Share and intensity of work current AI systems can materially affect.
SOC 17-3028
Calibration Technologists and Technicians AI displacement risk
Calibration technologists test and adjust measurement devices against known standards. Automated calibration benches run the repetitive comparisons, but traceability documentation, field calibration of installed instruments, and judgment about anomalous drift keep technicians in the loop.
Likely potential for exposed tasks to move to software after workflow integration.
Every new sensor in a factory, lab, or aircraft eventually needs calibration: the sensor economy expands this role's customer base. Regulatory traceability requirements make the documentation and sign-off human-accountable.
Distribution
Where Calibration Technologists and Technicians sits across 620 tracked roles
Displacement pressure 34 — higher than 56% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
14 O*NET task statements matched to SOC 17-3028. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $67,820 (May 2025, US national). The latest BLS row matched SOC 17-3028.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Calibration Technologists and Technicians
SOC 17-3028 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 34/100 role score and are not an occupation forecast.
+0.4% group wage
-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.
Economy-wide: +1.6% GDP and 3.9% unemployment.
-0.3% group wage
-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.
Economy-wide: +8.3% GDP and 4.6% unemployment.
-11.5% group wage
-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Calibration Technologists and Technicians
The current evidence import matched 14 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks14
SOC17-3028
- Core task / ID 22095
Maintain or repair measurement devices or equipment used for calibration testing.
- Core task / ID 22100
Verify part dimensions or clearances using precision measuring instruments to ensure conformance to specifications.
- Core task / ID 22091
Conduct calibration tests to determine performance or reliability of mechanical, structural, or electromechanical equipment.
- Core task / ID 22099
Read blueprints, schematics, diagrams, or technical orders.
- Core task / ID 22101
Visually inspect equipment to detect surface defects.
- Core task / ID 22090
Calibrate devices by comparing measurements of pressure, temperature, humidity, or other environmental conditions to known standards.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Calibrate devices against known standards
Exposure 34, automation 17%, augmentation 52%.
O*NET evidence: Calibrate devices by comparing measurements of pressure, temperature, humidity, or othe... (ID 22090)
Analyze test data to identify calibration requirements
Exposure 48, automation 25%, augmentation 60%.
O*NET evidence: Analyze test data to identify defects or determine calibration requirements. (ID 22088)
Maintain and repair measurement devices
Exposure 28, automation 12%, augmentation 46%.
O*NET evidence: Maintain or repair measurement devices or equipment used for calibration testing. (ID 22095)
Develop new calibration methods and techniques
Exposure 40, automation 18%, augmentation 56%.
O*NET evidence: Develop new calibration methods or techniques based on measurement science, analyses, o... (ID 22092)
TaskExposureAutomationAugmentation
Calibrate devices against known standards3417%52%
Analyze test data to identify calibration requirements4825%60%
Maintain and repair measurement devices2812%46%
Develop new calibration methods and techniques4018%56%
Transition pathways
Adjacent moves that preserve existing skills
role redesign
ModerateMetrology Lab Supervisor
Training horizon: 6-12 months. Skill overlap 66. Wage preservation signal 118.
- Lead calibration schedules
- Own ISO 17025 compliance
- Manage reference standards
credentialed transition
ModerateQuality Engineer
Training horizon: 24-36 months. Skill overlap 58. Wage preservation signal 126.
- Complete an engineering degree
- Master measurement-system analysis
- Lead audit programs
Comparison guides
Compare the next move before you commit
6-12 months
Calibration Technologists and Technicians to Metrology Lab Supervisor
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Calibration Technologists and Technicians into Metrology Lab Supervisor.
24-36 months
Calibration Technologists and Technicians to Quality Engineer
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Calibration Technologists and Technicians into Quality Engineer.
What the AI risk score means for Calibration Technologists and Technicians
The displacement pressure score for Calibration Technologists and Technicians is 34. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Analyze test data to identify calibration requirements carries 25% automation pressure, while Analyze test data to identify calibration requirements carries 60% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $67,820 (May 2025, US national). Employment context: Metrology role growing with the sensor economy. Typical education: Associate degree or technical training common.
Wage vulnerability is 30, while transition feasibility is 64. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Moderate displacement pressure
- Benches automate routine comparisons
- Traceability sign-off stays human
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Calibration Technologists and Technicians, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Precision measurement
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Traceability documentation
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Test equipment
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Drift analysis
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Metrology Lab Supervisor, such as lead calibration schedules.
- By 90 days, compare internal openings and external postings for Metrology Lab Supervisor or Quality Engineer and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Calibration Technologists and Technicians
Will AI replace Calibration Technologists and Technicians?
Calibration technologists test and adjust measurement devices against known standards. Automated calibration benches run the repetitive comparisons, but traceability documentation, field calibration of installed instruments, and judgment about anomalous drift keep technicians in the loop. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Calibration Technologists and Technicians work are most exposed to AI?
Analyze test data to identify calibration requirements and Develop new calibration methods and techniques show the strongest automation pressure in this model. Analyze test data to identify calibration requirements and Develop new calibration methods and techniques are better treated as AI-augmented work.
What should Calibration Technologists and Technicians learn next?
Start with Precision measurement, Traceability documentation, Test equipment. The most practical adjacent paths in this model are Metrology Lab Supervisor and Quality Engineer.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
OECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics