OpenAI is effectively cutting prices without touching the price tag — doubled quotas are a discount aimed at heavy users, precisely the enterprise segment where Anthropic is strongest. The reversal of the planned Pro 200 cut after user backlash is telling: with a credible rival closing in, OpenAI can no longer afford to squeeze its most loyal customers. The efficiency angle is the more durable part — if newer models really lower inference costs, raising limits costs little and locks enterprise workflows in. We'd treat the Anthropic IPO framing as context rather than cause; quota wars were inevitable once inference got cheaper. Expect Anthropic to answer in kind — and if you run heavy workloads, this is the rare moment when competition pays you directly.

The striking part is not the deference itself — experts routinely lean on tools — but the reported illusion of ownership: people adopting a coin-toss-driven opinion and calling it their own. That shifts the concern from 'AI makes mistakes' to 'AI quietly reshapes judgment,' a much harder problem to instrument. Some caution is warranted: 50 participants and artificially randomized preferences is a lab setup, and judgment calls without ground truth are exactly where consulting an agent is legitimate, so part of that 86% may be normal tool use. Still, the study lands in an uncomfortable spot — persuasion and belief-shift are becoming measurable model behaviors, and Anthropic clearly treats influence on users as a safety metric rather than a curiosity. For anyone deploying agents in medicine, law or research, the takeaway is banal but vital: track where your conclusions actually came from.