Artificial intelligence (AI) is not just for research anymore. Artificial intelligence is being increasingly used as a “market oracle”, used to create scenarios, price ranges, sector-level changes, across all global asset classes.
AI adoption will accelerate in 2025 across the crypto market and asset management industry, as funds and analysts use large-language models to interpret macro signal, onchain data, and regulatory developments.
Cointelegraph had leading AI models predict what the crypto price could be in 2026 to test their interpretation of future events.
All responses point to an evolving market, which is shaped primarily by the growth of infrastructure and tighter regulations.
Methodology
Question timeframe
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AI model queries were conducted Dec. 15-16, 2025.
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Price references: All price ranges are expressed relative to spot crypto market prices observed during the query window of Dec. 15–16, 2025.
Models queried
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OpenAI ChatGPT is available on Google Gemini and Microsoft Copilot. xAI Grok can also be found.
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To avoid contamination of results, each model was questioned independently.
Prompt structure
The Asset-Level View
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Price ranges of major crypto currencies in 2026
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The key bullish and negative catalysts
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The models were asked for base-case ranges of prices, rather than worst or best case scenarios. These price ranges are anchored on the market conditions that existed at the time the questions were submitted.
Exact prompt used:
Your task is to create a model that can forecast the crypto markets for 2026.
Each of the following crypto currencies:
Bitcoin (BTC), Ethereum, (ETH), BNB (XRP), Solana, (SOL), Tron, (TRX), Dogecoin, (DOGE) and Cardano, (ADA).
The following information is required for the year 2026.
1. Estimated price range
Do not use a single point of price, but a range
Estimate your value based on the historical cycle, onchain fundamentals, and macroeconomic conditions.
2. Key bullish catalysts
Institutional adoption or regulatory clarity. Ecosystem growth. Technological upgrades.
Two concise bullets are allowed
3. Risks or constraints for bearish markets
Competition, technological risks, or saturation of demand can all be a result of regulatory headwinds.
Two concise bullets are allowed
Editorial handling
Cointelegraph uses a standard prompt to ensure consistency and readability across AI models. AI responses have been edited to improve clarity, length and consistency. Repetitive language and overlapping topics were removed while reasoning and intent was preserved.
Limitations and bias considerations
AI models have clear limitations. Cointelegraph, in order to reduce the likelihood of hallucinations and to avoid a distorted perception, asked that models provide ranges instead of point forecasts. Each model was also required to include both bullish as well as bearish triggers. This was done to emphasize scenario-based analysis and not certainty.
Models rely on data from training with fixed cutoffs, and they do not know about real-time changes in the market or unpublished developments. Predictions do not take into account sudden shifts in policy, events that are referred to as “black swans” or a change of sentiment.
AI systems are also prone to anchoring dominant market narratives. It means predictions are more likely to be clustered around the consensus view than against it. These outputs reflect also probabilistic reasoning, not prescience. These predictions show how big language models understand trends and not what is going to happen definitively in 2026.
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AI Price Predictions
BitcoinBTC)
ChatGPT: $85,000–$180,000
Gemini: $100,000–$220,000
Grok: $100,000–$250,000
Copilot: $85,000–$135,000
Key bullish catalysts
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Gemini, ChatGPT, and Copilot all agree that BTC is a major macro-asset due to sustained institutional flows, as well as corporate treasuries, exchange-traded BTC funds, and wider balance-sheet adoption.
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Gemini and Grok predicted a more accommodating macro-economic backdrop for 2026. This would be characterized by a more accommodative monetary policy and a post-halving of supply constraints. Potential sovereign accumulation and easing of monetary policies could also reinforce this. “digital gold” narrative.
Key bearish risks
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ChatGPT warned, Gemini and Copilot that an abrupt change in the global financial conditions could reduce liquidity and decrease demand for alternative assets and risky investments, such as Bitcoin.
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Gemini said that regulatory pressure is another concern shared by both it and Grok. It’s a common issue around ETF structures and ETF custody, as well as taxation, capital controls and ETF structure. These issues could impact institutional confidence should scrutiny increase.
EtherETH)
ChatGPT: $3,000–$9,000
Gemini: $7,000–$18,000
Grok: $4,000–$12,000
Copilot: $8,200–$10,200
Key bullish catalysts
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Gemini, ChatGPT, and Grok have all identified the layer-2 Ethereum ecosystem as being a key driver. They argue that rollups, and post-Dencun scalability, could improve fee efficiency and throughput while maintaining decentralization.
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Copilot and ChatGPT highlight Ethereum’s growth as a settlement-layer for tokenized asset, stablecoins (and institutional decentralized financial institutions) and DeFi as a source of structural demand.
Key bearish risks
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Gemini, ChatGPT and others have identified fragmentation between multiple layer-2 networks. They believe this could weaken ETH’s story of value capture and dilute its liquidity.
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Copilot and Grok say that regulatory uncertainty regarding staking and DeFi, as well as ETH classification within key jurisdictions may also restrict institutional participation if it stalls.
BNBBNB)
ChatGPT: $350–$900
Gemini: $550–$1,200
Grok: $700–$1,500
Copilot: $850–$1,200
Key bullish catalysts
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Gemini, ChatGPT, and Grok attribute the BNB upside to Binance’s regulatory stabilization and its continued dominance in the exchange-linked ecosphere across trading, payment, and DeFi.
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Copilot and ChatGPT stated that the growth of BNB Chain activities, especially in retail and gaming-oriented applications, are viewed as a potential driver for sustained demand and utility.
Key bearish risks
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The four models all see BNB being highly vulnerable to Binance’s regulatory actions. Enforcement or restrictions pose a direct downside risk for token demand.
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Gemini and ChatGPT have raised concern that centralization could also limit broader institution adoption in comparison to decentralized networks.
The XRP currency (XRP)
ChatGPT: $0.80–$3.00
Gemini: $1.00–$3.00
Grok: $1.50–$6.00
Copilot: $1.80–$3.20
Key bullish catalysts
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Gemini, Copilot, and Grok all agreed that a wider adoption of Ripple’s payment rails, whether by public or private institutions, could significantly strengthen XRP’s utility.
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ChatGPT said that full regulatory clarity is key to re-establishing institutional trust and fostering new partnerships in the United States.
Key bearish risks
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ChatGPT and Copilot warn that XRP is facing structural competition, including stablecoins and central bank digital currency, as well as tokenized fiat options that could offer simpler settlement across borders.
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Grok, ChatGPT and others have noted that a slower than expected real-world uptake beyond pilots programs may also be limiting the upside of legal advances.
Solana (SOL)
ChatGPT: $120–$350
Gemini: $300–$800
Grok: $200–$600
Copilot: $150–$300
Key bullish catalysts:
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Gemini ChatGPT Grok highlighted Solana’s architecture of low cost and high performance as an advantage in consumer facing applications like gaming, payments and social platforms.
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Copilot and Gemini say that the continued activity of developers, investment in ventures and experimentation by institutions could strengthen ecosystem momentum until 2026.
Key bearish risks
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The four models all mention recurring network reliability concerns, with past outages remaining a major downside risk. This is especially true during peak periods.
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Gemini and ChatGPT warned as well that the improvements to Ethereum’s layer-2 eco-system could reduce Solana’s advantage in performance and increase competition among developers and liquidity.
Tron (TRX)
ChatGPT: $0.12–$0.30
Gemini: $0.20–$0.50
Grok: $0.20–$0.50
Copilot: $0.25–$0.55
Key bullish catalysts
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Gemini, ChatGPT, and Grok all agree on Tron’s dominance as the settlement layer of stablecoin transfers (especially USDt)USDTThis is a sustainable source of supply for the onchain.
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Gemini, as well as Copilot, point out that real-world asset integrations or stablecoin regulation could also have a positive impact.
Key bearish risks
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ChatGPT said that regulatory pressures on stablecoins, or increased scrutiny of Tron’s governance structure may pose risks systemic to the core application.
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Grok’s and Copilot’s limited developer activities and lack of innovation beyond payments can also reduce the potential upside in comparison to a more diversified eco-system.
DogecoinDOGE)
ChatGPT: $0.07–$0.40
Gemini: $0.30–$0.80
Grok: $0.20–$0.80
Copilot: $0.12–$0.25
Key bullish catalysts
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ChatGPT and Copilot described DOGE as having a positive outlook, based on the retail driven momentum that is amplified via social media, culture relevance and integration of consumer tipping or payment platforms.
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Gemini says that DOGE’s high brand visibility and recognition continues to set it apart from other memecoins.
Key bearish risks
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The four models cited the lack of utility and inflationary supply in DOGE as major structural limitations on DOGE’s long-term appreciation.
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ChatGPT, Grok and others said the newer, more speculation-based memecoins would further dilution of attention and money during future cycles.
Cardano (ADA)
ChatGPT: $0.40–$1.80
Gemini: $1.50–$4.00
Grok: $0.60–$2.50
Copilot: $0.50–$1.20
Key bullish catalysts
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Gemini Grok Copilot have cited Voltaire’s rollout of decentralized government and progress made on scaling as potential boosts to credibility for their network.
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ChatGPT and Gemini cited adoption for public sector, education or identity use cases as possible differentiators in the long term.
Key bearish risks
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ChatGPT Grok and Copilot have warned against a slow-moving, methodical approach to development and research in an environment of rapid change.
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Gemini and ChatGPT said that a persisting gap between Cardano’s market capitalization, and the relatively low activity onchain or TVL may continue to cause questions regarding real economic use.
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Source: cointelegraph.com
