How the World’s Biggest Macro Hedge Funds Are Using AI | Jan Szilagyi

In this episode of Forward Guidance, host welcomes Jan Szilagyi, CEO and co-founder of Reflexivity, an AI software firm focused on empowering global macro hedge funds with advanced data synthesis and decision-making tools. Szilagyi shares his journey from a math degree at Yale to working with Stanley Druckenmiller and managing portfolios at Fortress, ultimately leading to the founding of Reflexivity. The core of Reflexivity lies in leveraging AI—specifically large language models combined with a proprietary knowledge graph—to tackle the 'unknown unknowns' in financial markets. By enabling real-time, multi-dimensional analysis of complex economic events, the platform helps investors test unconventional ideas quickly, uncover hidden market relationships, and identify blind spots. Szilagyi emphasizes that while AI won't replace human judgment, it dramatically enhances the speed and depth of insight generation, particularly in data-scarce environments like emerging markets crises or oil supply shocks. He also discusses how AI agents could revolutionize trade execution and behavioral analysis, while cautioning that hallucinations are mitigated through code-first outputs and auditable data pipelines. Looking ahead, he forecasts a productivity boom driven by AI, but warns of real-world resource constraints—like helium and semiconductors—that could fuel inflation despite long-term disinflationary potential. Central banks, he argues, must navigate this duality carefully, balancing innovation with price stability. Key takeaways include: 1) AI is most powerful not for replacing human insight, but for enabling faster, deeper exploration of complex market dynamics; 2) The real edge in investing will shift from data access to the quality of questions asked; 3) AI tools like Reflexivity reduce the risk of missing critical market signals by systematically mapping ripple effects across financial systems; 4) The labor market will face disruption, but AI also offers unprecedented upskilling opportunities; 5) Central banks face a complex challenge: supporting a productivity boom without fueling inflation, especially as AI infrastructure demands real-world commodities. Overall, the episode paints a picture of AI as a transformative but not magical force—its value lies in amplifying human intelligence, not replacing it.