AI is forcing pricing strategies in one direction
Advice is a commodity. Value is now determined by outcomes.
AI isn’t killing the traditional consulting model because it’s better at formatting PowerPoint slides or churning out spreadsheets. It’s killing it because Large Language Models (LLMs) have become the new advisors.
For decades, the business of “advice” was a goldmine. You paid for the smartest people in the room to tell you what to do. But today, that room is digital, and the “smartest person” is an API call away. As AI democratizes expertise, we are witnessing a fundamental shift: Businesses no longer want advice; they want outcomes. And they’re only going to pay for the latter.
Advisory Firms Used to Make Millions for Just Talking
The prestige of the “Big Three” (McKinsey, BCG, and Bain) is built on a foundation of intellectual authority. Together, these firms pull in over $30 billion in annual revenue. Historically, clients paid these eye-watering fees for two things: access to subject-matter experts and the “insurance” of having a reputable name behind a strategic decision.
I’ve worked with multiple large advisory firms over the past five years, and the experience often followed a predictable pattern. You spend months in discovery, pay a huge bill, and walk away with a 100-slide deck. On the whole, those engagements often left me feeling unfulfilled, having rarely learned anything we didn’t already know internally. The “value” was in the validation, not necessarily the discovery.
The AI Wedge: The New Subject-Matter Expert
This is the exact wedge that AI has driven into the B2B world. AI is now the ultimate subject-matter expert on virtually every topic imaginable. Because it has been trained on decades of public content, research papers, and case studies, it doesn’t just “know” things, it synthesizes them instantly.
Speed: Market research that took a team of associates three weeks now takes three minutes.
Depth: Data analysis and pattern recognition happen at a scale human consultants can’t touch.
Cost: The marginal cost of a “strategic insight” from an LLM is effectively zero.
When the “what” and the “how-to” become commodities, the premium for pure advice evaporates.
The Shift to Outcome-Based Pricing
If an AI can give me the strategy, what’s actually missing? Implementation and results. This is why we are seeing a mass migration toward outcome-based pricing. In this model, firms don’t get paid for their hours or their insights; they get paid when the client hits a specific milestone; e.g. be it revenue growth, cost reduction, or operational efficiency.
The “smart” legacy firms see the writing on the wall. McKinsey, for example, is already pivoting; today, roughly 25% of their work utilizes some form of outcome-based pricing. They realize that if they don’t tie their fees to real-world value, they’ll be replaced by a prompt.
How to Adopt an Outcome-Based Model
Transitioning from “hours worked” to “value delivered” is a massive cultural and operational shift. If you are running an agency or a consultancy, here is how you adapt:
Shift the ROI Timeline: In the old world, ROI was calculated after the engagement was over. In the AI era, you must demonstrate the projected ROI before the contract is signed.
Obsess Over Data: You cannot bill for outcomes if you cannot measure them. You need deep integration into your customer’s data to track results in real-time.
Calculate the Return: You must move from “we will improve your marketing” to “we will reduce your CAC by 15%.” If you can’t calculate the return, you can’t price the outcome.
The TL/DR: The New Reality
Expertise is commoditized: AI provides the “advice” that firms used to charge millions for.
Implementation is king: The value has shifted from the idea to the execution.
Risk-sharing is required: Clients want partners who have skin in the game through outcome-based models.
Final Thought: In a world where everyone has access to the same “brilliant” AI advisor, the winner isn’t the one with the best plan—it’s the one who can actually make the plan work.
What about your business? Take a look at your last three invoices. Are you charging for your time, or are you charging for the result? If it’s the former, it’s time to rethink your model before an LLM does it for you.