How exposed to AI is a Radio Frequency Identification Device Specialist?

Of the 21 tasks O*NET lists for radio frequency identification device specialists, 2 could be done in half the time with a chat window today. 7 cannot be sped up at all. Here is which.

Exposure means published research judged an AI could halve the time a task takes, at the same quality. It does not mean the task stops needing a person. How to read this


Also called
Deployment EngineerElectro Magnetic Compatibility Test EngineerRFID Engineer (Radio Frequency Identification Device Engineer)RFID Systems Engineer (Radio Frequency Identification Device Systems Engineer)Technical Support Engineer
Reachable today Needs software built first Cannot be sped up
21
tasks rated for this occupation
84%
hold a degree, from a survey of 22
107k
people do this job in the US
29 of 56
least protected in architecture and engineering

Every task, and what AI can do with it

These are O*NET's task statements for this occupation, exactly as written, sorted into the three bands by the ratings behind this report. Nothing has been reworded.

Reachable with a chat window today

2
  • Test radio frequency identification device (RFID) software to ensure proper functioning
  • Determine means of integrating radio frequency identification device (RFID) into other applications

Only with software built on top

12
  • Integrate tags, readers, or software in radio frequency identification device (RFID) designs
  • Perform systems analysis or programming of radio frequency identification device (RFID) technology
  • Select appropriate radio frequency identification device (RFID) tags and determine placement locations
  • Perform site analyses to determine system configurations, processes to be impacted, or on-site obstacles to technology implementation
  • Provide technical support for radio frequency identification device (RFID) technology
  • Determine usefulness of new radio frequency identification device (RFID) technologies
  • Develop process flows, work instructions, or standard operating procedures for radio frequency identification device (RFID) systems
  • Read current literature, attend meetings or conferences, or talk with colleagues to stay abreast of industry research about new technologies
  • Document equipment or process details of radio frequency identification device (RFID) technology
  • Define and compare possible radio frequency identification device (RFID) solutions to inform selection for specific projects
  • Create simulations or models of radio frequency identification device (RFID) systems to provide information for selection and configuration
  • Analyze radio frequency identification device (RFID)-related supply chain data

Cannot be sped up

7
  • Identify operational requirements for new systems to inform selection of technological solutions
  • Perform acceptance testing on newly installed or updated systems
  • Collect data about existing client hardware, software, networking, or key business processes to inform implementation of radio frequency identification device (RFID) technology
  • Install, test, or maintain radio frequency identification device (RFID) systems
  • Test tags or labels to ensure readability
  • Verify compliance of developed applications with architectural standards and established practices
  • Train users in details of system operation
What this does not say

This is not a prediction about your job

Nobody surveyed an employer. Tasks are counted equally, so a percentage here is a share of the list rather than a share of your week. And the ratings were made in 2023, which makes every figure a floor rather than a ceiling.

It must never be used to select anyone for redundancy. The full limits are here.

Where to go next

This is the standard task list for the title. The useful next question is which of the tasks you actually do should go near AI, and which should not.


Exposure ratings from Eloundou, Manning, Mishkin and Rock, GPTs are GPTs: Labor market impact potential of LLMs, Science 384, 1306–1308, 2024, used under the MIT licence. This page includes information from the O*NET Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. People Team AI has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. Employment figures from the US Bureau of Labor Statistics.