LLM Knowledge-Work Utility — Economically Valuable Task Performance

The claim is supported by the current evidence in a qualified but meaningful sense. Three independent lines of evidence — controlled experiments (INST-001, INST-002), commercial deployment at scale (INST-003), and natural experiment in deployed settings (INST-005) — all find that LLMs produce measurable economic value in knowledge-work contexts under conditions approximating limited supervision. The effect sizes are not marginal: 14–55% productivity improvements in relevant task domains, with quality improvements accompanying rather than trading off against speed in at least two of the three studies (INST-002, INST-005). Contesting evidence is concentrated at the boundary of the claim rather than at its core: documented hallucination failures in high-stakes domains (INST-004) and agentic multi-step task failures (INST-006) show that the 'limited human supervision' condition holds reliably in single-turn, reviewed contexts but not yet in extended autonomous workflows. The pressure state is ESCALATING: the core claim is well supported within a supervision boundary that has not yet been precisely defined (OQ-001).