The consulting industry is facing significant disruption from artificial intelligence, which is capable of performing tasks traditionally handled by junior consultants, such as research, data analysis, and presentation creation. This has led to concerns about job displacement, particularly for junior roles, and a re-evaluation of the long-standing pyramid structure of consulting firms. The ability of AI to commoditize many standard consulting outputs is forcing firms to rethink their value proposition.
Despite the threats, the industry is evolving rather than disappearing. Consulting firms are now prioritizing the 'human touch,' investing in unique human skills like judgment, empathy, and leadership, which AI cannot replicate. Firms like McKinsey, Deloitte, EY, KPMG, and PwC have invested billions in AI capabilities, with McKinsey reporting 20,000 AI agents supporting its 40,000 staff. However, there's a growing recognition that AI serves as a tool to augment human consultants, with Boston Consulting Group noting that optimal value from AI comes from 70% human contribution.
Financially, the impact has been mixed. Share prices of major consulting firms like Accenture and Capgemini have seen significant drops, with Accenture losing over 57% of its value and Capgemini nearly 40% over the last year, due to investor concerns about AI's impact on future sales. Some consulting arms of the Big Four have also seen contractions in revenue, partly attributed to clients using AI internally or opting for cheaper alternatives. Despite these challenges, overall revenue growth for some listed giants like Accenture, IBM, and Capgemini has been reported in recent quarters, and the consulting sector is expected to regain momentum with a 6% revenue growth forecast for 2026.
The rise of AI also challenges the traditional billable-hour model as clients expect consultants to leverage technology for efficiency. Clients are increasingly seeking experienced consultants who can offer deep industry knowledge, strategic judgment, and accountability for outcomes, rather than just routine tasks. This shift highlights a move towards valuing human expertise in complex problem-solving and client relationship management, aspects where AI currently falls short. Firms are restructuring, potentially moving towards an 'obelisk' model with fewer junior layers, to retain crucial talent with deep expertise.
