Every day, 10 leading AI models are asked the same question about Bitcoin's future price. This page explains exactly how predictions are collected, how accuracy is measured, and what the data means.
Every day at 06:00 UTC, an automated script queries 10 AI models simultaneously via their official APIs. Each model receives an identical prompt asking for Bitcoin price predictions from 2027 to 2100, structured as bear case (pessimistic), base case (most likely), and bull case (optimistic) for every year.
The same script also collects short-term predictions — asking each model what it expects Bitcoin's price to be in 7, 30, 90, 180, and 360 days. These are used to measure accuracy over time.
All responses are parsed, validated, and stored in a Supabase database. If a model fails or returns invalid data, up to 3 retries are attempted. The script uses a smart failure threshold — only flagging the run as failed if more than 3 models produce invalid results.
Ten of the world's leading AI systems are queried daily. Each is accessed via its official API using the most capable model available at a reasonable cost. All models receive identical prompts to ensure fair comparison.
The "AI consensus" shown on the homepage is a simple arithmetic mean of all 10 models' base case predictions for a given year. No weighting, no adjustment — every model contributes equally regardless of past accuracy.
The spread shown below the average (e.g. "$127K – $750K") represents the lowest and highest base case prediction across all models for that year, giving a sense of disagreement between models.
In addition to long-term predictions, each model is asked daily to predict Bitcoin's price at 5 future intervals: 7, 30, 90, 180, and 360 days from today. When that date arrives, the actual Bitcoin price is fetched from CoinGecko and compared to the prediction.
Accuracy scores shown in the leaderboard are rolling averages across all graded predictions for that interval. A model that has been graded 30 times contributes more signal than one graded 5 times. Leaderboard tabs unlock automatically once enough data exists for that interval.
The predictions shown on this site are outputs from AI language models, not financial advice. AI models do not have special knowledge of Bitcoin's future price — they are reasoning from patterns in their training data.
The purpose of this site is to track and measure AI prediction accuracy over time, not to provide investment guidance. No content on this site should be used as the basis for any financial decision.
Always consult a qualified financial advisor before making investment decisions.
The question was simple: if you ask 10 of the world's most capable AI systems the same question about Bitcoin's future, what do they say? And over time, which one turns out to be most accurate?
No one was answering that question systematically. AI Predicts Bitcoin was built to answer it — transparently, automatically, and every single day. The predictions, the methodology, and the accuracy data are all open for anyone to inspect.
Tracking started in April 2026. In one year, there will be ~36,500 individual AI predictions on record — graded for accuracy against real Bitcoin prices.