RIA Tech Spend 2026: Where the Top 100 Are Investing Their Operations Budgets
The 60-second answer
Top-100 RIAs are spending roughly 5 to 8 percent of revenue on technology in 2026, up from 4 to 6 percent two years ago. The growth is not in headcount tools — it is in operations automation, AI-native client-facing systems, and platforms that compress advisor transitions and onboarding. The categories absorbing the most net-new spend are: AI meeting and notetaking systems, transition and repapering platforms, integrated portfolio and planning consolidation, document and back-office automation, and cybersecurity. Categories shedding spend include standalone CRM bolt-ons, manual reporting tools, and per-seat consumer productivity software.
Why the budget mix is shifting
Two structural forces are doing the work. First, the wage cost of an experienced operations FTE has risen faster than software pricing — meaning automation that removes operations hours has gotten cheaper relative to hiring more people. Second, large RIAs are consolidating, and post-merger consolidation creates a one-time opportunity to standardize on better tooling instead of carrying forward both firms' legacy stacks.
Together, these pressures push budget away from "another seat license" and toward "a platform that removes the work."
The five categories absorbing new spend
AI meeting and notetaking platforms
This was a near-zero category two years ago. In 2026 it is one of the fastest-growing line items in the typical large-RIA budget. The use case is straightforward: every advisor meeting produces a structured summary, follow-up tasks, and CRM updates without the advisor doing post-meeting documentation.
Spend is concentrated on platforms that integrate at the CRM-field level (not just transcript dumps) and that satisfy books-and-records retention requirements. Generic consumer transcription tools have been deliberately removed from approved-vendor lists at most large RIAs, both for compliance reasons and because the integration depth is insufficient.
Typical spend: $80 to $200 per advisor per month, depending on integrations.
Transition and repapering platforms
The growth here is driven by two things: the breakaway pipeline remains strong (large wirehouse advisors continue moving to the independent channel), and post-merger consolidations require mass-migration of households between custodians.
The category was largely manual two years ago — operations teams typed forms by hand. The 2026 category includes statement parsing, ACATS pre-check automation, parallel signature routing, and real-time submission monitoring. Firms running this stack are achieving same-day repapering for the majority of typical households.
Typical spend: $25,000 to $150,000 per year for the platform, plus per-transition transaction fees in some pricing models.
Integrated portfolio and planning consolidation
The trend here is replacing the historical "best of breed" pattern (CRM + portfolio + planning as three separate purchases with integrations) with platforms that unify the three in a single data model. The driver is data quality — keeping three systems in sync at the household level is genuinely hard, and the integration cost has been a hidden tax on operations.
Most firms in this category are not greenfield buys; they are migrations from older stacks. The migration itself is a significant project (typically 9 to 18 months) and a meaningful portion of total tech budget during that window.
Typical spend: 0.5 to 1.5 percent of AUM as a software cost in mature deployments.
Document and back-office automation
Includes intake form automation, beneficiary update workflows, ACATS form automation, account-opening packs, and the broader OCR-plus-workflow category. The shift is from PDF-and-email to API-and-workflow.
Spend in this category often comes from operations budgets rather than technology budgets, which is one reason it has been underestimated in industry surveys. Operations leaders buy point solutions that solve their specific pain (a transition team buys ACATS tooling; a service team buys beneficiary workflow), and the cumulative tech spend gets diffused across departments.
Typical aggregate spend: $30,000 to $300,000 per year across all back-office automation tools at a mid-size RIA.
Cybersecurity
Not new, but the line is growing 20 to 30 percent year-over-year at the larger end of the market. SEC oversight, state AG actions on data breaches, and a higher frequency of insider-threat events have moved this from "compliance line item" to "board-level priority." Firms are investing in endpoint detection, identity and access management, vendor risk management, and incident response retainers.
Typical spend: 1 to 2 percent of revenue, growing.
What is losing budget
The mirror image of the growth categories:
Standalone CRM bolt-ons. The marketplace of small bolt-on apps that extended a base CRM (custom dashboards, niche workflows, third-party reporting) is consolidating. Firms are choosing platforms with deeper out-of-the-box functionality over a base CRM plus six bolt-ons.
Manual reporting tools. Reports that an advisor used to run in a separate reporting engine are increasingly produced in the planning platform or the AI assistant directly, against live data. The standalone reporting category is contracting at most large RIAs.
Per-seat consumer productivity software. Generic AI subscriptions, generic e-signature platforms, generic project management tools. The compliance posture and integration depth do not justify the cumulative spend at scale.
The biggest budgeting mistake
The most common pattern at firms that under-invest in operations technology: tech budget is owned by IT, operations budget is owned by ops, and the two never sit in the same room. The result is that operations buys a series of point solutions that solve immediate pain but do not integrate with each other, while IT maintains an enterprise stack that operations rarely uses.
Top-100 firms that have moved fastest in 2026 have collapsed the budget ownership: the COO and the CTO present a unified technology budget that distinguishes between infrastructure (IT's responsibility) and operating systems (operations' responsibility, with IT supporting). The unification is procedural; the savings come from being able to make whole-stack decisions instead of category decisions.
How to read this for a mid-size or smaller RIA
A $500M-AUM RIA is not going to have the budget profile of a $10B firm. But the categories that matter are the same: operations automation produces leverage at every firm size; the only thing that changes is the dollar amount.
Three priorities translate well across firm sizes:
- Buy AI meeting notes before anything else. The per-advisor productivity lift pays for the platform across the firm.
- Invest in repapering automation before the next transition. Hand-coding a transition is profoundly expensive; the next time the firm onboards an advisor, the platform should already be in place.
- Consolidate the data model before adding more tools. A unified household record across CRM, portfolio, and planning produces leverage on every downstream tool the firm buys.
What the 2027 outlook looks like
If the current trends continue:
- AI meeting and notetaking will move from "new category" to "table stakes." Firms without it will be at a recruiting disadvantage when hiring advisors who use it elsewhere.
- Transition and repapering platforms will consolidate; expect 3 to 5 dominant vendors instead of the current dozen.
- Integrated portfolio and planning platforms will continue absorbing share from best-of-breed stacks.
- Cybersecurity spend will stay on its current growth trajectory; insurance markets are increasingly requiring specific controls as a condition of coverage.
The firms that get the best returns will be the ones that have rebuilt their operating model around the new capabilities, not the ones that bolted the new capabilities onto a 2018 operating model.
FAQ
What's the right way to benchmark tech spend as a percentage of revenue? For large RIAs ($1B+), 5 to 8 percent of revenue is typical in 2026. For mid-size firms ($250M to $1B), 6 to 10 percent. Below $250M, the percentage is higher in relative terms because fixed-cost software does not scale down proportionally.
Should a firm build or buy AI tools? Buy. The compliance work and integration cost of building exceed any plausible benefit for almost every firm. Vendor selection is where the time should go.
How do firms measure ROI on operations technology? The best firms measure operations cost per household per year before and after deployment. A second useful metric: advisor time spent on non-revenue work, before and after.
What's the typical lead time on a new tech budget cycle at a top-100 RIA? Budget planning starts roughly 6 months before the fiscal year. Vendor decisions for the new year are typically finalized 3 to 4 months before launch. Mid-year additions happen but require a clear payback case.
Is there a tipping point where building in-house starts to make sense? For most categories, no. For very firm-specific workflows at the very largest firms ($25B+), there may be a case for in-house tooling — but it is rarely the AI itself; it is the integration layer on top of vendor AI.
