When Finance Becomes the Product

This is not just about prediction markets. The broader issue is financialization, or the gradual conversion of more areas of life into tradable claims and speculative games.

Finance is essential. It moves savings into investment, lets entrepreneurs raise capital, gives farmers and manufacturers tools to hedge risk, and generates prices that carry real information. A society without finance would be poorer and less resilient.

But financialization is different. It occurs when the machinery of finance becomes an end in and of itself. Money is made through mere turnover, trading, and arbitrage. Instead of building better goods and services, profits are generated through zero-sum extraction. Activity may be privately profitable, but it consumes real resources in the form of talent, computing power, consumer attention and regulatory capacity.

Financialization resembles a casino in which the social product is not a new factory, a new medicine or a better logistics system, but a transfer from one player to another, minus the house cut.

Silicon Valley did not invent this problem. Wall Street has lived with it for decades. High-frequency trading, structured derivatives and fee-heavy investment products have long raised questions about how much these activities improve capital allocation, and how much merely allows sophisticated intermediaries to skim from the churn. The new development is Silicon Valley has put the casino in everyone's pocket.

The Casino Moves to Your Phone

The old financialization was often hidden. It took place behind trading desks, or inside opaque securitization structures far from the ordinary consumer’s daily life. Today’s version is mobile. A user can trade crypto, buy options, bet on a game, wager on an election or take a position on a celebrity scandal from the same rectangle of glass used to call a parent or read the news.

Cryptocurrencies demonstrate the pattern in unusually pure form. Some blockchain applications may prove useful, especially in payments and cross-border transfers. Stablecoins and tokenized assets may yet reduce costs in parts of the financial system. But much of the crypto boom has consisted of people trading tokens whose main use is to be traded again. A coin rises in value because others expect it to rise.

This is the logic of a speculative bubble. Prices detach from underlying fundamental value and rise mainly because buyers expect to sell to someone else at a higher price. A meme asset becomes valuable because enough people agree, for a time, to act as though it is. Around that circularity grows an ecosystem of crypto exchanges, market makers, custodians, brokers, payment processors, law firms and data vendors only loosely attached to productive enterprise.

The case for prediction markets is somewhat stronger. They can aggregate dispersed information and sometimes produce useful forecasts. Event contracts can also help firms and individuals hedge real risks. The problem comes when that limited insight becomes a justification for turning every social fact into something people can bet on. A market on election outcomes may have informational value. A market on whether a candidate enters a race when that candidate can influence the outcome raises a potential conflict. A market on a military operation may likewise reveal useful information, but it can also reward leaks and create perverse incentives around life-and-death events. In the same way, a market on a temperature reading may encourage someone to tamper with the measurement. Once everything is tradable, every measure becomes a potential target.

The Logic of Betting

This is why the casino metaphor is apropos. Casinos are not necessarily fraudulent. Many people enjoy them. They create jobs and entertainment. But their economic value is limited, and their risks are well understood. A casino does not become a productivity booster because its blackjack tables produce transparent odds. A price is valuable only when the information it reveals is worth more than the real resources spent producing it. Similarly, an app does not become socially valuable merely because its bets are arranged neatly in an order book.

The policy test should be, what problem is the product solving? Does it let households insure against risks they cannot otherwise manage, help businesses plan, or send capital toward higher-valued uses? Does it reveal actionable, socially valuable information? Or does it mostly harvest attention, encourage compulsive gaming, and create opportunities for better-informed insiders to profit from everyone else?

These questions are especially pressing for younger users. Recent reporting on sports betting and prediction markets suggests that young people are being taught to treat financial life as a set of shortcuts. The surest way to success, they are told, is to trade options, buy crypto, bet on games, bet on politics, and bet on the news. This is sometimes called financial nihilism. A more accurate description may be rational despair. When owning a home feels unreachable, wages feel flat and work feels insecure, a gamble can look like a lottery ticket offering an escape. The platforms profit from that mood whether the user wins or loses.

The Line Between Productive Exchange and Gambling

None of this means every speculative product should be banned. That would be crude, and much activity would simply move offshore or into darker corners of the internet. Nor should regulators treat every novelty as evidence of danger. The important distinction is between innovation that expands productive capacity and innovation that merely monetizes transfers.

For prediction markets, if a product functions like sports betting with no obvious social purpose, it should be treated as such. Even outside of any policy context, platforms should make an affirmative case to the public of their social value. That burden will be easiest to meet for markets that hedge commercial risks or provide useful information on important social outcomes. It will be harder for products whose chief appeal is rapid-fire wagers on sports, pop culture or political drama. The burden of proof need not be high, but it should exist.

Silicon Valley’s great promise was that the new technological era would lead to a productivity boom, through software that lowered transaction costs, broadened access to knowledge and enabled new businesses to form. But too much of recent energy has gone toward gamifying human behavior. A healthy economy needs finance, risk-taking and experimentation. It does not need every hobby converted into a wager or every headline into a bet.

The CFTC’s fight with New York is a jurisdictional dispute. But it is more than that. The boundary between productive exchange and gambling is eroding, and the fact that a product has a ticker, an exchange, and a regulatory filing does not settle the question of whether it creates value. The task for policymakers, entrepreneurs and investors alike is to recover the distinction between innovation that builds and innovation that merely financializes. America became rich by producing, building and discovering. It will not stay rich by learning how to bet on everything faster.