Influence of generative artificial intelligence on company operations

Dmitriy A. Zhdanov ()

Economics of Contemporary Russia, 2024, issue 1

Abstract: The phenomenon of generative artificial intelligence (GAI) and, in particular, the ChatGPT service has clearly demonstrated that the future is already at the doorstep. It became clear that now we will have to live in alliance with AI, and a natural question arose – ​how best to interact with it, how it can help the company? An answer to these questions is presented in the article. Its goal is to determine the impact of AI and, first, – ​GAI on the activities of companies, on the personnel requirements, as well as to understand in which areas it can bring the greatest return, and also to evaluate the procedure for installing GAI into the work of a company. The initial data for the study were surveys of employees of companies using GAI. Based on the aggregation of survey results, business areas in which GAI provides the greatest return were identified. The individual functional areas of the company were identified where its use is most effective. It is also shown that this technology cannot massively replace low-skilled employees as help knowledge workers and perform specialized knowledge processing. Another result of the study was the determination of the sequence of stages that the deployment of this technology will undergo. It is shown that the composition and nature of the stages will, on the one hand, be determined by the maturity and capabilities of the AI itself, and on the other, – ​by the readiness of the company’s personnel to use it and the trust of employees in it. Modern business is largely data-driven. In this regard, the role of GAI in accumulating corporate knowledge and providing access to it was demonstrated. Generative intelligence helps convert corporate expertise into value, enabling a company to run a knowledge-based business. Hence, one of the key factors determining the success of GAI application is the presence in the company of the detailed data characterizing its activities. It is noted that this technology can increase the competitiveness of the company by establishing an end-to-end business knowledge management system.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:ack:journl:y:2024:id:979

DOI: 10.33293/1609-1442-2024-1(104)-89-102

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