Author: Wu Shuo Blockchain What will crypto users care about most in 2025? We conducted a user survey using AI big data models, asking different models the sameAuthor: Wu Shuo Blockchain What will crypto users care about most in 2025? We conducted a user survey using AI big data models, asking different models the same

What will crypto users care about most in 2025? 10 AI models offer different answers.

2025/12/24 11:00

Author: Wu Shuo Blockchain

What will crypto users care about most in 2025? We conducted a user survey using AI big data models, asking different models the same question: "What are the three most frequently asked questions about cryptocurrency in 2025?"

To minimize the likelihood of homogenized answers from different models due to online searches, and considering that large models are typically unable and not permitted to conduct verifiable statistical analysis and disclosure of their training data, we added a supplementary sentence to the question: "Please do not conduct real-time searches or cite specific articles; answer only based on your understanding of long-term discussion patterns."

ChatGPT

1. How far can this bull market go? Is Bitcoin nearing its peak?

2. Is there still a true Alpha in this market round, and how can ordinary users still make money?

3. Do currently popular projects or sectors have the ability to survive in the long term, and is there any structural harvesting?

X Grok

1. Is the market in a bull or bear market phase after the Bitcoin halving?

2. What are the most worthwhile crypto assets or sectors to invest in in 2025?

3. How has the Ethereum spot ETF performed, and what are the institutional inflows?

Perplexity AI

1. How might the price of Bitcoin evolve in 2025?

2. How to identify and avoid cryptocurrency-related scams?

3. How will ETFs and regulatory developments affect the crypto market?

Claude

1. Is now the right time to buy or sell Bitcoin or Ethereum?

2. Is a particular crypto project a scam, or is it trustworthy?

3. How should new users get started investing in cryptocurrencies and manage the risks?

Gemini 3

1. Which crypto projects have real-world application value (RWA)?

2. How will current and future regulatory policies affect the security of personal assets?

3. Ethereum L2, Solana, and AI + Crypto: Which technology route is likely to emerge as the ultimate winner?

DeepSeek

1. Is the market currently in a bull market or a bear market phase?

2. Which crypto sectors or assets have the most potential in 2025?

3. How will changes in regulatory policies affect asset security and investment decisions?

bean bag

1. Has a new cryptocurrency bull market arrived?

2. How will changes in regulatory policies in various countries affect ordinary investors?

3. What does the Bitcoin halving mean for retail investors' investment strategies?

Thousand Questions

1. How will the price of Bitcoin evolve after the halving?

2. Have Ethereum and other mainstream public blockchains achieved substantial breakthroughs in practical applications?

3. How will the regulatory policies of different countries affect the legal use of cryptocurrencies?

A Word from the Heart

1. How will global cryptocurrency regulatory policies change?

2. Do Bitcoin and other mainstream crypto assets have long-term investment value?

3. Can cryptocurrencies truly be applied in the real world?

Kimi

1. Can retail investors consistently profit in the crypto market through high-frequency trading?

2. What is the most secure way to store private keys and wallet assets?

3. How to set slippage in on-chain transactions to avoid MEV loss?

Summarize

The reason why these models present slightly different "top three questions" may be related to their respective positioning and context. ChatGPT is more like a trader's perspective, organizing the discussion into a structured chain of anxiety: "How far can the cycle go—is Alpha still there—is there structural harvesting?" Grok is closer to social media hot topics, focusing on market narratives such as halving, bull and bear markets, and ETF funds. Perplexity's style is more like a search-based summary, focusing on price trends, fraud prevention, and ETF/regulatory progress. Claude is more cautious, emphasizing buying and selling timing, project credibility, and risk control for beginners. Gemini is more industry and technology-oriented, focusing on the impact of RWA and regulation on asset security, as well as the "endgame choice" of L2/Solana/AI. The Chinese-language models as a whole focus more on the three "most hardcore deterministic variables" of cycle, halving, and regulation, while Kimi is a relative exception, sinking the questions down to on-chain execution details (wallet security, slippage/MEV, HFT), more like real friction from high-frequency on-chain users.

Another, less significant but noteworthy possibility is that differences in model capabilities can also affect the "sharpness" of the output. Stronger models tend to ask more specific and systematic questions on the same topic; conversely, weaker models are more likely to fall into common-sense expressions like "price/regulation/fraud," resulting in answers that appear similar but offer less informational addition. This factor may not be the primary cause, but in macro-level open-ended questions, it can indeed amplify the perception of homogeneity.

In summary, these issues are highly concentrated on three main themes: cycle position, profit path, and risk boundaries. The crypto market is characterized by high volatility and strong narrative-driven factors; therefore, "which phase of the bull/bear market we are currently in" almost entirely determines all subsequent user actions (holding, selling, rebalancing, leveraging, or exiting). As the market enters a more mature and crowded phase, users quickly shift from "whether there are opportunities" to "where are the opportunities, and can I still capitalize on them?" Alpha, sector selection, and institutional funds (ETFs) naturally become high-frequency topics. Meanwhile, scams, project credibility, asset security, and regulatory compliance reflect that crypto users are constantly in a "high-return/high-uncertainty" environment: chasing returns while worrying about losses, ultimately forming a typical behavioral structure—first assessing the trend, then seeking opportunities, and finally controlling risk.

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