What the Stanford AI Index 2026 reveals—and why Northeast India must begin measuring its own AI economy. Artificial intelligence is no longer a technology waiting for tomorrow. It has quietly become part of everyday life—helping businesses draft reports, farmers monitor crops, entrepreneurs market their products, and students learn in entirely new ways. Across the world,…
India’s digital economy is no longer an emerging story — it is one of the country’s most important economic engines, shaping financial inclusion, public service delivery, entrepreneurship, artificial intelligence and global investment. Over the past decade, innovations such as Aadhaar, UPI, DigiLocker and ONDC have transformed how millions of Indians transact, access government services and…
There is a comforting narrative quietly circulating in the technology industry. Some leaders suggest that artificial intelligence will not take away jobs—that it will “augment,” “enhance,” and “transform” work rather than destroy it. It is a reassuring story, one that calms markets, employees, and policymakers alike. But step outside that narrative for a moment, and…
As the United States hesitates, Europe regulates, and India builds, the global race for artificial intelligence is becoming the defining geopolitical contest of our era The artificial intelligence revolution was supposed to be universal. One technology. One trajectory. One future. That story is already over. Across three of the world’s most consequential economies, AI is…
Based on insights from the World Bank’s Digital Progress and Trends Report 2025 Artificial Intelligence is often described as a great equaliser—an unprecedented technology that can democratise access to knowledge, productivity, and opportunity. But a closer look at global AI trends tells a more uncomfortable story: AI is widening existing inequalities faster than it is…
Artificial Intelligence (AI) is rapidly reshaping how Indians access information, public services, education, and markets. For a linguistically diverse country like India, this technological shift presents a paradox. On one hand, large language models (LLMs), speech-to-text systems, and machine translation tools have the potential to democratize access for non-English speakers. On the other, they risk…
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