Artificial intelligence is shifting from a hype-driven buzzword to a practical back-office tool for financial advisors. A new Charles Schwab study reveals that AI adoption among Registered Investment Advisors (RIAs) has more than doubled since 2023.
While 63% of firms now use AI, most are still in the early stages of integrating the technology into their daily operations.
This shift matters to everyday investors because RIAs manage trillions in client assets. Small changes in advisor operations can significantly shape your experience.
This ranges from how quickly you receive answers to the level of personalization in your financial planning.
The findings come from Schwab’s 2026 RIA & AI Research Study. The research is based on a survey of 533 RIAs conducted in October 2025.
Key Takeaways
- AI adoption among RIAs has doubled since 2023, with 63% of firms now using these tools.
- Roughly 82% of AI-using RIAs rely on generative AI, often through individual experimentation.
- Current AI use focuses on administrative tasks like notetaking and email drafting rather than automated investing.
- Only one in ten advisors has fully integrated AI into their core business strategy.
- Schwab is supporting this transition through its “Schwab Advisor AI in Action” educational program.
What did Schwab’s RIA AI study actually find?
The primary finding is a surge in adoption, with 63% of RIAs now utilizing AI tools. Schwab notes this is more than double the level recorded in 2023.
However, the most revealing detail is exactly how these firms use the technology.
Most firms are still in the early stages of implementation. They apply AI primarily to time-saving tasks rather than core automated investing decisions or portfolio management.
Many advisors are testing tools informally instead of using standardized, firm-approved systems.
If you work with an independent advisor, this distinction is important. Two advisors may use AI very differently, even within the same firm.
This leads to varying safeguards, workflows, and levels of compliance oversight.
Is AI replacing human financial advisors?
Current data suggests AI is not replacing human advisors. The Schwab study frames AI as a complement to professional expertise rather than a substitute.
In practice, the current wave focuses on boosting productivity through faster meeting preparation and reduced paperwork.
Advisors are using these tools to refine collaborative strategies and focus more on client relationships. This shift can benefit clients if it leads to more planning conversations and fewer administrative delays.
However, “AI-powered” does not automatically guarantee better portfolio outcomes.
In many cases, it simply means your advisor is using modern tools to run their business more efficiently. The human element remains the core of the advisory relationship.
How could AI improve your experience as a client?
As AI moves beyond basic administrative tasks, the potential benefits for consumers become clearer. The technology could eventually offer more tailored planning at scale.
AI systems can help advisors analyze vast amounts of financial history to spot specific patterns. This allows them to prioritize steps in areas like retirement planning or tax strategy.
Additionally, clients may experience faster response times as routine work becomes automated.
Firm-wide AI can also help standardize processes like onboarding and reporting. This reduces errors caused by manual workflows and creates a more consistent experience.
Schwab is already building tools like the “Schwab Knowledge Assistant” and Next-gen AI Agents (JIFFY.ai) to streamline these operations.
What’s the difference between automation and “real” AI in investing?
Much of what firms currently call AI is actually closer to basic automation. This includes tasks like summarizing meetings, drafting messages, and searching internal databases.
While these improvements are valuable, they differ from an AI “brain” making independent investment decisions.
The industry is currently transitioning from simple data entry to interactive digital interfaces. Schwab’s research suggests a move toward intelligent systems that can propose actions based on data from multiple sources.
Even with these advancements, the systems typically support the advisor rather than acting independently.
For consumers, it is vital to understand exactly what the AI is doing. Each use case requires a different level of human oversight.
Why would RIA efficiency matter for your returns?
Lower administrative time does not automatically lead to higher investment returns. However, it can change the quality of service and the attention your portfolio receives.
If an advisor spends less time on scheduling and notes, they can focus on higher-value work. This includes tax-aware planning, insurance reviews, and behavioral coaching during market volatility.
These factors can influence long-term outcomes even if they are not labeled as AI-generated returns.
Efficiency can also affect costs over time. Firms that operate more efficiently may be able to serve more clients without rapidly increasing their headcount.
What are the privacy and security tradeoffs with AI-powered advice?
Governance becomes more critical as AI handles more client data. Even simple tasks like drafting emails may involve processing sensitive personal information and account details.
Schwab’s research acknowledges these benefits alongside significant risks. Key concerns include data protection, model oversight, and potential misuse of information.
Clients should feel comfortable asking how their data is protected and which tools are firm-approved.
For more context on these risks, Schwab provides an educational overview of artificial intelligence in financial advice. It frames the technology as helpful but emphasizes that it is not risk-free.
What should you ask your advisor about AI?
If your advisor uses AI, or if you are evaluating a new firm, specific questions can help cut through the marketing. Start by asking what specific tasks the AI performs today.
You should also clarify if the AI use is firm-approved or based on individual experimentation.
Ask how the firm checks for accuracy to prevent errors in client communications or recommendations. Understanding what data is shared with third-party AI tools is also essential for your privacy.
Finally, ask how AI changes the service model for you specifically. Is it leading to faster response times, or is it mostly serving internal firm efficiency?
What happens next for AI in wealth management?
Schwab’s study suggests that momentum is building, but the overall transformation will be gradual. While many RIAs use generative AI, only a small percentage have fully integrated it into their business strategy.
In the near term, consumers will likely notice incremental changes. These include quicker follow-ups and more streamlined onboarding processes.
The Bottom Line
Schwab’s latest research shows AI is becoming a standard tool in advisory firms, primarily for productivity. For investors, this likely means faster service and more scalable personalization over time.
