The consulting pyramid was an answer to the price of two inputs — retrieval and production. Both just got cheap. What that changes for anyone buying advice.
Every consulting firm you have ever hired was shaped by the same arithmetic. A partner's judgment was scarce and expensive. The work that judgment had to be applied to — finding the relevant precedent, pulling the data, mapping the process, building the model, writing the deck — was voluminous and cheap to delegate. So the firms hired large cohorts of very smart people at the bottom, billed their hours at a premium, and rationed the senior judgment across as many of those hours as the client would tolerate.
That is the pyramid. It was never a philosophy. It was an answer to the relative price of two inputs, and both of those inputs have just been repriced.
Two distinct things collapsed in cost, and they are worth separating because they usually get blurred together.
The first is retrieval. Knowing what the revised Annex 11 expects, what a comparable company did when it moved from CDMO-dependence to owned manufacturing, how a given ERP handles lot genealogy, what the market-standard indemnity position is — all of that used to require either a person who happened to have it in their head or a person with three days to go find it. It now takes minutes, and the floor on quality is high enough that the three-day version is rarely worth waiting for.
The second is production. The current-state process map, the requirements specification, the weighted scorecard, the gap analysis, the eighty-page readout. Someone had to actually manufacture those artifacts, and that manufacturing was hours of skilled but not senior labor. It is now a fraction of that, and the fraction keeps shrinking.
Retrieval and production were most of what the base of the pyramid did. They were also, not coincidentally, most of what the client was billed for.
This is not a prediction. It is visible in what the largest firms are paying.
The Financial Times reported in December 2025 that McKinsey, BCG, and Bain had frozen starting salaries for a third consecutive year — around $135,000–$140,000 for undergraduate hires and $270,000–$285,000 for MBAs — and that the Big Four had not raised starting pay since 2022. Two Big Four senior executives expected UK graduate recruitment to fall by roughly half over the following year. PwC had already cut graduate hiring and conceded it would miss a target, set before generative AI existed in usable form, of adding 100,000 people globally.
The trade press has been blunt about the mechanism. Writing in February 2026, one industry commentator described the old model as achieving its margins by "billing premium rates for hours mostly performed by the least experienced team members" — a trade that is no longer available, because the client can now see what those hours actually produce and roughly what it costs to produce.
Firms will adapt. But the adaptation is slow and painful in a way that has nothing to do with technology, because the pyramid is not only a delivery model — it is the compensation structure, the promotion ladder, the utilization target, and the recruiting brand, all resting on the same base. You cannot remove the bottom of it quickly without unsettling everything built on top.
Here is the part the technology commentary usually skips.
Nothing in the last three years made it easier to know which of three defensible answers survives contact with an FDA inspector, a SOX auditor, and a PE operating partner who has seen this movie before. Nothing made it easier to look at a vendor demo and recognize that the configuration on screen will not hold at your actual transaction volumes. Nothing made it easier to know which decision made at month four is the one that gets rebuilt at month twenty-two. And nothing made it easier to sit in a room with a CEO who has committed a number to the board and tell him the date is wrong.
That is not retrieval and it is not production. It is judgment, and it is accountability, and both are still made the slow way — by having done the work, badly at times, for twenty or thirty years.
Which means the technology did not devalue expertise. It concentrated it. The value of a consulting hour is now almost entirely a function of whose hour it is.
Three practical consequences.
Ask who is doing the work, by name, and what else is on their calendar. This has always been reasonable. It is now the whole question. If the answer is "a team," ask what the team is for — because the tasks a team used to be necessary for are the ones that have gotten cheapest.
Stop reading team size as seriousness. For decades, a large staffed team was a costly signal of commitment. That signal has inverted. A large team may now indicate a cost structure being passed through to you rather than work that requires many people.
Be equally skeptical of "we use AI." The technology is table stakes and it is worth exactly as much as the judgment sitting on top of it. Used without that, it produces the oldest failure in consulting — a confident, well-formatted, wrong answer — and produces it in an hour instead of a week, which makes it harder to catch, not easier.
Aperigon is deliberately small and deliberately senior, and this is the reasoning behind it. We do not carry a bench, because a bench is an obligation to find work for people rather than to find answers for clients. We use current technology hard, for exactly the retrieval and production that it now does well, under the oversight of practitioners with twenty to thirty years each in Life Sciences operations. What is left is judgment, and judgment is what you are actually hiring.
That is also where our speed comes from, and why we treat it as a commitment rather than a slogan. An assessment that once required a team and six weeks can now be done properly in days. It takes days rather than hours because the judgment part did not get faster — and it does not take six weeks because the other part did.
Expertise did not stop mattering. Scarcity simply moved: out of retrieval and production, and into judgment and accountability. Buy it where it went.
Aperigon is the independent operations and systems advisor for Life Sciences companies — on your side of the table, at the speed your clock demands. If you are weighing what kind of help you actually need, start a conversation.