Ethereum Co-Founder Warns Prediction Markets Are Sliding Into “Corposlop”

Vitalik Buterin sparked a fresh debate in crypto circles today when he warned that prediction markets have wandered into a commercially successful but socially hollow groove. He also sketched out a radical alternative that would push them toward long-term hedging use cases, even suggesting they could reduce the need for fiat currency.

Buterin began his thread by acknowledging the success of prediction markets. Volumes are large enough that trading can be a full-time job and markets often serve as useful complements to conventional news. But he quickly pivoted to a critique. In his view, many platforms have drifted toward short-term, dopamine-driven products, crypto price bets, sports wagers and similar offerings, because those things bring in big revenue, especially in a bear market. That incentive, he argued, encourages what he called “corposlop”: product choices driven by short-term revenue rather than social value.

The core of Buterin’s prescription is to reposition prediction markets around hedging. He laid out a simple taxonomy of market participants, “smart traders” who provide information and profit, and the actors who, by design or necessity, lose money. Today, he said, the losers tend to be “naive traders” who bet on plainly bad ideas. That dynamic gives platforms a perverse incentive to court more such bettors and to cultivate communities that reward noise, not insight.

Vital Shift Wanted

Buterin contrasted that with two other categories he finds more promising. One is “info buyers,” entities that set up money-losing automated market makers to elicit trades that teach them information they lack. The other is “hedgers”: actors who accept expected losses in linear terms because the market serves as insurance, smoothing their overall risk exposure. He used a biotech example to explain the hedger’s logic. By betting on an electoral outcome that would otherwise hurt the value of a biotech holding, an investor can reduce portfolio volatility and effectively insure future returns.

The thread grew more ambitious from there. Buterin suggested that prediction markets could be built on assets people actually want to hold, interest-bearing fiat, wrapped stocks, or ETH, and used to create personalized baskets that mirror an individual’s expected future expenses. In his vision, local agents (he proposed local LLMs) could assemble prediction-market shares across categories of goods and services so that users hold “N days” of their expected expenses. If realized, he argued, such a system could serve many of the functions that stablecoins or fiat currently provide, removing the need to peg value to a single national currency and offering a decentralized path to price stability.

He acknowledged practical constraints: prediction markets would need to be denominated in assets with acceptable opportunity costs, and information public goods problems remain a challenge for “info-buying” models. But he framed the hedging approach as more sustainable because it aligns the incentives of both sides, traders and hedgers, around long-term usefulness rather than short-term engagement. The thread closed with a forceful call to builders: “Build the next generation of finance, not corposlop.”

The post landed against a backdrop of renewed interest in decentralized stablecoins, prediction platforms, and novel finance primitives across Ethereum and other networks. Whether Buterin’s proposal will steer projects away from headline-chasing markets and toward the kind of infrastructure he imagines remains to be seen, but his thread has already refocused attention on what prediction markets are for, and who they should serve.