Recently, the popularity and adoption of artificial intelligence (AI) and machine learning (ML) into various business processes has been actively growing. This is evidenced, for example, by the steadily increasing media coverage, which indicates an increasing relevance of the technology. A growing number of application practices confirm the fact: ICT.Moscow database, in 2021 alone, collected more than a hundred of them. However, the use of AI in business processes is accompanied by a rather significant stop factor: in order to effectively use ML algorithms to solve problems, you need to be a specialist in ML and AI. This problem can be solved in various ways. For example, Cornell University in the United States is developing a platform with a "transfer learning" approach that allows people without special skills to use ML algorithms. Is the field of AI on the verge of a tipping point, when, thanks to such specialized interfaces, ML will in fact become a publicly available tool that does not require deep specialized knowledge?