Meta provided its clearest look yet at its AI plan, with a new AI model called Muse Spark that powers Meta’s AI app and will be integrated into Instagram, WhatsApp, Facebook and its AI Ray-Bans in the coming weeks, the company said in a press release. The model is the first AI model from Meta’s superintelligence lab. Meta said Muse Spark is “purpose-built” for its products and is designed to streamline tasks like shopping and trip planning. The rollout is another reminder of how a corporate giant keeps folding more of daily life into its own machinery. Meta is not just shipping a model; it is wiring the model into the platforms where people already live, scroll, message and shop, with the company deciding what counts as useful, what gets surfaced, and what gets fed back into its systems. **Who Has the Power** The launch came as Meta’s shares rose more than 9% shortly after the announcement on Wednesday and closed 6% higher. The company has poured billions into AI with little detail about how the spending will affect its bottom line. Meta’s AI app is shown on a smartphone in a photo dated March 7, 2026. The image is a neat little snapshot of the corporate future: a phone in hand, a platform in control, and a product designed to make more of life legible to the company. Last June, Meta invested $14.3 billion in data labeling startup Scale AI and hired its former CEO, Alexandr Wang, as its chief AI officer. The report also said Meta gobbled up rising AI startups Manus and Moltbook. OpenAI CEO Sam Altman claimed last year that Meta CEO Mark Zuckerberg offered $100 million signing bonuses to lure talent away from the ChatGPT maker. The talent war reads like elite raiding, with the biggest firms hoarding expertise the way landlords hoard property. Meta spent more than $72 billion on capital expenditures, or costs related to AI infrastructure, in 2025. That is the scale of the apparatus: enormous sums directed upward into infrastructure, while the company offers the public polished language about innovation and convenience. **What the Platform Wants From People** Meta outlined use cases for Muse Spark similar to those offered by platforms like ChatGPT and Gemini, including creating a game with a prompt, answering health questions and analyzing a photo of snacks on a shelf to provide nutritional information. Meta said the app will reference content from the company’s social media apps when answering questions related to shopping, trending topics and locations, and that it will draw on public posts for certain answers to provide “context from your people, right where you need it.” The company also plans to eventually incorporate Instagram Reels, photos and posts directly into answers. That is the familiar bargain of platform power: more convenience in exchange for more extraction. The company says it will use public posts and its own social media content to answer questions, turning the social graph into raw material for machine-generated responses. The language of “context” and “your people” dresses up a system that keeps tightening its grip on the information people produce. **What They’re Calling Progress** Meta positioned the app in the past both as a destination for AI-generated videos and a hub for its smart glasses. Some users accidentally posted public queries they believed to be private last year. The company faces increasing competition from OpenAI, Google and Apple in the coming months. OpenAI has been aggressively expanding, Google is expected to release its Android-powered spectacles this year and may make more announcements next month during its developers conference, and Apple’s revamped Siri is expected to launch this year following delays. Zuckerberg did not offer specifics when asked about the return on AI investments during a January earnings call, saying his response “may be somewhat unfulfilling.” He added that the company is in “this interesting period where we’ve been rebuilding our AI effort, and we’re six months into that, and I’m happy with how it’s going.” The answer is classic executive fog: billions spent, privacy concerns lingering, and the people at the top asking for patience while the machine gets bigger. Meta needs a win, the report said, because the metaverse did not upend the internet like it expected, its smart glasses have been at the center of privacy concerns, and OpenAI’s ChatGPT caught the tech industry, including Meta, largely by surprise over the last three years. The launch of a model made specifically for its products for the first time suggests Meta is building toward a vision, the report said. For everyone else, that vision looks a lot like deeper corporate capture of communication, search, and the everyday routines people are forced to route through the platform empire.