What are the top concerns of encryption users in 2025? The answers from the 10 major AI models vary.

Author: Wu Talks Blockchain

What are the main concerns of crypto users 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 about cryptocurrency by users in the year 2025?”

In order to minimize the homogenization of answers caused by online retrieval among various models, and considering that large models typically cannot and are not allowed to perform verifiable statistics and disclosures of their training data, we included a supplementary statement in the question: “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 bull market go? Is Bitcoin already nearing its peak?

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 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 2025?

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

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 now 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 personal asset security?

3. Ethereum L2, Solana, and AI + Crypto, which technology route is likely to become the final winner?

DeepSeek

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

2. Which cryptocurrency 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 round of cryptocurrency bull market already arrived?

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

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

Qianwen

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 regulatory policies in various countries affect the legal use of cryptocurrencies?

Wenxin Yiyan

1. How will global cryptocurrency regulatory policies change?

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

3. Can cryptocurrency applications 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 losses?

Summary

The reason why the “top three questions” posed by these models are not completely the same may relate to their respective positioning and context. ChatGPT appears to adopt a trader's perspective, organizing discussions into a semi-structured anxiety chain around questions such as “how far can the cycle go - is Alpha still present - is there a structural harvest?”; Grok is closer to social media trends, focusing on market narrative centers around halving, bull and bear markets, and ETF funds; Perplexity's style resembles a retrieval-based summary, concentrating on price trends, anti-fraud measures, and ETF/regulatory developments; Claude is more cautious, emphasizing timing of trades, project credibility, and risk control for beginners; Gemini leans towards industry and technological routes, focusing on RWA, the impact of regulation on asset security, and the “endgame choices” of L2/Solana/AI. The Chinese models overall are more concentrated on the three “hardcore certainty variables” of cycles, halving, and regulation, while Kimi stands out by drilling down 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 differences in model capabilities can also affect the “sharpness” of the output. More capable models tend to ask the same topic in a more specific and systematic way; conversely, less capable models are more likely to revert to generalized expressions such as “price/regulation/scam,” resulting in answers that appear more similar and 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 homogenization.

Overall, these issues are highly concentrated around three main themes: market cycle position, profit pathways, and risk boundaries. A significant 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, switching positions, 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 benefit from it,” thus Alpha, track selection, and institutional funds (ETFs) naturally become high-frequency topics. At the same time, 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 looking for opportunities, and finally controlling risks.