The Consulting Pyramid’s Gravity Problem: Lee McCabe on AI’s Impact on Traditional Models

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Lee McCabe

LinkedIn Author

Private Equity, Digital Value Creation, Board Member, Investor

In a recent LinkedIn post, Lee McCabe discusses the significant shifts occurring within the management consulting industry, particularly how the traditional “consulting pyramid” model is being challenged by advancements in technology and evolving client needs. McCabe argues that the era of selling generalized insights at premium rates is waning, replaced by a demand for tangible operational improvements and true value creation.

McCabe begins by describing the long-standing model that characterized the industry for a decade: hiring numerous generalist consultants, leveraging travel time, and repackaging common knowledge into expensive reports. He notes the apparent decline in headcount at major firms, suggesting a fundamental change is underway.

“The consulting pyramid appears to have discovered gravity.”

According to McCabe, major consulting firms are reportedly reducing their workforces. He points to McKinsey potentially shrinking from over 45,000 to around 40,000 employees, Bain making quiet cuts, and Accenture focusing on industrial-scale operations, trimming generalists while investing in AI capabilities. While Boston Consulting Group (BCG) is mentioned as an exception, McCabe suggests even its growth is increasingly driven by its India operations, indicating a shift in cost structures even for firms maintaining their branding.

The Shift from Labor Arbitrage to Operating Leverage

McCabe posits that the core product of traditional consulting was essentially labor arbitrage, disguised as strategic insight. He contends that the future, and indeed the present, requires a new product centered on operating leverage.

Redefining the Consulting Product

As Lee McCabe explains, the new consulting paradigm must focus on delivering concrete results rather than abstract analysis. This involves employing fewer, more specialized individuals, leveraging superior data, embracing automation, facilitating quicker decision-making, and ensuring actual implementation of solutions. McCabe is critical of the outdated approach:

“Portfolio companies do not need another 90 page market scan explaining that customers like convenience and competitors use Google. They need pricing fixed, CRM working, attribution cleaned up, conversion improved, and someone accountable for EBITDA rather than “workstreams”.”

This perspective highlights a growing client impatience with theoretical advice and a strong demand for measurable impacts on key business metrics. McCabe’s analysis suggests that clients are seeking partners who can directly address operational inefficiencies and drive profitability, rather than those who merely provide market overviews.

AI as a Catalyst, Not a Killer

Contrary to fears that artificial intelligence might eliminate the consulting profession, McCabe argues that AI is actually eliminating the less valuable aspects of it. He believes AI is dismantling the parts of consulting that relied heavily on junior labor, recycled presentations, and overconfidence without substantial deliverables.

“AI is not killing consulting. It is killing the bit of consulting that was mostly graduate labour, recycled slides and expensive confidence. Which, unfortunately, was quite a lot of it.”

In Lee McCabe’s view, firms that fail to adapt to this new reality, which emphasizes data, automation, and implementation, risk becoming obsolete. The lesson for private equity firms, who are significant clients of consulting services, is clear: the value proposition must shift from the number of hours billed to the demonstrable operational improvements and financial gains achieved within their portfolio companies. This necessitates a focus on efficiency and effectiveness, driven by technology and smarter resource allocation, rather than sheer human capital.

📝 About This Content

This article is based on insights shared by Lee McCabe on LinkedIn.

📅 Originally posted on July 14, 2026 | View original post on LinkedIn →