Prediction markets surge past $1 trillion forecast as young men drive speculative trading
A recent study by Morning Consult indicates that 71% of users are men under 45, while regulatory scrutiny intensifies following Minnesota’s ban on the platforms.
The prediction markets industry is on track to exceed $1 trillion in trading volume by 2030, a growth trajectory analysts compare to the rapid expansion of the artificial intelligence sector. According to a recent study by analytics firm Morning Consult, the demographic driving this surge is predominantly male, with 71% of current users identified as men under the age of 45. This trend is particularly pronounced among younger cohorts; a poll by the American Institute for Boys and Men found that one in four American men aged 18 to 24 had used a prediction market or gambling app within the past six months.
Despite the soaring volume projections, financial outcomes for the majority of participants are negative. Data from Polymarket, one of the largest platforms in the space, shows that approximately 69% of accounts have lost money since 2022. The situation mirrors trends on Kalshi, where more than 70% of traders have been unprofitable over the past six months. Bloomberg analysis revealed that over 100,000 accounts on Polymarket had lost at least $1,000, highlighting the significant financial risk undertaken by retail users.
Profit concentration on these platforms is extreme, with wealth accumulating in the hands of a tiny fraction of users. The Wall Street Journal reported that nearly $500 million in profits on Polymarket went to fewer than 2,000 accounts. Furthermore, 67% of total profits on the platform are captured by the top 0.1% of accounts, suggesting that the vast majority of participants are effectively funding the gains of a small elite.
The industry operates in a unique regulatory environment in the United States, where prediction markets are not classified as gambling but are instead regulated as commodity futures trading. Platforms generate revenue by charging transaction fees on bets placed on outcomes related to sports, politics, economic indicators, and entertainment. However, this regulatory classification has not prevented state-level pushback. Minnesota has become the first state to enact a ban on prediction markets, according to The New York Times, signalling growing legislative concern over the sector’s impact.
Experts and industry observers note that the appeal of these markets is heavily influenced by social media and influencer culture. Elvira Bolat, a professor at Bournemouth University, told the BBC that influencers are downplaying the risks involved, framing prediction markets as a form of intelligence or strategy rather than gambling. Ben Fielding, CEO of AI infrastructure provider Gensyn, argued that current market structures encourage trading on specific major events to drive liquidity, often leading users to follow influencers without being better informed. He contrasted this with the concept of information markets, which he believes would encourage trading based on genuine expertise rather than speculative trends.
