International Conference on AI-driven Economic Development, Financial Innovation, and Industrial Transformation 2026
September 29 - October 2, 2026, Bled, Slovenia
AI-DEFIT 2026 is in conjunction with IIKI 2026.
Conference Overview
The AI-DEFIT 2026 provides a premier global forum for scholars, researchers, policymakers, and practitioners to examine the profound impact
of Artificial Intelligence on economic paradigms, financial ecosystems, and industrial frameworks. As digital integration becomes the bedrock
of the global economy, AI technologies are not merely augmenting existing processes but are fundamentally redefining financial services,
corporate productivity, and economic governance.
AI-DEFIT 2026 seeks to bridge the gap between theoretical and empirical developments, fostering interdisciplinary dialogue on the future of
AI-driven economies. Participants will benefit from networking with leading experts, keynote sessions on emerging trends, and opportunities
to influence global AI policy. Join us in the picturesque setting of Bled, Slovenia, for insightful discussions that shape innovative and
sustainable economic futures.
Research Tracks & Topics
We welcome original research, including theoretical models, empirical studies, and policy-oriented analyses. Topics of interest include,
but are not limited to:
Track A: AI and Economic Development
Track Chair: Tingqiang Chen
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.
Track B: AI-Driven Financial Innovation
Track Chair: Yezhou Sha
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).
Track C: AI and Industrial Transformation
Track Chair: Xiaoping Zeng
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.
Special Session: Agentic Economy and Blockchain: AI Agents, Decentralized Infrastructure, and the Future of Digital Finance
Session Chair: Ruidong Zhang
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.
Submission Guidelines
We solicit the following submission categories:
Full research papers (describing original and unpublished work)
Short papers and position papers (significant work-in-progress or visionary ideas)
Special session proposals (thematically focused collections of papers)
Workshop proposals (half- or full-day events on emerging topics)
All submissions must be original and unpublished, and not under simultaneous review elsewhere.