SafeBets Founder Alex Konanykhin on No-Wager Prediction Markets

Self-service betting terminal on a casino concourse displays a prediction market confirmation screen under bright daylight.
SafeBets Founder Alex Konanykhin on No-Wager Prediction Markets 2

SafeBets Founder Alex Konanykhin on No-Wager Predictions and the Regulatory Fork in the Road

Prediction markets keep grabbing headlines. Kalshi and Polymarket hold multi-billion valuations while regulators on both sides of the Atlantic debate whether these platforms run events contracts or unlicensed gambling.

SafeBets has now entered the conversation with a different model. The newcomer offers prediction markets that require no deposits, no stakes, and no risk of financial loss. Founder and Chief Executive Officer Alex Konanykhin says the approach reframes what regulators and operators have long treated as inseparable from wagering.

The Core Mechanic That Removes Financial Risk

SafeBets scores every forecast against actual market outcomes. Users build track records. The most accurate predictors rise through rankings and earn rewards funded by the company’s Collective Intelligence trading operation.

Alex Konanykhin puts it directly. “People assume risk is what makes prediction compelling. It is not. What makes it compelling is the desire to be right, and to be recognized for it.” The engagement comes from competition, rankings, and proof that one reads events better than the next person.

Rewards stay real without drawing from user losses. The intensity remains. The difference is that participants risk judgment, not savings.

After eighteen years across iGaming and sportsbook operations I see the appeal on the supplier side. Operators price in regulatory overhead and user acquisition costs tied to financial risk. Remove the money at stake and many of those friction points disappear.

Where Regulation Gets It Right and Where It Misses

Alex Konanykhin credits regulators with the right instinct on consumer protection. People lose money on these products. A regulator who worries about that is doing the job.

The shortcomings appear in precision and structure. In the US the patchwork of fifty states and a federal regulator creates chaos without guaranteed protection. European regimes focus on national licensing and treat most prediction platforms as unlicensed gambling.

Portugal, the Netherlands, France, Belgium, Ukraine and Romania have moved against Kalshi and Polymarket. Gibraltar stands as an outlier after licensing two prediction markets. Most European regulators remain unpersuaded.

In the US the Commodity Futures Trading Commission battles state regulators in court over whether predictions count as fiscal products or gambling. The legal tension raises questions about long-term sustainability.

The Regulatory Test That Hinges on Financial Loss

Alex Konanykhin invites scrutiny with a single question. Can a user lose money on the platform? On betting products the answer is yes by design. On SafeBets the answer is no.

Gambling law centers on risking something of value on an uncertain outcome. Remove the wager and the activity falls outside the framework those laws were written to address. This is not a loophole. It is a substantive difference.

Alex Konanykhin adds that the central harm gambling regulation seeks to prevent simply does not exist when no participant can suffer a financial loss. The closer regulators look the clearer the distinction becomes.

From the platform integration side this matters commercially. Supplier teams spend cycles on responsible gaming tools, age gates, deposit limits and loss controls. A no-wager model sidesteps much of that overhead.

Risk, Counterarguments and the Blurring Lines With Sportsbooks

The biggest misconception policymakers hold is that prediction requires a wager. They have only seen the activity packaged with a stake so they treat the two as inseparable. Once separated most of the regulatory debate shifts.

Regulators focus on people losing money. Wagering supplies the legal hook. Speculation raises economic worries. Consumer protection sits at the core. Integrity issues around insider information and manipulation rest on top of that foundation.

Betting companies show mixed reactions. The American Gaming Association opposes prediction markets. Yet FanDuel parent Flutter Entertainment, DraftKings and Fanatics have each launched their own predictions offerings. In Europe Matchbook has rolled out a B2B predictions platform while others like Smarkets doubt the sector will endure.

Alex Konanykhin sees wager-based sportsbooks and prediction markets consolidating because both take stakes on uncertain outcomes. SafeBets sits outside that fight. It targets the audience that will never gamble but wants to test judgment.

A risk here is that rankings and rewards could still produce unintended behavioral patterns. Leaderboards sometimes drive excessive engagement even without money on the line. Regulators may still ask whether non-financial incentives create their own harms. The model removes financial loss but does not eliminate all questions around consumer protection.

The Bottom Line

SafeBets forces a clearer taxonomy. If a participant can lose money regulators treat it as high-stakes activity. If a participant cannot lose it starts to look more like a skill competition. The first wave of genuinely no-wager platforms will test whether regimes move toward that honest distinction.

For industry executives the signal is practical. European opposition targets the wager itself. A no-wager approach may open doors that wager-based models cannot reach. US operators already blurring lines with their own predictions products will watch how this fork develops.

The audience that avoids financial risk remains large and underserved. Platforms that solve for judgment without the savings at stake could expand the total pool of engaged users. That is worth tracking as World Cup 2026 approaches and prediction volume spikes across every format. The data will show which mechanics deliver sustainable engagement and which ones regulators ultimately accept.