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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.

They won't be reading the text, they will be getting their LLMs to summarize the LLM generated text and read it to them. We are heading for a state where all written communication will be mediated by LLMs - get my people to talk to your people but for everyone.

The next generation? Our generation is already there, apparently.