For years, the unspoken assumption behind most major platform updates has been that users would eventually adopt the platform's own AI tools, abandon whatever workflow they had built elsewhere, and centralise everything inside a single ecosystem.
Meta's new AI connectors suggest the company is ready to challenge that assumption.
Meta announced last week a set of connectors that allow brands and agencies to feed Meta ads data directly into external AI systems like Claude or ChatGPT, without requiring API setup, developer credentials, or any coding at all.
The connectors support enhanced campaign performance reporting, expanded ad management functionality, and the ability to generate product catalogs from existing business data, all activated through conversational prompts rather than technical configuration.
LinkedIn recently made a similar move, launching a tool that lets users test outputs from multiple AI models side by side, with industry-specific leaderboards tracking which tools perform best across different sectors. Interoperability is becoming a competitive advantage in its own right, and platforms that enable it are positioning themselves as infrastructure rather than destinations.
Clearly, Meta is trying to meet advertisers where they already work, marking a meaningful departure from the typical platform instinct to pull users deeper into a proprietary system.
Meta AI exists, and Meta would presumably prefer that more people use it, but the connectors signal an acknowledgment that preference for specific AI tools is a legitimate business consideration that it would rather accommodate than resist.
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