The surge in artificial intelligence (AI) investments is reshaping global technology landscapes, with billions being poured into data centres, large language models, and digital infrastructure. Yet a pressing question looms: when will these massive investments generate meaningful returns? This debate took center stage at theIndia Today AI Summit 2026, where global tech leaders examined whether current enthusiasm is a bubble or the beginning of a long-term productivity revolution.
MR Rangaswami, founder of Indiaspora, highlighted that nearly $1 trillion is expected to be invested in AI infrastructure alone. While excitement is high, investors are increasingly focused on measurable financial outcomes. Much of the funding comes from private capital and sovereign funds, meaning risks are concentrated among investors rather than taxpayers. Rangaswami compared the current phase to the dot-com era—volatile but capable of creating massive value over time.
Jonathan Siddharth, founder and CEO of Turing, offered a more optimistic view, suggesting AI is moving from experimentation to real-world execution. Advanced AI agents are now completing complex tasks that once required human labor, marking what he called a “golden age of productivity.” This shift doesn’t necessarily replace workers but transforms roles, with humans supervising AI outputs rather than performing every task manually.
Aneesh Chopra, Chief Strategy Officer at Arcadia, emphasized the policy and social dimension of AI investments. He noted that clear governance rules, outcome-focused regulations, and entrepreneurial engagement are crucial for ensuring AI generates societal benefits beyond financial gains. Healthcare, education, and public services are sectors where AI can deliver transformative results.
For India, the summit highlighted unique opportunities. Siddharth recommended investing in domestic “sovereign AI” models trained on local data, enabling better governance and national security. Chopra encouraged India to leverage AI to develop innovative solutions in healthcare and skills development that could scale globally. The consensus was clear: AI is moving from academic benchmarks to practical economic impact, and now is the time for skill development and entrepreneurial action to harness its full potential.
The summit painted a future where AI-driven productivity gains could unlock unprecedented innovation—but only if investments, policy, and talent converge strategically. The coming years will test patience, foresight, and the ability to balance financial returns with social impact.
