Few careers reconcile the precision of algorithms with the poetry of human aspiration as effortlessly as that of Nihit Mohan. Based in Singapore, he has spent nearly two decades at the forefront of global banking, steering initiatives in finance, analytics and artificial intelligence, even as his parallel vocation as an author has sought to illuminate the quieter, less measurable dimensions of human existence. His books contend that the defining forces of a meaningful life ar

India’s economic future may not be decided by its billion-dollar technology companies alone. It may well be determined by the ability of millions of small and medium enterprises (SMEs) to embrace artificial intelligence. The recent World Economic Forum report, Transforming Small Businesses: An AI Playbook for India’s SMEs, serves as a timely reminder that the next industrial revolution will not be fought in corporate boardrooms alone but in thousands of workshops, factories,

As the economics and ecology of hyperscale AI begin to crack, Apple’s delayed strategy appears remarkably prescient. Apple’s WWDC 2026 delivered one unmistakable message: it has rebuilt its entire software and device ecosystem around Apple Intelligence. Siri AI has been re‑engineered from the ground up with on‑device reasoning, Private Cloud Compute now anchors Apple’s hybrid AI architecture, macOS and iOS have become AI‑native operating systems, and developers received new a

Instant emotional validation may feel comforting, but real healing often requires human insight and accountability. As a counsellor and therapist, one pattern I have been noticing more frequently in recent times is this—many people are now turning to AI before they turn to a mental health professional. They go to AI for emotional advice, relationship clarity, conflict support, and even help in understanding their feelings. And honestly, this is not surprising. AI is available

A growing concern is being felt in classrooms and faculty rooms. If students can access lectures from the best universities, solve problems using artificial intelligence, and get explanations within seconds, what is left for the teacher to do? Has the role of the teacher reached its limit? The concern is understandable, but it rests on a weak assumption. Information has become abundant. Understanding has not, and thinking, certainly not. For a long time, teachers were the mai

The danger is not technology itself, but the quiet, unquestioned surrender to its conveniences. A few months ago, ChatGPT unveiled a new health feature that allows users to upload medical test reports for analysis, carefully stopping just short of formal clinical advice. On paper, it was a modest extension of an already ubiquitous tool. In practice, it signalled something larger: the quiet expansion of machines into domains once considered deeply human. Around the same time,

Two recent developments in scientific publishing should worry us. In one case, AI-generated inputs were found in peer review, leading to the rejection of papers. In another, an AI-written paper successfully passed peer review. Together, these highlight a deeper shift in how science is now created and assessed. For the first time, AI is not just aiding science on the fringes. It is now involved in the entire scientific process, from writing to evaluation. There is a fundamenta