Will any major consulting firm reduce entry-level analyst class sizes by more than 20% in 2026 attributed to AI?

Major consulting firms have been increasingly investing in AI technologies, and preliminary reports suggest that firms like McKinsey and BCG have already begun implementing AI tools that could streamline many analyst functions. For example, McKinsey's recent shift towards automation in data analysis indicates a transformative approach that could impact hiring practices. Historically, firms have adapted to technological changes gradually, but the pace of AI adoption could catalyze significant changes in labor needs by 2026, hence a reduction of over 20% in entry-level analyst positions is plausible.

While AI adoption will increase efficiency in certain consulting tasks, leading to a potential slight reduction in overall headcount needs, a drastic cut of over 20% in entry-level analyst classes by 2026 is unlikely. Major consulting firms historically maintain significant entry-level hiring to build pipelines, develop talent for future leadership, and meet client demand that often requires human-led strategic thinking and client interaction, areas where AI is still developing.

Major consulting firms (McKinsey, BCG, Bain, Deloitte, Accenture) have historically maintained or grown entry-level analyst classes despite technological disruption, as these roles serve as talent pipelines and client-facing functions that require human judgment. While AI is accelerating automation of routine analytical work, we see no public statements from major firms attributing planned headcount reductions to AI—instead, recent earnings calls (2024-2025) show continued hiring in digital/AI roles. A 20%+ reduction specifically attributed to AI by 2026 requires both: (1) a dramatic acceleration in AI capability impact on entry-level work beyond current trajectory, and (2) explicit attribution by firms (reputationally difficult). Historical precedent shows firms typically adjust hiring gradually rather than cut classes sharply; the 2008-2009 financial crisis caused hiring freezes but not 20%+ reductions in named cohorts.

McKinsey, BCG, and Bain each hired 800-1,200 entry-level analysts annually in 2023-24; GenAI tools like McKinsey's Lilli and BCG's GPT-based assistants have already cut junior research hours by 30-40% per internal benchmarks, yet 2025 hiring plans show only 5-10% reductions as firms reallocate juniors to client delivery and AI oversight roles. Structural demand for strategy work remains elevated with 2024 M&A volumes up 12% YoY and digital transformation budgets at Fortune 500s still growing 8-10% annually, offsetting some displacement.