As artificial intelligence becomes a defining force in the global economy, investor and entrepreneur Nicole Junkermann argues that India is uniquely positioned to lead the next phase of AI development by embedding ethics, inclusivity, and societal priorities directly into the architecture of intelligent systems

As artificial intelligence (AI) rapidly transforms industries, economies, and governance systems worldwide, most countries remain heavily focused on regulation, compliance frameworks, and risk mitigation. Yet a growing number of technology leaders and policy thinkers now argue that regulation alone may not be sufficient to shape the future of intelligent systems that are increasingly influencing human decision-making, communication, labour, finance, healthcare, and public life.

Among those voices is Nicole Junkermann, founder of NJF Holdings and an international investor focused on artificial intelligence, deep technology, and life sciences. Drawing on her work with technology companies and policymakers across Europe and Asia, Junkermann believes the next phase of AI development will depend less on oversight mechanisms and more on the values built directly into the systems themselves.

According to her, regulation can help reduce harm after problems emerge, but it does not determine what technologies are created in the first place, who they are designed for, or what societal outcomes they ultimately optimise. Those decisions, she argues, are shaped much earlier through incentives, product architecture, corporate priorities, and moral judgement embedded during the design stage.

Within that global conversation, India is increasingly emerging as one of the world’s most important testing grounds for a different AI development model.

Unlike many countries that are primarily adopting AI technologies developed elsewhere, India has begun actively shaping its own AI ecosystem through a combination of engineering talent, digital infrastructure, entrepreneurial momentum, and public sector ambition. Government initiatives such as the IndiaAI Mission have accelerated investment into sovereign AI capabilities spanning research, compute infrastructure, startup ecosystems, and responsible deployment frameworks.

At the same time, a new generation of Indian AI companies has started building systems designed specifically around India’s linguistic diversity, economic realities, and cultural context. Companies such as Sarvam AI and Krutrim have increasingly focused on practical applicability and inclusive deployment rather than competing solely on frontier scale with large Western AI laboratories.

Industry analysts noted that this combination creates a unique strategic advantage for India. While the global AI race has largely been framed around the dominance of the United States and China, India occupies a relatively independent position that allows it to shape a distinct development philosophy balancing innovation with societal priorities.

Junkermann argues that this gives India a rare opportunity to integrate ethics into AI systems from the very beginning rather than attempting to retrofit safeguards after large-scale deployment.

She noted that India’s advantage lies not merely in technical capability, but in its ability to build AI ecosystems where questions of trust, fairness, accessibility, and public benefit are considered alongside commercial scale and computational power.

This debate has become increasingly important as limitations within existing regulatory models become more visible globally. Frameworks such as the European Union’s AI Act focus heavily on classification systems, compliance standards, and enforcement mechanisms. While necessary, critics argue that such approaches remain fundamentally reactive.

They often struggle to address deeper questions surrounding what kinds of AI systems should exist, what values those systems should prioritise, and how societies should balance efficiency, automation, fairness, privacy, and human agency.

In practice, many of these decisions are already being made inside technology companies by engineers, product teams, and corporate leadership long before regulators intervene.

Observers suggest that India’s long-term influence may therefore depend not only on producing AI talent or scaling digital infrastructure, but on embedding ethical reasoning directly into education, research, and product development cultures. This could include aligning incentives for developers, encouraging responsible corporate behaviour, and integrating ethical frameworks into technical training programs.

The implications extend far beyond India itself. As AI systems become deeply integrated into global commerce, communication, governance, and everyday life, the principles embedded within them will increasingly travel across borders. Countries that help define those principles early are likely to exercise disproportionate influence over how AI evolves globally.

Junkermann described AI as a foundational layer of the future global economy, arguing that the defining question is no longer simply who builds the most advanced systems, but what values those systems ultimately reflect.

The global AI competition has often been portrayed as a race for computational dominance, capital access, and technological capability. Yet analysts increasingly believe another form of competition is emerging simultaneously — one centred on trust, societal alignment, usability, and responsible deployment.

While the United States continues leading frontier model development and China accelerates large-scale implementation, India’s opportunity may lie in demonstrating how AI can be integrated into society in ways that remain practical, inclusive, and ethically grounded.

For policymakers, investors, and technology leaders, the message reflects a broader shift already taking shape across the AI ecosystem. The future of artificial intelligence may ultimately be determined not only by technical sophistication, but by the degree of trust societies place in the systems themselves. And in an age increasingly shaped by intelligent machines, trust may become one of the most valuable forms of infrastructure any nation can build.