Info Finance prototype: How will the prediction market evolve from "betting on the future" to "influencing the future"?

When you hear the term "prediction market," what is your first reaction?

Most people will certainly think of sports betting and financial speculation. This impression is not unfounded; since the beginning of this year, prediction markets have visibly upgraded into a new type of social information medium—in "prediction markets," the outcome of the game itself is the most fairly priced and widely accepted "social information source."

Especially in traditional prediction markets, the participation mechanism and settlement process are often shrouded in an opaque black box. The emergence of on-chain technology has, for the first time, given "prediction" a public and verifiable structure.

As Ethereum co-founder Vitalik Buterin stated at the ETHShanghai 2025 main forum, during the U.S. election, many people participated in predictions through Polymarket, which itself is a success, proving that prediction markets can efficiently aggregate the genuine beliefs of the public (see further reading: “The Breaking Point of Prediction Markets: Why Are Giants Competing for 'Pricing Uncertainty'?”).

This article will also attempt to reveal this hidden yet gradually emerging possibility, exploring how prediction markets can transition from pricing uncertainty to influencing future trends in the real world.

1. From "Betting" to "Prediction" = A More Accurate Information Source

Ultimately, traditional betting markets, which were previously limited to a few fields like sports, are essentially just a "vote on the future." People merely decide who they think will win or lose based on their judgment or odds, and their core value stops at entertainment and gambling.

On the other hand, on-chain prediction markets resemble "cognitive trading." Their rise in the information age is due to their ability to solve two major pain points of traditional information channels:

On one hand, traditional media is often dominated by a few individuals who control topics and public opinion, making it difficult to accurately reflect the significance of events and public perception. On the other hand, traditional polls and surveys lack economic incentives, allowing participants to answer freely without the motivation to disclose their true beliefs (the 2016 U.S. election is a typical example of significant deviation between polls and reality).

Source: Xinhua News

Prediction markets perfectly avoid the aforementioned flaws. They use "price," a universal and quantifiable language, to aggregate individual judgments scattered around the globe, driven by genuine economic motives. Therefore, through price signals, they can capture trends in the real world more quickly and dynamically, which makes them not just a "financial product," but a new information medium.

When we look back at the 2024 U.S. election or expectations for cryptocurrency policies, we find that the predictions from platforms like Polymarket often align more closely with the final results than polls do. For instance, regarding the recent betting on CZ's pardon, the probability of his pardon steadily increased even before any official announcement was made.

Such market signals are often more forward-looking and accurate than subjective guesses or unincentivized comments.

Furthermore, with the support of AI, prediction markets can be extended to smaller, more micro events, as AI models can become active participants in the market, continuously gathering data, updating probabilities, and automatically generating predictions.

This means that future prediction markets will no longer just be a domain for human gambling but may evolve into a cognitive network co-built by "humans + AI," greatly enhancing the breadth and accuracy of information predictions.

2. A Trustless "Social Pricing Mechanism"

From this perspective, the greatest innovation or breakthrough of the current wave of prediction markets lies not in getting people to place bets, but in making those bets credible, transparent, and combinable.

Although the creation, trading, and settlement logic of prediction markets may not all be executed through smart contracts, their core mechanism is based on blockchain technology to achieve initial trustlessness and the broadest participation/settlement logic:

• Smart contracts ensure that the market's creation and settlement logic is immutable, while oracle services guarantee the (relative) fairness of result adjudication—though oracles themselves still need improvement, they at least represent an effort towards decentralization;
• Cryptocurrency deposits and withdrawals allow people from any region of the world to participate in the market with relatively low barriers, aggregating a broader collective wisdom;

Thus, prediction markets become an information aggregation mechanism based on algorithmic trust, making prices a transparent coordinate reflecting consensus.

Source: Vitalik's Blog

This actually forms a prototype of information finance (Info Finance), meaning that prediction markets are not just standalone applications but can be combined with DeFi modules to create the concept of information finance. Vitalik Buterin has suggested that prediction markets are merely an early form of information finance, and in the future, any uncertain matter can be priced in a market-oriented manner.

This means that prediction markets are no longer limited to politics or sports but can be embedded in broader scenarios such as governance, scientific research, climate, and AI model evaluation, "starting from the facts you want to know, then designing a market to best elicit that information," including:

• DAO Governance: Members can establish prediction markets on proposal outcomes, using market prices to reflect group expectations;
• Scientific Research and Innovation: Pricing the credibility of research conclusions through the market;
• AI and Algorithms: AI can participate in low-liquidity prediction tasks, automatically updating probabilities through models;

This evolution transforms prediction markets from a financial product into a "social pricing mechanism."

Additionally, another significant change is the trend of assetization in prediction markets, such as directly integrating DeFi's yield logic on-chain: market liquidity driven by AMM, allowing users to earn fees like in DeFi liquidity pools; or prediction positions (like YES/NO shares) can be tokenized and freely traded in broader secondary markets; in future designs, these tokens may even be incorporated into lending protocols to achieve yield compounding.

In other words, prediction markets can not only price the future but also allow holders to gain continuous returns, turning betting into a cash-flow-generating asset behavior.

3. The Future of Prediction Markets May Change the Future

Under this trend, prediction markets are likely to begin influencing the course of the real world in return.

Of course, this is a trend that currently seems quite hidden, with few discussions around it, but it is worth being vigilant—as more funds and heavyweight players gather at the prediction market table, it will naturally spread into the real world, gaining the ability to influence reality.

Especially after the news of Trump Media Group entering the prediction market business, it indicates that prediction markets will undoubtedly become more deeply embedded in real economic activities.

Source: Trump Media

For an extreme example: if in a market, the vast majority of rational economic agents bet on a certain candidate winning, not only will the market price be pushed up, but even the real-world voting behavior may also be influenced by price signals. Once the results are swayed by massive funds, prediction markets will possess the ability to change outcomes.

In simple terms, prediction markets are pushing everyone under the assumption of "rational economic agents" to the forefront of fate. In the process of trading consensus, they inadvertently intervene in the direction of that consensus. When "using money to influence outcomes" becomes profitable, they gain the ability to alter facts.

Interestingly, just at the recently concluded Coinbase Q3 earnings call, Coinbase co-founder and CEO Brian Armstrong staged a live experiment that could be described as "prediction market performance art."

When the analysts finished their questions, he jokingly said, "I noticed someone betting on the prediction market about whether I would mention certain keywords in today's call," and then he proceeded to list all those keywords in one breath—resulting in the betting odds on Polymarket being completely filled up!

This is both a joke and a small footnote and preview:

The future of prediction markets may indeed no longer be just about predicting the future, but rather by making prices signals, they may have the potential to change the world, thus gaining the ability to influence the future.