Shaping the AI Sandbox Ecosystem for the Intelligent Age 2025

Introduction Artificial intelligence has the potential to significantly drive economic growth, offering substantial early- mover advantages to countries that proactively adopt a strategic approach to accelerating AI innovation.1 The current early phase of AI development is characterized by rapid advances and widespread discussion, making it challenging to distinguish between hype and actual progress. Nonetheless, with its capacity to emulate human- like thinking and behaviour, there is little doubt that AI represents a transformative force. For countries such as India, this presents a powerful opportunity to drive inclusive growth, enhance productivity and strengthen digital leadership. However, these gains come with significant risks – including algorithmic bias, privacy violations, safety concerns, regulatory uncertainty and most importantly the “unknown-unknown” risks. Balancing innovation with responsibility is now a global imperative. Nations must strike a careful balance – ensuring responsible design, development and adoption while rapidly building the infrastructure and institutional capacity required to promote AI innovation at scale. While India is well positioned with its thriving start- up ecosystem, digital public infrastructure (DPI) and deep talent pool, systemic challenges – such as limited access to computing infrastructure (compute) and high-quality data, lack of awareness around regulations and a nascent innovation ecosystem – continue to hinder scalable AI innovation. At the same time, the fast-changing nature of AI demands agile experimentation mechanisms to evaluate new technologies and translate them into real-world value. In response to this dual imperative, the AI for India 2030 initiative was launched by the World Economic Forum’s Centre for the Fourth Industrial Revolution India (C4IR India) in collaboration with the Ministry of Electronics and Information Technology (MeitY), the Office of the Principal Scientific Adviser (PSA) to the Government of India and the National Association of Software and Service Companies (Nasscom). The initiative brings together leaders in government, industry, start-ups and academia through a high- level advisory council of more than 20 experts to co-design approaches that enable responsible and inclusive AI adoption. The advisory council’s early deliberations highlighted the need for two foundational interventions to unlock AI’s value in India: –AI playbooks:2 Actionable frameworks to guide sectoral AI adoption in priority sectors (such as in agriculture, healthcare and micro-, small and medium enterprises [MSMEs]), including use cases, readiness assessments and policy recommendations –AI sandboxes: Frameworks for establishing safe and structured environments in which start- ups and innovators can test, validate and refine AI solutions using real-world data, compute infrastructure and regulatory guidance Of these, the AI sandbox workstream was specifically envisioned to address the key challenges at the ecosystem level through agile, secure and collaborative testing mechanisms. As frontier technologies such as agentic AI,3 physical intelligence, artificial superintelligence (ASI)4 and autonomous systems continue to evolve, the need for trusted testbeds that support responsible innovation and real-world validation has only become more urgent.Balancing rapid innovation with social responsibility is imperative for nations in the Intelligent Age. India’s demographic dividend is not just about people – it’s about use cases. The next billion Indians don’t want a chatbot – they want a doer. We should measure AI success not by model size, but by task completion at population scale. That’s where sandboxes – if designed right – can be India’s ‘launchpads’ for AI agents that serve Bharat. AI for India 2030 member Shaping the AI Sandbox Ecosystem for the Intelligent Age 5