Surviving the Rise of the Machines: Partnering with the Enemy

It is easy to see the new breed of machines as the enemy. In many areas they are faster, stronger, and better than we are. Over the past century many jobs have been lost to a machine and it appears that the trend will continue. In the face of increasing competition for jobs between machines and humans two things are apparent:
1.  There are some jobs that a human will never be able to compete with machines for.
2.  Some jobs cannot be done effectively without the aid of tools such as computers and other electromechanical machines.
Any task which is relatively simple or easily replicated can almost always be done faster, more efficiently, and at a lower cost by a machine. Since the 1940’s we have used automation in what is broadly known as CNC (computer numerical control) automation. Modern CNC systems allow us to take a design for a simple component and have the system use tools such as lathes, mills, cutters, hole-punches, and welders to produce the component. These types of jobs benefit greatly from the increased productivity of a machine. For this reason, fewer and fewer humans will be used to create machined components.
Many jobs are still done by humans but have benefited from the increased productivity afforded by using some sort of machine to assist them. Early examples include jack-hammers, electric drills, and nail guns. As computers have become more common and cheaper we have seen their use in the workplace become more and more commonplace. In the business environment, it is very rare to see anyone using a typewriter for letters, purchase orders or any other document. The word processor has become the norm and is present in one form or another on every laptop, tablet, and even mobile phone. Technical fields such as medicine, biology, and astronomy depend heavily on the power of the computer for processing immense amounts of data and performing complex calculations which would never have been possible before. The degree to which computers have become integrated with the careers of today is evident by looking at the curriculum of any modern educational institution. Learning to use a computer in one’s trade has become as necessary as a carpenter learning to use a hammer. As the use of machines and computers increases so does their value. But in some cases this decreases the value of the human worker. As the skills and complexity required to do a job are shifted from human to machine, the value shifts with it. This is especially evident where the role of the human becomes so depleted of specialized skills as to move them into the category of unskilled worker.
The key to surviving the silicon takeover, at least for now, will be to avoid jobs which fall into the first category and take sanctuary in jobs which fall into the second category. But you may ask yourself, “As computers become more intelligent won’t more and more jobs fall into the second category?” Well, yes, but it may not be as simple as dividing jobs into ones in which computers are better and jobs at which humans are better. Let’s look at an example that isn’t about jobs but has been one of the most often cited examples of human intelligence vs. machine intelligence: the game of chess.
For years, computers have been rather good at playing chess. They can assess the many possible moves with lightning speed, can remember countless tricks, traps, and gambits along with many historic games played by the very best chess champions in the world. Since the 1970’s almost any chess software program could defeat all but the best chess players in the world. By 1997 the IBM computer Deep Blue beat Gary Kasparov, the world chess champion. Since then computers have left human players in the dust.
It might seem that in the game of chess, and perhaps in the job market, humans will never be able to compete with these super intelligent monsters which never sleep and make few demands. But the story took an interesting turn a few years ago when a new form of chess tournament emerged: freestyle chess. Freestyle chess is a tournament between humans who are allowed “to make use of any technical or human support for selecting their moves.” It turns out that while no single human player can defeat even a mediocre chess program, a person assisted by a computer program used to evaluate options and assist in making decisions can beat even the best of chess playing computers. An even more astounding result came out of a freestyle tournament in 2005. In “The Chess Master and the Computer” Gary Kasparov describes what happened:

Human strategic guidance combined with the tactical acuity of a computer was overwhelming. The surprise came at the conclusion of the event. The winner was revealed to be not a grandmaster with a state-of-the-art PC but a pair of amateur American chess players using three computers at the same time. Their skill at manipulating and “coaching” their computers to look very deeply into positions effectively counteracted the superior chess understanding of their grandmaster opponents and the greater computational power of other participants.

By complementing each other’s strengths, the humans and computers formed the ultimate team, unbeatable even by the best of the best from either side alone.
The future is both inevitable and very clear. In at least some fields, the only way to survive the continuing migration of jobs from human worker to automated machine is to form an alliance. The machines will continue to improve in speed, efficiency, and intelligence. But the ultimate team will the team that best utilizes the strengths of both machine and human. By leveraging the machine’s capacity for processing immense amounts of data, analyzing and choosing the best options from millions of possibilities, yet guided by well-trained humans with experience in their domain of expertise, they will leave everyone else . . .in the dust.

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