{"id":92605,"date":"2025-12-24T16:20:53","date_gmt":"2025-12-24T13:20:53","guid":{"rendered":"https:\/\/forklog.com\/en\/?p=92605"},"modified":"2025-12-24T16:25:13","modified_gmt":"2025-12-24T13:25:13","slug":"ai-identifies-key-fears-of-crypto-investors-in-2025","status":"publish","type":"post","link":"https:\/\/forklog.com\/en\/ai-identifies-key-fears-of-crypto-investors-in-2025\/","title":{"rendered":"AI Identifies Key Fears of Crypto Investors in 2025"},"content":{"rendered":"<p>Popular language models have identified the most frequent questions posed by cryptocurrency users in 2025, covering a range of topics from trading strategies to asset protection. The experiment was conducted by the editorial team at <a href=\"https:\/\/wublock.substack.com\/p\/what-did-crypto-users-care-about\">Wu Blockchain<\/a>.<\/p>\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"https:\/\/forklog.com\/wp-content\/uploads\/img-eb48c7672d76e280-1798596622450715.webp\" alt=\"Screenshot 2025-12-24 132052\" class=\"wp-image-272476\"\/><figcaption class=\"wp-element-caption\">Source: Wu Blockchain.<\/figcaption><\/figure>\n<p>The researchers employed ChatGPT, Grok, Perplexity, Claude, Gemini 3, and DeepSeek. To avoid duplicate data from search results, the models were prohibited from using real-time web searches. AI generated responses based on long-term discussion patterns embedded in their databases.<\/p>\n<p>Model focus areas:<\/p>\n<ul class=\"wp-block-list\">\n<li>ChatGPT took on the role of a trader, focusing on identifying the peak of the bull market, seeking &#8220;alpha,&#8221; and assessing structural risks of projects;<\/li>\n<li>Grok reflected social media narratives, highlighting the impact of <a href=\"https:\/\/forklog.com\/en\/news\/what-is-the-bitcoin-halving\">halving<\/a>, market phase debates, and capital inflow into <a href=\"https:\/\/forklog.com\/en\/news\/what-is-a-cryptocurrency-etf\">ETFs<\/a>;<\/li>\n<li>Claude adopted a cautious approach, emphasizing market entry timing, project scam checks, and risk management for newcomers;<\/li>\n<li>Gemini 3 delved into industrial trends, with top queries including <a href=\"https:\/\/forklog.com\/en\/news\/what-are-rwas-real-world-assets\">RWA<\/a>, the impact of regulation on personal assets, and competition among <a href=\"https:\/\/forklog.com\/en\/news\/what-is-a-layer%e2%80%912-solution-in-blockchain\">L2<\/a>, <a href=\"https:\/\/forklog.com\/en\/news\/what-is-solana-sol\">Solana<\/a>, and AI tokens;<\/li>\n<li>Perplexity and DeepSeek provided more general results akin to a search summary: price forecasts, fraud protection, and regulatory changes.<\/li>\n<\/ul>\n<p>Analysts observed that Chinese models tend to focus more on &#8220;hard&#8221; variables such as cycles, halving, and regulation. They also noted a dependency on AI capability: advanced models provide more structured answers, while less sophisticated ones tend to generalize about prices and security.<\/p>\n<p>Overall, all queries converge on three areas: cycle positioning, profit paths, and risk boundaries.\u00a0<\/p>\n<p>Earlier, a team of humans <a href=\"https:\/\/forklog.com\/en\/news\/human-team-defeated-by-ai-in-aster-trading-tournament\">was outperformed<\/a> by artificial intelligence in a trading tournament hosted by Aster.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Popular language models have identified the most frequent questions posed by cryptocurrency users in 2025, covering a range of topics.<\/p>\n","protected":false},"author":1,"featured_media":92606,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"select":"1","news_style_id":"1","cryptorium_level":"","_short_excerpt_text":"AI highlights crypto investors' concerns for 2025, from trading strategies to asset protection.","creation_source":"","_metatest_mainpost_news_update":false,"footnotes":""},"categories":[3],"tags":[438,1269],"class_list":["post-92605","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-and-analysis","tag-artificial-intelligence","tag-cryptocurrencies"],"aioseo_notices":[],"amp_enabled":true,"views":"174","promo_type":"1","layout_type":"1","short_excerpt":"AI highlights crypto investors' concerns for 2025, from trading strategies to asset protection.","is_update":"","_links":{"self":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/92605","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/comments?post=92605"}],"version-history":[{"count":1,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/92605\/revisions"}],"predecessor-version":[{"id":92607,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/92605\/revisions\/92607"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/media\/92606"}],"wp:attachment":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/media?parent=92605"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/categories?post=92605"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/tags?post=92605"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}