AI highlights the main fears of crypto investors in 2025 - ForkLog: cryptocurrencies, AI, singularity, the future

Froklog · 2025-12-24T13:28:38+00:00

In 2025, AI models identified key concerns of cryptocurrency investors, focusing on market cycles, profit strategies, and risk management. Insights varied by model, reflecting trading nuance and regulatory impacts on asset security, highlighting AI's evolving role in trading.

Froklog

2025-12-24 13:28:38

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# 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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