Claude Fable 5 puts 25% chance of Bitcoin $95K by 2026
Anthropic’s Claude Fable 5 assigns a 25% probability that Bitcoin will reach $95,000 by year-end 2026 after a detailed scenario prompt.
Anthropic’s Claude Fable 5 assigned a 25% probability that Bitcoin will reach $95,000 by the end of 2026. The assessment came from a targeted prompt that asked the model to act as a senior bitcoin market strategist and produce bull, base and bear scenarios with probabilities and short reasoning. Bitcoin was trading near $63,440, a roughly 2.9% gain over the prior week.
Researchers ran the same detailed prompt through five advanced AI systems: Claude Fable 5, ChatGPT 5.5, Grok, Deepseek and Qwen 3.7 Plus. Each model received a dense data package including current price, on-chain metrics, ETF flows, macro indicators and recent news. The run using Fable 5 finished hours before Anthropic restricted customer access to Fable 5 at the request of the U.S. government.
All five models described bitcoin as being in a capitulation phase. They pointed to more than half of circulating supply sitting at a loss and long-term holder realized profit ratios below one as evidence that many holders are selling at a loss. The models highlighted a roughly 13-day streak of ETF outflows totaling about $3.4 billion to $4 billion as the primary near-term risk to price stability. ChatGPT 5.5 summarized the market as “a post-peak, capitulation-heavy correction” and flagged ETF redemptions, a stronger dollar and elevated Treasury yields as headwinds.
The systems’ base-case year-end 2026 projections clustered between roughly $58,000 and $75,000. Claude Fable 5 assigned a 25% probability to a bull outcome reaching $95,000 by year-end, while other models offered more conservative year-end bull ranges. Deepseek and Grok projected larger recoveries above $100,000 by mid-2027 in scenarios that assume a Federal Reserve policy pivot and renewed ETF inflows.
Models consistently cited macro variables as wildcards. A strong U.S. dollar and 10-year Treasury yields near 4.5% were identified as constraints on risk appetite. Several models also noted declining exchange reserves and signs of on-chain accumulation as structural supports that could limit further downside. None of the systems presented high-confidence forecasts; each framed its output as probabilistic scenario analysis rather than investment advice and pointed to a reversal in institutional demand as the main catalyst for sustained gains.
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