AIGE-2026

AIGE-2026 invites original research papers, case studies, conceptual frameworks, and policy analyses that explore the expanding role of Artificial Intelligence in shaping global economic systems, management practices, and education. This multidisciplinary conference brings together economists, educators, policymakers, business leaders, data scientists, development experts, and technologists to examine how AI is influencing decision-making, productivity, human capital development, and inclusive growth. As economies adapt to digital transformation, AIGE-2026 provides a platform to critically engage with the integration of AI across sectors such as finance, education, public policy, entrepreneurship, and labor markets. The conference aims to foster meaningful dialogue around strategic innovation, ethical governance, workforce transitions, and policy frameworks that support responsible, inclusive, and sustainable adoption of AI in both developed and emerging economies.

1. AI and the Future of Economic Systems

• AI in macroeconomic modeling and policy design
• Machine learning for GDP, inflation, and employment forecasting
• AI in economic development planning for emerging economies
• AI-enabled tax systems and revenue forecasting
• Data-driven international trade and economic diplomacy
• AI for monitoring inflation, interest rates, and fiscal metrics
• Use of real-time big data in economic planning
• Economic surveillance systems using AI and predictive tools
• Regional integration and AI-powered trade policy modeling
• Resilience of economic systems under AI-led automation

2. Strategic Management and Digital Transformation

• AI in business intelligence and competitive strategy
• Digital transformation frameworks in public and private sectors
• Strategic agility and innovation in AI-driven firms
• AI for market sensing and trend prediction
• Leadership in tech-integrated organizations
• Human-AI collaboration in decision-making processes
• Strategic realignment under technological disruption
• Business model innovation in the AI economy
• Technology adoption and change management
• KPIs and performance tracking using smart dashboards

3. Financial Technologies and the AI-Driven Financial Ecosystem

• AI in algorithmic trading and robo-advisory platforms
• Blockchain and distributed ledger technologies in financial services
• Risk modeling and fraud detection using machine learning
• FinTech regulation and global compliance frameworks
• AI for credit scoring, lending, and financial inclusion
• Central bank digital currencies (CBDCs) and AI integration
• Digital asset markets and AI-based valuation techniques
• Real-time transaction analysis and anti-money laundering (AML)
• Financial literacy and consumer protection in the digital age
• Microfinance and mobile banking with AI optimization

4. AI, Work, and Organizational Change

• Workforce automation and its economic implications
• Redefining job roles in AI-augmented environments
• Predictive analytics for workforce planning
• Human resource analytics and smart recruitment
• Reskilling and upskilling strategies for future-readiness
• Organizational culture in high-tech workspaces
• Employee wellbeing and AI-driven monitoring tools
• Designing inclusive workplace policies in digital economies
• Labor laws and AI-driven gig economies
• Productivity measurement in remote and hybrid work

5. Education, AI, and Human Capital Development

• Adaptive learning platforms and AI-based content delivery
• AI in academic performance prediction and intervention
• Personalized education pathways using learner data
• Skill-gap identification using labor market intelligence
• Lifelong learning ecosystems powered by EdTech
• Public policy for AI integration in education systems
• Teacher training and support in AI-integrated environments
• Micro-credentials and AI-based skills recognition
• AI for administrative automation in education institutions
• National AI literacy and digital skill-building frameworks

6. Innovation, Entrepreneurship, and AI Startups

• Startup ecosystems in AI and deep tech sectors
• Venture capital and funding dynamics in AI-driven businesses
• AI for product innovation and prototyping
• Technology transfer from labs to markets
• Innovation clusters and AI-powered incubators
• University-industry linkages in AI entrepreneurship
• Scaling challenges for AI-based ventures
• Regulatory sandboxes for experimentation in AI solutions
• Design thinking in AI product and service development
• Market forecasting and customer segmentation using AI

7. Governance, Policy, and Ethical AI

• AI governance models at national and global levels
• Data privacy regulations and digital rights
• Algorithmic transparency and explainability in policy contexts
• Ethical frameworks for public and corporate AI use
• Regulation of AI monopolies and platform economies
• Inclusion and fairness in AI policy implementation
• AI in electoral systems and governance transparency
• Ethics of surveillance, monitoring, and data harvesting
• Cross-border data transfer, jurisdiction, and regulation
• Multi-stakeholder governance in the AI era

8. Inclusive Growth, Equity, and the Digital Divide

• AI for rural development and economic empowerment
• Gender equity in the digital and AI workforce
• Universal access to digital infrastructure and tools
• Cultural adaptation of AI solutions across economies
• Mobile-first strategies for underserved populations
• Bridging gaps in digital literacy and technical skills
• Equitable data representation in AI algorithms
• Local innovation ecosystems in low-income regions
• Indigenous knowledge and community-based tech models
• Public-private partnerships for inclusive digital development

9. Smart Infrastructure, Urbanization, and Sustainable Development

• AI in smart city planning and management
• Predictive tools for infrastructure investment and ROI
• Smart logistics and urban mobility solutions
• Sustainable housing and energy efficiency with AI
• Waste, water, and energy resource optimization
• Climate impact modeling and AI-based solutions
• Green finance and investment strategies using AI
• Circular economy models with smart monitoring systems
• AI in disaster response and urban risk mitigation
• Urban informatics and real-time citizen feedback systems

10. Global Trade, Business Intelligence, and Market Access

• AI in global trade forecasting and market analysis
• Digital supply chain management and optimization
• Business intelligence for cross-border expansion
• Real-time logistics and inventory tracking using IoT + AI
• Export promotion through smart data and automation
• E-commerce analytics and AI-driven customer insights
• Trade financing using blockchain and AI validation
• B2B platforms and intelligent matchmaking algorithms
• Monitoring global value chains with predictive modeling
• AI for compliance with international trade regulations