As the price of producing a financial plan comes down, you would expect the price of advice to compress with it. So far, the opposite is happening.
Among financial advisors who charge separately for planning, the average annual retainer rose 52% since 2023, from $4,484 to $6,815. Over the same window, the hours required to produce a plan started falling for the first time in the profession's history.
The tempting conclusion is that AI is not delivering. The better conclusion is that cost of production was never what advisors were charging for.
The cost of producing a plan and the value a plan creates are different variables, and AI is moving them in opposite directions. The same automation that makes a plan cheaper to build also makes it possible to evaluate a far larger set of strategies for every household. Understanding that split is the key to reading the fee data correctly, and to positioning a practice to benefit from it.
Cost and Value Are Different Variables
Start with clean definitions. Cost of production is what the practice spends to build the deliverable: staff hours, software, review time. Value created is what changes in the household's financial position because the advice existed.
No professional services market prices on the first. A client does not pay an estate attorney by the keystroke or a surgeon by the minute. Legal, medical, and other professions price on outcome and accountability, and financial planning is no exception.
The fee data supports this reading. The advisors quoted in the InvestmentNews coverage describe expanding scope, not expanding effort. Stacy Francis of Francis Financial points to more advanced tax and estate work, executive compensation planning, generational planning, and behavioral coaching. Read carefully, she is describing clients receiving more, not firms working harder to produce the same output.
But that raises the more interesting question. If clients are receiving more now, what was stopping them from receiving it before? The answer was never knowledge. It was hours.
Comprehensiveness Has Always Been Rationed by Hours
Advisors know that net unrealized appreciation treatment exists. They know about conservation easements and ACA premium tax credit optimization. The constraint on plan quality was never what the advisor knew.
The constraint is that evaluating every strategy against every household by hand is not economical below a certain relationship size. So advisors triage. They check the strategies most likely to apply given the fact pattern in front of them, and they move on.
Triage is professional judgment working correctly under a real constraint. It is also biased toward the familiar, and toward the client profiles a practice sees most often. The strategy that would have mattered most is often the one nobody had a reason to check.
The industry has tried to solve this before. For three decades, the answer was individual software solutions. A tool for tax. A tool for estate. A tool for fact gathering. Each added a login and an integration, and the practice's actual capacity to deliver advice never increased. The bottleneck was never the tools. It was the hours of skilled attention each strategy consumed.
That is the specific bottleneck AI removes. And when it goes, something more interesting happens than plans simply getting faster.
When the Plan Builds Itself, the Search Gets Wider
The cost side is the part everyone already writes about, so it can be brief. When an advisor describes an outcome and an agent executes it inside the planning software, staging the result for the advisor's review, the labor content of a plan drops sharply. That is the delegation model, and it is where advisory software is heading.
The point most coverage misses is what happens next. Automation does not just make the same plan faster. It changes what a plan is allowed to contain.
Manual production forces a narrow search. An advisor evaluates perhaps a dozen candidate strategies per household, because each one costs time to investigate and most will not apply. Automated production makes the search exhaustive. The default flips from checking what is likely to ruling out what does not apply. RK Sterling's Advice Engine evaluates hundreds of strategies across tax, estate planning, insurance, and investments for every household and surfaces the highest-impact opportunities.
The economics of that flip are the heart of the matter. Value in a plan is not evenly distributed. Routine items cluster in the low thousands. The outliers cluster far higher and depend on narrow fact patterns: an NUA election worth $67,500, an AB trust structure worth $125,000, a conservation easement credit worth $95,000.
Those outliers are exactly what manual triage misses. Each requires a specific fact to be present, and that fact often was never gathered because nobody had a reason to look for it.
So the expected value of an exhaustively evaluated plan is not marginally higher than a triaged one. It is higher by whatever the tail strategies are worth, and the tail is where the dollars concentrate.
Two second-order effects follow:
- Depth stops being a function of account size. The full strategy sweep that was only economical for the largest relationships becomes economical across more of the book.
- Fact gathering gets a purpose. When the system flags a strategy as potentially valuable but pending a missing fact, it tells the advisor exactly which question to ask next. Discovery stops being a generic intake form and becomes targeted.
Here is the reframe. Cost per plan falls and value per plan rises from the same mechanism. The advisor's job moves from finding candidates to judging them, which is the part that was always worth paying for.
But there is a catch, and it shows up clearly in the fee data. A wider search only pays if clients can see what it found.
Value That Cannot Be Seen Cannot Be Priced
Value-based pricing has always been true in theory and hard in practice, because most advisory value is invisible. Taxes avoided and mistakes not made leave no artifact.
The fee data shows this is a live gap, not a theoretical one. Among advisors who charge for planning, 53% raised fees in the past 12 months, but 43% raised them only for new clients, and just 10% applied increases across the entire book. Another 40% of advisors weighing a change have not decided how to handle existing clients. Datos Insights notes this produces a two-tier book that becomes harder to manage as the legacy gap widens.
The pattern is telling. A prospect evaluates a promise, while an existing client evaluates a record. Advisors are raising fees where the conversation is easy and hesitating where it requires evidence. Firms that can produce the evidence do not have to hesitate.
Producing the record looks like this: track identified value against captured value for each household in each tax year. Segment by benefit timeline so that immediate, near-term, long-term, estate, and insurance impact are visible separately. Generate a year-end summary of what was actually delivered.
The takeaway is direct. A wider strategy search only converts into value if someone follows the strategies through to implementation and reports on them. Discovery without tracking is a longer list, not a better outcome.
How to Capitalize on the Gap
For advisors, the widening gap between cost and value is not a threat to fees. It is the strongest repricing case the profession has had in years, but only for practices positioned to make it. Three moves matter most.
Audit your own triage. Pull ten households and count the strategies actually evaluated for each, not the strategies the practice knows about. The gap between those two numbers is the value currently left on the table, and it is larger for the households that look least like your typical client.
Let missing facts drive discovery. Replace the generic annual data-gathering exercise with targeted questions tied to strategies that are one fact away from evaluation. Clients experience this as attentiveness. The practice experiences it as a pipeline of new advice.
Build the record of value creation. The 10% of advisors who raised fees across the entire book almost certainly did not have a harder conversation than everyone else. They had better evidence. Start tracking identified and captured value now, so that next year's fee discussion opens with what was delivered rather than what is promised.
Cheaper to Produce, More Valuable to Receive
The opening numbers resolve without overclaiming. The 52% increase reflects rising practice costs and widening scope. It is not proof that AI failed, and it is not proof that AI caused it.
What the data does show is a profession actively reconsidering what it charges for, at the same moment the ceiling on comprehensiveness is lifting.
Plans are getting cheaper to produce and more valuable to receive.
Those are not competing trends. They are the same event, driven by the same mechanism. The advisors who see that first will spend the next few years delivering work that used to be reserved for their largest relationships, and winning more business.
So the question worth debating with your team is not whether AI lowers the cost of a plan. It is how much value do your plans actually deliver to the client.
