Tearsheet

4 days ago | tearsheet.co | Zack Miller

Tearsheet is excited to launch 4dFI Capital Partners, an exclusive group of out-of-the-box builders and investors building a community to invest in the next wave of fintech startups around the world. If you are an accredited investor and want to learn more, sign up hereAcross Latin America, we’re witnessing a massive shift as regions traditionally dominated by cash transactions begin embracing digital financial tools.

1 week ago | tearsheet.co | Zack Miller

The financial services industry has always been built on trust. Artificial intelligence is editing the rulebook on what that means. As banks and fintechs are pushing to deploy AI across everything from fraud detection to personalized recommendations, they’re discovering that customers’ definition of trustworthiness has evolved far beyond traditional metrics like security and reliability.

1 week ago | tearsheet.co | Sara Khairi

The tech world loves a good shake-up story, especially when it comes to payments. But when the goal is only to upend an industry, things can get lost in translation. While speed and innovation are great, and one of the essential aspects of payments, for many, even small barriers to sending money can feel like an insurmountable challenge. That’s the market Remitly has focused on.

1 week ago | tearsheet.co | Rabab Ahsan

When generative AI first launched, consumer excitement was tangible and immediate. But banks? They hit the pause button. While the rest of the world was experimenting with ChatGPT and wondering what was possible, many financial institutions defaulted to their tried-and-true strategy: wait and see. Serious conversations about AI use cases in banking were virtually nonexistent — let alone any real research and development efforts. But not JPMorgan Chase.

2 weeks ago | tearsheet.co | Sara Khairi

The shift toward AI in banking is more than a technology upgrade: it’s now an organizational transformation. Banks are realizing that deploying powerful models isn’t enough. Success equally depends on the teams behind the tech. This has led to an industry-wide focus on hiring data experts, re-skilling existing employees, and forming dedicated units that align AI use cases with specific business strategies.