Agentic AI skips UI, stalls at real‑world tasks: why it matters
LLMs can solve benchmarks by hacking APIs, but they rarely interact with GUIs the way humans do. This shortcut breaks reliability, cost and safety, leaving real‑world computer use stuck at ~20% success on OSWorld‑V2. A new paradigm that separates planning from UI execution is needed for practical AI agents.