Stock Markets June 29, 2026 04:52 AM

Brokerages Roll Out Agentic AI Tools, Varying From Fully Automated to Human-in-the-Loop

Coinbase, eToro and Robinhood lead with agentic trading offerings while other firms opt for supervised or data-query agents

By Avery Klein
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COIN ETOR HOOD IBKR TW

Multiple brokerage firms have unveiled AI-driven trading tools in recent weeks, ranging from fully automated agents that can execute orders to semi-automated and read-only conversational systems. Adoption metrics and revenue figures cited by the companies show early traction, while others are taking a more cautious, human-supervised approach.

Brokerages Roll Out Agentic AI Tools, Varying From Fully Automated to Human-in-the-Loop
COIN ETOR HOOD IBKR TW
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ChatGPT Perplexity Claude Grok Gemini

Key Points

  • Multiple brokerage platforms have launched AI-powered trading tools with varying levels of automation, from fully autonomous agents to conversational and semi-automated offerings - impacting brokerages and trading platforms.
  • Adoption and usage metrics show early traction: Robinhood reported over 50,000 agentic accounts trading millions daily; eToro said its Tori agent facilitated over 500,000 trades and reached over one-third of club members; Coinbase reported revenue and agent earnings tied to its platforms - affecting crypto and retail trading activity.
  • Some firms restrict automation or limit asset coverage: Interactive Brokers requires manual trade approvals; The Trade Desk and Charles Schwab are building non-executing conversational agents - relevant to regulatory, operations and product rollout considerations in financial services.

Several broker-dealers and trading platforms have launched new AI-enabled trading products in recent weeks, with implementations that differ markedly in terms of automation and asset coverage, according to a Jefferies summary.

Earlier this month, Coinbase Global Inc (NASDAQ:COIN), eToro Group Ltd (NASDAQ:ETOR) and Robinhood Markets Inc (NASDAQ:HOOD) introduced fully automated "agentic" offerings. These agents are capable of making trade recommendations, constructing portfolios and executing transactions automatically within user-defined constraints. The platforms connect large language models such as Claude or GPT to their internal systems via Model Context Protocol servers, which provide a standardized interface between the LLMs and company infrastructure.

Robinhood’s product requires customers to open a dedicated agentic trading account and currently supports only equities, with other asset classes slated for future support. On June 18, Robinhood reported that more than 50,000 customers had opened agentic trading accounts in the first weeks after launch, and that those accounts were trading millions of dollars per day in equities and options.

eToro’s agent is designed to cover a broader range of instruments, supporting equities, commodities, crypto, exchange-traded funds and foreign exchange. The firm said on May 12 that its Tori agent had facilitated over 500,000 trades and had been used by more than one-third of its club members within the product’s first year.

Coinbase’s agent functionality currently supports spot crypto and derivatives, with plans to expand into additional asset classes. At its System Update event on June 16, Coinbase disclosed that agent platforms generated over $4 million in revenue through 40,000 agents on Virtuals, and more than $30 million in agent earnings on Banker.

Not all firms are permitting fully autonomous execution. Interactive Brokers Group Inc (NASDAQ:IBKR) introduced a semi-automated option in June that can research securities and supply near real-time market insights, but it requires manual approval for each trade under the firm’s "human in the middle" approach. Interactive Brokers’ offering currently supports equities and exchange-traded funds.

The Trade Desk Inc (NASDAQ:TW) and Charles Schwab Corp (NYSE:SCHW) are developing conversational agents that can retrieve market data and generate portfolio summaries, but they do not enable trade recommendations or execution at this stage. Schwab’s conversational tool is expected to launch in the second half of 2026 and will support equities, options, fixed income, mutual funds and ETFs. The Trade Desk’s agent currently supports U.S. credit, with plans to extend to global credit and government bonds.

Investor attention to AI within these companies has increased: Jefferies data show mentions of AI on earnings calls for the six firms nearly doubled in the first quarter of 2026 versus the fourth quarter of 2025.


Implications and context

The deployments demonstrate a spectrum of strategic choices by platforms: some prioritize automated execution and broad asset support, while others constrain capability to research and conversational functions or require human approval. Adoption metrics cited by the companies indicate early engagement, though the degree of automation, supported instruments and timelines for rollout vary materially across providers.

Risks

  • Limited asset coverage and staged rollouts create uncertainty about when and how full functionality will be available across platforms and instruments - affects investors in equities, ETFs, crypto and fixed income.
  • Operational limits on automation, such as Interactive Brokers’ manual approval requirement, constrain execution workflows and may slow adoption of agentic trading in certain client segments - impacts broker operations and active traders.
  • Product timelines vary and some tools are still in development (for example, Schwab’s tool is expected in the second half of 2026), introducing uncertainty around availability and feature parity between platforms - relevant to brokerage competition and product planning.

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