The Engine of Economic Growth
The development potential of artificial intelligence is staggering, with the power to fundamentally reshape industries and drive significant economic growth. Projections suggest AI could add trillions to the global economy within the next decade, and for
India, this could translate into an economic value of over $500 billion by 2030. This value comes from AI's ability to automate tasks, enhance productivity, and unlock new business models. For instance, AI is already helping to accelerate drug discovery, create hyper-personalised education and customer experiences, and make agricultural practices more efficient. In India, with its advanced digital public infrastructure and a massive young workforce, AI is seen not just as a tool for innovation but as a strategic enabler for solving pressing socio-economic challenges in healthcare, finance, and public services.
A Widening Governance Gap
While businesses and governments are rushing to adopt AI, the frameworks to govern it are lagging dangerously behind. This 'governance gap' is the central risk highlighted by recent global analysis. One 2026 report found that while 88% of organisations used AI in some capacity, only 8% had a comprehensive governance framework in place. This gap isn't just theoretical; it has measurable consequences. AI-related incidents, from data breaches to production issues, rose by 55% in 2025 alone. The risks are manifold: algorithmic bias reinforcing societal inequalities, a lack of transparency in automated decision-making, data privacy violations, and the potential for large-scale job displacement. Furthermore, the rise of AI-generated disinformation poses a direct threat to democratic processes and social cohesion.
The Tightrope Walk for Policymakers
The core challenge for governments is what one UN report calls the "evidence dilemma": policymakers need clear evidence to regulate effectively, but by the time the evidence is conclusive, it may be too late to control the technology. Moving too slowly on regulation risks allowing harms like bias, fraud, and manipulation to become entrenched. However, moving too quickly with overly restrictive rules could stifle innovation, ceding economic and technological advantages to other regions. This has created a global situation where AI deployment has consistently outpaced the infrastructure designed to keep it safe and aligned with societal values. The result is a high-stakes tightrope walk between fostering a multi-billion dollar industry and protecting citizens from its potential downsides.
The View from India
For India, the stakes are particularly high. The nation is poised to be a global leader in AI, but it faces unique challenges. While NITI Aayog's 'AI for All' strategy provides guidance, India currently lacks a comprehensive, legally binding framework to govern AI. This creates ambiguity around critical issues like liability for algorithmic errors and intellectual property. Key challenges include a significant digital divide, the need for widespread digital literacy, and the absence of a unified regulatory body for AI. Experts argue that India needs to plug gaps in its current legal systems rather than necessarily creating entirely new laws, focusing on a risk-based approach to regulation. The goal is to create a framework that enables innovation while ensuring accountability, a task that will require a concerted effort from government, industry, and civil society.
