Gen Z is treating prediction markets like an investment account

Nationwide's chief investment strategist Mark Hackett released a report this week showing that fifty-two percent of Gen Z respondents had redirected money earmarked for investing into sports betting or prediction markets. Twenty-six percent of the same group described the activity as a long-term financial strategy.

Those numbers deserve to sit still for a moment before anyone reaches for a framework.

Hackett's core argument is the one every statistics professor reaches for: the house edge compounds against you over time in the same way that diversification compounds for you. He puts the S&P 500's positive return rate at roughly seventy-nine percent over any rolling one-year period, and positive for every rolling sixteen-year period since 1928. The arithmetic on the other side of that ledger, for repeated betting activity, runs in the opposite direction by design.

He is right about that mechanism. Where I think the report does less work than it could is in treating prediction markets and sports betting as the same category of activity, because the distinction is not decorative — it has a direct bearing on the compounding logic.

A poorly calibrated sports bettor faces a structural edge against them built into the vigorish. A poorly calibrated prediction market trader faces something different: other traders who are also trying to be right. The house is not the counterparty in the same way. That does not make prediction market trading prudent as a retirement strategy, but it does mean the compounding-loss mechanism Hackett describes does not apply with the same mechanical certainty. Skilled traders in liquid markets — and there is evidence from Tetlock's superforecaster work that skill exists and persists — do not face the same return distribution as someone placing point-spread bets every Sunday.

The Nationwide data does not separate how the Gen Z respondents were using prediction markets. Were they trading political contracts, sports event contracts, earnings calls? The fifty-two percent figure collapses wildly different behaviors into one alarming number, and the report does not try to disaggregate them.

That said, I am not going to argue that a twenty-two-year-old diverting rent-adjacent money into Kalshi contracts on NFL game outcomes is behaving like a hedge fund trader finding edge in a mispriced market. Most of them are not. The research on retail participation in prediction markets — thin as it currently is — suggests that return distribution is heavily skewed toward a small number of active, calibrated traders and a much larger population who lose small amounts repeatedly.

Hackett is identifying a real behavioral pattern. The generational spread in the data is striking on its own: Gen X at ten percent diverting investment funds, Boomers at four percent. The gap between fifty-two and four is not explained by financial sophistication alone — it tracks almost exactly with the rise of smartphone-native trading interfaces designed to make a contract purchase feel like a stock trade.

That interface problem is the part the Nationwide report gestures at without naming directly. When Robinhood made equity trading feel like a game, retail participation spiked and a measurable portion of new participants lost money in ways they did not anticipate. Prediction market platforms are currently making the same interface decisions, at scale, for a generation that arrived financially literate in the sense of knowing what a trade is, but not necessarily in the sense of understanding what an edge is.