Will AI replace Radio Frequency Identification Device Specialists?
AI reaches some of this job’s work, but most of it stays with people.
38/100
Moderate exposure
More exposed to AI than 59% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 66% of the work
What the job involves
Design and implement radio frequency identification device (RFID) systems used to track shipments or goods.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(14)
- Integrate tags, readers, or software in radio frequency identification device (RFID) designs.
- Perform systems analysis or programming of radio frequency identification device (RFID) technology.
- Test radio frequency identification device (RFID) software to ensure proper functioning.
- Provide technical support for radio frequency identification device (RFID) technology.
- Determine means of integrating radio frequency identification device (RFID) into other applications.
and 9 more
Out of reach(7)
- Identify operational requirements for new systems to inform selection of technological solutions.
- Test tags or labels to ensure readability.
- Install, test, or maintain radio frequency identification device (RFID) systems.
- Verify compliance of developed applications with architectural standards and established practices.
- Collect data about existing client hardware, software, networking, or key business processes to inform implementation of radio frequency identification device (RFID) technology.
and 2 more
Also called
RF Engineer (Radio Frequency Engineer) · RF Engineer · RFID Technician (Radio Frequency Identification Device Technician) · RFID Technician · Deployment Engineer · Electro Magnetic Compatibility Test Engineer · RFID Engineer (Radio Frequency Identification Device Engineer) · RFID Systems Engineer (Radio Frequency Identification Device Systems Engineer)
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics