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This paper surveys the rapid emergence and evolution of agentic systems in computational chemistry, highlighting a shift from human-assisted tasks to the autonomous design and execution of in silico experiments. The authors note that while current systems still require human oversight, the trend indicates a future where AI could operate as a fully autonomous scientist. The commoditization of specialized systems by generalist agents raises questions about the future role of human experts in the field.
The rise of agentic systems in computational chemistry suggests a looming paradigm shift towards fully autonomous AI scientists, challenging the relevance of human expertise.
We are witnessing an explosion of agentic systems for computational chemistry simulations: from half a dozen in 2024 to a dozen in 2025, and the current number approaches fifty, surveyed in this Perspective as of 8 August 2026. The capabilities of these agentic systems are shifting from assisting in performing a selection of computational tasks to autonomous design and execution of \textit{in silico} experiments, their analysis, and even manuscript writing. The ultimate destination is a fully autonomous AI scientist, where the entirety of computational chemistry is performed on a machine by a machine, without human supervision. While we are not there yet, and all reported systems currently involve a human in the loop, the trend is unmistakable. Even building specialized agentic systems for computational chemistry is increasingly commoditized by generalist agents, which may in the end replace the need for the specialized ones altogether, since adding a new capability will be as easy as asking AI to do it for you. Both the explosion in their number and the very limited adoption beyond their own developers point that way, and we close this Perspective on what it leaves us to do. The speed and scale of disruption agentic systems are bringing to computational chemistry leave many of us dumbfounded about the field's future and what we should spend our efforts on, as already established specialists, teachers, and students, and we have no answer.
