I am a Visiting Professor of Economics and Finance focused on how frontier technologies, especially AI, are reshaping markets, incentives, and global competition.

My work applies game theory and corporate governance insights to AI regulation, alongside quantitative finance to understand how markets function in an era of machine intelligence. My current research examines how AI erodes traditional information advantages, pushing markets toward what I describe as Computational Symmetry—a state where informational arbitrage disappears and sustaining alpha becomes increasingly difficult.

• 🔭 I'm currently completing a textbook on the economics and governance of AI systems.

• 🔭 I'm currently working on several artificial intelligence papers in the intersection of technology and financial markets/policymaking.

  • Computational Symmetry: How AI collapses private information advantages
    • The Convergence of Intelligence and the Dissolution of Alpha: AI Ubiquity as the Realization of Strong Form Efficiency, in the book chapter--Markets and Artificial Intelligence, The Economics of AI.
  • Regulatory Game Theory: Strategic competition in global AI governance
    • AI Regulation Regimes and Competitive Outcomes: A Game-Theoretic Analysis of Regulatory Competition in Frontier Technologies, in the book chapter--Regulation Regimes and Artificial Intelligence, The Economics of AI.

• 💬 Ask me about AI Economics, AI Safety, and Labor Market Impacts to Technology.

• 📫 How to reach me: spaul@bw.edu

• 😄 Pronouns: He/Him

• ⚡ Fun fact: Robotics Engineer ML/AI--with--Finance doctorate.

• Teach Masters-level Analytics and Programming courses.