The Bloomberg terminal was built for a world where the data that matters is mostly in one place. Credit markets don't really work like that.
Over the course of my career in credit, the information that actually drove decisions was scattered across sources that were never designed to talk to each other. Dealer color in Bloomberg chat. Documents buried in Intralinks data rooms. Emails flying between syndicate desks, risk managers, compliance, and other stakeholders. Client calls and internal conversations that were supposed to be logged but were usually gone five minutes after they happened. Broker runs from 15 different shops. Analyst models and credit committee notes from three months ago that nobody could find when they needed them.
Everyone had an informational edge buried somewhere in that stack. The question was whether you could get to it fast enough, or synthesize it fast enough, before the window closed.
That problem hasn't gone away. If anything it has gotten worse as the number of sources has grown. People are bombarded by information right now, and the hardest part isn't finding it. It's figuring out what's actually relevant.
I've spent the last nine months building AI tools that do exactly this kind of synthesis for my own work. The part that surprised me: the hard problem isn't the technology. It's deciding which information actually matters at the moment of decision versus what's just noise.
That's a judgment call. And it's the same judgment call that made some traders and PMs better than others long before AI existed.