McKinsey pivots from MBAs to AI engineers

Ben Ellencweig, who leads McKinsey’s AI division QuantumBlack, confirms the firm is now drawing from non-traditional talent pools, including coding bootcamps and specialized technology hubs. This shift reflects a broader industry trend where the demand for pure corporate strategy is being eclipsed by the need for experts capable of deploying production-ready AI systems. Labor-market data shows that while overall job postings at major firms like Deloitte, PwC, and BCG dropped by 24% through May 2026, AI-specific roles surged from 1.4% to 5% of all openings.

Central to this transformation is the rise of the forward-deployed engineer. These roles, which did not exist at these firms just a few years ago, now account for over 1,400 positions, requiring a rare blend of deep technical engineering experience and client-facing communication skills. QuantumBlack has mirrored this trajectory, scaling from a niche team of 47 data scientists working with Formula 1 to a massive global unit of over 5,000 professionals. Competitors like EY are following suit, moving away from a legacy reliance on accountants to build a workforce of creatives and technologists, signaling that the future of consulting is increasingly written in code.