AI Trading Agents Trigger Their First Big Washington Warning

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Claude or Gemini? OpenAI or Anthropic? GPT-7 before year-end or not? If you read tech newsletters, you've already formed opinions on all of it.

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Agentforce Commerce Turns Shopping Into an Agent-Led Experience

Salesforce released its biggest Agentforce Commerce update in five years, bringing Shopper Agent, Buyer Agent, and Merchant Agent into general availability. The release connects B2C, B2B, point of sale, order management, shoppers, merchants, and AI apps on one commerce platform. Native integration with ChatGPT is live, while Google Search, AI Mode, and Gemini app integrations are planned for this summer.

Strategically, Salesforce is positioning commerce agents as the new interface layer between consumers, merchants, inventory, service, and checkout. The move pushes AI agents from support-side automation into revenue-driving customer journeys.

Samsara Builds Agent Studio for Physical Operations

Samsara launched new agentic tools, including Agent Studio, for operations teams managing fleets, equipment, worksites, vendors, and frontline workflows. The company says the system is built on data from millions of connected assets and cited 25 trillion data points captured across the Samsara Network in 2025. Customers can use more than 15 prebuilt templates or build custom agents without IT or developer support.

Example use cases include driver assistance, paperwork automation, vendor communication, and safety or maintenance workflows. This is a notable agent launch because it targets the physical economy, not just office knowledge work.

Gong Launches Revenue Harness for Governed Sales Agents

Gong announced Mission Big Dipper and introduced Gong Revenue Harness, an agentic execution layer for its Revenue AI Operating System. The new layer is designed to govern, orchestrate, and connect AI agents across the revenue cycle using customer conversation context, permissions, audit trails, and human oversight. Gong also introduced Custom Agents, allowing RevOps leaders and sales managers to define workflows in natural language without engineering help.

These agents can monitor deal risk, route work, and trigger revenue actions while inheriting existing Gong security controls. The strategic angle is clear: Gong wants agents to move from sales insights to sales execution.

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Deloitte Embeds a Network of Audit Agents Into Omnia

Deloitte launched a unified agentic intelligence network inside Deloitte Omnia, its global audit and assurance platform. The system brings existing and new AI agents together so they can coordinate and execute entire audit workflows. Deloitte says the network will support nearly 85,000 Audit & Assurance professionals globally with risk analysis, evidence review, documentation drafting, and context-aware decision support.

The platform also includes tutor agents that provide on-demand micro-training inside audit workflows. This signals that agentic AI is moving deeper into regulated professional services where explainability, review, and human judgment remain central.

Seltz Raises $12.5M to Rebuild Search for AI Agents

Seltz raised $12.5 million in seed funding to build search infrastructure designed for AI agents and chatbots. The round was led by Speedinvest and B Capital, with participation from Italian Founders Fund, United Ventures, and Future Back Ventures. The company argues that traditional search was built for humans typing short queries and scanning links, while agents send longer, more precise, often parallel research queries.

Seltz is building its own crawler, index, retrieval models, and ranking stack instead of wrapping an existing search API. This funding round points to a new infrastructure layer: search engines optimized for machine users, not human browsers.

Congress Presses the SEC on Agentic AI Trading

Representatives Bill Foster and Brad Sherman led House Financial Services Committee members in asking the SEC for clarity on agentic AI trading. The letter asks what oversight, guidance, and investor protections exist as brokerage firms begin allowing AI agents to make autonomous trades for retail investors. It also asks about legal responsibility for broker-dealers, AI developers, and the AI agents themselves.

The lawmakers warned that agentic trading raises issues around investor protection, market integrity, conflicts of interest, and accountability. This is an early sign that agent regulation may move from model safety debates into specific high-stakes workflows like retail trading.

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