Fomo drives poor decision-making<\/p>\n
For banks, the attraction is obvious. Their technology estates are vast, old, patched, interconnected and systemically important. A model that can scan code, identify flaws and accelerate remediation is the sort of product no chief information security officer wants to ignore. If a rival can use AI to harden its infrastructure faster, the pressure to adopt becomes intense. AI procurement is no longer driven only by productivity fear of missing out. It is becoming defensive Fomo.<\/p>\n
But defensive Fomo is still Fomo. And in heavily regulated finance, that matters.<\/p>\n
The danger is that banks buy advanced AI as if it were software-as-a-service, when some of these tools increasingly resemble critical infrastructure, dual-use technology and geopolitical chokepoints. Can a bank safely depend on a tool whose best commercial argument is also the reason Washington, or any other government, may restrict it?<\/p>\n
That is the Mythos paradox. The vendor says: this model can find serious vulnerabilities. The regulator hears: this model can find serious vulnerabilities. Same sentence; opposite reaction.<\/p>\n
The recent US intervention over Anthropic\u2019s Fable and Mythos models makes this procurement risk concrete. Anthropic said the US government issued an export-control directive suspending access to the models by foreign nationals, including foreign-national employees. While Anthropic disputes the government\u2019s rationale, the lesson for banks is that access to frontier AI can be reshaped overnight by national security decisions far outside typical vendor-management process.<\/p>\n
Your nationality matters<\/p>\n
That makes global governance ugly. The practical result is potentially two-tier internal friction inside institutions that are supposed to operate globally. A model may be available to one desk, blocked for another, usable in one jurisdiction, restricted in another, approved for some employees and unavailable to others. The same bank then has to maintain different AI toolchains, different approval processes, different audit trails and different assumptions about what staff can safely do.<\/p>\n
If a global bank cannot apply the same cyber defence process across its own estate, supervisors will want to know how consistent, auditable and resilient that process really is. And if many banks respond by clustering around the same small set of approved frontier models, the issue becomes a concentration and operational risk to boot.<\/p>\n
The vendor\u2019s incentives are not reassuring. Frontier AI companies, like Anthropic, need enterprise customers. They must prove that their models are indispensable systems. The way to do that is to demonstrate increasingly consequential capabilities, yet every step up the capability ladder strengthens the case for regulatory scrutiny.<\/p>\n
This is the trap. If the tool is only modestly useful, banks may not need it. If it is transformative, governments may not leave it alone.<\/p>\n
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