In a recent LinkedIn post, Lee McCabe discusses a significant strategic shift he observes at Boston Consulting Group (BCG), contrasting it with the approaches of competitors like McKinsey and Bain. McCabe highlights BCG’s decision to continue hiring during a period when other major consulting firms were reportedly trimming staff and focusing on “efficiency.” He suggests this move, coupled with BCG’s aggressive investment in AI and engineering capabilities, signals a fundamental change in how consulting firms can generate revenue.
McCabe points out the substantial growth BCG has apparently achieved, noting its reported headcount exceeding McKinsey’s and its significant revenue figures. A key differentiator, according to McCabe, is BCG’s approach to Artificial Intelligence. He contrasts the common industry view of AI as a “margin tool” with BCG’s apparent strategy of treating it as a “revenue model.” As McCabe states:
“Most consulting firms talk about AI like it is a margin tool. BCG seems to be treating it like a revenue model. Different thing entirely.”
The analysis delves into the potential implications of this strategic divergence, suggesting that the consulting market is undergoing a significant split. McCabe argues that traditional models of delivering premium advice, often involving large teams of generalists, are being challenged by the capabilities of AI tools like ChatGPT. He posits that clients are becoming less willing to pay for services that can be automated or augmented by technology.
The Shifting Consulting Landscape
McCabe elaborates on this market bifurcation, explaining that while the value of traditional advisory services may be diminishing, there is a growing demand for implementation, analytics, engineering, product development, and automation services that deliver measurable business impact. He frames this as a shift from “clever opinions” to tangible “machinery.”
AI as a Growth Engine
McCabe’s post specifically calls out BCG’s unit, BCG X, suggesting it is being positioned as a genuine growth engine for selling engineering and AI solutions, rather than merely an “innovation lab.” This focus on practical application and revenue generation through AI is presented as a departure from the more common, innovation-focused approach seen in other firms’ labs.
“The lazy read is that BCG is just adding cheaper capacity in India. The sharper read is that the consulting market is splitting.”
He further draws a parallel to the private equity sector, arguing that value creation models there face similar pressures. McCabe criticizes the traditional private equity approach, which he suggests often relies on senior executives providing opinions and then outsourcing the execution, a model he believes is becoming obsolete.
“The next version will look much more like build, deploy, measure, fix, repeat. Less mystique. More machinery.”
In conclusion, Lee McCabe suggests that while BCG may not have all the answers, its strategy appears to acknowledge that the established consulting model is not just being incrementally improved but is fundamentally being “repriced” by new market dynamics, particularly the integration of AI as a core revenue driver.
📝 About This Content
This article is based on insights shared by Lee McCabe on LinkedIn.
📅 Originally posted on July 23, 2026 | View original post on LinkedIn →