Veterinary Technologists and Technicians
The core of this work stays human, for now.
Most of this occupation's activities don't appear in measured AI usage. The paperwork fringe can be accelerated, but the core of the work stays human for now.
Where this occupation sits among all 785 measured. Bands are quintiles of the real distribution. Applicability measures task overlap with observed AI usage. It is not a probability of job loss.
What this job involves
Perform medical tests in a laboratory environment for use in the treatment and diagnosis of diseases in animals. Prepare vaccines and serums for prevention of diseases. Prepare tissue samples, take blood samples, and execute laboratory tests, such as urinalysis and blood counts. Clean and sterilize instruments and materials and maintain equipment and machines. May assist a veterinarian during surgery.
Where AI overlaps this work, activity by activity
The occupation's most important work activities (O*NET weights, normalized to this set), each with its measured AI performance across 200,000 real conversations: how often AI is used for it, how well it completes it, and how much of the activity it covers.
| Work activity | Share of role | AI performance |
|---|---|---|
| Assist healthcare practitioners during medical procedures. | 20.0% | Not observed 0.00 |
| Administer basic health care or medical treatments. | 16.4% | Not observed 0.00 |
| Monitor health conditions of humans or animals. | 13.9% | Not observed 0.00 |
| Prepare mixtures or solutions. | 8.7% | High overlap 0.66 |
| Clean medical equipment or facilities. | 8.2% | Not observed 0.00 |
| Maintain health or medical records. | 8.1% | Not observed 0.00 |
| Administer diagnostic tests to assess patient health. | 4.7% | Not observed 0.00 |
| Administer emergency medical treatment. | 4.1% | Not observed 0.00 |
| Collect environmental or biological samples. | 4.0% | Not observed 0.00 |
| Prepare specimens or materials for testing. | 4.0% | Not observed 0.00 |
| Treat injuries, illnesses, or diseases. | 4.0% | Not observed 0.00 |
| Explain medical information to patients or family members. | 3.9% | High overlap 0.83 |
"Not observed" is a measurement, not missing data: that activity does not meaningfully appear in the usage sample. AI performance = completion × scope × coverage (user-goal view), 0–1.
What drives this score: the biggest AI-overlapped activity in this role is prepare mixtures or solutions; the most important activity AI is not observed doing is assist healthcare practitioners during medical procedures. The plan below is built around exactly that split.
Protect the core, automate the fringe.
Next 30 days
- Automate the fringe. The small text-and-paperwork layer of this job, Prepare mixtures or solutions, is worth handing to AI now; it's the least valuable part of your week anyway.
- Confirm your reality. If your actual role involves far more screen work than the occupation average, the personalization above will say so.
Next 90 days
- Convert resilience into rate. Work like Assist healthcare practitioners during medical procedures is measured as beyond current AI: supply of it doesn't scale with software. Skill up and price accordingly.
- Let AI carry your admin. Quotes, scheduling, follow-ups, records: the overhead around the core work is where the tools pay off for you.
The longer game
- Watch robotics, not chatbots. For low-exposure occupations the relevant automation frontier is usually physical or regulatory, which this dataset deliberately doesn't measure. Track your industry, not AI headlines.
- Build the customer asset. Reputation and repeat relationships are the moat generative AI cannot cross. Invest there.
- AI applicability score and per-activity metrics: Tomlinson, Jaffe, Wang, Counts & Suri, Working with AI: Measuring the Applicability of Generative AI to Occupations, Microsoft Research 2025 (arXiv:2507.07935), data CC BY 4.0.
- Occupation description and activity structure: O*NET 30.0 Database, USDOL/ETA, CC BY 4.0.
- Bands, personalization weights and action plans are JobRiskAI editorial layers; method and limitations on the methodology page.