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JOURNALS // Intelligent systems. Theory and applications // Archive

Intelligent systems. Theory and applications, 2022 Volume 26, Issue 1, Pages 44–49 (Mi ista332)

Part 1. Plenary reports

Artificial intelligence services in modern economy

M. I. Lugacheva, K. G. Skripkina, R. D. Gimranovb

a Lomonosov Moscow State University, Faculty of Economics
b PAO Surgutneftegaz

Abstract: In the contemporary economy, we see evidence of the "productivity paradox" - investments in new information technology do not increase labor productivity on the national economy level. We suppose that centralized online platforms dominating the modern digital economy are the key drivers of this paradox. Artificial Intelligence (AI) development strengthens their dominance due to the concentration of data necessary for AI algorithms learning. At the same time, the business models of online platforms were developed at the turn of the 1990s - 2000s and may not be optimal in the presence of other metaphors, primarily peer-to-peer networks. To limit the dominance of centralized online platforms, the government needs to change its policy towards them, including leading domestic operators. To reduce platform operators' monopoly power, we propose dividing operators into companies that support collecting and processing data on platforms and business operators that use this data to provide end-user services.

Keywords: productivity paradox, centralized online platform, business model, peer-to-peer platform.



© Steklov Math. Inst. of RAS, 2024