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Where Data Is Scarce, Man Still Has Power

What makes AI irresistible is its ability to analyze billions of pieces of data and draw conclusions from them, something that humans are incapable of doing. While the areas in which man will have an advantage over machine will diminish over time, there are still contexts in which he will have an advantage over them, at least for a while.

Data-Poor Domains

AI is competent and precise when working with Big Data. It is clumsy, imprecise or even incapable when the amount of data is limited. This is where humans are still a few years ahead of AI. But what are the areas where data is limited? Everything we do or are can be translated into the form of data: our behavior on the web, the data created by our bodies, and so on. Yet there are still areas where Big Data has yet to make its mark. It is in these rare enclaves that humans will still be able to make their mark.

Unlike AI, humans can analyze a small amount of data and draw the right conclusions. A baby, for example, can easily recognize the difference between a dog and a cat, without having to look at and compare millions of photos of cats and dogs.

It’s not clear what areas AI has not yet been deployed in. Certain legal provisions prevent data collection in certain areas, to protect anonymity or security, for example. However, these areas are becoming increasingly restricted.

The Bastion Of Small Data

Small data refers to everything that can be understood at first glance without the aid of artificial intelligence. Much of what we do on a day-to-day basis is actually the result of Small Data analysis. At the same time, much of what we do will not result in a job. Nevertheless, a job is the sum of a number of tasks, usually of the Small Data type.

Jobs Preserved For A While

The jobs that will resist AI are those that won’t need it, or that will be better than it (faster, less energy-intensive, etc.). There are still a plethora of professions that are protected from the onslaught of AI. One advantage we have at the moment is that our minds are perfectly integrated into an agile body. The professions that are disappearing because of AI are those involving a human-computer interface in which the human body is static or not called upon. Of course, this advantage will disappear over time as robots become more agile. If your body and your intelligence are called upon (craftsmanship, etc.), you’ll be preserved for a while. If only your body (factory worker, etc.) or only your creativity (designer, etc.), you’ll be replaced either by a machine or by an AI.

Understand, Ai Means That Intelligence Becomes Abundant And Cheap.

AI is the equivalent of the discovery and use of oil in the 19th and 20th centuries. Before the exploitation of oil (and a fortiori coal), energy was expensive, and everything had to be quantified in human labor. In fact, it was industrialization and the use of carbon-based energy that partly rendered obsolete the use of massive human labor in the primary economy (leading, in particular, to the abolition of slavery in industrialized countries, an abolition that would come much later elsewhere, as in the Gulf States – over 100 years later – for example). Where oil means the substitution of labor (or its better use), AI means a drastic reduction in the cost of intelligence. Indeed, it takes a human about 30 years to obtain a doctorate (from birth). For an AI, access to equivalent knowledge is almost instantaneous.

The Accessibility And Low Cost Of Intelligence Call Into Question Human Economic Value

Until now, what defined man in relation to animals and machines was his ability to be creative and intelligent. Today, a significant portion of humanity is becoming less intelligent than AI (GPT-4 Chat is more intelligent than 48% of the French), and this portion will continue to grow. As a result, humans as a whole will have less and less to offer than AIs. Only an intellectual elite will be able to continue adding value to their artificial counterparts. It’s a bit like what happened with the industrialization of garment manufacturing: the majority of manual tailoring workshops closed down, and only the great couturiers continued to work in the traditional way, since they had something to offer beyond ready-to-wear.

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