#fintech-and-insurance

#fintech-and-insurance

Revolutions leave behind artifacts - not always weapons or flags, but the quieter objects that carried a message before anyone knew how far it would travel. A wheat-pasted broadside on a Los Angeles overpass. A hand-lettered cardboard sign held up in the snow outside a Tokyo office building.

"The current administration has signaled that it is very pro-business and wants to make it as easy as possible for these new fintech business models such as prediction markets and crypto to operate."

In the high-stakes world of regulated AI, your model is only as good as the person who built it. We are betting on a human-first approach to technology.

Reports suggest that Stripe is considering a PayPal acquisition, although negotiations on the subject are in early stages with no guarantee of going through.

The transition here is a little bit of a fork. Rocktop Technologies is focused on some of the generative AI applications and data and documents, as well as automating some of the processes attached to default servicing and some of the trade operational pieces and capital markets.

Tokenization is about bringing real-world financial assets onto infrastructure that can support global scale and continuous market access, said Carlos Domingo, Co-Founder and CEO of Securitize.

For most of modern finance, one number has quietly dictated who gets ahead and who gets left out: the credit score. It was a breakthrough when it arrived in the 1950s, becoming an elegant shortcut for a complex decision. But shortcuts age. And in a world driven by data, digital behavior, and real-time signals, the score is increasingly misaligned with how people actually live and manage money.

The new battleground in banking is intelligent operations and scalable execution. In 2026, banking is about moving money smarter, faster, and with fewer humans in the middle. Across corporate finance and global retail operations, banks are experimenting with technology and operational design in ways that challenge long-held assumptions about scale, speed, and control. Three recent developments exemplify what's happening in money movement: Goldman Sachs deploying AI agents, Truist automating corporate receivables, and Nubank expanding abroad with a lean digital model.