@article{article_1651409, title={Rational Expectations Hypothesis: AI’s Impact on Rationality Analysis}, journal={JOEEP: Journal of Emerging Economies and Policy}, volume={10}, pages={1–9}, year={2025}, author={Yılmaz, Sema and Syed, Hassan and Özbay, Rahmi Deniz and Katterbauer, Klemens}, keywords={Artificial Intelligence, Rationality Expectations, Rational Behavior, Rational Analysis}, abstract={Artificial intelligence (AI) significantly impacts the analysis of economic rationality by processing large data sets and optimizing complex decision-making processes. Traditional economic theory assumes agents make consistent, rational decisions, but this is not always feasible due to unknowns in solving complex problems. AI’s real-time analysis and predictive capabilities can improve accuracy and efficiency, adapting to changing conditions and new data. However, AI models can be biased and lack human skepticism, leading to erroneous analyses and the "black box problem" of unexplained decision-making processes. Despite these limitations, AI can enhance utility-maximizing decisions by offering a more objective view. Yet, reliance on AI could diminish confidence in human decision-making, creating a dependency. This paper explores AI’s role in economic rationality as both an opportunity and a risk.}, number={1}, publisher={Seyfettin ERDOĞAN}