Author: Wu Says Blockchain
What are the top concerns of crypto users in 2025? We conducted a user survey using AI large models, asking different models the same question: "What are the three most frequently asked questions by users about cryptocurrency in 2025?"
To minimize homogenized answers due to online searches and considering that large models typically cannot and are not allowed to provide verifiable statistics and disclosures about their training data, we added a note to our question: "Please do not perform real-time searches or cite specific articles; answer based solely on your understanding of long-term discussion patterns."
ChatGPT
- How far can this bull market go? Is Bitcoin close to its peak?
- Is there still real Alpha in this market, and how can ordinary users make money?
- Do current popular projects or sectors have long-term survival capabilities, and is there structural harvesting?
X Grok
- Is the market in a bull or bear phase after the Bitcoin halving?
- What are the most worthwhile crypto assets or sectors to invest in 2025?
- How is the performance of Ethereum spot ETFs and the inflow of institutional funds?
Perplexity AI
- How might Bitcoin's price evolve in 2025?
- How can one identify and avoid cryptocurrency-related scams?
- How will ETF and regulatory developments impact the crypto market?
Claude
- Is now the right time to buy or sell Bitcoin or Ethereum?
- Is a certain crypto project a scam, and is it trustworthy?
- How should new users start investing in cryptocurrency and manage risks?
Gemini 3
- Which crypto projects have real-world application value (RWA)?
- How will current and future regulatory policies affect personal asset security?
- Among Ethereum L2, Solana, and AI + Crypto, which technology route might become the ultimate winner?
DeepSeek
- Is the current market in a bull or bear phase?
- Which crypto sectors or assets have the most potential in 2025?
- How will changes in regulatory policies affect asset security and investment decisions?
Doubao
- Has a new round of cryptocurrency bull market already arrived?
- How will changes in regulatory policies in various countries affect ordinary investors?
- What does the Bitcoin halving market mean for retail investment strategies?
Qianwen
- How will the price trend evolve after the Bitcoin halving?
- Have Ethereum and mainstream public chains made substantial breakthroughs in practical applications?
- How will regulatory policies in various countries affect the legal use of cryptocurrencies?
Wenxin Yiyan
- How will global cryptocurrency regulatory policies change?
- Do Bitcoin and mainstream crypto assets have long-term investment value?
- Can the application scenarios of cryptocurrencies in the real world truly materialize?
Kimi
- Can retail investors achieve stable profits through high-frequency trading in the crypto market?
- What is the safest way to store private keys and wallet assets?
- In on-chain transactions, how can slippage be set to avoid MEV losses?
Summary
The reason these models provided different "top three questions" may relate to their respective positioning and context. ChatGPT appears to adopt a trader's perspective, organizing discussions into a structured anxiety chain of "how far can the cycle go — is Alpha still there — is there structural harvesting"; Grok is closer to social platform trends, focusing on narratives around halving, bull/bear markets, and ETF funds; Perplexity's style resembles a retrieval-based summary, concentrating on price trends, fraud prevention, and ETF/regulatory developments; Claude is more cautious, emphasizing buy/sell timing, project credibility, and risk control for newcomers; Gemini leans towards industry and technology routes, focusing on RWA, the impact of regulation on asset security, and the "final choice" among L2/Solana/AI. The Chinese models are generally more focused on the three "hardcore certainty variables" of cycles, halving, and regulation, while Kimi stands out by 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 differences in model capabilities may also affect the "sharpness" of outputs. More capable models often ask the same topic in a more specific and systematic manner; conversely, less capable models tend to revert to generalized expressions like "price/regulation/scams," making answers appear more similar and providing less informational increment. This factor may not be the main cause, but in macro open-ended questions, it can indeed amplify the perception of homogenization.
Overall, these questions are highly concentrated around three main themes: cycle position, profit paths, and risk boundaries. A significant characteristic of the crypto market is high volatility and strong narrative drive, so "which segment of the bull or bear market are we in now" almost determines all subsequent actions of users (holding, selling, reallocating, 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," making Alpha, sector selection, and institutional funds (ETFs) naturally high-frequency topics. Meanwhile, fraud, project credibility, asset security, and regulatory compliance reflect that crypto users have long been in an environment of "high returns/high uncertainty": chasing profits while worrying about pitfalls, ultimately forming a typical behavioral structure — first judging the trend, then seeking opportunities, and finally controlling risks.
免责声明：本文章仅代表作者个人观点，不代表本平台的立场和观点。本文章仅供信息分享，不构成对任何人的任何投资建议。用户与作者之间的任何争议，与本平台无关。如网页中刊载的文章或图片涉及侵权，请提供相关的权利证明和身份证明发送邮件到support@aicoin.com，本平台相关工作人员将会进行核查。
