The Story of Money: Understanding Specialization
In fact, I’ve previously written about specialization, in the context of exploring how innovation accelerated at a crucial historical juncture - TecC 43 [https://ashstuart.substack.com/p//tecc43-making-work-art-making-art-work-engineering-excellence]. However, let’s look at this from the perspective of our story here.
And indeed, apart from the historical angle, I do have a fictional depiction around how this arose, in that episode. But, fiction and history apart, let’s now focus on the core concept itself, in other words, let’s specialize!
In Episode 010 [https://ashstuart.substack.com/p//ecfin010-the-story-of-money-the-core-foundations-of-trade] we touched upon the specific concept of trade. Whilst in the smallest isolated communities, every member would have bothered with every aspect of making things they need, from trade, ie the ability to get certain items from someone else in exchange for what you have or can make, it naturally proceeds that different individuals could focus on making the different things they need.
This proffers a few striking advantages to the group as a whole. Different individuals have different propensities, so they might be inclined to do, or learn to do, one type of work better than another. It has been shown that broadly it’s easier to focus on a few things than to keep switching tasks all the time: code-switching is hard, it’s a cognitive load (just imagine ejecting and inserting separate CDs into your working personal computer every few minutes!)
Furthermore, there is a limit to how many skills single person can master - the classic jack of all, master of none, stuff. As communities get larger therefore, with their needs growing, it becomes quite compelling for such division to emerge or be enforced.
Divide et Coopera
The classic explanation of this phenomenon, division of labor is of course that by the economist Adam Smith in the late 1700s. But let’s take a look at a more recent example or argument of this at play.
There is this question, should a very highly skilled professional, say a brain surgeon, wash one’s own car before heading to work in the morning? The answer economists (and the Association of Car-washers) would give is, no, they should hire someone to do the job for them!
If we think about this, especially having considered opportunity cost in Episode 009 [https://ashstuart.substack.com/p//ecfin009-the-story-of-money-what-is-opportunity-cost], the brain surgeon would utilize one’s time and exertions to far better outcomes in the operating theater than outside the house. The car-washing can be done by someone with far less training and expertise than the brain surgeon: your time has a market value, act accordingly! (Of course, if our professional expert finds the car-washing act itself therapeutic there can be a carveout made here, but how about we relegate that to Saturdays...)
Twixt Skills and Wills
So yes, in a nutshell that’s what specialization is about, a concept we are so used to in the modern day, that one may be justified to ask, what’s the big deal?
Allowing different members of a group to focus on different areas of work, whether it’s in a small village or a big industrial setup, allows them to, by way of gaining experience in that area, become much more skilled at it. Again something we take for granted. But this helps significantly increase the overall quality of output, and when combined with innovation as I’ve demonstrated in the quoted piece, even build much better, far superior, more ambitious things.
Therefore specialization is an accelerant of value creation, Episode 004 [https://ashstuart.substack.com/p//ecfin004-the-story-of-money-on-the-worth-of-value-and-gain]. However, there are a few problems with specialization, and we cannot ignore them.
Most obviously, specialization leads to interdependence, which is generally seen as a good thing, but it relies on the larger system of trade and cooperation to continue to function. And then, the inability or difficulty for us to switch from one silo to another can feel stifling, and the more the degree of specialization the harder can this be. We end up being cogs in the wheel. The philosopher Karl Marx most famously complained against specialization insisting, I paraphrase, anyone should be able to do anything at any time. (I only know how to make the left shoe, Dave makes the right one)
Some of the greatest examples of genius we have were in fact not specialists at all. Leonardo da Vinci, perhaps the greatest example from the Renaissance was one such - he dabbled in a great many things, from canal fortifications to dissecting corpses to designing flying machines that won’t become reality for another 500 years! He was good at most of those things, he was indeed brilliant, but he was also easily distracted - a great many of his ventures were in the end left half done.
So yes, generalization has costs and limits, but specialization also comes with costs - what is the right balance between the two for any of us?
Specialization may have worked in da Vinci’s time because things were less complex 500 years ago than now. It might have been necessary in the early industrial era because there was no other way we knew to carry out that level of industrial scaling. But then, today we have better instruments and techniques which have also progressed in line with the increase in sophistication, so we are after all, in the modern, post-industrial knowledge age, rather more generalists than we think we are?
And then, the application of machine intelligence to more and more aspects of modern knowledge-based work, especially for the more mundane stuff, can surely allow us to, without sacrificing quality thanks to such cognitive tools, become more and more generalist?
Article written by Ash Stuart
Images, video, voice narration and some footnotes generated by AI
Nothing in this presentation constitutes as advice - financial, investment or other
Further Reading & Reference
* TecC 20 - A study in the catastrophic breakdown of specialization [https://ashstuart.substack.com/p/tecc-20-systems-scaling-systems-shattered-from-command-to-collapse-innovations-hidden-vulnerabilities-and-points-of-failure]
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