RIAs Invest in Data Warehouses and In-House AI: A Cost-Benefit Analysis

This article analyzes the growing trend of Registered Investment Advisors (RIAs) investing in proprietary data warehouses and in-house artificial intelligence tools. While smaller firms typically rely on off-the-shelf software due to cost and expertise constraints, larger firms are increasingly considering internal development to capture marginal efficiency gains that scale across hundreds of employees. The authors question whether these investments yield sufficient returns, citing specific industry examples. Carson Group’s AI assistant, "Steve," reportedly saves 5,000 hours annually, equivalent to roughly 2.5 full-time employees, raising questions about whether third-party tools could have achieved similar results with lower development overhead. Similarly, Savant Wealth Management plans to spend $50 million over three years to build an AI infrastructure aimed at doubling employee productivity and quadrupling revenue. However, the article notes a lack of evidence supporting such dramatic productivity boosts from current AI technologies. The core argument emphasizes that while scale can justify custom builds, firm owners must carefully evaluate if the projected margin improvements truly outweigh the significant costs of internal development compared to licensed solutions.