The Leverage Trap: How the Pyramid Model Eats Quality From the Inside
The model was designed to maximise one thing. The PCAOB is now measuring what it sacrifices.
Every professional services firm runs on the same equation, and every partner knows it by heart even if they never write it down. The equation is simple: hire ten people, bill them at rates that exceed their cost by a factor of three or four, keep them busy at least 75% of the time, and extract the margin as partner profit. The people at the bottom do the work. The people at the top collect the spread. The entire organisational structure exists to maximise that spread.
This is the pyramid model. It made the Big Four and MBB what they are. And it is now eating their quality from the inside.
We are not the first to observe that professional services firms are built on labour arbitrage. But most commentary on the pyramid treats it as a business model critique, something to be debated in the abstract. We want to do something different: show you the specific numbers, the specific pressure points, and the specific mechanism by which the pursuit of higher utilisation and wider billing-rate spreads produces the declining quality that regulators are now measuring in black and white.
How the pyramid actually works
The economics are stark once you strip away the professional mystique.
A first-year analyst at a Big Four firm in the United States earns somewhere between $65,000 and $85,000 in base salary, depending on city and service line. The firm’s fully loaded cost for that analyst, once you add benefits, office space, technology, training, and administrative overhead, is typically estimated at $120,000 to $150,000 per year. That same analyst is billed to the client at rates between $200 and $400 per hour, depending on whether they sit in audit or advisory. At 1,500 billable hours per year (roughly 75% utilisation of available working time), that analyst generates $300,000 to $600,000 in fee revenue.
The gross contribution from a single first-year analyst, before write-offs and non-billable time, can reach $200,000 to $450,000 per year. Multiply that across the base of the pyramid and you have the economics of a Big Four partnership.
At the top of the billing schedule, GSA federal supply schedules published in 2024 list not-to-exceed ceiling rates for government contracts: a McKinsey senior partner at $1,194 per hour. A BCG senior partner: $1,116 per hour. McKinsey engagement managers sit at $834. Associates and analysts range from $327 to $498 per hour. Commercial rates are often higher. The gap between what a first-year associate costs the firm and what the client pays for that associate’s time is where the entire business model lives.
Partners understand this intuitively. They talk about it in terms of “realisation” (the percentage of standard rates actually collected) and “leverage” (the ratio of junior staff to partners on an engagement). An engagement with one partner, one manager, and eight associates or analysts is highly leveraged. An engagement with two partners and three senior managers is poorly leveraged. The economics of the first are spectacular. The economics of the second are mediocre.
The incentive, therefore, is always to increase leverage. Put more junior people on the engagement. Reduce the partner’s time. Bill the junior hours at the highest rate the client will tolerate. The partner who masters this arithmetic makes more money for the firm, gets promoted, and sets the template for how engagements should be staffed.
The utilisation ratchet
If leverage is the width of the pyramid, utilisation is the intensity at which it operates. Utilisation measures the percentage of a consultant’s available working hours that are billed to a client. The industry targets a range of 75% to 85%. Firms treat the lower bound as a performance floor and the upper bound as an aspiration, though they rarely say so in writing.
The SPI Professional Services Benchmark surveyed 403 firms in 2024 and found that the average billable utilisation across the industry had fallen to 68.9%, the lowest figure in five years. The benchmark identifies 75% as the optimal threshold; above 80%, firms risk burnout and quality erosion. The difference between 70% and 80% utilisation for a firm with 1,000 consultants, at an average billing rate of $300 per hour, is roughly $60 million in annual revenue. Same people, same offices, same overhead.
That sensitivity explains why utilisation is tracked weekly, discussed in every partner meeting, and treated as the single most important operational metric in every Big Four and MBB firm we worked at. When your utilisation report comes back at 68%, your practice leader calls you. When it drops below 65%, you are on a list. When it stays there for two consecutive quarters, your trajectory at the firm changes permanently.
The pressure flows downhill. Partners who face utilisation shortfalls staff engagements more aggressively, which means assigning fewer people to each project and expecting each person to carry more billable hours. We have seen, in our own firms, the implicit bargain that forms under this pressure: if you bill 80%, nobody asks whether the hours were productive. If you bill 65%, everyone asks everything.
We sat in those meetings. We watched partners present their utilisation dashboards with the same gravity that a hospital administrator would present mortality rates. And in a sense, the analogy is apt. Below a certain utilisation threshold, the firm’s financial health deteriorates rapidly. Above a certain threshold, the quality of the work deteriorates instead. The question the model never answers, and the one the partners never ask aloud, is: where is the crossover point? At what utilisation rate does the pressure to bill start producing work that should not carry the firm’s name?
The billing-rate gap
The pyramid creates a second, related problem: the widening distance between what the client pays and what the client gets.
A Big Four advisory engagement manager billing at $500 to $700 per hour has, in most cases, four to seven years of post-university experience. (Audit rates are lower, typically $300 to $500 for equivalent seniority, but the leverage dynamics are identical.) Some of that experience is excellent. Some of it consists of having run the same methodology on six similar clients and knowing which slides to reuse. The client pays a rate that implies seasoned expertise. The client receives someone who is competent, hardworking, and following a playbook written by someone more senior who is no longer on the engagement.
Across the industry, firms typically charge 2.5 to 4 times the loaded cost of the consultant actually doing the work. That multiplier is the pyramid in a single number. When a client pays $600 per hour for a senior consultant, perhaps $150 to $200 of that represents the consultant’s compensation and direct costs. The remaining $400 to $450 funds the partner’s draw, the firm’s overhead, and the margin that makes the partnership economics work.
None of this is secret. Sophisticated procurement teams at large corporations have understood these economics for years. What has changed is the willingness to accept them. Fifteen years ago, the brand premium justified the spread: you paid McKinsey rates because the McKinsey name on the report carried weight in the boardroom. Today, procurement teams are asking to see the resumes of the actual team members, demanding fixed-fee structures, and questioning why the partner who pitched the work billed four hours in a twelve-week engagement.
The pyramid depends on the client not asking that question, or not caring about the answer. Increasingly, clients are asking. And they care.
What the PCAOB data actually shows
If the pyramid model’s effect on quality were theoretical, this would be a thought exercise. It is not theoretical. The Public Company Accounting Oversight Board has been measuring audit quality at the largest firms for over fifteen years, and the data tells a specific, quantifiable story.
The PCAOB inspects audits and identifies “Part I.A deficiencies,” cases where the auditor did not obtain sufficient appropriate audit evidence to support the audit opinion. A deficiency does not necessarily mean the financial statements are wrong. It means the auditor did not do enough work to determine whether they are right — a distinction that matters legally but should concern investors either way.
The trajectory from 2020 to 2024 is consistent with the pattern you would expect if the pyramid’s incentive structure were a contributing factor.
In 2020, the Big Four’s aggregate deficiency rate was 12%. By 2021 it had risen to 16%. By 2022 it reached 26%, where it stayed through 2023. In 2024, following intense PCAOB pressure and public criticism, the rate improved to 20%. At the all-firm level, the picture is worse: deficiency rates climbed from 29% in 2020 to 46% in 2023 before improving to 39% in 2024.
Consider those numbers for a moment. In 2023, nearly half of all audits inspected by the PCAOB lacked sufficient evidence. Among the Big Four, one in four audits was deficient. Among the firms outside the Big Four, the numbers were catastrophic: BDO USA posted an 86% deficiency rate in 2023, meaning that in 25 of its 29 inspected audits, the PCAOB found the firm had not gathered enough evidence to support its opinion. Grant Thornton reached 54%.
The 2024 improvement is real and worth acknowledging. Deloitte dropped to 14%, the lowest among the Big Four. PwC reached 16%. KPMG hit 20%. EY, which had the worst Big Four record at 46% as recently as 2022, improved to 28%. BDO fell from 86% to 60%, a significant move in the right direction. The gap between the best and worst performers narrowed from 68 percentage points in 2023 to 46 in 2024.
But the improvement itself reveals the mechanism. By mid-2024, EY had already shed 84 audit clients since January 2023, a net loss of 63 public-company engagements at a cost of approximately $215 million in audit fees. By June 2025, the total had grown to 132 departures and a net loss of 101 clients. Deloitte, KPMG, and PwC all gained clients in the same period. EY’s vice chair for assurance acknowledged the strategy was intentional: reduce the portfolio to allow auditors to dedicate more resources to each remaining engagement.
In other words, EY improved quality by reducing the pyramid’s workload. Fewer engagements per auditor. More time per audit. Less utilisation pressure. The fix for the problem created by the model was to partially reverse the model’s own logic.
The up-or-out accelerant
The pyramid requires constant fuel. Junior professionals enter at the base, work for two to four years, and either advance or leave. The industry calls this “up or out,” and it is presented as a meritocratic tournament. In practice, it is a staffing model. The firms need a constant supply of inexpensive junior labour to maintain the billing-rate spread, and they need most of that labour to leave before it becomes expensive. (The ideal associate, from the model’s perspective, is one who bills intensely for three years and then leaves to make room for the next cohort — taking nothing with them but a line on their CV.)
According to SPI’s benchmark data, attrition rates across professional services ran at approximately 11.7% in 2024, down slightly from the five-year average of 12.8%. At the Big Four, voluntary turnover among junior staff is typically higher, often approaching 15% to 20% in competitive labour markets. The firms budget for this. They plan for it. When attrition drops below expected levels, as it did during parts of 2023 and 2024 when the external job market tightened, the firms face an overstaffing problem that they solve with layoffs, reduced intake, or both.
Deloitte UK promoted 60 employees to partner in 2025, down from 81 the year before; the 2026 round dropped further to 48. Partner promotions across the Big Four have contracted. KPMG is consolidating its global network from over 100 national entities to roughly 30. PwC reduced its global headcount by 5,600 in its 2025 financial year.
The up-or-out model creates a specific quality problem that every partner reading this will recognise. When a second-year associate leaves, they take with them whatever institutional knowledge they accumulated. Their replacement is a first-year associate who must learn the client, the industry, the methodology, and the firm’s internal systems from scratch. The client pays the same rate. The engagement manager absorbs the transition cost in unpaid hours of supervision. The deliverable quality dips during the transition, recovers partially as the new associate gets up to speed, and dips again the following year when that associate, now experienced and productive, also leaves.
Multiply this cycle across every engagement team at every Big Four firm, and you have a permanent quality drag built into the model’s DNA. The firms know this. They have known it for decades. The reason they tolerate it is that the economic benefit of cheap junior labour exceeds the economic cost of the churn. Quality is the variable that absorbs the difference.
The constraint that loosened
For most of the history of these firms, quality was maintained by two forces: partner involvement and client scrutiny.
Partner involvement meant that a senior professional with fifteen or twenty years of experience personally reviewed significant workpapers, challenged analytical conclusions, and took direct accountability for the engagement’s output. The partner’s reputation was on the line. Their name (in audit) or their client relationships (in advisory) provided a check on the pyramid’s tendency to push work downward.
Client scrutiny meant that the buyer of the work was sophisticated enough to notice when quality slipped. A CFO who reviewed the audit workpapers. A board member who read the strategy report and asked hard questions. A procurement director who compared this year’s deliverable to last year’s and noticed that the analysis was thinner.
Both constraints have weakened.
Partner involvement declined as the economics pushed partners to manage more engagements simultaneously. A partner overseeing eight audit clients cannot give each one the attention they would have given when overseeing four. The partner-to-engagement ratio has shifted in every firm we worked at, and the direction is always the same: more clients per partner, less time per client. The partner shows up for the kickoff meeting and the final presentation. Everything between — and that is where the actual audit work lives — is reviewed by managers and senior associates whose incentive is to keep the engagement moving, not to slow it down with questions.
Client scrutiny declined as corporate buyers increasingly purchased the brand rather than the work. “We hired Deloitte” is a statement that protects the executive who made the decision. If the work is mediocre, that is Deloitte’s problem; the decision to hire them was sound. This dynamic removes the buyer’s incentive to evaluate quality closely, which removes the external pressure that once forced the firms to maintain standards despite the pyramid’s internal pressure to cut costs.
When both constraints loosen simultaneously, the model does what it was always designed to do: maximise margin. Utilisation goes up. Leverage increases. Junior-to-senior ratios widen. The billing-rate spread grows. And quality declines, because quality was never the objective of the model. Quality was the constraint on the model. When the constraint weakens, the model optimises for what it was built to optimise for.
The numbers behind the improvement
The 2024 PCAOB data deserves closer reading, because the improvement, while genuine, does not mean the model has corrected itself.
A 20% deficiency rate for the Big Four means that one in five inspected audits lacked sufficient evidence. In 2020, that number was roughly one in eight. The “improved” 2024 rate is still materially worse than where these firms stood four years earlier.
The individual firm data tells a more granular story. Deloitte’s 14% rate in 2024 is the strongest performance among the Big Four, and its inspectors reviewed 63 audits to reach that figure. EY’s 28% rate, despite the client shedding and billion-dollar investment, still means that inspectors found significant deficiencies in 18 of 64 reviewed audits. In two of those 18 engagements, the firm’s opinion on internal controls was determined to be incorrect and had to be revised. In one, the client restated its financial statements entirely.
Outside the Big Four, the deficiency rates remain alarming. BDO’s 60% in 2024, while a genuine improvement from 86%, still means that 18 of 30 inspected audits were deficient. The PCAOB found 2.4 deficiencies per inspected BDO audit, eight times the rate at Deloitte. Grant Thornton posted a 48% deficiency rate, down from 54%.
The firms that improved did so through identifiable actions: investing in technology, standardising procedures, shedding high-risk clients, and responding to regulatory pressure. Those are real steps. But they are steps taken against the direction of the model’s natural incentives. The moment the regulatory pressure eases, the model’s incentives reassert themselves. Hire cheaper. Staff leaner. Bill higher. Utilise more.
And there are reasons to think the pressure is already easing. In February 2026, the SEC swore in Demetrios Logothetis as the new PCAOB Chair, replacing Erica Williams, whom SEC Chair Paul Atkins had pushed out in July 2025. Logothetis is a retired EY partner with forty years at the firm. The SEC simultaneously cut the PCAOB’s budget and reduced the Chair’s salary by 52%. You can draw your own conclusions about the direction of regulatory intensity.
We have watched this cycle before. The post-Enron reforms of the early 2000s produced a temporary improvement in audit quality. The improvement lasted until the memory of Arthur Andersen faded and the pressure to grow reassumed its primacy. The post-2008 scrutiny produced another temporary correction. The pattern is consistent: scandal produces regulation, regulation produces improvement, improvement reduces pressure, reduced pressure allows the model to reassert itself, and quality declines again.
What the model cannot fix
The pyramid is the firm itself, not a policy that management can simply revise. The partnership economics, the compensation structure, the staffing ratios, the career tournament, the billing model, the client relationship architecture are all load-bearing elements of the same structure. You cannot remove the utilisation pressure without reducing partner income. You cannot reduce leverage without increasing the cost per engagement, which means raising fees or cutting margins. You cannot slow the up-or-out churn without creating a workforce that ages in place and becomes too expensive for the model to support.
Some firms are experimenting at the edges. EY’s client shedding is one example. KPMG’s consolidation of its global network from over 100 entities to roughly 30 is another; it is an acknowledgement that most of the federation’s country operations could not justify their cost structures independently. Deloitte restructured its core business lines in 2024. PwC reduced headcount.
But none of these moves address the fundamental architecture. They are efficiency measures within the existing model. The pyramid remains. The billing-rate spread remains. The utilisation targets remain. The up-or-out churn remains. And as long as those elements remain, the incentive to trade quality for margin remains with them.
The Big Four generated over $220 billion in combined revenue in their 2025 financial years, employing roughly 1.5 million people. Those are not organisations that can pivot to a fundamentally different model without risking the economics that fund partner compensation. The partners vote on changes. The partners benefit from the status quo. The math is straightforward.
Where the floor might be
The industry’s own benchmarks suggest that 75% billable utilisation is the threshold below which profitability deteriorates rapidly. EBITDA across surveyed professional services firms fell from 15.4% in 2023 to 9.8% in 2024 as average utilisation dropped to 68.9%. Revenue per consultant declined to $199,000.
But the quality threshold runs in the opposite direction. Above 80% to 85% utilisation, the SPI benchmark notes that firms risk burnout, attrition, and delivery quality erosion. The PCAOB data is consistent with this: the deficiency rate escalation from 2020 to 2023 coincided with a period when firms were pushing utilisation to recover from pandemic-era disruption and meet post-pandemic demand with leaner teams. Other factors contributed too, including audit complexity, remote working, and staffing shortages. But the pyramid’s incentive structure sat underneath all of them, amplifying every pressure.
The window between “profitable enough to sustain the partnership” and “not so pressured that the work product degrades” is narrow, perhaps ten percentage points wide. And it is narrowing further as AI compresses the value of the analytical hours that junior staff bill, as clients demand fixed fees that limit the upside of high utilisation, and as the talent pipeline produces graduates with less institutional loyalty and shorter expected tenure.
We spent our careers inside this model. We benefited from it. We managed our own utilisation dashboards and our own leverage ratios, and we contributed to the pressure that cascaded down to the people doing the work. We are describing a system we participated in, not one we observed from outside.
The question we never answered, and that no partner meeting we ever attended attempted to answer, is the one we are putting to you now.
What utilisation rate is the floor? At what point does the math make quality impossible? Is there a number below which the pyramid cannot compress without the work becoming something no client should rely on? And if you are a current partner reading this: do you know what your firm’s number is? Has anyone ever tried to calculate it?
We think the PCAOB data is the beginning of that calculation. One in five Big Four audits failing to gather sufficient evidence is the model’s output, measured in black and white.