As Bitcoin (BTC) continues to face a bear market and dip below $100,000, an artificial intelligence model has set the possibility for the asset to reach a new all-time high by the end of the year.
Notably, as of this writing, Bitcoin is trading at $95,731, down 0.5% in the past 24 hours and down almost 6% on the timeline. At current prices, the cryptocurrency is down about 25% from its all-time high of $126,000.
Bitcoin fundamentals hit new highs
To gauge the probability of Bitcoin hitting a new all-time high, Finvold sought insight from OpenAI’s ChatGPT. ChatGPT outlined several catalysts for achieving this milestone.
The tool noted that strong demand from institutional investors and inflows into exchange-traded funds (ETFs) could add $5 billion to $10 billion of buying pressure, while macroeconomic tailwinds such as potential Fed easing and favorable economic data could lift risk assets.
Historically, Bitcoin has shown year-end strength following halvings, especially when liquidity conditions are supportive.
On the bearish side, ChatGPT noted that Bitcoin’s recent dip below $100,000 suggests short-term weakness. With only 1.5 months left until 2025, BTC will need to rise by around 30% to break above its all-time high.
Wider macro and market risks, such as interest rate fluctuations, geopolitical shocks and liquidity constraints, further limit upside room.
Probability that Bitcoin will hit a new all-time high
Technically, the AI estimates that there is a 60% chance of it exceeding $100,000 in the short term, but only a 35% chance of sustaining the increase to $126,000 in the remaining time.
Adjustments to institutional flow and regulatory clarity improve these chances slightly, but the compressed window tempers expectations.
The final assessment by ChatGPT is that there is a 30-35% chance that Bitcoin will hit a new all-time high by December 31, 2025, while a 65-70% chance that it will fall below its previous high or fall further.
While not impossible, the analysis frames the opportunity as a roughly one-in-third scenario, reflecting the delicate balance between technical patterns, macro factors, and limited time.
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