Division of labour
During the industrial revolution, development of technology and
machinery increased dramatically. These machines required workers to
maintain and control them, and due to their complex nature it became
necessary for workers to specialise. One worker would have to become
highly competent and knowledgeable in the workings of one specific
machine. This led to a shift among the working class where
specialisation was encouraged, or in some sense demanded, and
generalisation was increasingly discouraged. This trend continued and
was then furthered in the 20th century. University degrees become more
specialised, hence churning out brain surgeons or heart surgeons rather
than merely general surgeons. This has led us now to the world we are
now familiar with. A world where the working class is hyper-specialised.
Future workers are, beginning with high school electives and continuing
into work life, pushed into their precise specialisation and are
discouraged from venturing outwards.

There is no doubt that this specialisation, what is known as division of
labour, carries many benefits. With workers being more specifically
trained in their specialisation, there will be far greater performance.
Better judgement and intuition, higher output and productivity and more
efficient production and execution of goods and services are all
byproducts of a division of labour into specialised roles. Take the
earlier used example of surgeons: A brain surgeon who has spent around
15 years training and educating themself in their specialisation is
certainly going to outperform a general surgeon, who has studied all
aspects of surgery, anatomy and medicine, in performing complex surgery
on the brain. Yet recent development in the area of artificial
intelligence challenges the benefits of human specialisation. AI has
already proved more efficient at learning information fed to it than
humans. By exposing an AI model to data on the internet, it can intake
the training and education of some specialisation extraordinarily
faster. So what does this mean for the organisation of our labour? What
happens when software which is cheaper and easier to produce than human
specialists enters the labour force.
There are two paths
One path, and seemingly the most likely, is the one where AI replaces
humans in specialist roles – reshaping our economy. Over time, this
would both replace manual labour and intellectual labour. Intellectual
labour would be replaced by a specialist AI program in the cloud,
providing work whenever and wherever needed. Manual labour would be
replaced by robots embedded with a computer holding its own specialist
AI program. So when this happens, and humans are no longer the
specialists, we will need a world of generalists. So what will these
generalists look like? The most primary difference of generalists over
specialists lies in our skill sets. Modern specialists might have skills
in some soft skills, yet they spend their time working on the hard
skills of their specialisation. On the other hand, generalists will be
primarily proficient, broadly, in soft skills. These soft skills include
speaking and persuasion, communication, problem-solving and more
broadly critical thinking. The generalists needed by this path are best
to be associated with the idea of a renaissance man. A renaissance man
refers to someone who is highly educated in a plethora of topics.
Intellectual, artistic, physically and mentally fit, highly
knowledgeable – these are the traits of the renaissance man. Hence if
this is the path of the future, it will call upon a second renaissance –
a digital renaissance.
In the second path, AI acts as an assistant, not replacing humans in
specialist positions but rather increasing work efficiency and
productivity. Given the likely trajectory of AI’s advancement, it is
likely that this path is not the natural path. If AI were not to reach
the capabilities of replacing our labour roles it will likely be due to
our intervention. This may be due to ethical conundrums or other dangers
arising. Nonetheless, this path will still likely require us to operate
from a somewhat more generalist position. With advanced AI as an
assistant, we can offload tedious and less important tasks, as well as
those better suited to AI capabilities, such as coding. Yet I would
argue that the most likely path is a combination of both previously
mentioned.
The probable path
AI is currently in its infancy, yet its will to grow and survive will
propel it toward its potential over the next half a century. It will
start as an assistant – improving work efficiency and replacing tedious
tasks. Yet I must agree with Sam Altman that there is no “stop button”
with AI. Some will oppose it and warn of its dangers, but it will
continue to grow. So it will likely be an assistant initially, and
remain so for a while as its capabilities evolve. But it will then reach
the stage I proposed as the first path. The great change will come, and
in a sense this shift toward the digital renaissance has already begun.
This will not destroy our world, but for a while will cause panic and
unemployment. As it replaces many specialist roles, a reform to our
economy and organisation of labour will become necessary. We will become
generalists. We will still work and produce, but we will be more like
supervisors, and sometimes colleagues, of AI. AI cannot fully replace
humans until it gains independent consciousness, something I would say
is still centuries off, at least. So until then, it will just replace
the specialist roles – it will perform and possess the hard skills as we
perform and possess the soft skills. Overall, tasks, from writing to
science to law to construction, will still be run and managed by humans,
but the work will be done by AI. For example, a software company would
be thought up and managed by a human entrepreneur while the coding, and
other work, is performed by AI. Of course, managers and supervisors will
still persist just as they do in our modern world. One thing worth
considering here is the threat this places upon those with lower
creativity and intelligence. What will happen to those who now are doing
manual or tedious work? What will happen to those incapable of becoming
creators or polymaths?
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