Author(s): Datasphere Initiative
The AI Sandboxes and the Private Sector report explores the rapidly expanding role of sandboxes as essential tools for artificial intelligence (AI) governance and responsible industry adoption.
As businesses navigate intense commercial pressures to deploy AI rapidly alongside a fragmented and uncertain global regulatory landscape, sandboxes have evolved far beyond their original fintech origins. Today, they serve as critical, controlled learning environments where AI systems and emerging governance approaches can be tested simultaneously under built-in safeguards.
Moving past a traditional public-sector-only viewpoint, this report decodes the global AI sandbox ecosystem through data spanning 90 AI sandboxes across 39 countries. It outlines the distinct strategic roles that businesses can adopt—whether participating directly as innovators, enabling testing as technical infrastructure providers, or hosting operational testing spaces themselves.
Building on the classifications established in the Datasphere Initiative’s Sandboxes for Data (2022) and Sandboxes for Digital Public Infrastructure (2026) reports, this analysis bridges the gap between abstract policy design and real-world execution. It identifies the core incentives drawing companies to these frameworks, such as trust-building, technical validation, and data/compute access, while directly addressing the persistent barriers to participation, including concerns over intellectual property, liability, and cross-border scaling.
The report concludes with practical, actionable recommendations for policymakers looking to attract diverse private sector participants and an AI Regulatory Sandbox Business Participation Checklist designed to guide startups, SMEs, and enterprise boards through the lifecycle of a sandbox engagement. Ultimately, the findings offer a strategic roadmap for turning isolated experiments into shared infrastructures for global learning, trust, and market readiness.
Learn more about our sandboxes work here.