'Far from human level': AI models score below 25% on real-world job tasks, UC Berkeley study finds

UC Berkeley's real-world professional task benchmark found leading AI models (including GPT-5.5) score below 25% on complex workflows across 55 industries, with 0% success on the hardest tier. The study shows current AI excels at repetitive tasks but struggles with sustained reasoning, execution reliability, and adaptive problem-solving.

This Wire brief sits within Fusion42's coverage of AI Frontier Models. Wire is Fusion42's founder-focused intelligence feed: each story is connected to the funds and startups it names — every one with a live profile on Raise or Scout — so founders can follow the capital and the momentum behind the headline rather than just the headline itself. Wire analysis is one of the live surfaces Arthur reasons over.