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THE JOURNAL OF ECONOMIC SCIENCES: THEORY AND PRACTICE, V.83, # 1, 2026, pp. 107-131
Role of AI-Driven Investment Behavioural Biases in AI
Investing
and Sustainability • Loss aversion bias,
•
Artificial
intelligence, • Overconfidence
• Automation, bias,
• Green investment, • Robo-advisor
• Information • Trust
transparency,
• Financial services
Theme
• based
Clusters
Adoption of Fintech Retail investor
platforms for investing decision-making and
• Financial mobile stock trading
literacy, outcomes
• fintech, • Investment decision-
• Neobroker, making,
• Trading app • mobile stock
trading,
• Retail investors
Figure 5: Thematic based cluster analysis
Cluster 1: Role of AI-Driven Investment and Sustainability
This theme encapsulates the ways in which artificial intelligence (AI) transforms
sustainability, efficiency, and investment decision-making across industries.
According to research, AI is a strategic facilitator of green finance, transparency, and
investment optimization in addition to being a prediction tool. Many studies
demonstrate how AI improves investment efficiency and decision-making quality,
especially at the company and system levels (Shen et al., 2025; Zhao et al., 2024).
Additionally, AI improves data-driven decision contexts, allowing for more effective
capital allocation in the face of uncertainty (Antoncic, 2020). A strong substream
highlights how AI impacts energy transitions and environmental performance, linking
it to green and sustainable investment objectives (Akram et al., 2025; Hassan &
Hassan, 2025). However, AI-powered models are crucial in decision-making
regarding energy storage, carbon capture, and infrastructure investments and help to
make better decisions (Kou et al., 2025). Additionally, AI helps transform financial
services through cognitive analytics and automation (Ashta & Herrmann, 2021). This
strengthens the idea that AI, which includes automation, efficiency, and sustainability,
is crucial to next-generation investment ecosystems.
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