Tracy Alloway

AI position

Aware of x-risk

Hosted Anthropic co-founder Jack Clark for a direct discussion of existential risk and AI safety research.

Why influential

Shapes market and policy expectations by interpreting economic data, corporate decisions and regulatory choices for influential professional audiences. Primary policy lanes: markets; supply chains; finance; global economy.

Who pays attention

Traders, economists, regulators, investors, supply-chain specialists and policy staff

Work samples

• Anthropic's Co-Founder and Top Economist on Doing Research at the AI Frontier

  Jun 19, 2026 · podcast

  Odd Lots episode with Anthropic co-founder Jack Clark and head economist Peter McCrory on AI safety, recursive self-improvement, labor-market and existential-risk questions, and Trump administration restrictions on foreign access to Anthropic models.

• Jack Morris on Finding the Next Big AI Breakthrough

  Sep 26, 2025 · podcast

  Interview with Jack Morris, Cornell PhD candidate and part-time Meta AI researcher, on why AI breakthroughs are unpredictable, open- vs closed-source, and US-China lab competition.

• James van Geelen on His Viral AI Doom Scenario

  Feb 28, 2026 · podcast

  Discussion with Citrini Research founder James van Geelen about his viral AI scenario/doom analysis; guest is a markets researcher, not an AI-industry figure.

• Goldman's Hatzius and Snider on the Outlook for 2026

  Dec 29, 2025 · podcast

  Macro outlook episode with Goldman Sachs economists, representative of the show's core markets/finance beat.

AI-world contacts

• Jack Clark — Co-founder, Head of Policy, Anthropic

  • Hosted / interviewedsource · interview · Jun 19, 2026 — Co-hosted (with Joe Weisenthal) a long-form Odd Lots interview with Anthropic co-founder Jack Clark and chief economist Peter McCrory on AI safety, existential risk, recursive self-improvement, and Anthropic's research culture.

• Jack Morris — AI researcher, PhD candidate, Meta / Cornell University

  • Wrote aboutdirectness unclassified — Guest on Odd Lots discussing unpredictability of AI breakthroughs, embedding models, and open vs. closed-source AI development.