Field notes on AI for credit unions

A growing share of fraud against financial institutions isn't coming from outside attackers. It's coming from employees who were recruited to help. Here's how the scheme works and where AI genuinely helps.

New research finds credit unions rate AI model risk as a lower threat than banks do. Given how fast AI is moving into lending decisions, that gap deserves a second look.

Europe pushed back its high-risk AI deadline, but the part of the law that did take effect this month points straight at credit scoring and lending decisions.

Jack Henry and FIS both closed out the year with AI showing up as a growing share of new business. Here's what's actually in those deals versus what's just marketing language.

Jamie Dimon is calling CEOs directly to build out an AI risk coalition spanning banking, energy, and other critical infrastructure. It's a signal worth reading even if you'll never be in the room.

New research from this earnings season names fragmented, messy data as the top blocker to expanding AI in financial services, well ahead of cost or talent. Here's what that means in practice.

A meaningful line is being crossed in banking right now: AI moving from suggesting an action to a person, to taking the action itself. Here's a sober look at where that line should sit for a credit union.

AI is quietly becoming core banking infrastructure, but the question of who's actually checking that it works correctly, and stays that way, doesn't have a clean answer yet.

A major European bank just committed up to €2 billion over three years to its data and AI foundation. The number itself doesn't translate to a credit union budget, but the reasoning behind it does.

The IMF just labeled AI-driven cyber risk a financial stability issue, not just an IT problem. That reframing matters for how credit union risk committees should be thinking about it.