Meta Explores Prediction Markets App Amid Gambling Criticism

MENLO PARK, Calif.: Meta is reportedly developing a standalone prediction markets app as scrutiny grows around event-contract platforms.

The project would move the owner of Facebook, Instagram and WhatsApp closer to a fast-growing sector that critics say can blur the line between forecasting, trading and gambling.

The app, internally referred to as Arena, is being developed by a small team at Meta and is expected to operate separately from Facebook, Instagram and WhatsApp. Early reporting on Meta’s prediction markets project indicates the product may initially use a points-based system instead of real-money betting.

Meta Looks at Prediction Market Growth

Prediction markets allow users to take positions on the outcome of future events, ranging from elections and policy decisions to sports, entertainment and economic data. Platforms such as Kalshi and Polymarket have pushed the model into mainstream debate by presenting event contracts as financial or forecasting products rather than conventional gambling.

Meta’s reported interest comes as prediction markets attract more users, more trading volume and more attention from regulators. Arena would give Meta a way to test the format while using its large consumer audience to build early adoption if the app moves beyond internal development.

Meta is not the only major company testing the category. Schwab has also moved toward prediction market products, showing how event-based contracts are spreading beyond specialist platforms.

The company is expected to keep Arena separate from Facebook, Instagram and WhatsApp, but its existing user base could still give the app a major distribution advantage. That possibility is one reason the project has drawn attention from gambling analysts and public-policy observers.

Gambling Concerns Follow Event Contracts

The biggest question is whether prediction markets should be viewed as financial products, information markets or gambling-style services. Operators often argue that event contracts produce useful probability signals and fall within financial-market regulation. Critics argue that the user experience can look and feel like betting, especially when contracts involve sports, politics or entertainment.

The debate has already made prediction markets one of gambling’s most contested new areas, especially as products move beyond specialist platforms and toward mainstream consumer apps.

The concern is sharper for Meta because its platforms already shape how users discover, discuss and react to public events. If prediction markets were connected to highly viral social topics, critics could argue that algorithmic attention and wager-style engagement are being pushed too close together.

Reports indicate Meta may start with points rather than cash, which would reduce immediate real-money gambling concerns. However, the company has not ruled out possible real-money betting later, leaving open a larger regulatory and ethical debate if the product moves toward financial stakes.

Regulators Watch Prediction Markets Closely

Prediction markets are already facing pressure across the United States. State gambling regulators have challenged sports-related event contracts, while federal oversight questions continue around the role of the Commodity Futures Trading Commission.

Those disputes matter for Meta because a points-based product could be framed as a social forecasting game, while a cash-based version would face much greater scrutiny. Contracts linked to sports, elections or sensitive public events could raise questions around manipulation, insider information and consumer protection.

Meta has not publicly confirmed a launch date for Arena. The reported project may remain experimental, but it shows how quickly prediction markets have moved from niche trading platforms into the strategy discussions of major technology companies.

If Arena reaches consumers, Meta would be entering a sector where growth and criticism are rising together. The company’s challenge would be to prove that prediction markets can be offered as a controlled forecasting product without encouraging gambling-like behavior across its wider digital ecosystem.

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