Mark Zuckerberg wants to build prediction markets into Meta’s empire. That much became clear when reports surfaced of the Meta CEO’s directive to his teams. But here’s the part that didn’t make the translated headline: while Zuckerberg positions Facebook and Instagram as potential launchpads for mass-market event forecasting, regulators across Asia are still debating whether the entire concept belongs in the same legal category as slot machines.
The divergence tells you everything about where prediction markets actually stand in 2024. In the United States, the conversation has shifted from “should these exist” to “who gets to regulate them.” In Seoul and Singapore and Hong Kong, the conversation hasn’t even started. Or rather, it started and ended in the same breath: gambling. Full stop.
The Zuckerberg Factor Changes the Calculus
When Zuckerberg’s prediction market ambitions first leaked, the immediate reaction in crypto circles was skepticism. Another Big Tech CEO dabbling in Web3 adjacent territory. Another potential vaporware announcement. But the Tiger Research report — and the industry chatter around it — suggests something more deliberate.
Meta doesn’t need prediction markets to survive. It needs them to evolve.
The company has spent years trying to figure out what comes after the attention economy it perfected. The metaverse bet hasn’t panned out the way Menlo Park hoped. AI integration is progressing but feels reactive rather than revolutionary. Prediction markets offer something different: a mechanism for user engagement that generates real-time probabilistic data, which is to say, something that can be monetized in ways that don’t depend entirely on advertising impressions.
Think about what Facebook already knows about its users. Now imagine layering in what they’re willing to bet on — not just what they claim to believe, but what they’ll stake money on. The behavioral data alone would be worth billions. And that’s before you get to the transaction fees.
But there’s a catch. Actually, several catches.
Asia’s Gambling Classification Problem
Tiger Research’s analysis cuts to the heart of what’s blocking prediction market adoption across Asian markets: the regulatory frameworks simply don’t have a category for this.
In South Korea, anything that looks like betting on future outcomes falls under gambling statutes that were written for horse racing and casino games. Japan’s relationship with gaming is notoriously complex — pachinko operates in a legal gray zone that locals understand intuitively but foreigners find baffling — yet even that country hasn’t figured out how to classify event contracts. The loyalty points loophole that some operators have explored remains exactly that: a loophole, not a legal framework.
Singapore has been particularly aggressive. The city-state’s regulators have flagged crypto-based prediction platforms as potential illegal gambling operations, regardless of how the platforms themselves characterize their services. Hong Kong has issued similar warnings. The message is clear: call it what you want, but if users are wagering money on uncertain future events, we’re going to treat it like gambling.
This creates an impossible position for platforms. Polymarket can’t legally operate in these jurisdictions. Kalshi’s CFTC-regulated model — which depends on American regulatory approval that took years to secure — has no obvious equivalent in Asia. Even if local exchanges wanted to offer similar products, they’d be flying blind on compliance.
And yet the demand clearly exists. Underground prediction markets have flourished in countries where the legal version remains prohibited. India’s prediction market craze operates in a perpetual legal twilight, with millions of users participating despite the theoretical risk of prosecution.
The American Exception Isn’t Really an Exception
Here’s where the Tiger Research framing gets interesting. The report positions American regulatory progress as the model that Asian countries should eventually follow. But that narrative oversimplifies what’s actually happening in the United States.
Kalshi won its federal court battle, yes. The CFTC’s attempt to block election contracts failed spectacularly. But the state-by-state assault on prediction markets has only intensified since that victory. Michigan, New York, Illinois — the attacks keep coming from different angles.
The American “exception” is really a patchwork of conflicting jurisdictions, with federal and state regulators fighting over territory while platforms navigate minefields that shift monthly. Calling this a regulatory framework gives it more credit than it deserves. It’s more like a regulatory experiment that nobody has fully committed to.
Which is, paradoxically, what makes it more advanced than Asia’s approach. At least in America, the argument is being had. Kalshi is firing constitutional artillery at Springfield. Polymarket is dealing with CFTC scrutiny that may or may not reshape its business model. These are real conflicts with real stakes, being resolved through actual legal processes.
In most Asian jurisdictions, prediction markets haven’t even reached the point of productive conflict. They’re simply classified out of existence.
What Meta’s Entry Could Actually Change
Here’s the scenario that should worry incumbent prediction platforms: Meta doesn’t need to win the regulatory battle. It just needs to change the terms of it.
If Zuckerberg builds prediction functionality into Instagram or Facebook — even in a limited form, even using play money or some gamified variant — it instantly becomes the largest prediction market on earth by user base. Three billion monthly active users makes Polymarket’s trading volume look like a rounding error.
And Meta has something Kalshi and Polymarket’s latest markets don’t: relationships with regulators in every major market on the planet. Facebook has been navigating content moderation disputes and data privacy requirements across dozens of jurisdictions for nearly two decades. The company knows which doors to knock on and which officials to call.
That doesn’t mean Meta will solve Asia’s gambling classification problem. But it does mean the company might be willing to invest in solving it — or at least in creating enough regulatory ambiguity to operate under until clearer rules emerge.
The play-money angle deserves particular attention. Several Asian jurisdictions allow fantasy sports and prediction games that don’t involve real currency payouts. If Meta launches prediction features that operate on virtual points redeemable for non-cash prizes — effectively reproducing the pachinko workaround in digital form — it could establish a foothold without triggering gambling statutes.
The Stakes Beyond Silicon Valley
For the existing prediction market industry, Zuckerberg’s interest is both validating and threatening. Validating because it confirms the thesis that event contracts represent a genuine market opportunity, not just a crypto niche. Threatening because Meta’s distribution advantages could render independent platforms irrelevant overnight.
Kalshi’s regulatory fight has always been about establishing prediction markets as a legitimate financial product category. The company bet its future on winning that classification battle in America, then using that victory as a template for global expansion. But if Meta can establish prediction features as entertainment products — games rather than financial instruments — it upends that entire strategy.
This is why the Asian market matters more than its current trading volume suggests. The classification fight happening in Seoul and Singapore and Tokyo will determine whether prediction markets evolve as financial infrastructure or entertainment features. And increasingly, those two paths lead to very different destinations.
Our regulation coverage has tracked this tension for months now. The common thread: every time prediction markets seem to have won a decisive victory, the ground shifts underneath them. Kalshi beats the CFTC and immediately faces state-level attacks. Polymarket hits a billion dollars in volume and immediately draws federal investigators.
The Tiger Research report captures a moment when the American model looks ascendant and the Asian model looks frozen. But the deeper story is about how unstable both positions actually are — and how completely Meta’s entry could scramble the entire competitive landscape.
What Comes Next
The most likely near-term scenario is continued fragmentation. American platforms will keep fighting regulatory battles on multiple fronts while Asian markets remain effectively closed. Meta will experiment cautiously, probably testing prediction features in smaller markets before any global rollout.
But the longer-term question is whether prediction markets can escape the gambling classification trap entirely. The most sophisticated argument for event contracts — that they generate valuable information by aggregating dispersed knowledge — remains largely academic. Regulators don’t read academic papers. They see people betting money on uncertain outcomes, and they reach for the gambling rulebook.
Zuckerberg’s bet is that scale changes everything. If three billion users are making predictions on Meta’s platforms, the classification debate becomes less about what prediction markets are and more about how to regulate what they’ve already become.
It’s a theory. Whether it works depends on factors nobody controls — least of all the platforms currently fighting for regulatory recognition in markets where that fight hasn’t even properly begun.