Insider buying and selling has all the time been an issue for Wall Avenue.
Company executives know issues buyers don’t, and authorities officers can typically achieve entry to info earlier than the general public. And every now and then, somebody decides to show that benefit into cash.
That’s why securities legal guidelines exist.
However a wierd factor occurred final month.
Federal prosecutors charged a Google worker with allegedly utilizing confidential inner info to position worthwhile bets on Polymarket, one of many world’s largest prediction market platforms.
And I notice that may sound like an remoted case of misconduct. However I consider it reveals the actual product prediction markets are promoting.
And as synthetic intelligence will increase the worth of correct forecasts, that distinction goes to grow to be more and more essential.
Prediction Markets
As I’ve written about earlier than, prediction markets function on a easy premise.
As a substitute of asking one knowledgeable what’s going to occur subsequent, you let hundreds of individuals put cash behind their opinions.
In the event that they’re proper, they generate profits. And in the event that they’re mistaken, they lose it.
That creates a really completely different sort of forecast.
As a result of a ballot can let you know what folks say they consider, however a prediction market tells you what individuals are really keen to threat cash on.
That distinction helps clarify why these markets have grown so shortly.
In line with Pew Analysis, month-to-month buying and selling quantity on Kalshi and Polymarket climbed from lower than $5 billion in September 2025 to about $24 billion in April 2026.
For comparability, authorized sportsbooks in the US averaged about $14 billion per thirty days in 2025.
So prediction markets are now not some tiny nook of the web. They’re already processing extra month-to-month quantity than the authorized U.S. sports activities betting business.
However they’re not solely getting used to foretell the end result of sporting occasions.
Folks now commerce contracts tied to elections, inflation, Federal Reserve choices, crypto costs, climate, firm milestones and even cultural occasions.
That’s why I consider that prediction markets have gotten a brand new sort of info community.
One constructed round possibilities as a substitute of opinions.
As a result of a prediction market can create a stay likelihood sign. Each one among its contracts is making an attempt to reply the identical fundamental query:
What occurs subsequent?
If merchants consider there’s a 70% probability the Federal Reserve cuts charges, that worth turns into info.
If merchants consider there’s a 30% probability an organization will go public by the top of the 12 months, that worth turns into info too.
The market could also be mistaken. Actually, it typically shall be.
But it surely’s nonetheless making a real-time snapshot of what a big group of individuals believes is prone to occur.
And companies have understood the worth of that for years.
Google experimented with inner prediction markets way back to 2005. This Wall Avenue Journal headline is from early 2008:
Ford and different massive corporations have examined related programs.
Researchers who studied company prediction markets at these corporations discovered they improved on knowledgeable forecasts by as a lot as a 25% discount in forecasting error.
That’s a giant deal.
As a result of corporations are full of data that by no means makes it into a proper report.
For instance, engineers know when a product launch is slipping. Gross sales groups shortly notice when demand is weaker than an official forecast. And managers typically know when a deadline seems unrealistic.
Prediction markets can pull these scattered items of data into a visual quantity.
Then add in synthetic intelligence.
At its core, AI is already a prediction machine. It predicts the subsequent phrase in a sentence.
It will probably additionally predict which video will preserve you watching, what product you would possibly purchase and which route will get a package deal to your door quicker.
However as AI brokers grow to be extra helpful, they’ll want even higher indicators in regards to the future.
That’s the place prediction markets might grow to be much more essential.
As a result of they create a gentle stream of possibilities about real-world occasions. And in a world stuffed with AI brokers, these possibilities might grow to be gasoline.
Which brings us again to the Google case.
In line with federal prosecutors, the Google worker allegedly used confidential inner search information to position roughly $2.7 million in trades on Polymarket.
These trades allegedly generated about $1.2 million in income.
To be clear, this worker wasn’t accused of manipulating a inventory. He wasn’t accused of shopping for choices earlier than a merger announcement both.
He was accused of utilizing personal info to wager on future outcomes in a prediction market.
That means these markets are beginning to appeal to the identical conduct that after belonged nearly totally to Wall Avenue.
And this wasn’t the one current case.
In April, federal prosecutors charged a U.S. Military soldier with allegedly utilizing categorised info to revenue from Polymarket contracts tied to Venezuela.
Prosecutors stated he made greater than $400,000.
Right here’s My Take
These two circumstances don’t show the prediction market business is damaged.
Folks have all the time appeared for an edge.
However they do counsel that correct forecasts have gotten more and more priceless.
And that’s precisely what prediction markets produce.
Day-after-day, they convert uncertainty into possibilities and possibilities into costs.
And as AI will increase the worth of these forecasts, prediction markets might evolve into one thing a lot bigger than a speculative sideshow.
They may grow to be a brand new info layer for the economic system.
As a result of Wall Avenue trades shares. However prediction markets commerce potentialities.
Regards,
Ian King
Chief Strategist, Banyan Hill Publishing
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