Author: WuBlockchain
What are crypto users most concerned about in 2025? We conducted a user survey using AI large models by asking different models the same question: "What are the three most frequently asked questions about cryptocurrencies in 2025?"
To minimize homogenized answers due to real-time retrieval and considering that large models generally cannot—and are not allowed to—statistically verify or disclose their training data, we added a note to the question: "Please do not perform real-time searches or cite specific articles; answer based solely on your understanding of long-term discussion patterns."
ChatGPT
1. How much further can this bull run go? Has Bitcoin already peaked?
2. Is there still genuine Alpha in this market cycle, and how can average users make money?
3. Do current hot projects or sectors have long-term viability, or are they structurally exploitative?
X Grok
1. Is the market in a bull or bear phase after the Bitcoin halving?
2. What are the most promising crypto assets or sectors to invest in for 2025?
3. How are Ethereum spot ETFs performing, and what is the inflow of institutional capital?
Perplexity AI
1. How might Bitcoin's price evolve in 2025?
2. How to identify and avoid cryptocurrency-related scams?
3. How will ETF and regulatory developments impact 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, and is it trustworthy?
3. How should new users start investing in cryptocurrencies while managing 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. Among Ethereum L2, Solana, and AI+Crypto, which technological path is likely to emerge as the ultimate winner?
DeepSeek
1. Is the current market in a bull or bear phase?
2. Which crypto sectors or assets show the most potential in 2025?
3. How will changes in regulatory policies impact asset security and investment decisions?
Douban
1. Has a new cryptocurrency bull market arrived?
2. How will changes in regulatory policies across countries affect ordinary investors?
3. What does the Bitcoin halving trend mean for retail investment strategies?
Qianwen
1. How will Bitcoin's price trend evolve after the halving?
2. Have Ethereum and major public chains achieved substantive breakthroughs in practical applications?
3. How will regulatory policies in various countries affect the legitimate use of cryptocurrencies?
Wenxin Yiyan
1. How will global cryptocurrency regulatory policies change?
2. Do Bitcoin and mainstream crypto assets have long-term investment value?
3. Can real-world application scenarios for cryptocurrencies truly be realized?
Kimi
1. Can retail investors achieve stable profits through high-frequency trading in the crypto market?
2. What is the safest way to store private keys and wallet assets?
3. How should slippage be set in on-chain transactions to avoid MEV loss?
Summary
The reason these models provide slightly different "top three questions" may relate to their respective positioning and context. ChatGPT seems to adopt a trader's perspective, framing the discussion as a structured chain of anxiety: "How long will the cycle last — Is Alpha still available — Is there structural exploitation?" Grok aligns more with social media hotspots, focusing on narratives like halving, bull/bear markets, and ETF capital flows. Perplexity's style resembles a retrieval-based summary, concentrating on price trends, scam prevention, and ETF/regulatory progress. Claude is more cautious, emphasizing timing for buying/selling, project trustworthiness, and risk management for beginners. Gemini leans toward industry and technology, focusing on RWA, regulatory impacts on asset security, and the "final choice" among L2/Solana/AI. Chinese models overall focus more on cycles, halving, and regulation—these "most hardcore deterministic variables"—while Kimi is an exception, diving into on-chain execution details (wallet security, slippage/MEV, HFT), resembling real friction points for high-frequency on-chain users.
Another secondary but noteworthy possibility is that model capability differences also affect the "sharpness" of outputs. More capable models tend to frame the same topic more specifically and systematically; conversely, weaker models更容易 fall back on "price/regulation/scams"这类最大公约数式表达, making answers appear more similar with less informational增量. This factor may not be the main cause, but in macro open-ended questions, it could amplify the perception of homogeneity.
Overall, these questions highly concentrate on three core themes: cycle positioning, profit paths, and risk boundaries. The crypto market's notable features—high volatility and strong narrative drive—mean that "where are we in the bull/bear cycle" almost determines all subsequent user actions (holding, selling, swapping, leveraging, or exiting). As the market matures and becomes more crowded, users quickly shift from "is there an opportunity" to "where is the opportunity, and can I still capture it," making Alpha, sector selection, and institutional capital (ETFs) natural high-frequency topics. Meanwhile, scams, project credibility, asset security, and regulatory compliance reflect that crypto users长期 operate in a "high-reward/high-uncertainty" environment: chasing returns while fearing pitfalls, ultimately forming a typical behavioral structure—first assess the trend, then seek opportunities, finally control risks.
