What Are Crypto Users Most Concerned About in 2025? 10 AI Models Give Different Answers

marsbitPublished on 2025-12-24Last updated on 2025-12-24

Abstract

The article explores what cryptocurrency users might be most concerned about in 2025 by querying 10 major AI models with the same prompt. Each model was asked to list the top three questions crypto users would frequently ask in 2025, with instructions to avoid real-time searches and rely on their understanding of long-term discussion patterns. The models provided varied responses, reflecting their unique focuses and contextual training. For instance, ChatGPT emphasized market cycles and alpha opportunities, while Grok focused on narratives like Bitcoin halving and ETF inflows. Perplexity prioritized price trends and scams, and Claude highlighted risk management for beginners. Gemini leaned toward real-world assets and technical roadmaps like L2 and AI integration. Chinese models like Douban and Wenxin were more aligned with regulatory impacts and market cycles, whereas Kimi delved into practical on-chain issues like wallet security and MEV. Overall, the questions centered on three core themes: market cycle positioning, profit opportunities, and risk management. The diversity in responses suggests differences in model design, data training, and intended use cases, with more advanced models often providing more structured and specific questions. The findings reflect the crypto community’s persistent focus on volatility, narrative-driven markets, and the balance between seeking returns and avoiding risks.

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.

Trending Cryptos

CitreaCTR

wrapped stUSDTWSTUSDT

Velodrome FinanceVELODROME

BrevisBREV

ZRX（0X）ZRX

PancakeSwapCAKE

STAR 50 Soars 10.73%, Why Did A-Shares Stage a "V-Shaped Reversal"?

After a prolonged decline, the Chinese A-share market staged a strong rally on July 21. The STAR 50 index surged 10.73%, its largest single-day gain in nearly a year, leading a broad-based "V-shaped" reversal. The Shanghai Composite Index rose 1.79%, the Shenzhen Component Index gained 4.81%, and the ChiNext Index jumped 7.05%. Total market turnover reached 2.97 trillion yuan, an increase of 256.1 billion yuan from the previous session, with over 3,100 stocks advancing. The semiconductor sector spearheaded the rebound, with related ETFs posting significant gains. Analysts attribute the surge to three converging factors. First, coordinated capital inflows from "national team" institutions, insurance funds, listed company buybacks, and fund house self-purchases have bolstered market liquidity and confidence. Second, supportive policy signals, including commitments from regulators to ensure stable market operations, provided a favorable backdrop. Third, a stabilization and recovery in overseas markets, notably South Korea, created a positive external environment. Institutions suggest the most severe panic selling phase for the tech sector has likely passed, following a significant digestion of crowded positions and leveraged funds. While short-term volatility may persist, the medium to long-term outlook remains underpinned by enduring trends like AI computing demand expansion and semiconductor localization. The market's focus now shifts to the sustainability of supportive fund flows, earnings reports, and upcoming catalysts from the global AI industry chain.

marsbit17m ago

STAR 50 Soars 10.73%, Why Did A-Shares Stage a "V-Shaped Reversal"?

marsbit17m ago

U.S. Tech Momentum Stocks Post Largest Single-Day Gain Ever, But Is the Plunge Over?

US tech momentum stocks staged a sharp rebound on Tuesday (July 21st). Morgan Stanley's TMT Momentum Factor surged over 12%, marking its largest single-day gain on record, exceeding even peaks from the 2000 dot-com bubble. Key momentum indices from Goldman Sachs also posted their strongest daily performances in years. The rally was led by semiconductors, with the Philadelphia Semiconductor Index jumping 4.6%. This rebound followed three consecutive down days and a cumulative 33% plunge in momentum stocks, one of the steepest drawdowns since the dot-com era. Analysts attribute the surge largely to a short squeeze. Heavy selling had pushed high-beta momentum stocks into deeply oversold territory, forcing many short sellers, particularly in Asia, to cover their positions, creating a self-reinforcing buying spiral. However, the rebound's internals appear weak. Trading volume was notably low, and advancing stocks still lagged decliners on the S&P 500, indicating a narrow, concentrated rally rather than broad market participation. Diverging views emerge on the outlook. BTIG warns the bounce has hit key resistance and recommends selling into strength, citing extreme volatility and historical parallels to past market tops. Conversely, Goldman Sachs and UBS believe the momentum unwind is nearing its end, suggesting it may be time to gradually add exposure, as positioning has been significantly reduced. They caution, however, that high volatility warrants a measured approach, potentially using defined-risk strategies. The upcoming earnings season, particularly reports from major tech firms like Alphabet, is seen as a critical test for the rally's sustainability. Simultaneously, bond markets flashed a warning, with yields rising partly due to spiking oil prices. Analysts note that if long-term Treasury yields break decisively higher, it could pose a significant headwind for equities, especially growth stocks.

marsbit24m ago

U.S. Tech Momentum Stocks Post Largest Single-Day Gain Ever, But Is the Plunge Over?

marsbit24m ago

U.S. Tech Momentum Stocks Record Largest Single-Day Gain Ever, but Has the Rout Ended?

U.S. tech momentum stocks staged a dramatic rebound on Tuesday, July 21st. Key momentum indices like the Morgan Stanley TMT Momentum Factor and Goldman Sachs' High Beta Momentum Long Index posted historic or near-historic single-day gains, fueled largely by semiconductor stocks. This sharp rally followed a severe three-day sell-off that saw momentum stocks plunge 33%, marking one of the steepest pullbacks since the dot-com bubble. Analysts attribute the bounce primarily to a short squeeze, as forced covering from over-leveraged traders, particularly in Asia, created a buying spiral. However, the rally's health is questioned due to weak market breadth—overall trading volume was low, and decliners outnumbered advancers in the S&P 500 despite the index's gain—suggesting a narrow, concentrated surge rather than broad recovery. Opinions on the sustainability diverge. BTIG strategists warn the rebound has hit key resistance levels, citing extreme volatility and historic stock dispersion as signs of an ongoing broader correction, and recommend selling into strength. Conversely, Goldman Sachs and UBS view the aggressive momentum unwinding as nearing its end, noting reduced positioning and a lack of new fundamental catalysts. They suggest the sell-off presents a selective opportunity to add exposure, albeit cautiously and gradually using defined-risk strategies. The immediate trajectory hinges on the ongoing earnings season, with market focus on Alphabet's capital expenditure guidance for AI investment clarity. Meanwhile, bond markets present a risk, with rising Treasury yields—potentially heading toward 5.5%—and widening credit spreads for mega-cap tech companies posing a threat to equity valuations. The combination of technical factors, earnings results, and macro conditions leaves the durability of the rebound in doubt.

链捕手27m ago

U.S. Tech Momentum Stocks Record Largest Single-Day Gain Ever, but Has the Rout Ended?

链捕手27m ago

Bitcoin flashes 3 macro-bottom signals – But can BTC reach $70K?

The article discusses Bitcoin's recent price movement above $66,000 and a shift in market analysis from focusing on a local bottom to a potential macro-cycle bottom. It cites a crypto analyst noting that BTC has flashed three historical technical signals that previously coincided with major market bottoms in 2015, 2019, and 2022, suggesting the current zone could be a strong long-term accumulation area. However, the article also highlights a significant challenge: despite the price breakout, on-chain data shows a lack of supporting liquidity. Stablecoin dominance is rising while the total stablecoin market cap is shrinking, with capital continuing to leave exchanges. This divergence indicates that while the technical setup is bullish, the rally may struggle to sustain enough momentum for a decisive move into the $70,000 region without an influx of fresh capital.

ambcrypto29m ago

Bitcoin flashes 3 macro-bottom signals – But can BTC reach $70K?

ambcrypto29m ago

Long-Divided Must Unite, Long-United Must Divide: When L1 Becomes Its Own Rollup, What Is Ethereum's Endgame?

"The Inevitable Cycle: When L1 Becomes Its Own Rollup – What is Ethereum's Endgame?" For years, the Ethereum community grappled with concerns that L2s were fragmenting the ecosystem and eroding L1's value. While L2s provided cheaper execution, they also splintered liquidity and the unified user experience of a single chain. This has prompted a fundamental reassessment of the relationship between L1 and L2. Ethereum's roadmap is evolving. The "Scale" initiative merges L1 and L2 expansion into a holistic framework. L1 itself is advancing with higher gas limits, statelessness, and zkEVM verification, no longer content to be just a low-throughput settlement layer. Consequently, the primary value proposition of L2s is shifting from merely providing cheap blockspace to offering L1 cannot easily provide: application-specific optimizations, privacy features, and flexible governance models. L2s are becoming a spectrum of execution environments with varying degrees of security inheritance from Ethereum. A critical challenge in this multi-chain future is interoperability. The vision is to make Ethereum "feel like one chain again." This relies on advancements in native account abstraction (like EIP-7702) and intent-based architectures (Open Intents Framework), where users declare desired outcomes, and solvers handle the complex cross-chain execution. Furthermore, shortening Ethereum's finality time from minutes to seconds is crucial, as it underpins trust between chains for bridges, stablecoins, and cross-chain applications. Perhaps the most provocative idea is that Ethereum L1 itself could become a form of "its own Rollup." As zkEVM and proof systems mature, high-performance nodes could execute transactions and generate validity proofs. Regular validators would then verify these proofs instead of re-executing all transactions. This blurs the traditional L1/L2 hierarchy, making "Rollup" more of a general execution-verification architecture. Native Rollup aims to integrate L2 validation more directly into the Ethereum protocol, allowing L2s to inherit L1's security more fully and move away from reliance on security councils. In the end, L2s are not destined to replace L1 or be made obsolete by it. The likely future is a unified system where diverse execution environments—each optimized for specific use cases like DeFi, gaming, or privacy—coexist. They will share a common foundation of security, liquidity, and verifiable state, seamlessly connected to restore a cohesive user experience. The next phase for Ethereum is not just about scaling through separation, but about intelligently reintegrating what was separated back into a coherent whole.

链捕手43m ago

Long-Divided Must Unite, Long-United Must Divide: When L1 Becomes Its Own Rollup, What Is Ethereum's Endgame?

链捕手43m ago

Trading

Spot

Hot Articles

The Cornerstone of the Autonomous AI Economy: How Talus is Reshaping On-Chain Intelligent Agents

Talus is a decentralized AI Agent framework built on the Sui, designed to solve the structural problems of current AI systems: centralization, opacity, and a lack of native economic identity.

43.3k Total ViewsPublished 2026.03.18Updated 2026.03.18

The Cornerstone of the Autonomous AI Economy: How Talus is Reshaping On-Chain Intelligent Agents

In-depth Analysis of AI and Crypto: The Era of Symbiosis between Algorithms and Ledgers

By 2026, the integration of artificial intelligence and cryptocurrency has advanced from proof-of-concept to a new stage of "system-level integration".

2.8k Total ViewsPublished 2026.03.26Updated 2026.03.26

In-depth Analysis of AI and Crypto: The Era of Symbiosis between Algorithms and Ledgers

U.S. Equity TradFi Assets: Traditional Finance as a Steady Anchor Amid the AI IPO Boom

In 2026, the U.S. IPO market has regained momentum.

36.1k Total ViewsPublished 2026.07.08Updated 2026.07.08

U.S. Equity TradFi Assets: Traditional Finance as a Steady Anchor Amid the AI IPO Boom

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of AI (AI) are presented below.