For years, prediction markets were considered almost an academic curiosity. Economists studied them because they seemed to aggregate information better than polls. Tech enthusiasts saw them as a smarter way to predict the future.
Then something changed.
Platforms like Polymarket and Kalshi have brought prediction markets into the public spotlight, transforming them into a sort of real-time dashboard for global events. Elections, economic data, political decisions — and even geopolitical crises — have become the subject of tradable contracts.
The question is no longer whether these markets work.
The question is what happens when news itself becomes an asset on which to speculate.
Markets as information machines
The idea behind prediction markets is simple: if people can put money behind their beliefs, the price of contracts should reflect the most accurate possible estimate of reality.
A contract traded at $0.70, for example, indicates that the market assigns a 70% probability to a certain event occurring.
In this way, expectations and information dispersed among thousands of people are synthesized into a single number that updates continuously.
In theory, this mechanism can be more effective than:
- •polls
- •expert analysis
- •traditional forecasting models
But all of this presupposes one fundamental condition: that everyone has access to the same information.
And that is precisely where the problems begin.
The risk of privileged information
When prediction markets concern sports or elections, the information advantage is relatively limited.
But when they begin to concern political decisions, geopolitical events, or corporate choices, the situation changes radically.
Imagine a market predicting:
- •whether a government will announce new sanctions
- •whether a CEO will resign
- •whether a certain military operation will occur by a certain date
Anyone with access to confidential information — public officials, corporate executives, embargoed journalists — could have a huge advantage.
In other words, these markets risk becoming places where privileged information can be monetized.
When global events become speculative assets
In recent months, some prediction markets have hosted contracts linked to extremely sensitive geopolitical events, including possible military escalation scenarios.
This opens an ethical question that goes beyond regulatory considerations.
Is it acceptable to profit from the occurrence of potentially tragic or destabilizing events?
Financial markets have always reacted to geopolitical events: oil prices rise during wars, defense company stocks grow during international tensions.
But prediction markets eliminate all intermediation. They allow betting directly on the event itself.
From an economic perspective, this may seem like a subtle difference.
From a social perspective, however, it is a profound transformation.
Gambling or a new financial market?
Industry platforms vehemently reject the idea of being simple online casinos.
From a technical perspective, they function more like derivatives markets than traditional betting: users buy and sell contracts that represent probabilities, not bets against the house.
However, regulators are still divided.
📋 Approach 1
Some authorities believe these markets should be treated as sports betting, with similar licenses and controls.
📊 Approach 2
Others consider them a new category of information markets, which could fall under financial regulation.
The answer will determine the future of the sector.
A mirror of the new digital economy
The rise of prediction markets also reflects a broader change in the digital economy.
The internet has progressively transformed information and expectations into tradable assets:
- •attention is monetized through advertising
- •social trends influence meme stocks
- •online communities create value through tokens and cryptocurrencies
Prediction markets push this logic to the extreme.
They transform uncertainty itself into a financial product.
The future of prediction markets
It is unlikely that these markets will disappear. In fact, with the development of blockchain technology and digital finance, they could become even more sophisticated.
The real question is governance.
Without clear rules, they risk becoming tools for speculation on sensitive events or exploitation of privileged information.
With appropriate regulation, on the other hand, they could become powerful tools for:
- •economic forecasting
- •risk analysis
- •collective intelligence
For now, prediction markets remain in a gray area between finance, information, and speculation.
And it is precisely this ambiguity that represents, at the same time, their greatest risk — and their most interesting opportunity.