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Journal of Applied Research
Journals / Journal of Applied Research / Issue 5 / The role of artificial intelligence in predicting economic risks
UDC 338

THE ROLE OF ARTIFICIAL INTELLIGENCE IN PREDICTING ECONOMIC RISKS The role of artificial intelligence in predicting economic risks

Published in Journal of Applied Research · Issue 5 · ELocator: 89-96 · Rubric: ECONOMICS. ECONOMIC SCIENCES.
DOI: https://doi.org/10.34755/IROK.2026.28.89.011
Received: 08.08.2026 Accepted: 12.08.2026 Published: 12.08.2026
Authors
EL
Elina Sultanova
RU
Ruslan V. Batashev
AD
Adelia Amirkhanova
ABSTRACT
The article explores the transformational role of artificial intelligence in predicting economic risks, from the micro-level of financial distress of individual companies to the macro-level of systemic financial instability. Based on the analysis of advanced research – LLM forecasting of financial network indicators, a two-stage BIS market stress monitoring system, and a methodology for predicting financial distress based on AI implementation signals – key mechanisms for improving forecast accuracy are considered.: LLM's ability to integrate heterogeneous data types, identify nonlinear patterns, and generate interpretable explanations. Special attention is paid to new systemic risks generated by AI itself: algorithmic herd behavior, cognitive dependence, and concentration on external providers. Based on empirical data, two tables are presented that characterize the accuracy of AI models in forecasting and key channels of systemic risk. It is concluded that AI is both a solution and a source of economic risks, requiring the formation of a new risk management paradigm combining technological innovation with human oversight and international coordination.
KEYWORDS
artificial intelligence, economic risks, forecasting, systemic risk, large language models, financial stability
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