The economics
of artificial intelligence.
JA Worldwide
Approach
A researcher who builds, and a builder who thinks in systems.
Howard studies how multi-agent LLMs behave and what AI does to markets and work. Previously, he was an economist combining ML with Econometrics for interest rates setting and cost-of-living sentiment analysis. His current research at the Oxford Internet Institute evaluates misalignment spillover among competing AI agents.
He is equally a builder. Howard founded the JA Institute, the research, innovation, and thought leadership arm of JA Worldwide. He previously built a Webby-honored investment app and a multi-vendor e-commerce platform that was shortlisted for the Global Student Prize.
Howard hosted a data science industry conference for 1,800+ people and technology and society summit for 210+ senior leaders in the Oxford Union. His personal story is featured in Modern Achievement, the #1 bestselling book by Asheesh Advani and Marshall Goldsmith.
Speaking
Talks that connect the frontier of AI to the economics of everyday life.
For technologists, business leaders, policymakers, journalists, and researchers — keynotes, panels, and workshops. Selected themes:
Oxford Union
Oxford Saïd Business School
Rio de Janeiro, Brazil
Oxford Blavatnik School of Government
Stockholm, Sweden
Toronto, Canada
Kampala, Uganda
IDEAS
Notes on AI, economics, and
what it takes to build.
Chain-of-thought traces carry compositional signatures of correctness — but their sequential order adds almost nothing to LLM performance.
Mapping the geometry of ideological space across 100 countries and four regime types.
A critical reading of the LLM alignment, and why representation alone cannot settle alignment.
A conversation with the Blavatnik School of Government, University of Oxford on leading one of the largest youth-serving non-profits in the world.
Connecting the AI frontier to everyday economic life.
REACH OUT
SPEAKING, COLLABORATION, OR A GOOD CONVERSATION ABOUT AI AND ECONOMICS — I READ EVERY MESSAGE.