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

cryptonews100_tggfrn by cryptonews100_tggfrn
December 23, 2025
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What Did Crypto Users Care About Most in 2025? Different AI Large Models Gave These Answers
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Writer | WuBlockchain

What did crypto customers care about most in 2025? We carried out a person survey via AI massive fashions by asking the identical query to totally different fashions:

“In 2025, what had been the three most continuously requested questions by customers about cryptocurrency?”

To attenuate homogenized solutions brought on by stay internet searches — and contemplating that giant fashions usually can not, and aren’t allowed to, present verifiable statistics or disclosures about their coaching knowledge — we added an additional instruction to the immediate:

“Please don’t conduct real-time searches or cite particular articles. Reply solely based mostly in your understanding of long-term dialogue patterns.”

ChatGPT

1. How a lot additional can this bull market run? Is Bitcoin already approaching its peak?

2. Does actual Alpha nonetheless exist in this cycle, and the way can peculiar customers nonetheless generate income?

3. Do present widespread initiatives or sectors have long-term viability, or are there structural types of extraction?

X Grok

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

2. Which crypto belongings or sectors are most value investing in throughout 2025?

3. How are spot Ethereum ETFs performing, and what’s the standing of institutional capital inflows?

Perplexity AI

1. How would possibly Bitcoin’s worth evolve in 2025?

2. How can one determine and keep away from cryptocurrency-related scams?

3. How will ETFs and regulatory developments have an effect on the crypto market?

Claude

1. Is now the appropriate time to purchase or promote Bitcoin or Ethereum?

2. Is a specific crypto undertaking a rip-off, and might or not it’s trusted?

3. How ought to new customers begin investing in crypto whereas managing danger?

Gemini 3

1. Which crypto initiatives have real-world software worth (RWA)?

2. How will present and future regulatory insurance policies have an effect on private asset safety?

3. Amongst Ethereum L2s, Solana, and AI + Crypto, which technological path is more than likely to emerge as the final word winner?

DeepSeek

1. Is the present market in a bull or bear part?

2. Which crypto sectors or belongings have probably the most potential in 2025?

3. How will adjustments in regulatory coverage have an effect on asset safety and funding choices?

The truth that these fashions didn’t produce similar “high three questions” probably displays variations in their positioning and contextual focus. ChatGPT seems to take a dealer’s perspective, organizing dialogue round a structured chain of anxieties — how far the cycle can go, whether or not Alpha nonetheless exists, and whether or not there’s structural extraction. Grok aligns extra carefully with social media hotspots, centering on halving narratives, bull-versus-bear debates, and ETF capital flows. Perplexity resembles a search-style abstract, specializing in worth trajectories, rip-off prevention, and ETF/regulatory developments. Claude is extra cautious, emphasizing timing of trades, undertaking credibility, and danger management for newcomers. Gemini leans towards business and expertise pathways, highlighting RWA, the impression of regulation on asset safety, and the “endgame selection” amongst L2s, Solana, and AI-driven crypto. General, Chinese language-language fashions have a tendency to pay attention extra closely on cycles, halving occasions, and regulation — three of probably the most “hard-core” deterministic variables.

One other secondary however noteworthy chance is that variations in mannequin functionality additionally have an effect on the “sharpness” of the outputs. Extra succesful fashions are typically higher at making a single subject extra concrete and systematically structured, whereas much less succesful fashions are likely to fall again on greatest-common-denominator themes similar to worth, regulation, and scams, making their solutions look extra related and providing much less incremental perception. This issue might not be the first driver, however in broad, open-ended questions, it could certainly amplify the notion of homogenization.

Taken collectively, these questions converge on three overarching themes: cycle positioning, revenue pathways, and danger boundaries. A defining function of the crypto market is its excessive volatility and robust narrative-driven dynamics, which implies that figuring out the place the market sits in the bull–bear cycle virtually dictates each subsequent person motion — whether or not to carry, promote, rotate positions, add leverage, or exit completely. Because the market turns into extra mature and crowded, customers rapidly shift from “Is there a chance?” to “The place is the chance, and might I nonetheless seize it?”, making Alpha, sector choice, and institutional capital (ETFs) pure high-frequency matters. On the similar time, considerations about scams, undertaking credibility, asset safety, and regulatory compliance mirror the long-term actuality confronted by crypto customers: working in an atmosphere of excessive returns paired with excessive uncertainty. Chasing upside whereas fearing hidden dangers in the end types a typical behavioral construction — first decide the development, then search alternatives, and eventually management danger.

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