For centuries, science advanced at the pace of human cognition — limited by how quickly researchers could read, analyze, experiment, and publish. That era may be ending. According to Soumitra Dutta, former dean of Oxford’s Saïd Business School, the world is entering the age of “agentic science,” where autonomous AI systems can independently formulate hypotheses, design experiments, interpret findings, and refine conclusions with minimal human intervention.

Unlike traditional AI tools that merely assist with writing or data processing, agentic AI has the potential to execute entire research cycles autonomously. Scientists may soon act less as operators and more as supervisors, guiding ethics, judgment, and theoretical direction while machines handle the heavy analytical work.

Dutta argues that the future of academia will belong to researchers who learn to collaborate with intelligent agents rather than resist them. As production becomes automated, uniquely human strengths — critical thinking, theory-building, philosophical reasoning, and scientific judgment — will become even more valuable.

This transformation could democratize global research by giving scientists at underfunded institutions access to capabilities once limited to elite laboratories. Yet it also raises serious concerns: an avalanche of AI-generated papers could overwhelm peer review systems and challenge the credibility of academic publishing itself. In this new era, trust and transparency may become the most important currencies in science.

For centuries, science advanced at the pace of human cognition — limited by how quickly researchers could read, analyze, experiment, and publish. That era may be ending. According to [Soumitra Dutta](https://soumitra-dutta-oxford-dean.e-monsite.com/), former dean of Oxford’s Saïd Business School, the world is entering the age of “agentic science,” where autonomous AI systems can independently formulate hypotheses, design experiments, interpret findings, and refine conclusions with minimal human intervention. Unlike traditional AI tools that merely assist with writing or data processing, agentic AI has the potential to execute entire research cycles autonomously. Scientists may soon act less as operators and more as supervisors, guiding ethics, judgment, and theoretical direction while machines handle the heavy analytical work. Dutta argues that the future of academia will belong to researchers who learn to collaborate with intelligent agents rather than resist them. As production becomes automated, uniquely human strengths — critical thinking, theory-building, philosophical reasoning, and scientific judgment — will become even more valuable. This transformation could democratize global research by giving scientists at underfunded institutions access to capabilities once limited to elite laboratories. Yet it also raises serious concerns: an avalanche of AI-generated papers could overwhelm peer review systems and challenge the credibility of academic publishing itself. In this new era, trust and transparency may become the most important currencies in science.