Last Update: 11/21/2025
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These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They assist scientists by conducting experiments and testing chemicals to ensure products are safe and work well.
Summary
The career of a Chemical Technician is labeled as "Evolving" because AI and machines are starting to assist with routine lab tasks like data analysis and sample preparation, making these processes faster and safer. However, technicians are still crucial for their hands-on work, problem-solving skills, and ability to adapt to new experiments.
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Learn more about how you can thrive in this position
Summary
The career of a Chemical Technician is labeled as "Evolving" because AI and machines are starting to assist with routine lab tasks like data analysis and sample preparation, making these processes faster and safer. However, technicians are still crucial for their hands-on work, problem-solving skills, and ability to adapt to new experiments.
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AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Anthropic's Economic Index
AI Resilience
Will Robots Take My Job
Automation Resilience
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
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Analysis of Current AI Resilience
Chemical Technicians
Updated Quarterly • Last Update: 11/21/2025

State of Automation & Augmentation
In modern labs, some routine tasks are getting help from AI and machines, but people still do a lot of the work. For example, special instruments can now mix and prepare samples by robot – an autosampler can pipette, add reagents, heat, mix and dilute liquids automatically [1]. In analysis, AI software can sift through data and spot patterns that would take a human much longer.
One article notes AI models can recognize peaks in chromatography data and even predict compound properties, speeding up what used to be a slow, careful task [2]. And new “AI lab copilots” can suggest next steps in an experiment or highlight hidden clues that a person might miss [3].
Still, many parts of the job remain hands-on. Machines can automate boring or dangerous steps (like precise pipetting or handling toxic chemicals), but they often work under a person’s supervision. Cleaning and sterilizing glassware usually still means using lab washers or autoclaves with human setup.
Ordering supplies is often done with computer support (inventory systems), but a technician usually checks and approves orders. Training new staff and surveying safety is hard to fully automate because it needs judgment and teaching by experienced technicians. In short, labs today have some robots and smart tools, but chemical technicians are still very much involved in most steps [2] [3].

AI Adoption
Whether labs quickly get new AI tools depends on many things. One big factor is cost and benefit. Sophisticated lab robots and AI software can be very expensive.
Labs must decide if buying them will save more money or time than just hiring people. For example, analysts say labs weigh things like reduced labor costs, fewer errors, or 24/7 operation against the system’s price [1] [3]. In some cases, automation pays off: one report said a company cut an experiment from eight days to six hours by combining AI planning with a remote “cloud” lab [3].
But those systems usually need many experiments or hazardous materials work to justify their cost [1] [1].
Another reason is flexibility. Many lab processes change often for new experiments, so building a robot to do a lot of different tasks can be hard. Experts note that if a procedure wasn’t designed for automation, it must be rethought and tested before robots can do it [1].
Also, human skills still matter a lot: technicians must understand the science, fix unexpected problems, and keep labs safe. Social and ethical factors play a role too; people often trust a trained person more than a black-box system, and rules around handling chemicals can slow full automation.
Overall, AI and machines in chemistry labs are growing slowly. They tend to augment technicians (helping with data or routine steps) rather than replace them entirely. Young people entering the field can learn these new tools to do their jobs more safely and efficiently.
Importantly, human skills like troubleshooting, creativity, and teamwork remain valuable; AI might change how we work, but chemical technicians will still be needed to guide and check those systems [2] [3].

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Median Wage
$57,790
Jobs (2024)
57,000
Growth (2024-34)
+3.7%
Annual Openings
6,700
Education
Associate's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Set up and conduct chemical experiments, tests, and analyses, using techniques such as chromatography, spectroscopy, physical or chemical separation techniques, or microscopy.
Provide and maintain a safe work environment by participating in safety programs, committees, or teams and by conducting laboratory or plant safety audits.
Direct or monitor other workers producing chemical products.
Develop new chemical engineering processes or production techniques.
Design or fabricate experimental apparatus to develop new products or processes.
Monitor product quality to ensure compliance with standards and specifications.
Conduct chemical or physical laboratory tests to assist scientists in making qualitative or quantitative analyses of solids, liquids, or gaseous materials.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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