AI exposure by occupation, O*NET 17-2072.01
Will AI replace Radio Frequency Identification Device Specialists?
Radio Frequency Identification Device Specialists: AI can already handle 2 of 21 tasks; the work mostly needs a frontier-tier model.
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Every task, scored
The 21 tasks O*NET 30.3 lists for Radio Frequency Identification Device Specialists, from most to least exposed. 2 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Test tags or labels to ensure readability. | Estimated | Standard | |
| Verify compliance of developed applications with architectural standards and established practices. | Estimated | Standard | |
| Identify operational requirements for new systems to inform selection of technological solutions. | Estimated | Frontier | |
| Perform systems analysis or programming of radio frequency identification device (RFID) technology. | Estimated | Frontier | |
| Test radio frequency identification device (RFID) software to ensure proper functioning. | Estimated | Standard | |
| Select appropriate radio frequency identification device (RFID) tags and determine placement locations. | Estimated | Frontier | |
| Perform site analyses to determine system configurations, processes to be impacted, or on-site obstacles to technology implementation. | Estimated | Standard | |
| Determine means of integrating radio frequency identification device (RFID) into other applications. | Estimated | Frontier | |
| Provide technical support for radio frequency identification device (RFID) technology. | Estimated | Frontier | |
| Collect data about existing client hardware, software, networking, or key business processes to inform implementation of radio frequency identification device (RFID) technology. | Estimated | Standard | |
| Determine usefulness of new radio frequency identification device (RFID) technologies. | Estimated | Standard | |
| Read current literature, attend meetings or conferences, or talk with colleagues to stay abreast of industry research about new technologies. | Estimated | Standard | |
| Document equipment or process details of radio frequency identification device (RFID) technology. | Estimated | Efficient | |
| Define and compare possible radio frequency identification device (RFID) solutions to inform selection for specific projects. | Estimated | Standard | |
| Create simulations or models of radio frequency identification device (RFID) systems to provide information for selection and configuration. | Estimated | Frontier | |
| Analyze radio frequency identification device (RFID)-related supply chain data. | Estimated | Standard | |
| Integrate tags, readers, or software in radio frequency identification device (RFID) designs. | Estimated | Frontier | |
| Develop process flows, work instructions, or standard operating procedures for radio frequency identification device (RFID) systems. | Estimated | Frontier | |
| Train users in details of system operation. | Estimated | Efficient | |
| Perform acceptance testing on newly installed or updated systems. | Estimated | Efficient | |
| Install, test, or maintain radio frequency identification device (RFID) systems. | Estimated | Efficient |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 21 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 21 of 21. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A frontier-tier model or lower covers 100% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 96,900
- Median annual wage
- $130,220
- Middle half of earners
- $101,680 to $167,670
- Projected change, 2024 to 2034
- +6.2%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034. BLS publishes these figures by SOC code, so O*NET occupations that share a SOC code show the same figures.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Electronics Engineers, Except Computer 60% skill overlap, about 14 months to move Exposure55
- Telecommunications Engineering Specialists 60% skill overlap, about 15 months to move Exposure60
- Microsystems Engineers 59% skill overlap, about 15 months to move Exposure55
- Electrical and Electronic Engineering Technologists and Technicians 58% skill overlap, about 15 months to move Exposure52
- Radio, Cellular, and Tower Equipment Installers and Repairers 58% skill overlap, about 15 months to move Exposure20
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Radio Frequency Identification Device Specialists and AI
Will AI replace Radio Frequency Identification Device Specialists?
AI already handles 2 of the 21 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 53 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +6.2% from 2024 to 2034.
What is the AI exposure of Radio Frequency Identification Device Specialists?
53 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 21 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 21 are estimated from each task's O*NET work activity.
Which Radio Frequency Identification Device Specialists tasks can AI already do?
The tasks with the highest exposure are: Test tags or labels to ensure readability; Verify compliance of developed applications with architectural standards and established practices. They are the tasks that reach 60 or more.
What AI model tier does this role need?
A frontier-tier model or lower covers 100% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Radio Frequency Identification Device Specialists, and what do they earn?
96,900 people in the United States, with a median annual wage of $130,220 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +6.2% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Radio Frequency Identification Device Specialists. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/radio-frequency-identification-device-specialists
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