AI Upskilling at Scale: Bank of America’s Bernard Hampton

2026-06-16 · Source: MIT Sloan Management Review · Field: Business & Management — Human Resources & Workforce Development, Corporate Strategy & Leadership · Depth: Intermediate, extended

Summary

Bank of America's Academy, led by Bernard Hampton, is upskilling its global workforce of over 200,000 employees for an AI-driven future. Established in 2017, The Academy focuses on workforce agility, building both technical and soft skills. The bank fills 45% of its open roles internally, hiring 20,000 people last year, including 2,000 campus hires. Hampton outlines a three-level AI adoption approach: personal productivity for all roles, function-specific systems, and large-scale horizontal workflows. The strategy emphasizes human-in-the-loop principles, using AI for tasks like research and writing, but reserving human judgment for critical decisions. AI-enabled simulations, particularly in high-volume environments like contact centers and 3,500 financial centers, help employees practice complex client interactions and high-risk transactions, ensuring proficiency and ethical considerations. The bank's client AI solution is used over 169 million times per quarter.

Key takeaway

For HR professionals and AI/ML Directors developing workforce strategies, recognize that AI upskilling requires a dual focus on technical fluency and critical human skills like judgment and empathy. Implement structured learning pathways, including AI-powered simulations, to foster practical application and psychological safety. Prioritize internal talent redeployment over headcount reduction, leveraging employee acumen and loyalty. Regularly solicit employee feedback to refine AI adoption strategies and ensure intentional, rather than experimental, technology integration.

Key insights

Organizations must prioritize workforce agility and a balanced development of technical and human skills for AI adoption.

Principles

• Humans should always lead with AI, especially for judgment.
• Curiosity and learning agility maintain professional relevance.
• Collaboration is crucial in an AI-enabled work environment.

Method

Implement a three-level AI adoption strategy: personal productivity tools, function-specific systems, and large-scale horizontal workflows, supported by AI-enabled simulations for skill development.

In practice

• Use AI conversation simulators for soft skill practice.
• Conduct listening sessions to gather AI adoption feedback.
• Measure high-value work time, not just productivity.

Topics

• AI Upskilling
• Workforce Agility
• Human-in-the-Loop AI
• AI Training Simulations
• Talent Redeployment
• Corporate Learning

Best for: Director of AI/ML, HR Professional, Executive

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Editorial summary, takeaway, and curation by AIssential. Original article published by MIT Sloan Management Review.