Life and Death in Labor Market. Sergey Kartashov Talks About Future of IT Professions
AI gradually takes over human functions. Entire categories of professions are rendered useless each year. What will be the specialists building our future? With that question, we went to the Senior Partner of the technology company Roosh Sergey Kartashov (Sergejs Kartasovs). Forewarned is forearmed, as they say.
The labor market is digitalizing actively, Kartashov believes. And even COVID cannot prevent it. Most of the professions that emerged in the Coronavirus era are based on digital skills. Which is not surprising at all.
“Look around. School classes, bank transactions, shopping – everything went online. Employees who realized the advantages of the remote work no longer want to stay in the office,” Sergey Kartashov says.
Today, Gen Y masters gadgets relatively easily. By the time the millennials become the oldest generation, digitalization will reach its peak, with specialists without knowledge of high-tech systems turning into outsiders.
Metaverse is getting closer and closer. And you can build or create something there only with AR (augmented reality), VR (virtual reality), and MR (mixed reality).
“The profession of a 3D virtual reality artist will become a very real specialization in the nearest future. Let’s say the designers need to conduct a risky field experiment, but you cannot endanger the spacecraft—it is too expensive. What to do? We need a digital twin—this is a 3D model, a virtually exact copy of the product, in all respects corresponding to the original. The development of digital twins is a very promising area that saves money and covers costs, which is equally essential for both high-tech production and practical medicine,” notes Sergey Kartashov.
However, it is impossible to create such a twin without counting and analyzing thousands or even millions of figures. The conventional calculator cannot do that. In the future, big data analysts will help you not only to build a 3D model but also to optimize business processes.
Kartashov is sure that interaction between humans and machines can be found in almost every area today. However, it is often difficult for them to hit it off. Since digital languages, though similar to ours, require deep knowledge. That is why in the age of machine learning we need digital linguists, says Kartashov. Before an algorithm can detect textual errors, it should be taught in a language it understands.
Surely, everyone has seen a smart teapot or a fireplace being activated with a tablet. If not with your own eyes, then on TV. But very few know that not only private houses but also factories, subway stations, as well as urban infrastructure elements can be made smart. Sergey Kartashov advises those enjoying such activity to learn more about the Internet of Things phenomenon.
Artificial intelligence will also have it impact on medicine. Ten years ago, Fortune estimated only 20% of therapeutic procedures to be conducted by humans in the future. Sergey Kartashov agrees with the predictions. And it is not just about making a diagnosis.
“The goal of the most daring medical startups is to try to build sensors into a human body that can measure the main indicators of the body and signal deviations from the norm. In Sweden, for example, this year, they developed a chip containing the personal data of a COVID Certificate,” Kartashov notes.
The death of certain professions and the birth of others is a natural process, the key element of which is digitalization. It should be remembered that five new jobs emerge in the place of an obsolete one. The ability to adapt is therefore crucial, as in any evolutionary process.