Identify and quantify drugs or poisons found in biological fluids or tissues, in foods, or at crime scenes.

“Identify and quantify drugs or poisons found in biological fluids or tissues, in foods, or at crime scenes.” is a supplemental task performed by Forensic Science Technicians. Among the occupation's 21 rated tasks, workers place it 4th by importance (#18 most important). About 34% of workers say it is relevant to their job.

This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.

Work activities this task rolls up to

O*NET groups concrete tasks into broader work activities shared across many occupations.

• Test characteristics of materials or products. in Inspecting Equipment, Structures, or Materials
• Analyze biological or chemical substances or related data. in Analyzing Data or Information

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E0. No direct exposure — current language models give little or no time savings on this task.

Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.00. Automation potential label: T1.

How AI is actually used on this kind of task

The Anthropic Economic Index observes how people actually use AI on tasks like this one across millions of real conversations.

• 0.003% share of AI-use records mapped to this task
• 85% of interactions still needed a human in the loop

Observed AI use describes people choosing to use AI as a tool on this kind of task today. It is augmentation and assistance, not a measure of jobs replaced.

Other tasks in this occupation

• Collect evidence from crime scenes, storing it in conditions that preserve its integrity. · importance 4.9
• Keep records and prepare reports detailing findings, investigative methods, and laboratory techniques. · importance 4.8
• Use photographic or video equipment to document evidence or crime scenes. · importance 4.7
• Testify in court about investigative or analytical methods or findings. · importance 4.5
• Use chemicals or other substances to examine latent fingerprint evidence and compare developed prints to those of known persons in databases. · importance 4.5
• Visit morgues, examine scenes of crimes, or contact other sources to obtain evidence or information to be used in investigations. · importance 4.3
• Train new technicians or other personnel on forensic science techniques. · importance 4.3
• Operate and maintain laboratory equipment and apparatus. · importance 4.1
• Collect impressions of dust from surfaces to obtain and identify fingerprints. · importance 4.1
• Reconstruct crime scenes to determine relationships among pieces of evidence. · importance 4.1
• Determine types of bullets and specific weapons used in shootings. · importance 4.0
• Review forensic analysts' reports for technical merit. · importance 4.0
• Interpret laboratory findings or test results to identify and classify substances, materials, or other evidence collected at crime scenes. · importance 4.0
• Examine and analyze blood stain patterns at crime scenes. · importance 3.9

See all tasks on the Forensic Science Technicians page.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-task-1578,
  title  = {Identify and quantify drugs or poisons found in biological fluids or tissues, in foods, or at crime scenes.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-1578}
}