Terence Tao's "Mathematics in the Age of AI," Applied to Quantum Science

Terence Tao published a short essay in August 2026, adapted from a talk delivered at the International Congress of Mathematicians. It makes an unusual move that's worth noting. Rather than debating whether AI can eventually reach research-level mathematics, Tao just grants it — his "Working Hypothesis" — and pivots to the question that assumption exposes: what does the field actually value? Not the answer given to funders and students, but the one implied by what gets rewarded in practice. That reframing carries over almost without modification to quantum science — computing, information, materials, and the broader theoretical and experimental machinery surrounding them. The transfer may matter even more here, since quantum science already sits nearer the AI frontier than pure math does. What follows traces Tao's argument step by step, translated into quantum terms. Tao's central trick is to pull apart two questions that normally get fused. One is the capability question — what AI can actually accomplish, at what price, and under how much oversight. The other is the values question — assuming some fixed capability level, what do we actually want out of the enterprise? Debates about AI in a technical field usually get stuck on the first…