As artificial intelligence (AI) technologies advance, the role of strategic consultants faces significant scrutiny and potential disruption. Unlike professions such as law or accounting, where human oversight remains essential due to legal responsibilities, strategic consulting primarily offers advice whose value is judged by its usefulness rather than formal accountability. This distinction raises questions about the future demand for consultants as AI systems become capable of delivering faster and cheaper strategic analysis.

Leading firms in the field, including McKinsey, Bain & Company, and Boston Consulting Group (BCG), assist senior executives in tackling complex business challenges. Their work is distinguished from technology or process-focused consulting by its emphasis on high-level strategy formulation. The service they provide has been interpreted in various ways: some view consultants as providing an authoritative endorsement of decisions management has already made; others see them as facilitators of knowledge transfer across organizations; and still others consider their contributions essential to improving corporate productivity.

AI poses a threat to many of these activities. Tasks such as conducting industry research, synthesizing strategic patterns across companies, and generating actionable recommendations fall within AI’s growing capabilities. When delivered in formats like slide decks, these outputs increasingly risk commoditization.

However, consultants argue that the primary value they add lies beyond producing strategic recommendations. The greater challenge is implementing change within organizations. Executives and board members often hold divergent views and interests, complicating consensus-building. Successfully navigating these dynamics requires personal relationships, trust, negotiation, and managing resistance. Kristy Ellmer, managing director and partner at BCG, likens this to a “contact sport” where AI can assist with analysis but cannot replicate the intricate human skills needed to orchestrate change.

Economist Luis Garicano offers a related perspective, describing consulting as addressing a dispersed and tacit information problem. Much of the knowledge critical for transformation is held by individuals who may conceal or distort information for personal benefit. Furthermore, this knowledge often emerges only through direct human interaction. He cautions that no existing dataset can train AI systems to fully replicate the consensus-building and problem-solving dynamics inherent in strategic consulting, drawing an analogy to the failed attempts at socialist central planning criticized by economist Friedrich Hayek.

In this context, strategic consultants sell more than intelligence; they sell a process that encompasses human engagement and organizational influence. Nonetheless, the industry likely will contract as AI takes over considerable portions of the analytical workload. This shift poses challenges for training future consultants and necessitates evolving business models. Increasingly, firms are moving away from time-based billing toward outcome-based fees, reflecting a market adapting to the reduced demand for bulk analytical effort.

The strategic consulting sector may need to apply its own advice as it navigates these transformations. As traditional functions evolve or diminish under AI’s pressure, adapting to new realities will be crucial for sustaining relevance and value in the years ahead.