AI Shrinks Banks’ Junior Ranks, Threatens Talent Pipeline

Banks have traditionally operated as apprenticeship businesses, using entry-level assignments such as valuation models, presentation decks and document review to teach attention to detail and commercial judgment. Generative AI can now automate much of that routine work, promising lower costs and faster output. The shift, however, risks removing the training ground through which junior analysts become senior bankers and managing directors, leaving firms with a thinner pipeline of experienced leaders even as demand rises for employees able to deploy and supervise AI.

Bloomberg reported on June 7, 2026, that some banks were cutting junior analyst classes by as much as two-thirds, according to Debasish Patnaik, head of QuantumBlack, McKinsey & Co.’s AI consulting arm. About 62% of banks’ AI talent is drawn from those same early-career cohorts, underscoring the tension between automation and succession planning. Bank of America, by contrast, said it would take on 2,000 summer interns and 2,000 full-time recruits in June across eight business lines, while keeping overall headcount flat and using AI to improve efficiency.