Google, Salesforce, and Meta Are Restricting AI Agent Access to Their Platforms

Major enterprise software platforms are moving to restrict how third-party AI agents access their systems, setting up a structural conflict between the growing AI automation ecosystem and the platforms that data and workflows run on. In rapid succession over recent months, Google, Salesforce, and Meta have each imposed limits that directly affect AI agent deployments.

According to PYMNTS, which reported on a piece in The Information, platforms including Slack, Workday, and LinkedIn have started restricting what customer-deployed agents can do inside their environments, citing data privacy, system stability, and competitive concerns.

Google Cuts Off OpenClaw Users From Antigravity

The most visible enforcement action came from Google. VentureBeat reported that Google restricted access to its Antigravity coding platform for users who had connected the open-source AI agent OpenClaw through standard OAuth integrations. Those users had been routing a disproportionate volume of Gemini token requests through the connection, degrading performance for other Antigravity customers.

Google DeepMind engineer Varun Mohan said on X that the company saw “a massive increase in malicious usage of the Antigravity backend” and needed to “quickly shut off access to these users that are not using the product as intended.” He said Google is working on a path for affected users to return, but acknowledged limited capacity.

The timing carries competitive weight. VentureBeat noted that OpenClaw creator Peter Steinberger joined OpenAI in February to lead its “next generation of personal agents.” While OpenClaw remains open-source, cutting off its access to Antigravity effectively severs a pipeline allowing an OpenAI-adjacent tool to leverage Google’s Gemini models.

OpenClaw creator Steinberger responded by announcing that OpenClaw will remove Google support.

Salesforce Locks Down Slack Data

Salesforce tightened third-party access to Slack data in mid-2025. According to Reuters (as cited by PYMNTS), external applications were rate-limited and blocked from storing historical messages long-term. Enterprise tools built on that access, including internal copilots, knowledge search products, and workflow automation systems, lost the data pipelines they depended on.

Meta Bans AI Chatbots From WhatsApp

Meta updated WhatsApp’s business API terms in October 2025 to ban general-purpose AI chatbots from the platform entirely. The policy took effect in January 2026 and shut out assistants from OpenAI, Perplexity, and others. Meta framed the decision as a design issue: the business messaging API was built for company-to-customer conversations, not as a distribution channel for third-party AI products, and the chatbot use cases placed load on its systems that fell outside the intended design.

TechCrunch reported that the policy effectively makes Meta AI the only general-purpose assistant on a platform with over one billion monthly active users. EU, Italian, and Brazilian regulators have opened antitrust probes in response.

The JPMorgan Precedent

The dynamic has a direct parallel in banking. According to CNBC, JPMorgan processed 1.89 billion data requests in a single month from fintech aggregators, with internal documentation showing just 6% of those API calls tied to active customer transactions. JPMorgan proposed fee schedules that could cost aggregators up to $300 million annually and attributed $50 million in annual fraud losses to aggregator-initiated transactions. Plaid ultimately agreed to pay for access, as reported by PYMNTS.

For AI agent deployments that rely on platform APIs at scale, the precedent is direct: data pipelines built on open access can be repriced or cut overnight.

What Comes Next

The pattern across these platforms points toward a bifurcated access model: one set of terms for human users, another for AI agents. An autonomous agent querying Slack data thousands of times per hour generates fundamentally different infrastructure costs than an employee running a search.

PYMNTS noted that platforms are unlikely to revoke agent access permanently since agents drive engagement and justify the value of platform data. But who writes the terms on which that access continues is now the central fight. For enterprises building workflows that depend on AI agents operating across third-party platforms, every integration is now a dependency that can be throttled, repriced, or shut down at the platform’s discretion.