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Aspects of Monetization of Various Spheres of Activity Using Artificial Intelligence Systems

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  • Evgeny Bryndin

    (Research Department, Research Center Natural Informatics, Novosibirsk, Russia)

Abstract

Monetization of various industries using intelligent systems involves using different monetization models, creating suitable artificial intelligence systems, developing a strategy, and evaluating effectiveness. There are many monetization options, depending on the type of product and industry specifics. This allows companies to build a regular user base and guaranteed revenue, as well as retain them by developing new products and offering a wide selection. Companies in one industry try to adhere to the generally accepted rules that users are accustomed to; otherwise, it is difficult to transition them to a different format. Some companies use mixed monetization models. For example, a user on Ozon pays the cost of delivery to their city, but the marketplace offers them a premium plan, a monthly subscription, and receives more favorable delivery terms and other bonuses, while sellers pay Ozon a commission—these are different monetization methods. After launching monetization, it is important to track key metrics to understand the success of your strategy. Regular data analysis allows for flexible strategy changes, testing, and selection of effective intelligent systems, formats, and tariffs, maximizing overall monetization efficiency.

Suggested Citation

  • Evgeny Bryndin, 2026. "Aspects of Monetization of Various Spheres of Activity Using Artificial Intelligence Systems," Journal of World Economy, Paradigm Academic Press, vol. 5(1), pages 21-29, March.
    • Handle: RePEc:bdz:jouwec:v:5:y:2026:i:1:p:21-29
    DOI: 10.63593/JWE.2026.03.03
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