Meta Wants AI to Become Every Employee’s Coworker

Meta is trying every angle it has to make its artificial intelligence (AI) bet pay off. It has spent more than $100 billion building the infrastructure. It has restructured its research division around what CEO Mark Zuckerberg calls “personal superintelligence.” It has pushed AI into ad targeting, into WhatsApp business tools, into Ray-Ban smart glasses. This month, it pushed AI into something it had not fully attempted before: the workday.

Meta AI’s latest upgrade, powered by a new model called Muse Spark 1.1, lets the assistant connect to a user’s email and calendar, conduct web research, generate presentation slides and complete multi-step tasks with less repeated prompting, Meta said in a Friday (July 24) announcement. “Meta AI is starting to take action on your behalf,” the company wrote, describing a shift from a chatbot that answers questions to an assistant that follows through on requests over time. The features are rolling out in select markets through the Meta AI app and meta.ai, with WhatsApp integration expected in the coming weeks.

Connecting Email and Calendar Puts Meta AI in Enterprise Territory

The specific capabilities Meta highlighted—connecting to email and calendar, producing slide decks, running multi-step research and automating recurring tasks—are the core feature set of enterprise productivity software, the exact category Microsoft has built Copilot around and Google has built into Workspace with Gemini. Meta built its base with lifestyle use cases: a mood board assembled from Facebook Marketplace listings for a kitchen renovation, or a week-by-week half-marathon training schedule, absolutegeeks.com reported. But connecting email and calendar access, producing presentations and running structured research are the identical building blocks of a workplace copilot, wrapped in a consumer interface Meta already has installed on billions of phones.

That distribution is both Meta’s real advantage and its real challenge. Meta AI already reaches users across Facebook, Instagram, WhatsApp and Messenger, giving it a scale no enterprise AI vendor can match on day one. But reaching a user casually is different from being trusted with a work email inbox.

ChatGPT converts 83.1% of paid subscribers who have workplace access to their AI platform of choice, according to Recon Analytics data on the U.S. enterprise AI market. Microsoft Copilot converts only 35.8%, and its market share among paid AI subscribers fell from 18.8% in July 2025 to 11.5% in January, a 39% contraction, even with Copilot bundled directly into Windows and Microsoft 365.

Investors Want Proof the AI Spending Is Paying Off

Meta is set to report second-quarter results on Wednesday (July 29), and the pattern from recent quarters has been consistent: heavier spending, bigger promises and a request for more patience. In its first-quarter report, Meta raised its full-year capital expenditure guidance to $125 billion to $145 billion, up from a prior range of $115 billion to $135 billion, citing higher memory prices and additional data center capacity, PYMNTS reported. The company said at the time it has consistently underestimated its own compute needs

Muse Spark 1.1 gives Meta a new answer heading into that call: evidence the spending is producing capability beyond better ad targeting. An assistant that manages calendars, drafts presentations and completes multi-step work is a second growth story, one that could eventually generate revenue the way Microsoft charges for Copilot seats rather than one that only shows up as an efficiency gain inside the existing ad business.