Brokerage Bifurcation: Active vs Long-Term

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Jon Ma, CEO of Artemis, on building 24/7 AI agents for trading & investing

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these brokerages will eventually be forced to choose who they serve.
Analyzed 9 sources

Brokerages are converging on the same asset menu, so the real battleground shifts to investor workflow and identity. If every major platform offers stocks, crypto, options, and newer products, then the winning difference is not access, it is whether the app is built for constant trading or for building conviction and holding for years. Robinhood is leaning into real time social trading and agentic execution, while Schwab, Fidelity, and Interactive Brokers emphasize research, analysis, and portfolio decision support.

  • Robinhood is explicitly packaging itself around active behavior. Its Social product centers on live verified trades, trader feeds, and in app trading across stocks, options, futures, crypto, and prediction markets. Robinhood has also launched agentic trading, which pushes it further toward being the home screen for people who want to act constantly.
  • The legacy brokers are adding AI, but around research more than social momentum. Schwab markets equity ratings, market commentary, and research tools. Fidelity highlights independent research for different investing styles and long term investing education. Interactive Brokers positions MCP connected AI as a way to research investments, analyze a portfolio, and generate trade instructions.
  • This split matters because zero commission trading erased a lot of plain vanilla brokerage differentiation. In adjacent private market infrastructure, broker partners already share economics on access and execution, which shows how easily execution can become a lower value layer unless the platform owns the user relationship through research, community, or workflow.

The next phase is a cleaner bifurcation. Trading platforms will bundle charts, feeds, alerts, and faster execution loops. Long term platforms will bundle research, model building, portfolio monitoring, and agents that turn a thesis into staged buys and sells. As AI handles more of the clicks, brokerages that do not pick one of those two jobs clearly will be squeezed into commodity execution.