From Particle Physics to Economics, AI Is Becoming the Default Tool for Solving Hard Problems

Artificial intelligence has moved from a novelty in theoretical research to a practical problem-solving engine, with breakthroughs across fundamental physics, mathematics, and economics suggesting the technology may soon become the standard approach for tackling difficult theoretical challenges. In September 2026, Anthropic's Claude AI system computed a nine-loop particle physics amplitude—a calculation that would have taken human physicists months—in under a month at a cost of roughly $100 to $3,000. That same month, OpenAI claimed its Astra model solved the Navier–Stokes equations Millennium Prize Problem in 88 hours using 10,000 autonomous AI agents, though the result awaits independent verification.