Chemists

Chemistry labs are starting to use AI and robots for routine tasks, but humans still do most of the heavy thinking. For example, chemists spend a lot of time “analyzing …compounds using chromatography, spectroscopy,” and other instruments ^[1]. Now smart software is speeding up this step: one industry magazine reports that AI can improve method setups and automatically detect peaks in chromatography data, letting scientists see results faster ^[2].

In big drug companies, robots can even mix chemicals and run experiments. During COVID, many labs actually added automation so chemists working from home could “program a robot to keep the lab working” ^[3]. Still, these systems require a person to plan and check the work.

Every reaction is unique, so chemists must set up the experiment and make sure everything worked right ^[4]. Simple chores like ordering chemicals often use basic inventory software today, but a person usually oversees it. In short, AI and machines help with slow or repetitive parts of a chemist’s job, but people are still needed for most experiments, troubleshooting, and decision-making.

The speed of adopting AI in chemistry varies. Large companies see big benefits: automation experts say it’s now “pivotal” to stay competitive in research and quality control ^[3]. For example, major firms like GSK or Pfizer already use automated labs with many robots ^[3].

Falling costs of computing and better data tools also make AI more attractive. On the other hand, chemical research is highly specialized. As one review warns, setting up an automated experiment is “rarely automatic” because each process is different ^[4].

Expensive equipment and strict safety rules (especially in drugs) mean new AI methods have to be tested carefully. Economically, labs will invest where it really saves time or money – often for big studies or when labor is scarce. Socially, chemists value hands-on and creative work, so new AI tools are seen more as helpful assistants than replacements.

Overall, experts say AI is “changing the landscape of chemistry” by letting scientists explore more possibilities ^[4]. In the future, AI can take over routine data and control tasks, while human chemists use their judgment, creativity, and teamwork – skills machines cannot match ^{[4] [2]}. This means chemists will still be important for designing experiments, interpreting unusual results, and making new discoveries.