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Meta Wants Prediction Markets: A Bold Pivot for Crypto Era

Meta is pursuing prediction markets, signaling a major shift away from its metaverse push. The move could reshape its crypto strategy as it weighs regulatory risk and potential revenue.

Meta’s Move Into Prediction Markets

Meta Platforms is quietly exploring a bold new line of business: prediction markets. According to informed sources, a small internal team has been prototyping an app, code-named Arena, that would let users forecast real-world outcomes—ranging from politics to sports—using a point-based system. The project is early, but the intent is clear: Meta wants a slice of a thriving, real-time betting market that already has a broad user base.

In a period of rapid strategic recalibration for the tech giant, this pivot would tilt away from the company’s decade-long quest to build the metaverse toward a more grounded, regulated form of digital commerce. The timing matters: Meta has spent years trying to recast itself after renaming from FACEBOOK in 2021, with the hope that prediction markets could offer a clearer path to revenue and user engagement in a world of tight profit margins.

The Metaverse Bet That Never Fully Paid Off

Meta’s metaverse ambitions have faced a harsh financial reality. Reality Labs, the unit charged with delivering immersive experiences, has posted multi-year losses that have stretched the balance sheet into the billions. A look at the numbers shows the strain: $17.7 billion in losses for 2024 and $19.2 billion in 2025, pushing cumulative Reality Labs losses toward the $90 billion mark. The company has signaled that 2026 losses could stay near 2025 levels as it doubles down on core businesses while keeping the metaverse on a long-term trajectory.

Beyond the balance sheet, Meta has struggled to translate its metaverse bets into active, sizable communities. Horizon Worlds had muted user growth compared with initial targets, and the company signaled a phased shift away from VR-first experiences in favor of broader, more accessible products. This context helps explain the appeal of a prediction-market approach: a familiar, regulated model with demonstrable demand and a wide audience outside the VR ecosystem.

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The Prediction Markets Landscape Today

Prediction markets are not a new frontier in the tech world. Platforms such as Kalshi and Polymarket have already built substantial trading communities, contributing to a combined monthly volume that has climbed to roughly $24 billion in 2026. Industry observers estimate that annual prediction-market volume could push past the $130 billion threshold this year, a scale that draws attention from incumbents across finance and tech.

Traditional brokerage platforms have joined the trend as well. In 2025, Robinhood launched a dedicated prediction-markets hub, while Interactive Brokers integrated event contracts into its platform. The mainstreaming of these markets is a clear signal that Meta’s potential pivot would be entering a well-populated, regulated space rather than inventing a new category from scratch.

What This Means for Meta and Investors

For investors, the prospect of Meta entering prediction markets underscores a broader strategy: monetize user activity through regulated, data-driven products that can scale. If Meta wants to make meta wants prediction markets a meaningful revenue line, it would be competing in a sector with proven demand and a robust user base, even as it faces regulatory scrutiny and the need to safeguard consumer protections.

Market observers note that this pivot could be a watershed moment for Meta’s risk/return profile. A carefully executed entry could diversify revenue beyond ads and hardware, while missteps could amplify scrutiny around governance, fairness, and compliance. 'This could be the smartest pivot Meta has attempted, or the most familiar kind of expensive mistake,' one market analyst said on background. The comment captures the tension between opportunity and risk in a sector subjected to evolving rules.

  • Reality Labs losses: 2024 = $17.7 billion; 2025 = $19.2 billion; cumulative losses near $90 billion.
  • Projected 2026 losses: expected to stay in the high teens to low-twenties billions range, per company guidance.
  • Prediction-market volume: Kalshi and Polymarket together ~ $24 billion monthly in 2026.
  • Annual prediction-market volume: projected to exceed $130 billion in 2026.
  • Industry outlook: Bernstein estimated in April that the sector could reach $1 trillion in annual volume as participation deepens and products mature.

Any push into prediction markets places Meta in a tighter regulatory spotlight. In the United States, prediction markets must navigate securities and anti-gambling laws, while global operators contend with varying data-privacy rules and anti-corruption standards. The regulatory environment is a major risk factor, potentially accelerating or decelerating Meta’s timeline depending on how policymakers respond to high-profile launches.

On the product side, the use of points, tokens, or other digital representations raises questions about consumer protection, liquidity, and fair access. Meta would likely need to build robust safeguards, transparent governance, and clear disclosures to win trust among users and regulators alike.

At this stage, Arena remains an internal concept rather than a public product. People close to the matter say Meta would start with a controlled, permissioned experiment before considering broader rollout. The timeline is highly contingent on regulatory signoffs, product safety milestones, and user acquisition rates. Investors will be watching for any formal disclosures about pilots, partnerships, or potential launches in 2026 or 2027.

The idea that Meta wants prediction markets marks a notable strategic rethink for a company trying to redefine its identity after the metaverse push. If Meta can navigate the regulatory maze and translate a prediction-market product into sticky user engagement and strong monetization, the move could validate a new era of growth for a company currently juggling heavy losses in Reality Labs with a tech ecosystem that remains under intense scrutiny.

As the market awaits more clarity, meta wants prediction markets is shaping up as one of 2026’s defining tests for how big tech can participate in regulated, high-demand online markets without losing sight of core governance and consumer protections.

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