The Signal

Senate Democrats and Republicans just put “insider trading” at the center of the prediction-markets regulatory storyline—explicitly targeting who can trade and what must be disclosed, rather than trying (yet) to shut the platforms down. Bloomberg reports a bipartisan Senate bill would require lawmakers and government employees to disclose prediction-market bets, aiming to prevent officials from profiting off nonpublic information. Source: Bloomberg

At the same time, California is moving faster than Congress: Gov. Gavin Newsom issued an executive order barring gubernatorial appointees from using nonpublic information to profit on prediction markets. Sources: WSJ, Bloomberg, Politico

Net: this is the first clear sign Washington may regulate prediction markets via a “market integrity + conflicts” wrapper (surveillance, reporting, restricted persons), not just the “gambling” wrapper—an approach that incidentally favors regulated venues building compliance rails (Kalshi) while forcing offshore/onchain platforms to confront political pressure without obvious enforcement hooks.

The Mechanism

• This is a pivot from “ban the product” to “police the participants.” Disclosure/recusal regimes don’t require Congress to agree on whether event contracts are gambling; they only require agreement that public officials shouldn’t trade on privileged information.

• It drags prediction markets into the same optics bucket as securities/commodities insider trading—without the same tooling. Public equities have mature issuer disclosure, insider lists, broker surveillance, and enforcement pathways. Prediction markets—especially offshore—don’t have a standardized equivalent, which sets up pressure for platform-level controls.

• Expect platforms to overbuild restricted-person screens. Kalshi already telegraphed this direction with its “automated screening” posture (presented as anti-insider-trading/anti-manipulation). If Congress and states converge on “government insiders” as the first restricted cohort, it becomes a template for other cohorts (agency contractors, vendors, campaign staff).

• Compliance becomes a competitive differentiator, not just a cost. Kalshi’s regulated stack (CFTC framing, KYC, surveillance, now margin via an FCM affiliate) can be marketed as “institutional-grade integrity.” Polymarket’s ICE backing helps on legitimacy, but it doesn’t automatically solve U.S. policy concerns around who’s trading what—especially if lawmakers want auditability.

• Second-order impact: liquidity segmentation. If U.S. officials and adjacent insiders get screened out on regulated venues, the “hot money” may migrate to offshore/onchain venues that don’t comply—raising manipulation/optics risk there, and prompting more calls to regulate access points (front-ends, influencers, payment rails).

• This collides with the state-jurisdiction fight we covered last edition. States are attacking the distribution layer (Kalshi in particular) under gambling theories; Congress is now exploring a conflicts layer. Platforms could end up simultaneously building (a) geo-fencing and (b) restricted-person enforcement—both frictional, both liquidity-negative.

The Landscape

Market Position. The industry is splitting into two strategic lanes: (1) regulated-onshore microstructure (Kalshi pushing deeper exchange plumbing—margin, surveillance, institutional workflows) and (2) liquidity + distribution (Polymarket scaling volume and mainstream relevance, now with ICE as a credibility engine). Insider-trading rhetoric is materially better for the category than broad prohibitions because it implies prediction markets can be made governable—but it also makes “trust and controls” a first-order product feature.

Regulatory Environment. The regulatory map is becoming multi-layered: federal lawmakers are targeting conflicts and disclosure; governors/states are experimenting with internal ethics bans (California) and external gambling enforcement (e.g., Washington’s lawsuit against Kalshi). Semafor also flags a growing argument among some Democrats to affirm state authority to rein in platforms—i.e., the preemption fight is not cooling off; it’s getting new political justifications. Source: Semafor

Key Data

• Policy throughput is accelerating: a bipartisan Senate bill to require disclosure of prediction-market bets by lawmakers/government employees. Source: Bloomberg
• State ethics action is already live: California executive order restricting gubernatorial appointees from insider profiteering on prediction markets. Sources: WSJ, Bloomberg
• Integrity framing is now mainstreamed: NBC reports Senate Democrats are pressing the administration to tackle insider trading in “booming prediction markets,” reinforcing that this is not staying a niche Hill concern. Source: NBC News
• Public narrative is hardening: watchdog/opinion coverage is increasingly using prediction markets as a corruption/conflicts case study—fuel for broader restrictions if platforms can’t demonstrate controls. Source: POGO

What’s Next

Watch whether platforms proactively create a standard “restricted persons + disclosures” regime (government employees, contractors, campaign staff) before Congress forces it—because the first platform to operationalize credible enforcement (KYC linkage, employer attestation, audit logs, and rapid investigation workflows) can turn “insider trading” scrutiny into an enterprise wedge. If they don’t, this storyline likely merges with the ongoing sports/event-contract backlash into a simpler political conclusion: prediction markets are unpoliceable at scale—the predicate for bans rather than guardrails.

Predict This covers the evolution of prediction markets — platforms, regulation, volume, and methodology. For questions or tips: reply to this email.

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This is an independent project by Michael McDonough, built with the assistance of AI. Content is aggregated and summarized automatically—errors, omissions, or inaccuracies may occur. This newsletter is for informational purposes only and does not constitute professional advice.