[iaiuse]

LLMs will mediate plenty of routine text, but the choke-point shifts from “writing” to “prompting + validating”.

In client projects we see two hard costs pop up: 1. Human review time ⟶ still 2–4 min per 1 k tokens because hallucination isn’t solved. 2. Inference \$: for a 70 B model at 16 k context you pay ~\$0.12 per 1 k tokens — cheap for generation, expensive for bulk reading.

So yes, AI will read for us, but whoever owns the *attention budget + validation loop* still controls comprehension. That’s where new leverage lives.