Should I lower my prices now that AI can do some of what I do?

Because it misdiagnoses what changed. A price cut says 'the same offer is now worth less.' What actually happened is that your offer's components diverged: part of it became free everywhere, and part of it became scarcer and more valuable. Averaging those two moves into a discount gets both wrong.

Walk the failure modes of the cut:

• It concedes the comparison. Discounting 'because AI' tells prospects your work belongs in the same category as the free tool, which is the one positioning you cannot survive. Price is a claim about what you sell.
• It keeps the bundle intact, which is the real problem. The old offer mixed information with judgment; the market unbundled them, and a cheaper bundle is still the wrong shape.
• It attracts exactly the wrong buyer: the information shopper, who was leaving anyway, while signaling to the judgment buyer that you may not be the premium option she is looking for.
• It spends margin you are about to need, since the transition to AI-carried delivery is an investment season.

The correct unit of response is the offer's architecture, not its number. Restructure first; the right numbers become obvious afterward, and they are rarely lower.

Three components, in three different directions, which is why this decision resists a single move:

1. The informational component went to zero. Explanations, frameworks, standard recommendations, education: a third of adults already use the tools that deliver this free, and your clients are among them. Any fee that was quietly information rent is now exposed. This component genuinely deflated.
2. The judgment component appreciated. Research shows AI lifting baseline work quality dramatically, more than 40% in the largest field experiment, which means competent output is now abundant, and abundance of the competent raises the premium on the discerning. Choosing correctly among infinite plausible options is the new bottleneck, and it prices accordingly.
3. The delivery cost component collapsed in your favor. Preparation, production, follow-through: AI carries what used to consume your hours, so the same engagement costs you less to deliver excellently. That is margin, and margin is yours to keep or reinvest, not an obligation to pass through.

Add them honestly: less charging for information, more confidence pricing judgment, better economics underneath. Nothing in that arithmetic says discount.

In four moves, each of which most established advisors can run inside a quarter:

1. Split your flagship offer's components into two lists: what a capable AI could substantially deliver, and what requires you, your judgment on their case, your accountability, your push-back, your pattern recognition. Be ruthless; the exercise only works honest.
2. Release the first list generously. Published answers, useful tools, real education, free or nearly so. This is not sacrifice: it is marketing that demonstrates the judgment you sell, aimed at buyers and engines alike. Hoarding the free layer protects nothing now.
3. Rebuild paid offers around the second list: diagnosis-led entries, judgment-dense engagements, accountability written into the language, outcomes owned to the finish. Smaller offers, sharper promises.
4. Price the new shape on value, from confidence. The comparison set for a judgment offer is the cost of deciding wrongly, not the hourly rate of information delivery, and certainly not a chatbot subscription.

Owners who run this sequence typically find the new flagship prices above the old one, while the free layer works the top of the funnel harder than any discount ever did.

Sometimes the audit says yes, and pretending otherwise would make the rest of this page less trustworthy. The honest cases:

• Offers that were mostly information all along. If the component split leaves the 'only I can' list embarrassingly short, the offer cannot be saved by repricing; it needs rebuilding, and its price was going to fall regardless of your decision. The move is replacement, not markdown.
• Markets where AI-equipped competitors genuinely reset delivery expectations. If peers now deliver comparable judgment at half the turnaround because their infrastructure is better, matching the infrastructure beats matching the price, but the interim may require honest positioning about what your fee buys.
• Deliberate strategic cuts: an entry offer priced to fill the top of a redesigned funnel, or a legacy service you are sunsetting gracefully. Cuts made on purpose, in a structure, differ entirely from cuts made in fear.

What distinguishes warranted adjustments is that they follow the component audit rather than the anxiety. The rule that survives every case: price moves should be conclusions of a restructuring, never substitutes for one.

From the front foot, with the unbundling already done, because the conversation goes wherever your structure has left room for it to go.

The posture that works:

1. Agree cheerfully with the true part. 'Yes, the informational layer is free now, use the tools, I do.' Defensiveness about AI is the tell of an unrestructured offer; ease is the tell of a restructured one.
2. Name what the fee actually buys, concretely: 'my judgment on your specific situation, my accountability for the recommendation, and my ownership of this outcome until it is done.' Clients rarely push back on a fee whose contents are named.
3. Show the infrastructure as their gain: 'AI runs my preparation and follow-through, which is why you get faster turnaround and deeper prep at this price.' The tools become evidence of value rather than grounds for discount.
4. Let the free layer do the contrast work. A prospect who has read your generously published answers arrives already distinguishing what you give away from what you charge for; the unbundling itself pre-empts the negotiation.

Advisors report the AI-price conversation nearly vanishing once the structure is honest. Watching how pricing norms keep shifting across expert businesses is part of what the Collective Wisdom newsletter is for.