Bank of Montreal is stepping up its technology push with a new research hub focused on marrying artificial intelligence and quantum computing — a move with clear implications for digital finance and tokenized infrastructure.
BMO has launched the BMO Institute for Applied Artificial Intelligence and Quantum, led by Kristin Milchanowski, who recently moved from chief AI and data officer into the expanded role overseeing both AI and quantum work across the bank. A quantum mathematician by training, Milchanowski says the institute will “provide a platform for AI and quantum to converge” as BMO expands its research and aims to stay at the cutting edge of both fields.
Why it matters
- The institute formalizes BMO’s long-running use of AI while building structured capabilities around quantum computing, governance, ethics and commercialization. Quantum computing is still largely experimental but is widely viewed as able to tackle problems classical systems struggle with.
- BMO is already exploring quantum use cases with clear financial relevance: portfolio optimization, advanced risk analysis and anti-money laundering (AML) processes — areas that involve complex calculations where next‑generation compute could add value.
Where the work stands
Milchanowski says her team has achieved what she calls “quantum utility,” meaning they can “do a real business function inside of a quantum environment and get a useful result.” She stresses the work remains research-driven: “I don’t know of any institution that is actually putting it into production,” she added. Still, the bank believes it’s the right time to invest and prepare for near-term advances. Industry momentum is building too — McKinsey found the share of quantum firms with more than 100 employees rose to 39% in 2024, up from 9% a year earlier.
AI in production today
BMO continues to scale AI across core operations, particularly in compliance and fraud controls. Chief risk officer Piyush Agarwal noted AI has already cut the number of false AML alerts by roughly 10% and shortened adverse media search times from about 180 minutes to roughly 20. The bank has said it will rely more heavily on AI to help meet financial targets.
Competitive context
Other major Canadian banks are similarly accelerating AI efforts: TD is targeting operational simplification and big cost savings with AI, while RBC has warned of an “AI arms race” among lenders.
Ecosystem ties and recognition
BMO has deepened partnerships in advanced computing: it became the first Canadian bank to join the IBM Quantum Network, gaining access to quantum infrastructure and research collaboration. The bank has also earned industry accolades, including a top‑10 global ranking for AI innovation from Evident AI and a Commercial Banking Impact Award for Artificial Intelligence and Advanced Analytics from Datos Insights.
A push into tokenized cash
Alongside AI and quantum research, BMO is moving into digital asset infrastructure. The bank plans to launch a 24/7 tokenized cash platform with CME Group and Google Cloud — the first deployment of CME’s tokenized cash solution on Google Cloud’s Universal Ledger. That project signals growing institutional interest in on-demand, tokenized settlement rails that could reshape liquidity and payments in capital markets.
What to watch
Progress from BMO’s institute, pilot results on quantum-enabled use cases, and the rollout of the tokenized cash platform will be the next milestones to monitor as banks race to integrate AI, quantum and distributed-ledger technologies into mainstream finance.
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