A new poll from Nature has uncovered a pervasive sense of fear of missing out — or AI FOMO — among the global scientific community. The survey indicates that many researchers worry their peers are moving faster to integrate artificial intelligence into their workflows, leaving those who hesitate at a professional disadvantage.
Conducted by the prestigious journal, the poll highlights how AI tools are reshaping laboratory practices, data analysis, and publishing. Researchers across disciplines report feeling pressured to adopt these technologies, even when they lack sufficient training or clarity about their long-term implications.
While the survey does not disclose exact response counts, it paints a picture of an anxious scientific workforce. A majority of respondents acknowledged that AI skills are becoming essential for career advancement, yet a significant number admitted they feel unprepared to use them effectively.
The findings raise questions about how institutions should support scientists in navigating this technological shift. Critics warn that unchecked FOMO could lead to hasty adoption of unreliable AI methods, potentially compromising research integrity.
Some experts counter that the poll may overstate the urgency, arguing that AI is not always superior to traditional methods. They caution against rushing into tools that have yet to be rigorously validated in many scientific contexts.