AI model Grok 4 predicts a ten-year bull run for Bitcoin! Looking at $2.74 million in 2035, the community questions the assumption of linear growth.

Bitcoin enthusiast picdoc581 disclosed the long-term price prediction of the AI system Grok 4 on the X platform, showing extreme bullishness for Bitcoin: a target of $158,000 by the end of 2025, followed by a yearly surge, reaching a target price of $2.748 million by 2035. This prediction has sparked heated discussions in the community, with critics pointing out that Bitcoin has never achieved 'consecutive yearly pumps' in its history, and the cyclical fluctuation characteristics fundamentally contradict the linear growth model of AI. The involvement of AI tools in the valuation of encryption assets is gradually becoming a trend, but their predictions are highly dependent on model assumptions, and the complexity of market dynamics poses challenges.

Grok 4 Ten-Year Forecast: Stepwise Pump Blueprint According to the shared content, the Grok 4 model provides the following annual target prices for Bitcoin over the next ten years (2025-2035):

• **2025: ** $158,000 ( approximately $158,000 )
• 2026: $224,000 (22.4 million )
• **2027: ** $313,000 (31.3 million )
• **2028: ** $430,000 (43 million )
• **2029: ** $582,000 (58.2 million )
• **2030: ** $775,000 (77.5 million )
• **2031: ** $1,021,000 (102.1 million )
• **2032: ** $1,327,000 (132.7 million )
• **2033: ** $1,708,000 (170.8 million )
• Year 2034: $2,177,000 (217.7 million )
• **2035: ** $2,748,000 (274.8 million ) The model depicts an almost exponential growth curve, reflecting strong confidence in the long-term adoption rate and store of value status of Bitcoin.

Community Doubts: Historical Cyclic Law vs. AI Linear Model The prediction quickly sparked doubts within the encryption community after its release, with the core contradiction being:

• Historical patterns do not match: Since its inception, Bitcoin has exhibited significant "bullish-bearish" Fluctuation (usually every 4 years), and has never achieved consecutive annual rises. Users sharply pointed out: "Unless the fundamentals change (and people have been saying this every year since Bitcoin's inception), this is meaningless - it has never risen consecutively year after year. There are cycles, but there are no consecutive annual rises."
• Model Assumption Risk: AI predictions heavily rely on training data and parameter settings, which may underestimate the non-linear impacts of market black swan events, regulatory changes, and technological iteration risks on prices. Simplifying ten years of growth into a smooth rising curve ignores the fluctuations and consolidation phases of the real market.

AI Predictions on the Rise and Limitations of the Encryption Market The prediction of Grok 4 is another example of AI tools intervening in the field of digital asset valuation, with both significance and limitations.

• Provide New Perspectives: Increase a quantitative reference framework based on big data for market participants, especially in the field of encryption currency where traditional valuation models are lacking.
• Dependency and Uncertainty: The prediction results are severely limited by the model's data quality, algorithm design, and implicit assumptions (such as the expectation of continuous growth). In a highly dynamic and sentiment-driven encryption market, historical patterns may fail.
• Community Dialogue Catalyst: Such predictions, although controversial, successfully stimulate in-depth discussions about Bitcoin's long-term value support, adoption bottlenecks, and market maturity.

Conclusion: The Bitcoin ten-year rise blueprint depicted by Grok 4, while catering to the extreme optimistic expectations of some holders, has faced rational skepticism due to its contradiction with historical cyclical laws. AI models provide a novel data-driven perspective for the valuation of encryption assets, yet their linear extrapolation methodology still appears immature when addressing market complexities. Investors need to be clear that any long-term predictions—whether from human analysts or AI—are essentially a game of probabilities, and should be validated multidimensionally in conjunction with on-chain fundamentals, macroeconomic environment, and technological iterations. As Bitcoin moves towards becoming a mainstream financial asset, the role of AI predictive tools will become increasingly prominent, but their conclusions should be regarded as supplementary annotations to market sentiment, rather than the sole basis for investment decisions. True price discovery will still occur within the dynamics of market competition.