Research
Research overview
Our research and publications focus on three themes: implementing generative AI in business, applying economics to business, and policy recommendations.
Research and publications
Prediction Markets: Know the Future, Prepare for the Future
Atlas Support founder Seiryu Ando's Japanese-language Kindle book examines prediction markets as a way to bring together information about the future and prepare for uncertainty.
The Temporal Structure of Forecast Error on Polymarket: A Decomposition of Brier Loss over the 30 Days before Operational Market Closure
Seiryu Ando's SSRN working paper studies forecast error before operational market closure across 1,818 Polymarket markets and 1,393 events. This summary covers the August 15, 2026 revision.
From Tokens to Firm Value: A Financial Framework for Token-to-Profit Conversion in Generative AI Adoption
Seiryu Ando's SSRN working paper presents Token-to-Profit Conversion, a financial framework for connecting generative AI use to operating profit, returns on capital, and firm value.
AI Adoption Through Transaction Cost Economics
A research note on how transaction costs help explain when firms should outsource, internalize, or agentize AI-enabled work.
RAG and Organizational Memory: Internal Search as Knowledge Management
A research note on how RAG systems can be understood through organizational memory, knowledge ownership, and retrieval design.
AI Agents and the Principal-Agent Problem
A research note on delegation, monitoring, incentives, and accountability when AI agents act on behalf of people and firms.
Workflow Automation and Capabilities: Turning AI Into an Operating Ability
A management research note on why AI automation becomes durable only when it is absorbed into routines, roles, and organizational capabilities.
The principles behind our research
Our research is guided by the Atlas Support Charter, including our commitments to intellectual leadership and the advancement of free-market capitalism.
Read the Atlas Support Charter