Meta weighed acquiring Kalshi before building its own prediction-market app, raising stakes for its ad-driven business

Meta’s interest in prediction markets, a concept that lets people wager on future events, is moving from the fringes of financial tech toward the center of social-media products. In commentary referenced by 24/7 Wall St., the podcast TBPN discussed a report from NPR’s Bobby Allen that Meta considered acquiring Kalshi before deciding to build its own prediction-market app, raising the possibility that the move could help bring a new revenue stream but also risk “poisoning” the core economics of the business.

Prediction markets work by allowing users to place real money on outcomes, such as who wins an election, the result of a sports or entertainment event, or whether a central bank will cut interest rates. If the predicted outcome occurs, users are paid. For Meta, the pitch is straightforward: add a wagering layer to platforms where people already spend time, potentially turning engagement into transactions.

The details matter, according to the discussion. Kalshi is described as a CFTC-regulated exchange that runs real-money contracts. A second commonly cited option in the prediction-market ecosystem is Manifold, which the commentary frames as operating “play-money” and social reputation mechanics rather than wagering directly. The fact that Meta allegedly looked at Kalshi, rather than Manifold, is portrayed as a sign that Meta is aiming for financially incentivized infrastructure that could make betting a direct product feature.

The size of Meta’s distribution could be both an advantage and a problem. 24/7 Wall St. characterized the integration as a way to bring prediction markets into Instagram and Facebook, apps used by billions of people daily. The same scale, however, makes it harder to contain reputational risk, regulatory scrutiny, and user behavior effects. The commentary’s central concern is that converting mainstream social attention into wagering outcomes could harm advertiser comfort and the user experience that underpins Meta’s ad system.

Meta’s existing revenue engine is already dominant. The 24/7 Wall St. post cites roughly 98% of Meta’s revenue as coming from advertising and notes that Meta booked $55.024 billion in a single quarter for that business line. With that backdrop, the “poison golden egg” metaphor is less about whether prediction markets can attract users and more about whether they could damage the conditions that keep advertisers and mainstream audiences engaged with Meta’s platforms.

The report also highlights that acquisition targets within prediction markets may resist being absorbed by social-media giants. 24/7 Wall St. says Kalshi’s founder, Tarek, has recently criticized Instagram and called it “brain rot,” and that this posture could be awkward for any would-be acquirer. While that does not by itself determine the business outcome, it underscores how prediction-market founders may view Meta-style distribution as a threat to the community and norms that emerged around their platforms.

As of what is publicly described in the cited post, Meta has not provided details about the form of any prediction-market product, its regulatory approach, user eligibility, or whether its plan would resemble a direct betting experience or a more limited “prediction” workflow. The commentary also does not specify the scope, timeline, or commercial terms of any Kalshi discussions, and it does not provide an official statement from Meta in the material summarized here. Those gaps mean observers will need additional, primary disclosures to assess whether Meta’s effort is likely to create incremental demand or trigger friction with regulators, users, and advertisers.

Looking ahead, the key question is not simply whether Meta can launch a prediction-market feature, but whether it can do so without undermining the advertising dynamics and brand perceptions that drive its core cash flows. Watch for more concrete filings or product updates, along with indicates from regulators and policy observers about how real-money contracting would be handled on large-scale social platforms. Even if Meta’s “golden egg” is new engagement, the “poison” risk would likely show up first in compliance decisions, advertiser sentiment, or user churn.