BofA appoints AI chiefs for global markets, digital assets
Bank of America is restructuring its global markets division to integrate artificial intelligence and digital assets, signaling a multi-billion dollar bet on technology to drive future trading revenues.
Bank of America has named a roster of senior executives to lead artificial intelligence integration across its global markets division. The organizational moves, detailed in a July 17 memo from Ashok Krishnan, head of global platforms, are designed to modernize the bank's trading technology and expand automation.
Kevin Milsom will take on the newly created role of head of platforms AI transformation. He will report into a division that Krishnan oversees specifically to drive the rollout of generative AI tools and other new technologies.
Amy Avery and her Analytics, Modelling & Insights team are also being brought under the global platforms umbrella. In this new structure, the team will be responsible for overseeing data-driven insights across the entire company.
The reshuffle simultaneously establishes a new leadership role focused on emerging financial technology. Sonali Theisen was named head of the global digital assets platform. She will hold this new position alongside her existing duties as head of Global FICC E-trading and markets strategic investments.
Infrastructure convergence
Placing the digital assets chief directly within the FICC E-trading structure is a notable organizational choice. Fixed income, currencies, and commodities represent massive markets where electronic trading is deeply entrenched. For market professionals, aligning digital assets with FICC E-trading indicates BofA is preparing its core trading infrastructure to handle tokenized traditional assets.
These leadership appointments underscore the financial scale of Bank of America's technology strategy. Late last year, the bank's chief technology officer revealed plans to spend billions of dollars specifically on artificial intelligence. The bank's stated objective for this capital expenditure is to measurably increase the productivity of its bankers and to generate new revenue.
For investors tracking bank technology spending, the memo signals that BofA is moving past the experimental phase of generative AI. Embedding a dedicated analytics unit into a broader technology modernization effort points to a strategy of building proprietary, data-heavy models. If successfully deployed across global markets, these tools could significantly improve trade execution, reduce operational costs, and benefit the bank's margins.
