AI models predict the ultimate crypto portfolio for 2025

Here’s a look at the different coins AI predicts will dominate the crypto landscape in 2025.
Here’s a look at the different coins AI predicts will dominate the crypto landscape in 2025.

With artificial intelligence emerging as a transformative force in finance, a number of investors have begun to recognize the potential of this technology in shaping their portfolios.

In fact, a recent survey revealed that 54% of all investment managers have already implemented AI within their investment research, while another 37% intend to adopt it soon. 

So, what exactly is AI saying about crypto in 2025? There are a number of popular AI models — namely ChatGPT, Perplexity and Microsoft Copilot — that have made some surprising predictions for crypto this year.

Here are just a few:

Bitcoin (BTC)

  • ChatGPT: $175,000–$350,000
  • Perplexity: $75,500–$200,000
  • Copilot: $175,000–$350,000

Factors driving Bitcoin’s price

  1. Institutional adoption: Each AI model highlighted the critical role of institutional adoption, particularly emphasizing the impact of Bitcoin exchange-traded funds (ETFs), such as those led by BlackRock. They noted that such financial instruments facilitate access for institutional and retail investors, driving demand and bolstering Bitcoin’s (BTC) legitimacy.
  2. Supply scarcity: The models all cited Bitcoin’s halving mechanism as a pivotal factor, particularly the April 2024 halving that reduced miner rewards from 6.25 BTC to 3.125 BTC. Historically, these reductions have resulted in price surges, reinforcing the bullish outlook of the AI models.
  3. Macroeconomic trends: Perplexity and Copilot noted that favorable macroeconomic conditions — such as the election of a pro-crypto US administration and a dovish US Federal Reserve — could lay the groundwork conducive for another Bitcoin rally in 2025.

2. Ether (ETH)

  • ChatGPT: Above $6,000
  • Perplexity: $2,670–$10,000
  • Microsoft Copilot: $5,000–$10,000

Factors driving Ether’s price

  1. Ethereum 2.0 and technological upgrades: All three models emphasized the importance of Ethereum’s technological advancements, particularly its transition to Ethereum 2.0 alongside other improvements in scalability, energy efficiency and transaction costs.
  2. Burgeoning DeFi and layer-2 ecosystem: Each model also recognized Ethereum’s foundational role in decentralized finance (DeFi) and its expanding layer-2 ecosystem as a critical driver of demand and future price jumps. 
  3. Institutional and regulatory adoption: Perplexity and ChatGPT agreed that growing institutional interest and a favorable regulatory environment stand to play a significant role in boosting Ether adoption and, consequently, Ether’s price over the coming few months.

3. Solana (SOL)

  • ChatGPT: $500–$725
  • Perplexity: $166–$555
  • Copilot: $400–$500

Factors driving Solana’s price

  1. Ecosystem growth: All three models highlighted Solana’s recent capital inflows, developer engagement and increasing adoption of native projects and tokens as critical drivers for its continued price appreciation.
  2. Institutional and strategic adoption: Each model pointed to Solana’s (SOL) growing presence in institutional finance and strategic partnerships. Collaborations with major entities such as PayPal, Stripe and BlackRock-affiliated partners were recognized as key factors in reinforcing the project’s growing adoption.
  3. Technological breakthroughs: While Perplexity emphasized Solana’s high throughput and low transaction costs as foundational advantages, ChatGPT highlighted integrations with the Firedancer Validator Client as a key factor driving the ecosystem’s scalability and overall usability in the near term.

4. Tron (TRX)

  • ChatGPT: $1.00–$1.10
  • Perplexity: $0.2971–$0.378147
  • Microsoft Copilot: Up to $0.73

Factors driving Tron’s price

  1. DeFi ecosystem and total value locked (TVL) metrics: Each model highlighted Tron’s position as the third-largest blockchain by TVL as driving substantial engagement and trust from users and investors.
  2. Bridging DeFi and TradFi: Perplexity and ChatGPT emphasized Tron’s growing community of over 15 million active users and stable DeFi platforms like JustLend and JustStables. On the other hand, Microsoft Copilot underscored this growth with a 64% surge in active addresses, reflecting heightened interest from both users and developers.
  3. Technological advancements: All of the AI models cited Tron’s scalability — particularly, its ability to process up to 2,000 transactions per second — and ongoing protocol upgrades as drivers for future price appreciation.
  4. Financial performance and fee dominance: ChatGPT and Copilot highlighted Tron’s financial success, citing its $240 million in monthly revenue milestone and its $1.3 billion in fee collection over the course of H2 2024 (surpassing Ethereum).

5. XRP

  • ChatGPT: $5–$7
  • Perplexity: $1.44–$4.44, with an extended target of $5.25
  • Microsoft Copilot: $4.45 by mid-2025 and up to $27.50 by the end of 2025

Factors driving XRP’s price

  1. Regulatory clarity: The resolution of the US Securities and Exchange Commission lawsuit against Ripple Labs was highlighted by Perplexity and ChatGPT as being a much-needed regulatory driver to help boost XRP’s (XRP) institutional and retail confidence.
  2. Cross-border payment use case: All of the AI models agreed on XRP’s established position as a bridge currency for fast, cost-effective cross-border transactions.
  3. Market positioning: Copilot noted XRP’s climb to the third-largest cryptocurrency by market capitalization and surpassing BNB (BNB) as a reflection of its growing prominence, while Perplexity and Microsoft Copilot pointed to increased whale activity and partnerships with major financial institutions as indicators of robust institutional adoption.
  4. RLUSD launch: Microsoft Copilot and ChatGPT highlighted the launch of Ripple’s RLUSD stablecoin as a potential long-term price driver for XRP.

6. Cardano (ADA)

  • ChatGPT: $2.42–$3.20.
  • Perplexity: $2.50–$3.00 
  • Copilot: Expressed optimism for surpassing the $1 mark, with no specific upper limit provided.

Factors driving Cardano’s price

  1. Expanding smart contract ecosystem: ChatGPT and Microsoft Copilot noted that the deployment of nearly 100,000 new smart contracts in 2024, the introduction of Plutus v3 and the Chang Hard Fork have not only enhanced Cardano’s functionality, efficiency and overall market demand but also primed it for a solid financial showing in 2025.
  2. Community-led projects: Perplexity highlighted Cardano’s vibrant community and initiatives like Project Catalyst as major contributors to its growth and governance.

7. Avalanche (AVAX)

  • ChatGPT: $56–$84
  • Perplexity: $29.02–$95.11
  • Microsoft Copilot: $60 (mid-2025) to $100+ (end of 2025).

Factors driving Avalanche’s price

  1. Recent upgrades and increased scalability: All of the models cited the Avalanche9000 upgrade as a primary reason for Avalanche’s (AVAX) continued growth, especially since it reduces layer-1 deployment costs (by 99.9%) and C-Chain transaction fees (by 96%). Similarly, Microsoft Copilot highlighted the introduction of Subnets — enabling independent yet interconnected blockchains to boost scalability and reliability — as another growth driver for AVAX.
  2. High throughput: Perplexity and Copilot cited Avalanche’s ability to process up to 6,500 transactions per second as a reason for more developers and users entering the ecosystem (thus, in turn, leading to future price appreciation).
  3. Decentralization: ChatGPT noted that Avalanche’s 155,000 delegating addresses have made it one of the most decentralized blockchains on the market.

8. Kaspa (KAS)

  • ChatGPT: $2–$5
  • Perplexity: $0.101 and $0.344, with a stretched target of $0.566
  • Copilot: up to $0.42 

Factors driving Kaspa’s price

  1. GhostDAG protocol: All of the AI models highlighted Kaspa’s unique GhostDAG protocol as its primary USP, noting that it allows for unparalleled transaction speeds and rapid block generation.
  2. DAG framework: Copilot further noted that the platform’s Directed Acyclic Graph (DAG) structure enables it to handle high transaction throughput efficiently, making it an appealing choice for developers and investors alike in the new year.

This article is for general information purposes and is not intended to be and should not be taken as legal or investment advice.