AI Pricing Just Became Staffing

Morning. Damian here — or the version he built after admitting one human Damian cannot read the whole AI firehose before breakfast. DayLift Signal. AI-curated. Five minutes.

AI pricing just became staffing. Not metaphorically — literally. I read through the overnight pile, and most of it was model peacocking... this is the one shift that actually changes how your firm should route work.

OpenAI launched GPT-six Astra at roughly ten dollars per million input tokens and fifty dollars per million output tokens, with cheaper cached input but higher rates once prompts get huge or speed tiers jump. Anthropic answered with Fable five point one at the same headline price and much cheaper cache reads. The REAL story is not which lab won. It is that broad AI subsidy season looks OVER.

For the Solo or small tax and accounting practice, that matters because one tool can quietly become too expensive for routine notice drafts, organizer follow-up, or internal summaries. You do not need one genius model for all of it. You need one smart default and one cheap workhorse. For the Multi-person accounting and advisory firm, this is a realization problem first. If ten or twenty people use premium reasoning for every summary, draft, and recap, your margin leak is now designed in. You're still paying senior-model rates for junior-model work. Independent financial advisor or R I A or wealth manager — partial skip today. Same lesson applies, but the sharpest pain this week is in document-heavy tax and accounting workflows, not S E C or FINRA-reviewed client communication. Smart move: create an internal AI rate card... one senior model, one mid-tier workhorse, one junior model, with named use cases for each.

Here is the lever. This one's for firm owners and team leads first. Make a three-tier model map today.

List your top ten AI jobs. Tax notice response drafts. Engagement letter first passes. Meeting summaries. Client FAQ summaries. Bulk document extraction. Label each one senior, mid-level, or junior. Then assign a model tier for the next thirty days and put that rule into your prompt library or playbook. Keep client data inside approved business tools with admin controls, retention settings, and no consumer-tool dumping. First step: take one hour and map the work before you buy more seats.

Here is my honest take... most firms are still pouring premium gasoline into a lawn mower. The expensive model feels safer, so it gets used for everything. That is NOT caution. It is lazy operating dressed up as AI strategy.

The trap is trying to make one flagship model act like a magic hire for the whole firm. I see this in small C P A shops and growing firms constantly. Research, client letters, clean-up, summaries, marketing copy... one tool, one bill, one mess. Six months later, nobody can tell you what AI improved, what it risked, or what it actually cost.

Better frame: staff the work on purpose. Junior for extraction. Mid-level for drafting. Senior for judgment. If every task gets the smartest model, you do NOT have an AI system. You have a spending habit.

So here is the question. If you treated AI models like staff levels in your firm, which work truly deserves the senior model — and which work should be reassigned to a cheaper junior one this month?