By Shivi Agnihotri, SMP 2026
India’s technology story is entering a new phase. The opportunity is no longer only to build technology for India or to provide technology-enabled services to the world. It is to build businesses and capabilities in India that can solve complex, highly regulated problems at scale and compete globally.
My experience across Fintech organizations has given me a close view of this transition. Both operate in environments where technology and AI can create significant value, but where innovation cannot come at the expense of trust, security, accountability, or regulatory discipline. That tension, in my view, is not a constraint on India’s AI opportunity. It can become one of its strengths.
Financial services is an especially interesting test bed for AI. The sector generates enormous volumes of data and complex decisions, making it fertile ground for intelligent automation, analytics, fraud detection, risk management and increasingly agentic AI. At the same time, financial decisions can affect livelihoods, access to credit and customer trust. Regulators therefore rightly place emphasis on data governance, explainability, accountability, privacy and resilience. RBI has explicitly highlighted both the transformative potential of AI in finance and the risks around bias, explainability, data privacy and systemic risk. Its FREE AI framework is an important step towards responsible adoption.
This creates a distinctive Indian opportunity: to learn how to innovate where the stakes are high.
In such environments, successful AI adoption is not simply about deploying a better model. It requires an ecosystem around the model. Business teams need to understand what problem AI is solving. Technology teams need to build for reliability and security. Risk and compliance teams need to be involved early rather than becoming a checkpoint at the end. Leaders need to establish where human judgement remains essential. And organisations need people who can bridge domain expertise, technology and business context.
This is also changing what we mean by talent.
The next competitive advantage may not belong simply to organisations with the largest technology teams or access to the most sophisticated AI tools. It may belong to organisations that can develop people who know how to combine AI with domain knowledge, critical thinking, judgement and customer understanding.
This is something I have increasingly seen through my work in performance management, capability building, leadership development and talent programmes. The question is moving from “Can this person execute?” to “Can this person understand the larger problem, use technology intelligently, challenge assumptions and create meaningful business impact?”
That shift has implications far beyond HR. It is central to how India builds globally competitive organisations.
If India is to realise the ambition of Viksit Bharat @2047, we will need more than technological adoption. We will need organisations capable of continuously learning, redesigning work, developing leaders and converting technology into trusted outcomes.
The “Made in India, Made for the World” opportunity therefore has another dimension. We should aspire not only to export products and services, but also to export the capabilities, operating models and intellectual capital developed while solving India’s most complex problems.
Fintech can be one such proving ground. Its combination of scale, digital infrastructure, innovation and regulation forces organisations to solve for both speed and responsibility.
Perhaps that is the larger lesson from India’s AI journey: the goal should not be to build an economy that uses AI the fastest. It should be to build an economy that learns to use AI responsibly, productively and at scale.
If we can do that, India’s advantage will not simply be that we adopted the technology. It will be that we learned how to build with it, govern it, and create trust around it.
That is an AI advantage worth taking to the world.
Author Bio:
The author is currently Associate Director, Human Resources at Dailoqa, an AI native fintech organization, where he leads HR, talent, and organizational capability initiatives.
