisindeki küçük bir ekibin başına değil, dışarıda - bağımsız - küçük bir ekibin en başına koyarak.)

  • Hatta sıfırdan kendi ekibini kendisinin kurmasını isteyerek. (Başka türlü insan seçmeyi nasıl öğrenebilir ki?)

  • Hatta bu ekibi ne için kuracağının kararını da kendisine bırakarak. (Başka türlü kendi hedeflerini kendi koymayı nasıl öğrenebilir ki?)

Özetle çocuğunuzdan gidip bir girişim kurmasını isteyin. Büyük bir şirketi yönetmekle küçük bir şirketi yönetmek tabii ki aynı şey değil, fakat yaşanılan problemler genelde aynı problemler, sadece rakamlar (ve dolayısıyla yapılan hataların bedelleri) daha büyük. Yani küçük bir şirketi başarıyla yönetebilmek en önemli yönetimsel becerilerin kazanımını sağlayacaktır.

Ayrıca sıfırdan girişim kurmak çocuğunuzun kendini keşfetmesi, kendi yönetim tarzını oturtması için de faydalı olacaktır. Ona dışarıda özgürlük alanı tanımanız, hata yapmasına izin vermeniz çok önemli. Aile şirketi içerisinde ise çocuğunuzun bir şeyler öğrenmesi çok zor.

  • Güçlü otoritenizin yarattığı baskı altında ezilir, nefes alanı bulamaz.

  • Tüm gözlerin onda olması sahne korkusu, hata yapma korkusu yaratır.

Tabi çocuğunuzu gereksiz yere de süründürtmemeniz lazım. “Ben İstanbul’a geldiğimde cebimde 30 lira vardı. Sürünsün öğrensin, benim geçtiğim yollardan o da geçsin.” mantalitesi yanlış bir mantalite. Burada amaç sizden çok daha hızlı bir şekilde çocuğunuzun aynı öğrenimleri kazanması, işleri başarılı bir şekilde devralıp bir sonraki seviyeye taşıması. Sürünmesi ve sizin çektiğiniz acıları çekmesi, sizin başarınızı takdir etmesi değil.

Çocuğunuza kısıtlı parasal kaynak fakat kısıtsız mentorluk ve kısıtsız network sunmanız en güzeli. Yani şirketinizin tüm deneyimsel bilgi birikiminden ve tüm sosyal ağından faydalanabilmeli. Unutmayın burada amaç yapılacak hataların parasal boyutunu kısıtlamak sadece. Çocuğunuza hiç bir kaynak sunmayıp süründürtmek değil.

Tabi liderlik biraz da karakter meselesi. Zaten kanında liderlik olan bir çocuğa “alttan yukarı doğru öğrenme” metodunu dayatamazsınız. Karakterine uymaz. Genelde liderler biraz uyumsuz tiplerdir, bağımsızlıklarına düşkün, kendi fikirleri olan, yüksek özgüvenli, inançlı insanlardır. Her sözü dinleyenden lider olmaz. (Öyle olsaydı okullar lider yetiştirebilirdi, liderlerin hepsi okullarda en yüksek puan alan çocuklar arasından çıkardı vs.)


Hata 2: Aynıyı Sürdürerek Yeniye Adapte Olamazsınız

Canlılar neden doğum-ölüm süreçlerinden geçer? Çünkü yeniye başka türlü adapte olamazlar. Yaşlandıkça insanın değişmesi zorlaşır, çevre ise değişmeye sürekli devam eder. Genç beyinler ise tazedir, hızla değişen şartlara kolayca adapte olurlar.

Bu yüzden ikinci jenerasyondan birinci jenerasyonun yaptığı işleri devam ettirmesini beklemek yanlıştır. Günümüzün hızla değişen ekonomisinde bu yaklaşım bir aile şirketi için ölüm fermanı demektir. Yeni jenerasyon yeni işlerle uğraşmalıdır. Toplumlar babalarının izinden gitmeyen oğullar sayesinde ilerlerler. (Yoksa bugün hepimiz tarlalarda çalışıyor olurduk!)

Peki o zaman yeni jenerasyona ne öğretmeli? Neyi yapması gerektiği değil, nasıl yapması gerektiği öğretilmeli. İnsan yönetimiyle ilgili, strateji geliştirmeyle ilgili genellenebilir yaklaşımlar öğretilmeli. Külüstürleşmeye yüz tutmuş, belirli bir düzene oturmuş işlerin kendisi değil, zamansız prensipler, gelenekler, felsefeler öğretmeli. İşin kendisi ise evrilmeli, kabuk değiştirmeli, yeni şartlara adapte olmalı. Ancak bu şekilde ilk jenerasyonun yakaladığı büyüme eğrisi korunabilir.

Yeni jenerasyonun yeni işlerle uğraşma isteği, büyüklerine olan saygısızlığından değil, doğanın kendisine olan saygısından ötürüdür. Eski jenerasyonun problemi ise doğanın döngülerini anlayamamasından (daha doğrusu kabul edememesinden), kendi başarısının yarattığı körlükten ve zaman içerisinde işle kurduğu duygusal bağdan kaynaklanır. Oysa evrim yaratıcı yıkım üzerine kuruludur. Kendini sürekli yenilemeyen ölmeye mahkumdur. Liderlik korumaktan değil, yıkıp yeniden yaratmaktan geçer.

complexity and failure

Complex structures that are built slowly over time via evolutionary processes (e.g. economies, companies, buildings, species, reputations, software) tend to be robust, but when they collapse, they do so instantly.

In the literature, this asymmetry is called the Seneca Effect, after the ancient Roman Stoic Philosopher Lucius Annaeus Seneca who said "Fortune is of sluggish growth, but ruin is rapid".

Some remarks:

  • That is why only highly educated people can be spectacularly wrong. Only with education can one construct contrived highly complex arguments of the type which can fail on several different levels and lead to a spectacular failure. (Remember, the most outrageous crimes in history were carried out in the name of complex ideologies.)

  • That is also why good product designers think hard before beginning a design process that is sure to complexify over time. Complex designs collapse in entirety and are very difficult to salvage or undo. Similarly, good businessmen think hard before opening a new business since the decision to close one later is a much harder process.

  • Once entrepreneurs start building a business, they immediately start to suffer from sunk cost and negativity biases, which are specific manifestations of the much more general asymmetry between construction and destruction. We tend to be conservative with respect to complex structures because they are hard to build but easy to destruct. (Unsurprisingly, these psychological biases look surprising to the theoretical economists who have never really built anything complex and prone-to-failure in their lives.)

nonsensically high valuation of uber

Uber will be the single largest value collapse in technology history. Here are the reasons why:

  • The service is a commodity. Users do not care about which driver or car picks them up as long as the driver is not crazy and the car is not filthy. (It is hard to preserve even such basic qualities at large scale. Generally speaking, you can not perform above average when you become almost as big as the market itself. This in turn increases your insurance cost per transaction.)

  • The technology is a commodity. It is no longer hard to build the basic application from scratch. (Even municipalities have started doing it themselves.)

  • Neither drivers or users are loyal to the company. Uber is fundamentally a utility app with very low switching costs. A lot of drivers and users utilize the rival apps as well. (Driver are looking for more rides and users are looking for cheaper prices.) In fact, there are even aggregator apps that help drivers juggle more easily between the different networks.

  • It is not a winner-takes-all market as it was imagined. Any network that is dense enough so that the average waiting time for the user is below 5 minutes is good enough. Killing competitors through predatory pricing does not change the basic market structure. If the market allows an oligopolistic structure, it will sooner or later (i.e. once Uber runs out of all the stupid money in the world to finance every ride) converge on one.

  • Unit economics is not improving. (In fact, as mentioned above, insurance cost per transaction is getting worse.) Rides do not scale since most of the costs are variable. (Cars are owned by the drivers and efficiency gains from their greater utilization quickly maxes out, especially since they are used for personal purposes as well. So there is not much for Uber to suck away.) The underlying (evil) hope is that once Uber becomes a monopoly, it will be able to relax and dictate prices. This is a false hope however since governments do not tolerate in-your-face physical monopolies, especially if they create negative externalities like luring people away from public transportation and increasing congestion. (They seem to be more lenient with abstract digital ones.)

  • With the arrival of autonomous cars, the whole industry will change. Any gains from building a driver network will be gone, making it easier to launch Uber-like services with sheer capital. (Make no mistake, there will be a LOT of new capital coming in. Germans will hit especially hard, old money will form alliances etc.) Autonomy itself will become quickly commoditized and centralized around a few intermediary technology companies who will be training all the models and centralizing all the data. Also, at some point, (as they do in the hospitality industry) users will start placing greater value on the consistency of quality. Hence, instead of riding in random cars, they will prefer to become members of the fleets owned by car manufacturers themselves. God knows what else will happen… Autonomy will be big disruptive wave with a lot of currently-unforeseeable consequences.

Nevertheless do not short-sell Uber when it goes IPO this year. It is backed by an aggressive giant called SoftBank which is ruled by an old man who is backed by an infinite amount of blood money. As Keynes said, markets can remain irrational longer than you can remain solvent, and it will for surely be the case for Uber.

classical vs innovative businesses

As you move away from zero-to-one processes, economic activities become more and more sensitive to macroeconomic dynamics.

Think of the economy as a universe. Innovative startups correspond to quantum mechanical phenomena rendering something from nothing. The rest of the economy works classically within the general relativity framework where everything is tightly bound to everything else. To predict your future you need to predict the evolution of everything else as well. This of course is an extremely stressful thing to do. It is much easier to exist outside the tightly bound system and create something from scratch. For instance, you can build a productivity software that will help companies increase their profit margins. In some sense such a software will exist outside time. It will sell whether there is an economic downturn or an upturn.


In classical businesses, forecasting near future is extremely hard. Noise clears out when you look a little further out into the future. But far future is again quite hard to talk about since you start feeling the long term effects of innovation being made today. So difficulty hierarchy looks as follows:

near future > far future > mid future

In innovative businesses, forecasting near future is quite easy. In the long run, everyone agrees that transformation is inevitable. So forecasting far future is hard but still possible. However what is going to happen in mid term is extremely hard to predict. In other words, the above hierarchy gets flipped:

mid future > far future > near future

Notice that what is mid future is actually quite hard to define. It can move around with the wind, so to speak, just as intended by the goddesses of fate in Greek mythology.

In Greek mythology the Moirae were the three Fates, usually depicted as dour spinsters. One Moira spun the thread of a newborn's life. The other Moira counted out the thread’s length. And the third Moira cut the thread at death. A person’s beginning and end were predetermined. But what happened in between was not inevitable. Humans and gods could work within the confines of one's ultimate destiny.

Kevin Kelly - What Technology Wants

I personally find it much more natural to just hold onto near future and far future, and let the middle inflection point dangle around. In other words I prefer working with innovative businesses.

Middle zones are generally speaking always ill-defined, presenting another high level justification for the barbell strategy popularized by Nassim Nicholas Taleb. Mid-term behavior of complex systems is tough to crack. For instance, short-term weather forecasts are highly accurate and long-term climate changes are also quite foreseeable, but what is going to happen in mid-term is anybody’s guess.

Far future always involves “structural” change. Things will definitely change but the change is not of statistical nature. As mentioned earlier, innovative businesses are not affected by the short term statistical (environmental / macro economic) noise. Instead they suffer from mid term statistical noise of the type that phase-transition states exhibit in physics. (Think of turbulence phenomenon.) So the above two difficulty hierarchies can be seen as particular manifestations of the following master hierarchy:

statistical unpredictability > structural unpredictability > predictability


Potential entrepreneurs jumping straight into tech without building any experience in traditional domains are akin to physics students jumping straight into quantum mechanics without learning classical mechanics first. This jump is possible, but also pedagogically problematic. It is much more natural to learn things in the historical order that they were discovered. (Venture capital is a very recent phenomenon.) Understanding the idiosyncrasies and complexities of innovative businesses requires knowledge of how the usual, classical businesses operate.

Moreover, just like quantum states decohere into classical states, innovative businesses behave more and more like classical businesses as they get older and bigger. The word “classical” just means the “new” that has passed the test of time. Similarly, decoherence happens via entanglements, which is basically how time progresses at quantum level.

By the way, this transition is very interesting from an intellectual point of view. For instance, innovative businesses are valued using a revenue multiple, while classical businesses are valued using a profit multiple. When exactly do we start to value a mature innovative business using a profit multiple? How can we tell apart its maturity? When exactly a blue ocean becomes a red one? With the first blood spilled by the death of competitors? Is that an objective measure? After all, it is the investor’s expectations themselves which sustain innovative businesses who burn tons of cash all the time.

Also, notice that, just as all classical businesses were once innovative businesses, all innovative businesses are built upon the stable foundations provided by classical businesses. So we should not think of the relationship as one way. Quantum may become classical, but quantum states are always prepared by classical actors in the first place.


What happens to classical businesses as they get older and bigger? They either evolve or die. Combining this observation with the conclusions of the previous two sections, we deduce that the combined predictability-type timeline of an innovative business becoming a classical one looks as follows:

1
(Innovative) Near Future
Predictability

2
(Innovative) Mid Future
Statistical Unpredictability
(Buckle up. You are about to go through some serious turbulence!)

3
(Innovative) Far Future
Structural Unpredictability
(Congratulations! You successfully landed. Older guys need to evolve or die.)

4
(Classical) Near Future
Statistical Unpredictability
(Wear your suit. There seems to be radiation everywhere on this planet!)

5
(Classical) Mid Future
Predictability

6
(Classical) Far Future
Structural Unpredictability
(New forms of competition landed. You are outdated. Will you evolve or die?)

Notice the alteration between structural and statistical forms of unpredictability over time. Is it coincidental?


Industrial firms thrive on reducing variation (manufacturing errors); creative firms thrive on increasing variation (innovation).
- Patty McCord - How Netflix Reinvented HR

Here Patty’s observation is in line with our analogy. He is basically restating the disparity between the deterministic nature of classical mechanics and the statistical nature of quantum mechanics.

Employees in classical businesses feel like cogs in the wheel, because what needs to be done is already known with great precision and there is nothing preventing the operations to be run with utmost efficiency and predictability. They are (again just like cogs in the wheel) utterly dispensable and replaceable. (Operating in red oceans, these businesses primarily focus on cost minimization rather than revenue maximization.)

Employees in innovative businesses, on the other hand, are given a lot more space to maneuver because they are the driving force behind an evolutionary product-market fit process that is not yet complete (and in some cases will never be complete).


Investment pitches too have quite opposite dynamics for innovative and classical businesses.

  • Innovative businesses raise money from venture capital investors, while classical businesses raise money from private equity investors who belong to a completely different culture.

  • If an entrepreneur prepares a 10 megabyte Excel document for a venture capital, then he will be perceived as delusional and naive. If he does not do the same for a private equity, then he will be perceived as entitled and preposterous.

  • Private equity investors look at data about the past and run statistical, blackbox models. Venture capital investors listen to stories about the future and think in causal, structural models. Remember, classical businesses are at the mercy of macroeconomy and a healthy macroeconomy displays maximum unpredictability. (All predictabilities are arbitraged away.) Whatever remnants of causal thinking left in private equity are mostly about fixing internal operational inefficiencies.

  • The number of reasons for rejecting a private equity investment is more or less equal to the number of reasons for accepting one. In the venture capital world, rejection reasons far outnumber the acceptance reasons.

  • Experienced venture capital investors do not prepare before a pitch. The reason is not that they have a mastery over the subject matter of the entrepreneur’s work, but that there are far too many subject-matter-independent reasons for not making an investment. Private equity investors on the other hand do not have this luxury. They need to be prepared before a pitch because the devil is in the details.

  • For the venture capital investors, it is very hard to tell which company will achieve phenomenal success, but very easy to spot which one will fail miserably. Private equity investors have the opposite problem. They look at companies that have survived for a long time. Hence future-miserable-failures are statistically rare and hard to tell apart.

  • In innovative businesses, founders are (and should be) irreplaceable. In classical businesses, founders are (and should be) replaceable. (Similarly, professionals can successfully turn around failing classical companies, but can never pivot failing innovative companies.)

  • Private equity investors with balls do not shy away from turn-around situations. Venture capital investors with balls do not shy away from pivot situations.

cloud vs multi-cloud

In the cloud world,

  • software wants to be free. Cloud providers are incentivized to offer all sorts of free goods to drive more data and compute usage, because that is basically how they make money. They are high volume / low margin infrastructural businesses.

  • hardware wants to be virtualized. Just like sequencing centers aggregate, centralize and virtualize sequencers and offer sequencing as a service, cloud providers do the same for PCs and offer data storage and computing as a service. Users do not directly interact with the machines themselves.

In other words, cloud providers commoditize the stack above them via free-ization and the stack below them via virtualization, and thereby increase the percentage of the value they capture in the value chain.

Thinking pictorially we have the following situation:

 
Cloud World  Meat Strategy

Cloud World
Meat Strategy

 

Here, the stacks composed of small squares represent commoditized competitive markets with many players, and the monolithic stack represents a monopolistic market.

Thinking of the whole figure as a hamburger, we can say that the cloud world is “pro-meat”.

Notice that all stacks’ incentives are aligned horizontally, in the sense that they all want the entire industry to grow and the bottlenecks (wherever in the value chain they may arise) to be eliminated. (i.e. Think of industry growth as the horizontal expansion of all stacks) But stacks’ incentives are not necessarily aligned vertically, in the sense that one stack capturing more of the surplus generated by the entire value chain often implies another stack capturing less. (i.e. Dynamics among the stacks is often governed by zero-sum games rather than non-zero-sum games.) Hence each stack wants to democratize (i.e. commoditize) the neighboring stacks that it interacts with. (Read this older post for a deeper look at such stack dynamics.)

Now, a multi-cloud software strategy weakens the cloud layer (middle stack) by commoditizing cloud providers and thereby releases the tension on the hardware layer (bottom stack). Thinking pictorially we have the following situation:

 
Multi-Cloud World  Bread Strategy

Multi-Cloud World
Bread Strategy

 

This is essentially why IBM (after missing the cloud wave due to short-sightedness) ended up recently buying Red Hat for 34 billion USD:

This acquisition brings together the best-in-class hybrid cloud providers and will enable companies to securely move all business applications to the cloud. Companies today are already using multiple clouds. However, research shows that 80 percent of business workloads have yet to move to the cloud, held back by the proprietary nature of today’s cloud market. This prevents portability of data and applications across multiple clouds, data security in a multi-cloud environment and consistent cloud management.

IBM and Red Hat will be strongly positioned to address this issue and accelerate hybrid multi-cloud adoption. Together, they will help clients create cloud-native business applications faster, drive greater portability and security of data and applications across multiple public and private clouds, all with consistent cloud management. In doing so, they will draw on their shared leadership in key technologies, such as Linux, containers, Kubernetes, multi-cloud management, and cloud management and automation.

- IBM Newsroom - IBM to Acquire Red Hat, Completely Changing the Cloud Landscape

spectrum of scalability

There are only two types of businesses that really matter, namely those that scale perfectly (totally inhuman) and those that do not scale at all (totally human).

For instance, both content production and information-heavy technology businesses scale perfectly. (It is costless to reproduce films and software.) Spotting and nurturing promising artists and technology entrepreneurs on the other hand do not scale at all.

Greatest returns in business come from highly scalable (and defensible) businesses, but the most vital ingredient in building such businesses is talent. In this sense, talent management is only one-step away from scalability, and that is exactly why its return profile is extremely nonlinear, mimicking that of scalable businesses.


Media and technology worlds are structurally quite similar in the sense pointed above. But then how could media companies have been so slow and inept at crafting a legitimate response to the tech companies creeping into their domain?

Answer is very simple. Although media content scales perfectly as software does, it does not evolve after it is born. For instance, once a film is produced, it is done. Software on the other hand is born immature and goes through an evolutionary design process which slowly settles into an equilibrium. Media companies do not know how to guide this evolution. That is why they are prudently waiting for the equilibrium to emerge before making a move. (Think of Disney’s late response to Netflix.)


Investing only in totally scalable and totally unscalable businesses is an example of the barbell strategy popularized by Nassim Nicholas Taleb.

Universities are embodiments of this strategy. They pool their resources into two buckets: facilitating research and teaching students. Research is a form of content production and teaching is a form of talent nurturing. (They are nurturing future researchers.)

forbes türkiye soru-cevap

Eylül ayı Forbes Türkiye dergisinde yayınlanan profil yazısı için kullanılan soru-cevaplar:

Forbes: Yatırım ve iş felsefenizi oluştururken sizi en çok etkileyen fikir / ders / öğüt neydi; bunlar kimden gelmişti ya da hangi olay neticesinde elde etmiştiniz?

Cevap: Babamdan karanlığa dalabilmeyi, korkmamayı öğrendim sanırım, ama aynı zamanda saf rasyonalitenin ne kadar yanlış bir şey olabileceğini gördüm. Annemden de kalbimin sesini dinlemeyi, yılmamayı öğrendim, ama aynı zamanda saf duygusallığın yanlış olduğunu gördüm. İyi ve sevilen bir işadamı olmak gerçekten çok şizofrenik bir ruh hali. Sürekli farklı şapkalar takmanız gerekiyor. Sanırım ailemizdeki uçlaşma beni bu anlamda yıllarca deneyimsel açıdan hazırladı.

Doktora hocamdan da çok şey öğrendim. Mesela cahilliğimi nasıl avantajıma kullanabileceğimi, problem çözerken en önemli adımın doğru soruyu yöneltmek olduğunu gördüm.

Forbes: Bugünün ekonomik / teknolojik ve konjonktürel şartlarında hayata yeni atılıyor olsaydınız işe nereden ve ne yaparak başlardınız?

Cevap: Akademik hayattan iş hayatına geçiş travmatik bir deneyim, özellikle de akademik hayatınız başarılı geçmişse. Girilmesi en zor okullara girmek için yıllarca çabalıyorsunuz, üniversiteden çıkınca neyi maksimize edeceğinizi şaşırıyorsunuz. İster istemez en zor girilen, en çok insanın yığıldığı, en konjonktürel işlere dalıyorsunuz. Bu kadar benzersiz insanın aynı hayaller peşinden koşmasındaki garipliği göremiyorsunuz. (Her insan benzersizdir, doğru eğitimle daha da benzersizleşir.) 

Bugün hayata yeni atılıyor olsaydım, önce bir nefes alırdım. Trendleri değil, içimdeki tutkuyu, beni farklı kılanı bulmaya çalışırdım. Fırsatlar hiç bir zaman bitmiyor. En büyük zaman kayıpları kendinizi iyi tanımamaktan kaynaklanıyor.

Forbes: Gelişmeleri de göz önünde bulundurduğunuzda önümüzdeki dönemde hangi coğrafyaların yatırım için veya pazar olarak daha cazip olduğunu düşünüyorsunuz?

Cevap: Yazılım dünyası coğrafya-bağımsız dinamiklere sahip. Ürettiklerinizi anında bütün dünya pazarıyla buluşturabiliyorsunuz. İlk müşterileriniz coğrafi açıdan en yakın olanlar arasından değil, çözdüğünüz problemden en muzdarip ve teknolojiye en yatkın olanlar arasından çıkıyor.

Ayrıca cazibenin biraz da erişilememezlikten kaynaklandığını unutmamak lazım. Mesela Çin çok cazip piyasa fakat orada iş yapabilmek müthiş zor. Farklı pazarların cazibeliğini kendi kapasitenizle birlikte tartmanız gerekiyor.

Forbes: Önümüzdeki dönemde Türkiye’deki iş insanları ve girişimciler için en büyük riskler neler?

Cevap: Bazen Türkiye'nin artık dibe vurduğunu, bundan sonrasınının kesinlikle daha iyi olacağını düşünüyorum, fakat bu konuda hep yanılıyorum. O yüzden fazla bir yorum yapamayacağım. Aslına bakarsanız Türkiye'nin en büyük riski artık yorum yapılamayacak bir ülke haline gelmesi. Geleceği tahmin etmek çok güç.

Forbes: Sizce gelecekte trend olacak sektörler hangileri? Genç girişimciler hangi alana yönelmeli?

Cevap: Trendleri tahmin etmek zor, fakat bazı meta-trendler çok net. Mesela teknoloji girişimleri gittikçe sofistikeleşiyor ve B2C'den B2B'ye kayıyor. Yapay zeka altyapısal anlamda her yere yayılıyor. Arada chat bot furyası gibi trendler gelip geçiyor ama yapay zekanın önemi sürekli artmaya devam ediyor. 

Genel olarak girişimciler trend peşinden değil, problem peşinden koşmalı. Sıfırdan bir şirket inşa ediyorsunuz, devlet bonosu alıp satmıyorsunuz. Bu çok zorlu ve uzun bir süreç. Yarı yolda altınızdan halının çekilmeyeceğinden, çözmeye çalıştığınız sorunun ekonomik öneminin azalmayacağından emin olmalısınız.

Forbes: Size göre servet sahibi olmanın en iyi/etkili/kısa/doğru/akıllıca yolu nedir?

Cevap: Olağanüstü başarıların bir sistematiği yok. Olsa da zaten, ilgili teknikler herkes tarafından hızlıca benimseniyor ve rekabet üstünlüklerini kaybediyor. 

İş dünyasının hem bilimsel hem de sanatsal bir yanı var. Bilimsel yanı ancak aptal hatalar yapmamanıza yardım edebiliyor. Esas sanatsal yanıyla diğerlerinden ayrışıp servet yaratabiliyorsunuz. Bu da ancak deneyimle, usta-çırak ilişkileriyle öğrenilebiliyor.

Bariz ama gene de altını çizmekte fayda var: Sadece çok çalışarak servet yapılamıyor. En önemli faktörler sizin kontrolünüz dışında gelişiyor. Doğru zamanda doğru yerde olmanız, dolayısıyla çok iyi fırsat kollayabilmeniz gerekiyor.

Forbes: Ne kadar karlı görünse de hangi faktör sizi bir yatırımdan vaz geçirir?

Cevap: Bir yatırım ne kadar erken aşama ise o kadar insan faktörü önem kazanıyor. Yaşam eğrisinin başındaki bir şirket adeta kurucularıyla özdeşleşiyor. Her şey gaz ve toz bulutuyken (bırakın karı, ortada ciro bile yokken) yatırımcı olarak kuruculara sonsuz güven duymanız gerekiyor. Dolayısıyla en ufak etik problem, karaktersizlik, yalan dolan beni direk vazgeçiriyor.

Forbes: İş hayatının başında olan girişimci/yatırımcılar için “…asla yapmayın” ve “...bunu mutlaka yapın” diyeceğiniz tavsiyeler neler olurdu?

Cevap: Girişimcilik herkese uygun bir meslek değil. Sıfırdan bir şirket kurup ayağa kaldırmak inanılmaz zor, riskli ve stresli bir süreç. Öncelikle sizi heyecanlandıran, ekonomik potansiyeli yüksek bir problem bulmanız ve bu problemin en önemli kısımlarına çözüm geliştirebilecek çekirdek bir ekip kurabilmeniz gerekiyor. Çoğu girişimci adayı daha bu aşamada takılıyor.

Yatırımcılara tavsiyem kendilerinin de girişim kurmayı denemeleri. Doğru girişimleri seçebilmek, girişimcilere doğru tavsiyeler verebilmek, tahminlerinizi ve beklentilerinizi gerçekçi seviyelerde tutabilmek için bu şart.

Forbes: Sizce önümüzdeki dönemde lider kavramı nasıl olacak? Geleceğin liderinin özellikleri neler olmalı?

Cevap: Bence her sektörün kendine has doğru liderlik özellikleri var ve bu özellikler zaman içerisinde değişmiyor. Zaman içerisinde değişen tek şey ön plana çıkan sektörler oluyor. Mesela şu sıralar tekrar teknoloji sektörü atağa geçti ve bu sektörün liderleri ve karakteristik özellikleri basında daha ön plana çıktı. 

Bu demek değil ki, diğer sektörlerde eğitimli, entellektüel veya vizyoner olmak çok önemli. Fakat gene de tüm liderlerin teknoloji dalgalarını iyi izleyip, ona göre pozisyon almaları ve erkenden adaptasyon süreçlerini başlatmaları gerekiyor.

structural flows and vertical integrations

Just like there is a deep relation between the network structure of neurons and the subsequent dynamical flow of information around them, there is a deep relation between market structure and profit flow. 

Think of each supply chain as a vertical stack where each stack manufactures the inputs used at one higher stack. For instance, one stack may have ten different type of inputs from the stacks below itself (in different supply chains) and each input may be generated inside either a monopolistic, an oligopolistic or a competitive market conditions. (Supply chains intersect at stacks where more than one input are used to generate a single output.)

Profit of the whole supply chain is capped above by the consumer value assigned to the final product and below by the total cost of production of the entire chain. Now think of the thickness of each stack as the amount of profit captured by that particular stack. Visually, what happens over time is that the whole chain dynamically flexes as the total amount of profit and its internal distribution evolve. These dynamics are mainly shaped by the (ever-changing) market structures at each stack. For instance, a monopolistic stack can easily suck profits from the stack above by charging a higher price for its output. (Of course, a higher price also results decreased demand but the monopolist has the luxury to optimize this trade-off.) A monopolistic stack can flex its muscle downwards as well if the output of a stack below is not utilized elsewhere in the economy.

Each company exists inside a supply chain and one reason why companies try to become vertically integrated is to minimize the uncertainties entailed by the ever-evolving profit distribution across the chain. Of course, in practice, most vertical integrations are done for the wrong reasons. For instance, companies often extend themselves into neighboring stacks that have long become commoditized and effectively stabilized into a no-profit equilibrium due to extreme competition. Also, generally speaking, the uncertainties are best addressed at the financial (investor) level rather the operational (manager) level. That is basically why investors like to conduct portfolio optimization with pure plays only. (Part of the uncertainty that can never be eliminated by portfolio optimization methods is called systemic risk in finance jargon.)

Companies routinely launch attacks against monopolistic stacks by funding open source projects, antitrust lobbying activities, meanwhile merging with other behemoths in order to become monopolies themselves. They also occasionally reach out horizontally across to the neighboring supply chains. For instance, in order to increase how much the stack above can pay for their output, they try to find ways to decrease the prices of the complements of their output. (Remember the stack above needs to combine several inputs, including your output. The less it pays for the other inputs, the more it can pay to you.)

When a pioneer startup is building an entire new supply chain from scratch, it has no choice but to own the entire chain since everyone else is far behind it in terms of understanding the contents of what is emerging. Of course, no single company can do a high-quality job at each stack in the chain. Sooner or later, other (more-focused) startups join the game by claiming certain stacks. The pioneer startup has the first-mover advantage of having visibility over which stacks are worth defending. (Of course, it is never easy to focus an already over-extended company.) As the new supply chain matures, the number of players at each stack proliferates and the robustness of the whole supply chain increases.

harder vs new

There are two ways of moving upwards in life:

  1. Tackling harder challenges of the same type that you encountered at the level below
  2. Tacking a new set of challenges that were previously non-existent at the level below

First way is prevalent in education and techniques of mastery learning take it as fundamental.

Second way is prevalent in business and the famous Peter principle exists entirely due to it. For instance, being promoted from a non-managerial role to a managerial role is a very zero-to-one situation. A lot of people go for it because of higher status and salary, and end up being very unhappy because it is not really their thing. In other words, the problem is often not a competence issue but a fit issue. There are also non-linearities involved. For instance, I think that I am good at very detailed, lowest level work and very conceptual, highest level work, but not good at mid-level work. In other words, promoted one level up, I would perform worse, but promoted two levels up I would perform better.