Today came Coinbase's Take Control release, a suite of new products for building out the "Everything Exchange," one of which was Coinbase Advisor, an SEC-registered AI investment advisor rolling out first to Coinbase One members in the US.
Pair it with Coinbase for Agents, which landed last week and gave outside agents a way to connect and place trades, and you have a full path from advice to execution running through agents on America's largest crypto exchange.
While it would be easy to write this off as a novelty, a toy for AI hobbyists to wire up bot-based trades, what makes it worth a closer look is all the research, data, and trading surfaces Coinbase (and other fintechs) keep under one roof. On their own these products can look disparate or even excessive, but an agent is the thread that ties them together, letting all the platform's offerings be easily accessed with the sole purpose of making investing more profitable. Fintechs are increasingly opening that door: Robinhood did so yesterday, releasing agent trading to its users, with Kraken and Gemini before it.
It's an interesting new paradigm, one which benefits these platforms and their users alike.
Why Finance Goes First
We all know agents are good at research, or a particular kind of research: less for generating ideas than for running targeted searches to confirm or kill a thesis.
That strength fits investing better than almost anything. Investing buries you in information, as much qualitative as quantitative, more than anyone can read, and offers a rare scorecard on top of it: the position either made money or it didn't. That makes investing a great arena for agentic work.
But research is only half of the process. Execution matters just as much and is arguably more prone to human error. A thesis you act on late, size wrong, or stop watching is worth nothing. Agents absorb that load, smoothing out the human kinks that can trip up a trade. Hand one a fixed set of rules and it runs the whole loop. Doing so from a single platform goes even further, making the system far more reliable as connectivity or tool issues prove less of a problem.
How It Looks in Practice
Alongside its launch yesterday, Robinhood's VP of Product, Abhishek Fatehpuria, demoed this, having an agent draw from Robinhood's trove of market data and research to find sectors where private capital was concentrating, then map those themes to public tickers you can actually buy.
It returned a set of tickers in a single pass along with a strategy for executing the trade, which Fatehpuria signed off on. That's the behavior the whole category is chasing. Take data that's painful to process by hand, or simply too much to sift through for a "retail" trader, and turn it into a position.