Will AI replace Quality Control Analysts?

AI can do 53% of the work Quality Control Analysts do at least twice as fast. People already use it for 1 of their 26 tasks, while 18 more are ready but barely used so far. Robots can technically handle 5 physical tasks. 2 still need a person.

AI is already doing this1 · 6% of time

People already use AI for these tasks in real work, based on Anthropic's analysis of how Claude is used.

  • Compile laboratory test data and perform appropriate analyses.Mostly automated6% of time

AI could do this next18 · 47% of time

AI can speed these up by at least half, but real use has not caught up yet. These are next in line.

  • Complete documentation needed to support testing procedures, including data capture forms, equipment logbooks, or inventory forms.9% of time
  • Interpret test results, compare them to established specifications and control limits, and make recommendations on appropriateness of data for release.6% of time
  • Write technical reports or documentation, such as deviation reports, testing protocols, and trend analyses.4% of time
  • Identify and troubleshoot equipment problems.3% of time
  • Perform validations or transfers of analytical methods in accordance with applicable policies or guidelines.3% of time
  • Participate in out-of-specification and failure investigations and recommend corrective actions.3% of time
  • Monitor testing procedures to ensure that all tests are performed according to established item specifications, standard test methods, or protocols.3% of time
  • Investigate or report questionable test results.3% of time
  • Identify quality problems and recommend solutions.3% of time
  • Train other analysts to perform laboratory procedures and assays.1% of time
  • Evaluate new technologies and methods to make recommendations regarding their use.1% of time
  • Develop and qualify new testing methods.1% of time
  • Coordinate testing with contract laboratories and vendors.1% of time
  • Write or revise standard quality control operating procedures.1% of time
  • Supply quality control data necessary for regulatory submissions.1% of time
  • Review data from contract laboratories to ensure accuracy and regulatory compliance.1% of time
  • Prepare or review required method transfer documentation including technical transfer protocols or reports.1% of time
  • Evaluate analytical methods and procedures to determine how they might be improved.1% of time

Robots can technically do this5 · 43% of time

Physical tasks that today's robots can perform in at least some settings. Robots are cost competitive for very few tasks so far, so this change moves slower.

  • Conduct routine and non-routine analyses of in-process materials, raw materials, environmental samples, finished goods, or stability samples.Robots: purpose built settings30% of time
  • Calibrate, validate, or maintain laboratory equipment.Robots: purpose built settings5% of time
  • Perform visual inspections of finished products.Robots: purpose built settings3% of time
  • Ensure that lab cleanliness and safety standards are maintained.Robots: purpose built settings3% of time
  • Receive and inspect raw materials.Robots: purpose built settings3% of time

Still needs a person2 · 4% of time

No real AI use, no proven AI speedup and no robot that can do it yet. This is the part of the job to build on.

  • Serve as a technical liaison between quality control and other departments, vendors, or contractors.3% of time
  • Participate in internal assessments and audits as required.1% of time

Your week is not the average

Describe what you actually do and get a personal report: your own tasks, what AI can already do, what stays yours and a 90 day plan.

Get my personal report

What this means

AI can do most of this work faster, but a real part of the job still needs a person. Real use is still behind at 6 out of 100, so the change here is only getting started. The people who learn which tasks to hand off will pull ahead.

What to do next

  • Do the 1 task AI is already handling with AI yourself. Your peers already are, and it is quickly becoming the baseline.
  • Get ahead on the 18 tasks AI could do next. These move as tools improve, so learning them early pays off.
  • Keep an eye on the 5 physical tasks robots can technically do. Cost keeps most robots out of work today, so this shift is slower.
  • Build on the 2 tasks that stay human. This is where your judgment, skill and relationships matter most.
Forensic Science Technicians37%Remote Sensing Technicians81%Environmental Science and Protection Technicians, Including Health53%Forest and Conservation Technicians54%Geological Technicians, Except Hydrologic Technicians51%Nuclear Technicians47%

Get the weekly brief

One short email a week on how AI is changing work, including jobs like this one.

Check another job