# Inside Meta's AI Reset: A $14.3 Billion Bet on Alexandr Wang and a Race to Ship Muse > After Llama 4 landed with a thud, Mark Zuckerberg rebuilt Meta's AI effort around Scale AI cofounder Alexandr Wang, a deal that has since produced a new Chief AI Officer, a reported $130 billion-plus spending plan, and a string of Muse app releases aimed at catching up to rivals. - Source: South East Money - Canonical URL: https://southeastmoney.id/article/inside-meta-s-ai-reset-a-14-3-billion-bet-on-alexandr-wang-and-a-race-to-ship-muse - Author: Tim - Section: Tech - Published: 2026-10-17T13:48:34.539Z - Updated: 2026-10-17T13:48:34.539Z - Tags: Meta, Alexandr Wang, Mark Zuckerberg, Meta Superintelligence Labs, Scale AI, Muse, AI --- Meta's current AI push traces back to a single phone call. In April 2025, with Llama 4's reception falling flat, Mark Zuckerberg reached out to Alexandr Wang, the 29-year-old MIT dropout who cofounded Scale AI, for advice on fixing the company's AI effort. That first conversation ran 44 minutes. It eventually led to Meta taking a $14.3 billion stake for roughly 49% of Scale AI and installing Wang as Meta's Chief AI Officer, running a newly created unit called Meta Superintelligence Labs. ## A small team, a very large budget The scale of the financial commitment behind this reset is striking next to the size of the team actually doing the work. Meta Superintelligence Labs' core research group numbers somewhere between 100 and 200 people, a sliver of Meta's roughly 75,000-person workforce. Yet Meta's 2026 capital expenditure guidance sits between $130 billion and $145 billion, up sharply from about $72.2 billion in 2025, and Zuckerberg has floated an even larger range, $100 billion to $200 billion, as a rough sense of where total spending tied to this bet could land. By the end of 2025, those numbers were serious enough that Meta's finance chief, Susan Li, flew to Hawaii to walk through the financial stakes directly. ## Paying up for talent Some of that spending has gone into poaching talent rather than building products. Meta has reportedly dangled compensation packages as large as $100 million to pull researchers away from OpenAI, a sign of just how aggressively the company is trying to compress the time it would otherwise take to rebuild AI credibility organically. Wang himself, hired more for his track record building Scale AI's data-labeling business than for prior frontier-model research, is the clearest symbol of that willingness to buy capability rather than wait for it. ## Muse, Wang's public test case The most visible output so far is Muse, a personal AI agent app. Meta shipped an earlier version, Muse Spark, in April 2026, before the full U.S. launch of the Muse app on September 8, which drew roughly 2.5 million downloads in its first two weeks, a respectable if not category-defining debut. Wang made a public appearance at Meta's Connect event on September 23 to talk up the effort, and in October the company released Muse Wonder, pitched as a frontier-class model meant to close the capability gap with rivals that Llama 4 had widened. ## What success would actually look like None of this guarantees Meta has fixed the underlying problem that prompted Zuckerberg's call to Wang in the first place. A download count in the low millions is a start, not proof that Muse can hold users the way established AI assistants have, and a nine-figure spending plan only pays off if the models it funds end up genuinely competitive rather than merely expensive. For now, Meta Superintelligence Labs is the clearest evidence yet that Zuckerberg is willing to restructure leadership, spending, and strategy around a single hire if that is what it takes to stay in the AI race. --- Originally published by South East Money. Free to cite with attribution and a link to https://southeastmoney.id/article/inside-meta-s-ai-reset-a-14-3-billion-bet-on-alexandr-wang-and-a-race-to-ship-muse.