Anthropic 96%, OpenAI AGI 24%: Betting Real Money on Who Wins the AI Race

The Market Has Spoken

As of March 2026, Polymarket hosts 101 active markets on artificial general intelligence and hundreds more on AI companies. Two markets stand out:

"Which company has the best AI model end of March?" — Anthropic at 96%. Not a typo. The crowd gives Anthropic a near-monopoly on the "best model" title, with Google, OpenAI, Meta, and xAI splitting the remaining 4%.

"OpenAI announces it has achieved AGI before 2027?" — 24% Yes, with $38,544 in volume. Three in four traders bet against OpenAI hitting its stated mission within 21 months.

These two numbers tell a fascinating story: the market believes the best AI exists right now at Anthropic, but that general intelligence — the kind that replaces human cognition broadly — is still improbable by end of 2027.

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What "Best Model" Actually Measures

The "best AI model" market resolves based on community consensus and benchmark performance. Key factors traders weigh:

• Reasoning benchmarks (GPQA, MATH, coding competitions)
• Real-world utility (developer adoption, enterprise use)
• Safety and reliability (fewer hallucinations, better instruction following)
• Multimodal capabilities (text, image, code, audio)

Anthropic's Claude Opus 4 dominance at 96% reflects both benchmark leadership and the developer community's revealed preference. When people choose which model to build products on, they're making a bet with their business — that's stronger signal than any benchmark score.

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The AGI Question: Why 24% Is Both High and Low

A 24% probability of AGI announcement by 2027 might sound low, but consider what it means: roughly 1 in 4 traders believe OpenAI will credibly claim to have achieved artificial general intelligence within 21 months.

Why 24% is remarkably high:

• No AGI definition exists that the field agrees on
• OpenAI's own researchers have described current models as "narrow"
• Yann LeCun has publicly argued current architectures cannot reach AGI
• Scaling laws are showing diminishing returns in some domains

Why 24% isn't crazy:

• Sam Altman has repeatedly said AGI is "closer than people think"
• OpenAI's charter defines AGI as "highly autonomous systems that outperform humans at most economically valuable work"
• "Announce" ≠ "achieve" — OpenAI could claim AGI with a lower bar than academics expect
• o1/o3 reasoning models have shown step-function improvements in mathematical and coding tasks

The market is essentially pricing the probability of a marketing announcement — not a scientific breakthrough. And OpenAI has strong incentives to declare victory: fundraising, talent recruitment, and competitive positioning all benefit from an AGI claim.

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What OpenAI's Product Market Reveals

The companion market — "What kind of product will OpenAI announce in 2026?" — provides additional signal on the AI race trajectory. The market tracks whether OpenAI will launch new model families, hardware, enterprise products, or consumer apps.

The key insight: the market is far more confident about incremental product launches (new model versions, API features) than revolutionary claims (AGI, consciousness, autonomy). This aligns with the 76% No on AGI — the crowd expects faster horses, not flying cars.

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PredictScope's AI Analysis in Context

The AI model race directly impacts prediction market infrastructure. PredictScope's AI event analysis uses large language models to assess event probabilities and market impacts. The quality of these assessments is directly tied to which model leads:

• Better reasoning → more accurate probability estimates
• Better real-time understanding → faster news-to-signal pipeline
• Better calibration → fewer overconfident or underconfident predictions

When the market says "Anthropic 96%," it's also saying that tools built on Anthropic's models — like PredictScope's analysis engine — are working with the best available intelligence.

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The Contrarian Opportunities

Two potential mispricings worth watching:

Google at ~1% for "best model" might be too low. Google's Gemini Ultra has advantages in multimodal processing and real-world integration (Search, Maps, YouTube training data) that benchmarks don't fully capture. If Google ships a breakout product by end of March, the 1¢ → 10¢ move is a 10x.

AGI at 24% might be too high if you believe the announcement requires actual scientific consensus rather than marketing spin. If Sam Altman says "we've achieved AGI" and the research community disagrees, does the market resolve Yes? The resolution criteria matter enormously at this price.

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Takeaways for Traders

1. 96% is a consensus, not a certainty. The history of "best model" rankings shows rapid leadership changes. A single breakthrough release from Google, OpenAI, or Meta could compress Anthropic's lead overnight.

2. The AGI market is a bet on marketing, not science. At 24¢, you're pricing the probability that OpenAI makes a claim — not that the claim is true. Separate the announcement probability from the scientific probability.

3. AI markets are the fastest-moving prediction markets. Model releases happen quarterly. Benchmark leaderboards shift monthly. If you trade AI markets, you need real-time monitoring — PredictScope's market data tracks probability movements across all active AI contracts.

4. Low-volume markets (like AGI at $38K) are inefficient. That's where the biggest mispricings live, but also where liquidity is thin and slippage is high. Size positions accordingly.

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Related Polymarket Markets

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References

1. "Artificial Intelligence Predictions" — Polymarket
2. "OpenAI announces it has achieved AGI before 2027?" — Polymarket
3. "AI Predictions" — Polymarket
4. "Which company has the best AI model?" — Polymarket