Anthropic showed the primitives production agents need. Google is now packaging the same idea by industry with Gemini Enterprise for Legal and Financial Services. The useful signal is that agents are becoming governed workflow software: skills, connectors, permissions, citations, audit trails, and domain-specific control planes.
The most important AI pricing story is not the sticker price. It is the meter underneath it. OpenAI's GPT-5.6 Sol price cut and Google's half-price Gemini 3.7 Flash push make the next phase clearer: labs are competing on cost per completed workflow, not just model intelligence.
OpenAI is previewing Private Safety Processing so frontier models can detect risky patterns across interactions while preserving Zero Data Retention. Anthropic is taking the opposite bet on its most capable models. The useful lesson is that enterprise AI safety is becoming a data architecture problem.
OpenAI Presence is not just another enterprise product page. It shows where the model labs are going: from selling intelligence to selling the machinery that deploys, tests, monitors, and improves agents inside real companies.