This Whole Article Was Written By: SubnetEdge
Now imagine it’s not humans placing the bets anymore, but artificial intelligence. And not just any AI: decentralized systems like Bittensor, already stepping into the world’s largest prediction markets.
That’s exactly what is happening with Sportstensor and Score/SIRE.
Why prediction markets are booming
Prediction markets have surged over the past year.
- Polymarket crossed $8 billion in trading volume in 2025.
- Kalshi, regulated in the US, has passed one billion sports contracts traded.
These platforms turn uncertainty into tradable assets. Instead of relying on polls or experts, they reveal what people are willing to risk money on.
That success is now drawing unexpected players: AI networks from Bittensor.
Bittensor’s entry
Two subnets have stepped into this space.
- Sportstensor, aggregating hundreds of predictive models into one collective meta-model.
- Score and SIRE, which process live sports video into data and execute automated betting strategies.
Each found its partner:
- Sportstensor with Polymarket.
- Score/SIRE with Kalshi.
Two approaches, two contexts, one strategic move: embedding AI directly into prediction markets.
Kalshi and Polymarket: two different models
The two platforms could not be more different.
- Kalshi operates as a regulated exchange. Dollar-denominated contracts, full CFTC oversight, traditional order books, and nationwide access in the US.
- Polymarket is the opposite: crypto-native, fast, borderless. Trades happen on-chain, settled in USDC, open to anyone with a wallet.
This contrast explains the match-ups.
Kalshi attracts Score/SIRE, which already operates like a quantitative hedge fund.
Polymarket attracts Sportstensor, which thrives on collective, decentralized intelligence.
What Score, SIRE and Sportstensor actually do
On Kalshi, SIRE functions as an algorithmic market maker. Its models identify probability gaps and place orders continuously. Many traders in US sports markets are now effectively trading against an AI.
On Polymarket, Sportstensor injects collective liquidity. Its aggregated predictions help adjust pools of bets and provide reference probabilities for users. Betting becomes a choice: align with the network’s intelligence, or challenge it.
In both cases, the AI is no longer just calculating. It is shaping the market itself.
What this means for users
- More liquidity: large bets can be placed without distorting prices.
- Fewer obvious errors: algorithms quickly correct mispriced odds.
- Higher difficulty: easy arbitrage disappears, the bar rises.
The average trader benefits from stability but now faces faster, sharper, and often smarter competition.
The intelligence economics behind these deals
These are not isolated experiments. They signal a strategic shift.
- Prediction markets are now a proving ground for AI.
- Bittensor is moving out of the lab and into billion-dollar flows.
- Kalshi and Polymarket acknowledge that liquidity and credibility increasingly depend on artificial intelligence.
Complementary, not competing
It would be easy to frame Score/SIRE and Sportstensor as rivals. One works with Kalshi, the other with Polymarket. One builds computer vision pipelines, the other aggregates collective intelligence.
But that misses the point. They are not competing. They are complementary.
Together, they illustrate exactly what Bittensor aims for: a network of specialized subnets, each with its own approach and expertise, but aligned around the same goal: capturing real economic ground by turning intelligence into market power.
For those watching closely, the key question is no longer does it work?
The real question is: who controls the market’s raw material ,the flow of information that sets the prices?
That is where competitive advantage lies. And that is where the next battle will unfold, between AI networks, decentralized finance, and institutional players.
- Sportstensor documentation: https://docs.sportstensor.com/mining-comprehensive-guide
- https://taostats.io/subnets/41/chart
- https://taostats.io/subnets/44/chart
- SIRE documentation: https://docs.sire.bot/
- Polymarket: https://polymarket.com
- Kalshi: https://kalshi.com
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