1. Artificial Intelligence & Economic Dynamics

• Impact of AI on Total Factor Productivity (TFP) and Growth Models.
• Labor Market Disruptions: Automation, Skill-Biased Technological Change, and Wage Inequality.
• Micro-foundations of AI adoption and firm-level performance.
• New economic paradigms in the digital era.

2. Data Economy & Digital Governance

• Valuation and Market Mechanisms for Data as a Strategic Asset.
• Data Privacy, Algorithmic Transparency, and Cross-Border Data Regulation.
• Ethics of AI-driven Economic Decision-making.

1. Financial Innovation & Fintech Frontiers

• AI in Asset Pricing, High-Frequency Trading, and Portfolio Optimization.
• Credit Scoring, Fraud Detecting, and Predictive Risk Modeling with AI Technology.
• Decentralized Finance (DeFi), Blockchain Integration, and Digital Currencies.
• Financial Inclusion and the Democratizing Power of AI-Driven Banking.

2. Generative AI & Autonomous Agents in Finance

• Large Language Models (LLMs) for Financial Sentiment Analysis and Decision Support.
• Multi-Agent Systems (MAS) in Economic Simulations and Market Design.
• Generative AI in Corporate Disclosures and Financial Reporting.
• Governance, Ethics, and Regulatory Frameworks for Autonomous AI Agents.

3. Artificial Intelligence, Finance Innovation, and Societal Impact

• Systemic Risk and Financial Stability in AI-Dominated Markets.
• Behavioral Finance: Human-AI Interaction and Cognitive Biases.
• Responsible AI and Alignment with Sustainable Development Goals (SDGs).

1. AI Technologies and Industrial Applications

• Smart Manufacturing and Data-Driven Production Optimization.
• AI In Supply Chain Management and Operational Efficiency.
• Predictive Maintenance and Intelligent Asset Management.
• Generative AI in Industrial Design and Production Processes.

2. Economic and Organizational Implications

• AI-Driven Industrial Upgrading and Productivity Enhancement.
• Industrial Platforms, Digital Ecosystems, and Platform Governance.
• Human-AI Collaboration and Labor Transformation in Industries.
• AI-Enabled Decision-Making in Complex Industrial Systems.

The convergence of AI, autonomous agents, blockchain, and digital finance is creating the foundation for an emerging agentic economy, a new economic paradigm in which AI agents can perceive, decide, negotiate, transact, and coordinate economic activities with limited human intervention. In agentic economy, blockchain can serve as a critical trust infrastructure, enabling verifiable machine-to-machine transactions, decentralized identity, tokenized assets, transparent governance, and programmable interactions.

This special session aims to explore how autonomous AI agents and blockchain-based financial infrastructure may reshape digital finance, market organization, business models, and regulatory frameworks. The session will provide a multidisciplinary forum for researchers, practitioners, and policymakers to discuss both opportunities and risks in AI agent-driven financial ecosystems. It is especially relevant for scholars working at the intersection of fintech, digital assets, AI, decentralized systems, financial regulation, and platform governance.

Suggested Topics

The session welcomes theoretical, empirical, technical, and policy-oriented papers on topics including, but not limited to:

• Foundations of the Agentic Economy in Digital Finance.
• Autonomous Agents for Payments and Settlements.
• Blockchain as Trust Infrastructure for AI Agents.
• Agent Identity, Authentication, and On-Chain Reputation Systems.
• Tokenization and Agent-Mediated Asset Markets.
• Multi-Agent Coordination, Negotiation, and Market Design.
• DAO Governance and Intelligent Agent Participation.
• Risk Management, Cybersecurity, and Adversarial Behavior in Agentic Finance.
• Regulation, Compliance, and Legal Accountability of Autonomous Agents.
• Real-World Use Cases in DeFi, Banking, Insurance, Trade Finance, and Machine-to-Machine Commerce.