We've been building AI for financial institutions for three years, and getting our own organization to adopt it has still been one of the harder problems. We say that not as a confession. We say it because we think it's the most honest and useful thing we can tell anyone who's trying to drive AI adoption inside their own company right now. Two years ago, the bar was: is your team using ChatGPT? Fine. Adoption was uneven but the stakes were lower. Maybe some people were using it well, some weren't. It didn't break you. Today the bar is completely different. Agentic AI - coding agents, workflow automation, AI-assisted go-to-market isn't a productivity tool you opt into. It's an organizational capability you either have or you don't. And the gap between teams that have it and teams that don't compounds every quarter. At Multimodal, that's meant being very deliberate about who the champions are, who the stewards are, and who the laggards are and being honest about what to do when someone isn't adapting fast enough. We've made hard calls. Some people who weren't moving at the pace the technology demands are no longer here. That's not a comfortable thing to say. But we think it's the right frame. The job of a leader right now isn't just strategy or product vision. It's getting every level of the organization to actually use the tooling — in the most optimal way — before your competitors do. The pace of adoption inside your organization is a competitive variable. Most leaders haven't started treating it that way yet. #AI# #Leadership# #AgenticAI# #Startups# #FintechNews#

Nubank is preparing its US launch. This company’s numbers are GOATed. - 139m Customers - $17 in RPAC - and a 19.5% efficiency ratio. What's the tech that makes that possible? Eric Young, @nubank CTO explains Fintech NerdCon @FintechNerdCon