What are the main concerns of cryptocurrency users in 2025? Different AI large models have provided these answers.

Written by: Wu Says Blockchain

What are cryptocurrency users most concerned about in 2025? We conducted a user survey using AI large models, asking the same question to different large models: “What are the three most frequently asked questions by users about cryptocurrency in 2025?”

In order to minimize the homogenization of answers generated by different models due to online retrieval, and considering that large models are usually unable to, and are not permitted to, provide verifiable statistics and disclosures about their training data, we added a supplementary statement to the questions: “Please do not conduct real-time searches, nor cite specific articles, but answer based solely on your understanding of long-term discussion patterns.”

ChatGPT

1. How far can this round of bull market go? Is Bitcoin already close to the top?

2. Is there still real Alpha in this round of the market, and how can ordinary users make money?

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

X Grok

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

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

3. How is the performance of the Ethereum spot ETF and the situation of institutional capital inflow?

Perplexity AI

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

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

3. How will ETF and regulatory developments affect the cryptocurrency market?

Claude

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

2. Is a certain cryptocurrency project a scam, and is it trustworthy?

3. How should new users start investing in cryptocurrency and manage 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 technical route is likely to become the ultimate winner?

DeepSeek

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

2. Which crypto sectors or assets are most promising in 2025?

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

Bean bun

1. Has a new round of cryptocurrency bull market arrived?

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

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

Thousand Questions

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

2. Have Ethereum and mainstream public chains made substantial breakthroughs in practical applications?

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

Wenxin Yiyan

1. How will global cryptocurrency regulatory policies change?

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

3. Can the application scenarios of cryptocurrency in the real world truly take off?

Kimi

1. Can retail investors achieve stable profits in the cryptocurrency market through high-frequency trading?

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

3. In on-chain transactions, how to set slippage to avoid MEV loss?

Summary

The reason the “top three questions” provided by these models are not entirely the same may relate to their respective positioning and contexts. ChatGPT is more like a trader's perspective, organizing discussions into a structured anxiety chain such as “how far can the cycle go - is Alpha still there - is there a structural harvest?”; Grok is closer to social platform hot topics, focusing on market narratives around halving, bull and bear markets, and ETF funds; Perplexity's style resembles a retrieval summary, concentrating on price trends, anti-fraud measures, and ETF/regulatory progress; Claude is more cautious, emphasizing timing for buying and selling, project credibility, and risk control for beginners; Gemini leans more towards industrial and technological routes, paying attention to RWA, the impact of regulations on asset security, and the “endgame choices” of L2/Solana/AI. The Chinese models are generally more focused on the three “hardcore certainty variables” of cycles, halving, and regulation, while Kimi is relatively an exception, delving into on-chain execution details (wallet security, slippage/MEV, HFT), resembling real friction from high-frequency on-chain users.

Another, less significant but noteworthy possibility is that the differences in model capabilities can also affect the “sharpness” of the output. More advanced models tend to be able to ask the same topic in a more specific and systematic way; on the contrary, weaker models are more likely to revert to generic expressions like “price/regulation/scam,” resulting in answers that appear more similar, with less incremental information. This factor may not be the main cause, but in macro open-ended questions, it can indeed amplify the perception of homogeneity.

Overall, these issues are highly concentrated around three main themes: cycle position, profit paths, and risk boundaries. A notable feature of the crypto market is its high volatility and strong narrative drive, so “which part of the bull or bear market we are in” almost determines all subsequent actions of users (holding, selling, swapping, leveraging, or exiting). As the market enters a more mature and crowded phase, users quickly shift from “is there an opportunity” to “where is the opportunity, can I still profit,” thus Alpha, track selection, and institutional funds (ETFs) naturally become high-frequency topics. Meanwhile, scams, project credibility, asset security, and regulatory compliance reflect that crypto users have long been in an environment of “high returns/high uncertainty”: chasing profits on one hand while worrying about pitfalls on the other, ultimately forming a typical behavioral structure — first judging the trend, then seeking opportunities, and finally controlling risks.