AI Impact Summit 2026 positions India as voice of the Global South

Written by Pooja Sharma

As artificial intelligence moves from promise to power, India’s first Global South-led AI Impact Summit signals something much bigger than any other collection of technologies. The five-day event, held at the Bharat Mandapam in New Delhi, brought together heads of state, regulators, CEOs, and researchers to discuss what will define the next world order: who will build AI, who will govern it, and who will ultimately benefit from it.

India’s prime minister set the tone for his inauguration, calling AI a “tipping point in civilization” and positioning the technology as a tool for inclusion rather than domination. Sending the message is intentional. India wants to move beyond being a technology adopter and become a rule-shaper, especially for the Global South. This means promoting ethical guardrails, multilingual accessibility, and equitable innovation while resisting the concentration of AI power in a few Western and Chinese ecosystems.

But ambition alone is not strategy. The real test will be whether India, and broader emerging markets, can translate the governance narrative into scalable and impactful use cases. This is where financial services, perhaps the most regulated and data-sensitive industry, becomes a testing ground.

as Raj Abrol, CEO of Galytix“The age of AI with real, measurable impact is truly upon us, and the opportunity for financial services companies has never been greater. The companies that will win will be those that build systems that deliver not just fast, but accurate decision-making. Because in financial services, trust is not just a nice-to-have, it’s everything. My concern is that LLMs that have web-scraped are not using AI that creates hallucinations or amplification.” Too many providers are repackaging them as “agents.” It introduces bias, creates technical debt, and exposes banks and insurance companies to substantial risk when it comes to their most important decisions. The real opportunity lies in adopting domain-specific AI with explainability at its core. This is not just a moat. ”

His warning cuts to the heart of the global AI debate. The current wave of enthusiasm for generative AI risks prioritizing speed, scale, and investor hype over reliability and accountability. Nowhere is this more at risk than in credit decisions, fraud detection, underwriting, and compliance. In these fields, hallucinations are not a glitch but a systemic risk.

The summit’s agenda reflects this tension. While world leaders like Google’s Sundar Pichai and executives at OpenAI and Microsoft are grappling with the future of agent systems and autonomous decision-making, policymakers are increasingly focusing on accountability, transparency, and safety. Discussions around age-based social media management, digital identity and AI governance highlight a growing recognition that unchecked developments can exacerbate rather than reduce inequalities.

India’s domestic ecosystem is also under the microscope. Sovereign AI initiatives such as Sarvam AI and BharatGen aim to build linguistic and cultural intelligence appropriate to local realities. However, adoption remains uneven across the enterprise, with most organizations still allocating a modest percentage of their IT budgets to AI. There remains a gap between experimentation and corporate transformation.

Still, capital is flowing in. Investments such as Blackstone’s funding for Neisa and market momentum around companies such as Fractal Analytics signal long-term confidence in India’s AI trajectory. After all, the summit is not about technology, it’s about power. The question is not whether AI will reshape global finance, governance, and society; it is already doing so. The real question is: Who defines the rules? If India is successful, it has the potential to reframe AI governance through the lens of inclusion, sovereignty, and trust. If that fails, the future of AI may be written elsewhere.

The message for financial services is clear. The next competitive edge will not come from faster algorithms, but from accountable, explainable, domain-deep intelligence. In the age of AI, trust will be the ultimate currency, and those who get it right will build not just a platform, but a lasting moat.