Artificial intelligence and the labour market The capability mirage AI can theoretically do far more than it is actually doing. The gap between those two facts is where the real story of workplace disruption lives Nagesh Bhushan T he headlines write themselves. Robots are coming for your job. The white-collar workforce faces an existential reckoning. Artificial intelligence will hollow out the professional class within a decade. These predictions are not entirely wrong — but they are, at present, substantially premature. The more interesting story is not what large language models can theoretically do. It is the yawning chasm between that potential and what they are actually doing in workplaces today. Data from the Anthropic Economic Index — which tracks real-world API usage patterns in professional settings — provides the clearest picture yet of this gap. Among computer and mathematics occupations, large language models are theoretically capable of performing 94% o...
— Dr. Tirunahari Seshu When Israel, with American support, launched strikes against Iran on February 28, few expected what followed. Iran's Supreme Leader Ayatollah Khamenei and dozens of other senior figures were killed in the opening days of the campaign. Yet defying every prediction, Iran fought on for 39 days — and in doing so, managed to manoeuvre the United States into a position from which it could not extract itself with dignity. Donald Trump, who had confidently declared the war would be over in four or five weeks, found himself searching for an honourable exit. From the outset, Iran had maintained a consistent position: this was not a war it had chosen or started; it was a war imposed upon it, and therefore those who began it must end it. The world has weathered serious conflicts before — the eight-year Iran-Iraq war, the Gulf War triggered by Iraq's invasion of Kuwait — and recovered. But this confrontation was different in scale and consequence. The joint Israeli-A...