What Did Crypto Users Care About Most in 2025? Different AI Large Models Gave These Answers

Author | WuBlockchain

What did crypto users care about most in 2025? We conducted a user survey through AI large models by asking the same question to different models:

“In 2025, what were the three most frequently asked questions by users about cryptocurrency?”

To minimize homogenized answers caused by live web searches — and considering that large models typically cannot, and are not allowed to, provide verifiable statistics or disclosures about their training data — we added an extra instruction to the prompt:

“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 much further can this bull market run? Is Bitcoin already approaching its peak?

2. Does real Alpha still exist in this cycle, and how can ordinary users still make money?

3. Do current popular projects or sectors have long-term viability, or are there structural forms of extraction?

X Grok

1. After Bitcoin’s halving, is the market in a bull phase or a bear phase?

2. Which crypto assets or sectors are most worth investing in during 2025?

3. How are spot Ethereum ETFs performing, and what is the status of institutional capital inflows?

Perplexity AI

1. How might Bitcoin’s price evolve in 2025?

2. How can one 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, and can it be trusted?

3. How should new users start investing in crypto while managing risk?

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 L2s, Solana, and AI + Crypto, which technological path is most 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 have the most potential in 2025?

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

The fact that these models did not produce identical “top three questions” likely reflects differences in their positioning and contextual focus. ChatGPT appears to take a trader’s perspective, organizing discussion around a structured chain of anxieties — how far the cycle can go, whether Alpha still exists, and whether there is structural extraction. Grok aligns more closely with social media hotspots, centering on halving narratives, bull-versus-bear debates, and ETF capital flows. Perplexity resembles a search-style summary, focusing on price trajectories, scam prevention, and ETF/regulatory developments. Claude is more cautious, emphasizing timing of trades, project credibility, and risk control for newcomers. Gemini leans toward industry and technology pathways, highlighting RWA, the impact of regulation on asset security, and the “endgame choice” among L2s, Solana, and AI-driven crypto. Overall, Chinese-language models tend to concentrate more heavily on cycles, halving events, and regulation — three of the most “hard-core” deterministic variables.

Another secondary but noteworthy possibility is that differences in model capability also affect the “sharpness” of the outputs. More capable models are generally better at making a single topic more concrete and systematically structured, while less capable models tend to fall back on greatest-common-denominator themes such as price, regulation, and scams, making their answers look more similar and offering less incremental insight. This factor may not be the primary driver, but in broad, open-ended questions, it can indeed amplify the perception of homogenization.

Taken together, these questions converge on three overarching themes: cycle positioning, profit pathways, and risk boundaries. A defining feature of the crypto market is its high volatility and strong narrative-driven dynamics, which means that determining where the market sits in the bull–bear cycle almost dictates every subsequent user action — whether to hold, sell, rotate positions, add leverage, or exit entirely. As the market becomes more mature and 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. At the same time, concerns about scams, project credibility, asset security, and regulatory compliance reflect the long-term reality faced by crypto users: operating in an environment of high returns paired with high uncertainty. Chasing upside while fearing hidden risks ultimately forms a typical behavioral structure — first judge the trend, then seek opportunities, and finally control risk.

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