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Top Scientists Admit AI Now Does Most of Their Thinking
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Top Scientists Admit AI Now Does Most of Their Thinking

At a closed-door meeting in Princeton, leading researchers said agentic AI tools now handle up to 90% of their intellectual workload—forcing a reckoning over who, or what, drives scientific discovery.

2/5/20265 min read23 views

Scientists Admit Growing Role of AI in Their Work

At a closed-door meeting at Princeton University, leading experts in science and technology acknowledged that AI-based tools now perform up to 90% of their intellectual work. This is forcing them to seriously rethink who or what is actually driving scientific discoveries in the modern world.

According to the meeting participants, modern analytical and generative AI systems have taken on the bulk of the researchers' work, including data analysis, hypothesis building, drafting of articles, and even generation of new ideas. This reflects the rapid progress in AI, which allows machines to perform increasingly complex intellectual tasks.

For the Russian audience, it is important to note that this trend is also observed in our country. Domestic scientists are also increasingly using AI tools in their work, which helps them increase the efficiency and speed of research. However, this also raises questions about responsibility, ethics, and the role of humans in the scientific process.

Conclusions and Prospects

It is clear that AI is already deeply integrated into the work of modern scientists and researchers. This opens up new opportunities to accelerate scientific progress, but at the same time, it calls into question the traditional understanding of the role of humans in the generation of knowledge.

According to experts, it is important to find a balance between using AI tools and maintaining the leading role of scientists in the process of discovery. It is necessary to develop clear ethical principles and accountability mechanisms to ensure that scientific achievements continue to reflect human creativity and intelligence, and not just the computational power of machines.

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