Technical knowledge allows the leaders of Russian companies to notice the benefits of AI earlier than others, according to Microsoft. Now the country is an unexpected leader in the ranking of the implementation of such solutions.

Typically, AI is considered as a technology of “optimization”, that is, mass dismissal of ordinary employees. In its extensive study, Microsoft drew attention to the value of AI for progressive leaders of fast-growing companies. In Russia, these are, according to MS, more than in other developed economies.

Companies whose business is growing by more than 10% per year were considered fast-growing by Microsoft’s estimation. The survey of leaders conducted in eight countries. In addition to Russia, these are France, Germany, Italy, the Netherlands, Switzerland, the United Kingdom and the United States.

The study showed that 30% of advanced Russian companies are actively introducing artificial intelligence with an average of 22%.

Perhaps partly this result was influenced by the fact that organizing a fast-growing business in Russia is in itself a difficult task. But Microsoft explains this by the high level of technical knowledge of Russian managers.

“It is pleasant to note that it was Russian leaders who traditionally have a very high level of technological expertise that were the first to actively implement AI in the world,” Dmitry Khalin, technical director of MS in Russia, quoted by Kommersant.

Russian heads of companies also ranked second in terms of a positive attitude towards AI: 73% of directors believe that technology will positively affect their operations.

The main priorities of using AI in Russia were the setting of correct goals, the development of business ideas and the identification of new market opportunities, as well as decision-making (23%).

Until it’s not too late

The situation with the introduction of AI solutions in Microsoft is called the “start of a big race”. The winners will be those who experiment boldly with certain niches, then quickly learn and scale solutions. However, for some apologists of new technologies, excessive enthusiasm is expensive. For example, at the end of February, the head of Sberbank, German Gref, stated that errors in algorithms cost a financial organization billions of rubles.

MS, however, is confident that the speed of implementation will provide a decisive advantage. This is one of the key parameters that distinguish actively growing companies. 94% of managers stated their intention to use AI within the next three years and more than half promise to implement the first solutions within a year. For companies with modest indicators, typical implementation guidelines are three to five years.

“For companies and leaders who are lagging behind in the course of AI research, it is not too late to start in order to increase their chances of competition,” the study says.

Recently, Deloitte analysts have identified several key areas that will help businesses adapt to new conditions and win – or preserve – their place among the giants.

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