Research Series
Papers, Briefs & Vignettes
Long-form policy research from C:TPI directors, fellows, and partners. Each brief delivers safeguard recommendations grounded in the convergence of AI, blockchain, and quantum.
Governing the Intelligence Age
A Research Introduction and Series Overview
AI, blockchain, and quantum computing are not three separate policy problems. They are three converging forces reshaping the same underlying infrastructure of economic activity, institutional trust, legal accountability, and governance itself. This introduction sets out the problem C:TPI is organized around and previews the four working papers in the Convergence Policy Series.
Read the introduction
From Tool to Actor
AI Legal Standing, Economic Agency, and the Case for Regulatory Experimentation
AI systems are increasingly acting in the economy, yet legal frameworks have not kept pace. The urgent question is not whether AI deserves personhood, but who is accountable when an AI system acts. This paper proposes a five-stage capacity ladder for AI legal policy, surveys developments across nine jurisdictions, and argues that the architecture for delegated AI action, entity wrappers, auditability, commerce safeguards, and state-level sandboxes must be designed and tested now.
Economic Development in the Age of Human-AI Dyads
How Jurisdictions Compete for Investment, Talent, and Innovation in the Age of Human-AI Decision-Making
Site selectors, investors, and founders increasingly research regions through AI-assisted workflows. This paper introduces the visibility gap, the mismatch between a region's actual capability and its AI-assisted representation, and proposes a six-flywheel operating model, a post-AI economic development scorecard, and an Open Proofs Compact, with Seattle as a structured pilot.
Carrots, Sticks, and Challenges
How Governments Propel Society Into the Future Through Regulation, Incentives, and Mission-Driven Innovation
Beyond carrots and sticks lies a third, underused policy instrument: the challenge. A carrot scales a known solution; a challenge discovers which solutions are viable. This paper proposes an innovation maturity model that matches instruments to market conditions, a five-step Challenge-to-Market Program for municipalities, and an implementation roadmap for officials at every level of government.
Mapping the Global AI Policy Landscape
Regulation, Incentives, and Innovation Funding
Drawing on comparative regulatory inventories across Asia, Europe, Latin America, Africa, the Middle East, and the United States, this paper maps global AI and quantum policy approaches as Sticks, Carrots, and Challenges. Nine vignettes show that durable innovation ecosystems never rely on a single instrument, and that instrument selection is a design problem, not an ideological choice.