The use of artificial intelligence (AI) technologies, including neural networks, reduces the creativity of employees. This was reported by the American consulting company Boston Consulting Group.
Experts from the Kommersant publication state that neural networks, on the one hand, simplify the work of employees, and on the other hand, negatively affect their efficiency. According to Alexander Onikienko, head of the digital department at NF Group, highly qualified specialists do not need a chatbot. The more experienced an employee is, the faster and better he will cope with the task than a neural network, he emphasized.
Another interlocutor of the publication, Alexander Serbul, an expert on neural networks at Bitrix24, is confident that the use of AI requires strict control of employees' work by the company's management. He explained that neural networks such as ChatGPT have poor fact-checking. Therefore, you have to double-check the result, he added. Serbul did not rule out that users will soon be surrounded by "soulless content" created not by humans, but by neural networks.
According to the Russian government, more than half of Russian companies are already using AI. The Digital Economy ANO expects that AI's contribution to Russia's GDP will be 2% by 2030.
Earlier it was reported that MTS AI plans to start testing its neural network in Russia.
Now on home
Start of deliveries scheduled for 2027
Over 51,000 new motorcycles were sold in Russia in 2025
The car will take at least a year to assemble
The application's audience has reached 20 million users
The model will be included in the list of cars for taxis, price - from 2.25 million rubles
All parking lots of the "Administrator of the Moscow Parking Space" are connected to the service
The cars will be supplied to the Moscow Transport Service Directorate
Deliveries to India may begin in 2028
The technology provides automated search for all types of defects in power units
The plane flew 500 km, accelerating to 425 km/h
The plant stated that the information about the termination of purchases for models 6 and 8 is not true
Scientists are using the "Ekran-M" installation