Summary
Bank of America appointed Sonali Theisen as head of its global digital assets platform and Kevin Milsom as head of AI transformation, two roles that embed digital assets and AI into the bank's core markets infrastructure. Theisen retains her role leading Global FICC e-trading and markets strategic investments, signaling that BofA is integrating crypto rails into its core execution stack — not treating them as an innovation sandbox.
The appointments follow the June 2026 naming of Adam Dixon as global head of digital asset transformation. Theisen's remit includes stablecoins, tokenized deposits, custody, and crypto trade settlement. BofA has described its tokenization vision as "mutual fund 3.0." Milsom's AI role runs parallel, with BofA reporting 30 billion AI-driven client interactions in early 2026. The bank is building infrastructure for tokenized deposits, stablecoins, and digital collateral — the plumbing layer that could reshape capital markets.
Key Facts
- Sonali Theisen: head of global digital assets platform + Global FICC e-trading + markets strategic investments
- Kevin Milsom: head of platforms AI transformation
- Adam Dixon: global head of digital asset transformation (appointed June 2026)
- Theisen's remit: stablecoins, tokenized deposits, custody, crypto trade settlement
- BofA tokenization vision: "mutual fund 3.0"
- AI-driven client interactions: 30 billion (early 2026)
- BofA is building infrastructure for tokenized deposits, stablecoins, digital collateral
- Theisen's appointment embeds digital assets into core markets infrastructure
- BofA's phased rollout: closed-loop pilots for tokenized deposits, stablecoin settlement in select corridors
- Signals BofA moving from follower to leader in digital asset race
Why It Matters
When Bank of America creates dedicated C-suite roles for digital asset strategy and places them under a veteran markets executive who also runs FICC e-trading, it signals that the bank sees digital assets as a way to improve execution, reduce balance sheet friction, and generate P&L — not as a side project. The alignment of AI and digital assets under the same platform group is equally significant: digital asset rails create new data exhaust that AI can use for reconciliation, anomaly detection, and optimal routing.