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\t\t\tIllustration by Tag Hartman-Simkins \/ Futurism. Source: Getty Images<\/p>\n
Scientists are a skeptical bunch \u2014 it\u2019s in the job description. But when it comes to AI, researchers are growing increasingly mistrustful of the tech\u2019s capabilities.<\/p>\n
In a preview of its 2025 report<\/a> on the impact of the tech on research, the academic publisher Wiley released preliminary findings on attitudes toward AI. One startling takeaway: the report found that scientists expressed less trust in AI than they did in 2024, when it was decidedly less advanced.<\/p>\n For example, in the 2024 iteration of the survey, 51 percent of scientists polled were worried about potential \u201challucinations,\u201d a widespread issue<\/a> in which large language models (LLMs) present completely fabricated information as fact. That number was up to a whopping 64 percent in 2025, even as AI use among researchers surged from 45 to 62 percent.<\/p>\n Anxiety over security and privacy were up 11 percent from last year, while concerns over ethical AI and transparency also ticked up.<\/p>\n In addition, there was a massive drop-off in hype compared to last year, when buzzy AI research startups dominated headline<\/a> after headline<\/a>. In 2024, scientists surveyed said they believed AI was already surpassing human abilities in over half of all use cases. In 2025, that belief dropped off a cliff, falling to less than a third.<\/p>\n These findings follow previous research<\/a> which concluded that the more people learn about how AI works, the less they trust it. The opposite was also true \u2014 AI\u2019s biggest fanboys tended to be those who understood the least about the tech.<\/p>\n While more studies are needed to show how widespread this phenomena is, it\u2019s not hard to guess why professionals would start to have doubts about their algorithmic assistants.<\/p>\n For one thing, those hallucinations are a serious issue. They\u2019ve already caused major turmoil in courts of law<\/a>, medical practice<\/a>, and even travel<\/a>. It\u2019s not exactly a simple fix either; in May, testing showed that AI models were hallucinating more<\/a> even as they technically became more powerful.<\/p>\n There\u2019s also the tricky issue of AI as a tool for profit. Experts say that users roundly prefer confident LLMs to ones that admit when they can\u2019t find data or deliver an accurate answer \u2014 even when that information is totally made up. If a company like OpenAI were to stamp out sloppy hallucinations for good<\/a>, it would scare off users in droves.<\/p>\n So if you\u2019re not sure what to make of all the AI hype, ask a researcher \u2014 chances are, they\u2019ll be happy to burst your bubble.<\/p>\n