AI Upskilling at Scale: Bank of America’s Bernard Hampton
Summary
Bank of America's Academy, established in 2017 and led by Bernard Hampton, is responsible for upskilling over 200,000 employees globally in AI literacy and technical skills. The organization emphasizes workforce agility, aiming to build the right skills faster, with 750 business subject matter experts integrated into the Academy. BoA filled 45% of its 20,000 open roles internally last year, highlighting the importance of continuous upskilling and internal mobility rather than headcount reduction due to AI. The Academy categorizes AI fluency into three levels, from personal productivity to large-scale workflows, and uses AI-enabled learning experiences like conversation simulators for soft skills and judgment practice in high-volume environments such as contact centers and financial centers. A separate segment introduces Cisco's universal quantum switch, designed to connect quantum computers by switching entangled photons at room temperature over existing fiber, enabling distributed quantum computing.
Key takeaway
For Directors of AI/ML or HR Professionals designing large-scale upskilling programs, prioritize a balanced approach that develops both AI technical fluency and critical human skills like judgment and empathy. You should implement AI-powered simulations for safe, practical skill development and conduct regular listening sessions to tailor training. Focus on internal talent mobility and redeployment, recognizing that continuous learning and curiosity are key to maintaining a relevant and engaged workforce amidst rapid technological change.
Key insights
Large-scale AI upskilling requires balancing technical and human skills, fostering curiosity, and integrating learning with business needs.
Principles
- Humans must always lead with AI.
- AI impact is quieter, harder, more important than hype.
- Curiosity keeps the workforce relevant.
Method
Bank of America's Academy integrates 750 business subject matter experts, uses AI-enabled simulations for practical skill development, and categorizes AI fluency into three levels for targeted training.
In practice
- Use AI conversation simulators for soft skill practice.
- Conduct listening sessions to gather AI feedback.
- Prioritize internal talent redeployment over layoffs.
Topics
- AI Upskilling
- Workforce Agility
- Learning & Development
- Internal Mobility
- Human-AI Collaboration
- Quantum Networking
- Corporate Training
Best for: Executive, Director of AI/ML, HR Professional, Consultant
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Editorial summary, takeaway, and curation by AIssential. Original article published by MIT Sloan Management Review.