Valuation of $22 Billion, Kalshi Raises Over $1 Billion: Why Are Prediction Markets Exploding With Capital?

On March 20, 2026, the U.S. prediction market platform Kalshi announced a new funding round valued at $22 billion, raising over $1 billion. This figure not only set a new record for funding in the prediction market sector but also brought the “prediction market” niche into mainstream capital focus. In the context of the overall crypto market funding environment remaining relatively stagnant, what does this massive financing mean? Why has the prediction market suddenly become a hot pursuit for capital?

Why has the prediction market sector suddenly exploded?

The concept of prediction markets is not new, but the scale of Kalshi’s recent funding—valued at $22 billion with over $1 billion raised—marks a new stage for the sector. To understand this surge, we need to look back at the structural changes over the past 12 months.

First, regulatory barriers are breaking down. One of Kalshi’s core strengths is its compliance status—it is a derivatives exchange regulated by the U.S. Commodity Futures Trading Commission (CFTC), allowing U.S. users to legally trade event contracts. This differentiates it from on-chain prediction markets like Polymarket. Since 2025, the regulatory framework in the U.S. has become clearer, with the March passage of the Clarity Act by the Senate providing legal basis for classifying crypto assets, reducing compliance uncertainties for prediction markets.

Second, user behavior is undergoing a fundamental shift. According to a survey by Paradigm, over one-third (about 36%) of U.S. voters have used prediction markets—either placing bets or browsing markets for information. Among users under 50, the proportion rises to 66%, indicating prediction markets are moving from niche gambling to mainstream information sources.

Third, the scale of capital involved is growing exponentially. During the Oscars betting event, Kalshi and Polymarket’s combined betting funds first surpassed $100 million, whereas a year earlier, this figure was in the tens of millions. Kalshi’s weekly trading volume exceeded 20 million transactions, setting a platform record. These data points collectively suggest that prediction markets have moved beyond early adopters and are entering mainstream penetration.

What is driving capital to re-evaluate this sector?

Leading investors like Paradigm and other top crypto funds are backing Kalshi’s latest round, and their investment logic warrants close examination. The underlying drivers can be broken down into three levels.

The first is the iteration of traffic acquisition mechanisms. Recently, Kalshi partnered with Cash App, a payment app under Block, enabling users to top up their Kalshi accounts via Cash App Pay. With over 59 million monthly active users, even a 1% conversion rate could bring nearly 600,000 new users to Kalshi. This “payment + prediction” combo significantly lowers user acquisition costs and shifts prediction markets from “active search” to “scenario embedding.”

The second is the expansion of trading participants. Polymarket has begun supporting AI agents trading 24/7, allowing users to enable AI proxies via Alchemy’s AgentCard to automatically execute trades on Polymarket. This means the trading base in prediction markets is expanding from “humans” to “AI agents.” As AI agent technology explodes, the potential of this incremental market is greatly amplified.

The third is the verifiability of business models. Since January 2026, Polymarket has started charging trading fees on certain markets, accumulating over $11.2 million in fee revenue. This data validates the self-sustaining nature of prediction markets and proves to capital that this is not just “narrative-driven,” but a business with real revenue models and sustainability.

What are the structural costs behind rapid growth?

Any industry experiencing explosive growth faces structural costs, and prediction markets are no exception.

The biggest cost is the exponential increase in compliance expenses. As a CFTC-regulated entity, Kalshi must meet strict reporting, auditing, and capital requirements. Compared to on-chain protocols like Polymarket, Kalshi’s operational costs are heavier, with compliance teams far larger than technical teams. As the business expands, regulatory scrutiny will only intensify, not diminish.

Second, market liquidity is becoming concentrated among top players. Kalshi and Polymarket form a duopoly, making it nearly impossible for new entrants to gain liquidity support. For example, over 100 Chinese robotics companies secured funding in 2025, but by 2026, only 10-20 are likely to remain. This attrition pattern applies to prediction markets as well—funds and users are rapidly consolidating at the top, threatening survival for mid-tier projects.

Third, there is a potential conflict over data sovereignty. The core asset of prediction markets is user data—what users bet on, when, and how much—forming a valuable behavioral data pool. With AI agents participating in trading, the boundaries of data collection and analysis become fuzzier. Who owns this data, how it is used, and how privacy is protected will become key concerns for regulators and users alike.

What does this mean for the crypto and Web3 industries?

Kalshi’s massive funding round offers multiple insights for the crypto industry.

In terms of sector positioning, prediction markets are becoming a bridge connecting crypto to traditional finance. Kalshi’s model demonstrates that compliant, regulated prediction platforms can attract mainstream users while integrating with crypto infrastructure like payments and stablecoins. This provides a replicable path for other verticals in crypto—not to overthrow existing systems, but to complement and upgrade them.

From a technological perspective, the integration of AI and prediction markets could spawn new application scenarios. 24/7 AI trading agents will greatly enhance market liquidity and pricing efficiency. As AI proxies autonomously gather information, execute trades, and manage positions, prediction markets will evolve from “collectors of human information” to “human-machine collaborative decision networks.”

From a capital flow perspective, institutional investors are seeking “profitable, revenue-generating” crypto projects. Polymarket’s fee income and Kalshi’s user growth curve send a clear signal: beyond meme coins and airdrops, there is a sustainable growth path. This may steer more developers and entrepreneurs back to business fundamentals rather than chasing hype.

How will the sector evolve in the future?

Based on current trends, three main paths for prediction market evolution can be projected.

Path one is deep integration with payment scenarios. Kalshi’s partnership with Cash App is just the beginning. Future prediction markets may embed into more payment contexts—when you transfer money via a payment app, you might see options to “predict the outcome of this game”; when shopping online, you could participate in “predicting tomorrow’s gold price.” Payment tools could become traffic gateways, with prediction features as value-added services.

Path two is AI proxies becoming the main trading entities. As AI agent technology matures, a division of labor may emerge: humans set goals and risk preferences, while AI handles real-time market monitoring, trade execution, and position management. This will lower participation barriers and shift prediction markets from “gambling tools” to “decision-making tools.”

Path three involves integrating prediction markets with traditional financial products. Since event contracts are a type of derivative with similar risk profiles to futures and options, future offerings could include “prediction market index funds” or “structured products,” allowing broader investor participation indirectly.

What are the potential risks and boundaries?

Despite promising prospects, prediction markets face three major constraints.

Regulatory risk remains high. Although Kalshi is approved by the CFTC, the scope and types of event contracts are still under strict review. Controversial contracts—such as election outcomes or major policy shifts—may face tighter approval or suspension, posing operational risks for platforms relying on trading volume and active users.

Misalignment of user perception is another concern. The core value of prediction markets is “information aggregation,” but many users still see them as “gambling.” This cognitive bias can lead to two outcomes: excessive speculation triggering regulatory crackdowns, or user attrition—once they realize “long-term bets on high-probability outcomes will lose money,” their interest wanes. Converting “gambling users” into “information users” remains a long-term challenge.

The infrastructure’s technical bottlenecks are not yet fully exposed. As AI proxies participate at scale, transaction frequency could shift from “minute-level” to “second-level.” Can on-chain and off-chain infrastructure support this? Will systems crash under millions of concurrent transactions via payment apps? These issues are less apparent at smaller scales but will become critical once user numbers reach hundreds of millions, exposing infrastructure vulnerabilities.

Summary

Kalshi’s $22 billion valuation and over $1 billion in new funding mark a milestone in the prediction market sector. This scale not only sets a new industry record but also sends a clear signal to capital markets: prediction markets have moved beyond early exploration into mainstream penetration and commercialization.

The driving forces include regulatory benefits, payment integration, and AI proxies—together pushing the sector’s revaluation; industry impact shows prediction markets are becoming a key testing ground for crypto’s connection to traditional finance and AI tech; and future paths—deep payment scenario integration, AI-led trading, and financial product fusion—are relatively certain.

However, high valuation also entails high expectations. Regulatory uncertainties, user perception gaps, and infrastructure bottlenecks remain hurdles. Industry participants should understand the structural logic behind this funding wave, which offers more long-term value than short-term hype chasing.

FAQ

Q1: What are the differences between Kalshi and Polymarket?

A1: Kalshi is a CFTC-regulated compliant derivatives exchange allowing U.S. users to legally trade event contracts with fiat currency deposits and withdrawals. Polymarket is an on-chain prediction market built on blockchain, mainly targeting crypto users, using USDC and other stablecoins. They differ significantly in regulation, target users, and underlying technology.

Q2: What are the revenue sources for prediction markets?

A2: Main sources include trading fees, market maker fees, data licensing, and capital deposit interest. For example, since January 2026, Polymarket has charged trading fees on certain markets, accumulating over $11.2 million.

Q3: What is the core difference between prediction markets and gambling?

A3: The key distinction lies in their function. Gambling is entertainment with odds set by bookmakers; prediction markets focus on information aggregation, with prices formed collectively by participants, reflecting “group wisdom” about event probabilities. Academic and financial research shows prediction market prices tend to be more accurate than polls or expert forecasts.

Q4: How does AI participate in prediction market trading?

A4: Technologies now support AI proxies to access prediction markets. For example, users can enable AI agents via Alchemy’s AgentCard to automatically perform trades on Polymarket—query market data, place orders, manage positions, and interact with on-chain contracts. AI proxies can operate 24/7, greatly increasing market liquidity.

Q5: How can ordinary users participate in prediction markets?

A5: U.S. users can directly participate via compliant platforms like Kalshi; users elsewhere can choose on-chain platforms like Polymarket, connect with crypto wallets, deposit USDC, and start trading. Beginners are advised to start with small amounts, learn about event contract pricing and risks, then gradually increase their investments.