# AI highlights the main fears of crypto investors in 2025
Popular language models have identified the most common questions from cryptocurrency users in 2025. They cover various areas: from trading strategies to asset protection. The experiment was conducted by Wu Blockchain editorial team.
Source: Wu Blockchain. The researchers used ChatGPT, Grok, Perplexity, Claude, Gemini 3, and DeepSeek. To avoid identical data from search engine results, the models were restricted from using real-time web searches. The AI generated responses based on patterns from long-term discussion datasets embedded in their databases.
Model focus areas:
ChatGPT took on the role of a trader. Its main topics include identifying market peaks, finding “alpha,” and structural project risks;
Grok reflected social media narratives. It highlighted the impact of halving, debates about market phases, and capital inflows into ETFs;
Claude adopted a cautious approach. The model focused on timing market entry, verifying projects for scams, and risk management for beginners;
Gemini 3 delved into industry trends. Top queries included RWA, the influence of regulation on personal assets, and competition between L2, Solana, and AI tokens;
Perplexity and DeepSeek provided more general results, similar to search summaries: price forecasts, fraud protection, and regulatory changes.
Analysts noted that Chinese models tend to focus more on “hard” variables: cycles, halving, and regulation. They also observed a dependency on AI power: advanced models structure responses more specifically, while weaker ones tend to cover general topics about prices and security.
Overall, all queries boil down to three areas: positioning within the cycle, ways to profit, and risk boundaries.
Recall that a team of humans lost to artificial intelligence in the trader tournament organized by Aster.
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AI highlights the main fears of crypto investors in 2025 - ForkLog: cryptocurrencies, AI, singularity, the future
Popular language models have identified the most common questions from cryptocurrency users in 2025. They cover various areas: from trading strategies to asset protection. The experiment was conducted by Wu Blockchain editorial team.
Model focus areas:
Analysts noted that Chinese models tend to focus more on “hard” variables: cycles, halving, and regulation. They also observed a dependency on AI power: advanced models structure responses more specifically, while weaker ones tend to cover general topics about prices and security.
Overall, all queries boil down to three areas: positioning within the cycle, ways to profit, and risk boundaries.
Recall that a team of humans lost to artificial intelligence in the trader tournament organized by Aster.