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January 16.2026
3 Minutes Read

How College Students and Teens Are Driving the Prediction Markets Boom

Teens in a busy sports bar cheering at a game, lively atmosphere.

Understanding the Rise of Prediction Markets

In recent years, prediction markets have started to gain traction among younger demographics, particularly college students and teens aged 18 to 20. With platforms like Kalshi and Polymarket gaining prominence, these individuals are finding legal and accessible ways to engage in betting-like environments. According to analysts, this demographic, which is typically excluded from traditional legal gambling options due to age restrictions, is driving this surge in prediction market activity.

The Growing Popularity among Young Gamers

Barry Jonas, an analyst at Truist, highlights that these young adults are using prediction markets to wager more on college sports than professional leagues such as the NFL or NBA. Data from HoldCrunch reveals that college football betting has taken the lead on Kalshi, where its handle accounted for a whopping 32% of total trades, surpassing both the NFL and NBA combined. This shift signals a clear interest in college sports among college-age bettors, who might prefer less risky markets compared to traditional gambling avenues.

Impact of Regulation and State Laws

The distinction in age restrictions between sports betting and prediction markets makes platforms such as Kalshi and Polymarket attractive for young adults. While online sports betting typically requires users to be at least 21 years old, these prediction markets are accessible to those aged 18 and older across many states. This opens up avenues for increased engagement, especially in states where conventional sports betting remains illegal or highly regulated.

College Campuses as Trading Floors

College campuses are beginning to resemble trading floors, with students participating in prediction markets as part of their educational experience. Programs integrating these markets into economics and data science curricula allow students to apply real-time data analytics and risk management theories learned in class. It's not merely about wagering; it’s a practical hands-on approach that enriches their learning experience.

The Analytical and Educational Value of Prediction Markets

Prediction markets provide an analytical playground for students, who can engage in experiments that test economic theories in real-time. Utilizing tools like Kalshi, students analyze metrics such as liquidity and price movements, which fosters a deeper understanding of market dynamics. This growing integration into education signifies a shift towards applied learning in higher education. As discussions on the ethical use of prediction markets intensify, educators are tasked with ensuring that students navigate these platforms responsibly.

Potential Risks and Concerns

However, the rising popularity of prediction markets among younger users also brings with it some concerns. NCAA President Charlie Baker has voiced apprehension regarding the platforms allowing trading on college sports outcomes, urging regulatory bodies like the Commodity Futures Trading Commission to establish stricter safeguards. These concerns echo broader debates surrounding gambling, education, and youth engagement in financial markets.

The Future of Prediction Markets in Young Domains

As more students integrate prediction markets into their curriculum and daily activities, the expectation is for these platforms to evolve further. The rapid growth—bolstered by substantial trading volumes—has poised Kalshi, for instance, to dominate this emerging sector. As financial literacy becomes a core component of modern education, prediction markets could serve as essential tools for developing critical thinking, analytical skills, and risk assessment among college students.

Thus, prediction markets are not just a gambling avenue for college students; they represent a multifaceted educational resource, pushing the boundaries of traditional learning. As we look ahead, we can expect to see increased integration of prediction market concepts in various academic disciplines, reflecting a broader trend toward experiential learning.

Modern Economy

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