How are billion dollar RIAs using AI differently
Billion-dollar RIAs use AI differently in three ways: they have a named AI lead inside the firm, they treat AI as firm-wide infrastructure rather than individual productivity, and they have written governance policies before they deploy. The patterns are easy to copy at smaller firms, the key insight is that AI works as infrastructure, not as a tool.
The three patterns
- A named AI lead. A real person at the firm whose job includes owning AI strategy. At smaller firms this is the principal, but it has to be explicit.
- Firm-wide infrastructure, not individual productivity. The AI is wired into the CRM, the email, the website, the compliance workflow. Not a ChatGPT subscription handed to the marketing person.
- Governance before deployment. Written AI use policy, data processing agreements, review workflows, all in place before the first Operator goes live.
What smaller firms should copy
- Pick a named owner (probably the principal at a sub-$1B firm).
- Implement AI as infrastructure, not subscriptions.
- Write a one-page AI policy before you deploy anything.
- Start with one Operator (Meeting Prep is the most popular).
- Expand only after the first Operator is producing visible value.
What smaller firms should NOT copy
- Building from scratch (too expensive).
- Hiring a full-time AI lead (too early).
- Deploying everything at once (too much surface area).
The honest take
The biggest difference between billion-dollar and sub-$500M firms is the discipline to treat AI as infrastructure. The technology is the same. The discipline is free.
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