The increasing use of artificial intelligence in financial systems is driving a shift towards a model where machines manage transactions on a massive scale, posing new challenges related to control, oversight, and infrastructure, according to executives from Microsoft and Chainalysis. Bill Borden, Microsoft's corporate vice president of worldwide financial services, stated that traditional systems will face mounting pressure as transaction demands become more intricate. The turning point is reached when 'latency, scale, and complexity start to impact your ability to compete,' forcing companies to rethink their system architecture, he explained at an event in New York City.

While automation has long been present in finance, Borden noted that the focus is now shifting from capability to trust. 'It's not about whether technology can automate the execution of a hedging strategy - that can be done.

The question is: can you trust it? Can you audit and control it?' he asked. To manage this transition, Microsoft is developing tools, including systems that assign identities and permissions to AI agents and monitor their actions. In regulated environments, Borden emphasized that companies must be able to demonstrate 'what controlled it' and whether a system 'followed the policy' when decisions are made without direct human intervention.

Jonathan Levin, co-founder and CEO of Chainalysis, pointed out that the cryptocurrency sector already provides a working model of automated finance. Blockchain networks process large volumes of transactions through smart contracts and software-driven wallets, creating an environment similar to agent-based systems.

'We've been preparing for these moments long before other parts of the financial services industry,' Levin said. This experience extends to risk management, with Levin citing efforts to track illicit funds across 'thousands of different wallets' as an example of the kind of monitoring required in a system where transactions occur at scale without direct human input.

Looking ahead, both executives anticipate a mix of systems coexisting. Levin predicted that 'the majority of commerce in 10 years will be settled on public infrastructure,' while Borden envisioned a more integrated approach linking public blockchains, private networks, and existing payment rails. 'I believe traditional payment rails will continue to exist,' Borden said, with software acting as the layer that connects them.