Strategic Acquisition Brief · Confidential
Thrivent is hiring 600 financial advisors in 2026, having beaten the same target in 2025, and has said what AI is for: it “gives our teams better tools so they can focus on high-value, purpose-driven work.” Support the advisor; do not replace the advisor. For the 2.4 million people who chose a fraternal for security rather than a pitch, the first question is not what the market might add. It is the floor: the safe, sustainable living standard a household can hold for life, with no investment risk taken, computed under the taxes and benefits the law actually imposes. Nothing in the advisor’s toolkit computes that. MaxiFi does: the only commercial engine built on the economics of lifetime planning, faithful to the science and to the law, and warrantable because it is.
On March 13, 2026 Thrivent told Fortune it would add 600 financial advisors this year, through its field network and a Virtual Advice Team with regional hubs in Atlanta, Dallas, Denver, Minneapolis and Milwaukee, after exceeding the same target in 2025. David Royal, Chief Financial and Investment Officer: “We’ve made the strategic decision to hire more financial advisors because it will enable us to serve even more people.” On AI: it “gives our teams better tools so they can focus on high-value, purpose-driven work.” Nick Cecere, Chief Distribution Officer: “Adding new advisors is how we continue to grow our business.” Thrivent serves 2.4 million clients with more than $212 billion under management and advisement.
A new advisor spends twelve to twenty-four months in the program. The plan that advisor puts in front of a client in month three is the plan Thrivent stands behind, and the client who joined a fraternal founded in 1902 for mutual aid expects it to be right in the way that matters to a cautious household: the floor first, then whatever risk the household itself chooses. The tools that support the advisor’s day do not compute that number. This is the layer that does.
Serve even more people, with purpose-driven advice, through advisors supported rather than replaced by AI. The promise is institutional. The client’s question is household-level: how much can my household safely spend, every year, for life; when should income start; what do Social Security timing, a Roth sequence and my state’s taxes do to that number? A tool that recommends without computing cannot answer it, and a new advisor cannot be asked to. This is the layer that does.
Conventional planning gets the first thing wrong: it never asks whether a household needs to take risk at all. It sets a spending target, usually too high, and adds equity to raise the probability of hitting it. The economics of lifetime planning begins with the safe, sustainable living standard: the most a household can spend, every year, for life, with no investment risk taken, computed jointly across its whole life under the taxes and benefits the law actually imposes, and then treats risk as an option, evaluated against the household’s own aversion to loss.
Laurence Kotlikoff’s illustrative case shows what the premise is worth to a cautious household: a hypothetical 62-year-old retiree with $2 million and Social Security.
| Strategy | Sustainable discretionary spending | Versus the safe base, in the household’s own terms |
|---|---|---|
| Safety-first (TIPS-only base) | $83,451 / yr to age 100 | The base case: no investment risk at all. |
| 80/20 stocks and bonds | Far higher expected, much greater dispersion | 22% worse if the household is highly risk-averse; 22% better if it is risk-tolerant. |
| 20/80 stocks and bonds | Modestly higher expected | 9% worse if the household is highly risk-averse; 6% better if it is risk-tolerant. |
| Claim Social Security at 70 and time Roth conversions | + $8,608 / yr | Risk-free. Computed, not guessed — the part of the answer no model produces. |
Figures are Professor Kotlikoff’s, as of September 2026, for his illustrative household’s facts and assumptions; they are not generalized. The plan depends on the person, and conventional planning never asks.
Thrivent’s client is cautious by choice; the organization exists because that person chose a fraternal’s promise over the market’s. The safe, sustainable living standard for each household is a computed quantity — the floor, the income start, the protection the survivor needs — and an engine that begins from safety is the only kind that can compute it. For six hundred new advisors a year, it is also the only way every plan in the field is the same plan the science prescribes.
MaxiFi is not an application Thrivent would operate. It is a computation service the advisor’s desktop, the Virtual Advice Team’s tools and the product recommendation all call. From the facts an advisor already gathers, it produces for each household the safe base, the income start that fits that household’s Social Security and Roth sequence, the protection the survivor actually needs, the annuitization that raises or does not raise the household’s living standard, and the risk the household may choose to take on top. The advisor’s relationship does not change. The provenance of the number in it does.
A rented planner cannot be warranted, because its spending target comes from outside the model and there is no correct answer to warrant. An owned engine that is faithful to the economics and computes under current law can be. That difference is the claim no other advisor-led firm can make — and the engine, incorporated under the tools you have already chosen to give your advisors, is what makes AI-assisted advice defensible rather than merely efficient.
The life-cycle economics of saving, spending and risk has been taught in graduate finance for seventy years. MaxiFi is the only commercial engine built on it, and it is faithful to the science in two layers. The economics: safety-first, spending endogenous, the lifetime solved jointly, risk evaluated as an option against the household’s own risk aversion. The law: federal and forty-two state tax codes, Social Security, Medicare and IRMAA, required minimum distributions, Roth conversions, pensions, annuities and survivor benefits, encoded and maintained for thirty years, deterministic in the sense that matters — the same facts produce the same auditable answer. The problem is well-defined, so the answer can be checked by inspection, line by line, in the reports.
When a technology team says “we could build this,” the answer is not the algorithm. Dynamic programming is taught. The answer is the classes of failure in which a rebuild silently ships a wrong number:
Patent-winning. Named among Bankrate’s best financial planning software of 2025. Used by Robert Merton to teach financial planning at MIT Sloan. Built over thirty years by Boston University economist Laurence Kotlikoff, who intends to stay with the acquirer as architect and spokesperson.
For a household’s facts and assumptions, the plan MaxiFi produces is the plan the economics prescribes, computed under current law. Because the result is verifiable by inspection, a computational error is objectively decidable: rerun the engine and check. That is why a bounded accuracy guarantee with a stated exclusive remedy is insurable for an engine that owns its computation, and is not offerable by a planner whose target is set outside the model. Market returns, longevity, future law and the household’s own assumptions are never guaranteed. The guarantee covers the arithmetic and the fidelity, not the life.
It converts “purpose-driven advice” from a value into a claim Thrivent can make through every advisor, including the six hundred who joined this year, stand behind with a defined remedy, and deny to every other firm. We are not selling an insurance policy. The insurance is included.
Independent tests in 2026 established that the market cannot check its own arithmetic. Larry Kotlikoff’s Economics Matters Substack has run named head-to-heads against frontier engines on dollar-specific household problems; the variance across engines on identical prompts is the proof that correctness cannot come from the model layer — and the labs now say so themselves.
How will you validate that any AI is correct? You will need to run MaxiFi to know. Correct means faithful to the economics; the instrument that can certify the AI is the faithful implementation of the science, computed under current law, today and after any attempted replication.
Thrivent’s trajectory is growth through advisors, hundreds a year, serving a membership that chose security. MaxiFi is not an addition to that trajectory. It is what completes it: MaxiFi exists to raise, sustain and protect households’ living standards, not anyone’s assets under management. The organization that secures it holds a unique and durable competitive advantage: an economic moat against AI, and a legal moat against claims of improper advice.
Every household’s safe, sustainable living standard, income start, Social Security timing and Roth sequence computed under current law and explained as arithmetic. A first-year advisor delivers the same faithful plan as a twenty-year veteran, because the engine computed it.
The one firm whose advice is faithful to the economics and warranted with a defined remedy wins the client, the community and the regulator on a dimension no competitor can enter. The claim persuades; the guarantee closes.
A computed lifetime plan identifies the precise household need at the precise date it arises: the protection gap, the income product, the annuitization that raises the living standard. That is a materially different conversation from a quota, and it runs through the advisor force Thrivent is building.
An organization remains responsible for the outputs of the models it deploys, including a vendor’s. The firm whose advice is faithful to the science has the defense; the firm whose tool is not has the exposure. The defense comes with the deal. The deal is the growth.
The tools run the advisor’s day; the product suite delivers the protection; neither decides the household’s number, and the household’s number is what a cautious membership is asking for. A rented planner cannot be warranted. An owned engine can, and there is exactly one MaxiFi.
MaxiFi is offered for acquisition: the engine, its intellectual property, thirty years of encoded law, and Larry Kotlikoff’s continued involvement as architect and spokesperson. The next step is a 30-minute orientation: the safe base case for a real, anonymized household first, then the risk question, then a frontier model asked to match the result. Nothing is deployed and nothing is left behind; evidence deepens with commitment, and the full case is provable in an acquirer’s first quarter of ownership. First conversations with strategics are underway; we expect to narrow the field in early December.
Or write directly: Commerce@kaneco.com · subject “MaxiFi — Thrivent orientation.”
Thirty minutes: the safe base case for a real, anonymized household first, then the risk question, then a frontier model asked to match the result. Choose a window and book it directly; or email with another time.
Commerce@kaneco.com