Will AI replace technical support engineers?
Updated
RFID specialists score 53 of 100 for AI exposure. The largest share of their task time, 81%, is work AI speeds up while they stay in charge. AI can take over 5% outright, and 14% stays with people.
- 5% AI can do it
- 81% AI helps
- 14% Needs a person
High exposure
Higher than 81% of the 923 occupations we scored.
Task by task
We graded 21 tasks, listed here from most to least exposed. AI can do 1 of them today, speeds up 17 and leaves 3 to people.
| Task | AI exposure |
|---|---|
| Document equipment or process details of radio frequency identification device (RFID) technology. AI drafts equipment and process documentation from configs. | 70% AI can do it |
| Develop process flows, work instructions, or standard operating procedures for radio frequency identification device (RFID) systems. AI drafts flows and SOPs well; process validation needs people. | 65% AI helps |
| Analyze radio frequency identification device (RFID)-related supply chain data. AI analyzes supply chain data well; insights need human validation. | 60% AI helps |
| Perform systems analysis or programming of radio frequency identification device (RFID) technology. Coding assistants speed programming; design decisions stay with engineers. | 55% AI helps |
| Test radio frequency identification device (RFID) software to ensure proper functioning. AI generates test cases and scripts; results need engineer checks. | 55% AI helps |
| Verify compliance of developed applications with architectural standards and established practices. AI can check code against standards; humans sign off compliance. | 55% AI helps |
| Determine usefulness of new radio frequency identification device (RFID) technologies. AI speeds research synthesis; judging fit needs expert evaluation. | 50% AI helps |
| Define and compare possible radio frequency identification device (RFID) solutions to inform selection for specific projects. AI builds comparison matrices; vendor and fit judgement stays human. | 50% AI helps |
| Determine means of integrating radio frequency identification device (RFID) into other applications. AI helps map integration options; architecture choices need experts. | 45% AI helps |
| Provide technical support for radio frequency identification device (RFID) technology. AI handles common troubleshooting; complex hardware issues need technicians. | 45% AI helps |
Show the other 11 tasks
| Task | AI exposure |
|---|---|
| Read current literature, attend meetings or conferences, or talk with colleagues to stay abreast of industry research about new technologies. AI summarizes literature; meetings and colleague talks stay human. | 45% AI helps |
| Identify operational requirements for new systems to inform selection of technological solutions. Drafts requirements from stakeholder notes; elicitation needs people. | 40% AI helps |
| Create simulations or models of radio frequency identification device (RFID) systems to provide information for selection and configuration. Modeling tools and AI assist; RF simulation needs specialist review. | 40% AI helps |
| Integrate tags, readers, or software in radio frequency identification device (RFID) designs. Code and config help; hardware integration stays hands-on. | 35% AI helps |
| Select appropriate radio frequency identification device (RFID) tags and determine placement locations. AI can compare tag specs; placement needs physical site knowledge. | 30% AI helps |
| Collect data about existing client hardware, software, networking, or key business processes to inform implementation of radio frequency identification device (RFID) technology. Interviews and site observation drive discovery; AI summarizes findings. | 30% AI helps |
| Train users in details of system operation. AI drafts training materials; live training delivered by people. | 30% AI helps |
| Perform acceptance testing on newly installed or updated systems. Test plans drafted by AI; hands-on acceptance testing on site. | 25% AI helps |
| Perform site analyses to determine system configurations, processes to be impacted, or on-site obstacles to technology implementation. Requires physical site visits and observing on-site obstacles. | 15% Needs a person |
| Test tags or labels to ensure readability. Readability testing needs physical readers and tags in person. | 15% Needs a person |
| Install, test, or maintain radio frequency identification device (RFID) systems. Physical installation and maintenance of readers and antennas. | 12% Needs a person |
How RFID specialists compare
All occupations (923)
Architecture and engineering (56)
Pay and outlook in the US
- Median pay
- $130,220 a year, May 2025
- Projected change in jobs
- +3.7% from 2024 to 2034
Skills to build
- Run site surveys and log read-blocking obstacles on location
- Test read rates with physical RFID readers and tags
- Model antenna coverage in ANSYS simulation software
- Plan reader coverage in Forsk Atoll
- Validate supply chain read data in Python and Excel
Safer roles nearby
5 related occupations with lower scores.
Questions about RFID specialists and AI
Will technical support engineers be replaced by AI?
Partly. About 4 in 10 of an RFID specialist's working hours go to tasks AI can already do, mostly documenting equipment and drafting process flows and SOPs. Site visits, physical installation, and tag readability testing stay with people because they need real readers, antennas, and building conditions.
Which RFID tasks is AI taking over?
Documentation is the most exposed task, with an exposure score of 70, since AI drafts equipment and process records directly from device configurations. Process flows, work instructions, and SOPs follow at 65, because AI drafts them well and the specialist validates each step. Supply chain data analysis scores 60, since AI sorts read data quickly, but a person checks the insights before a client sees them.
Which RFID tasks stay human?
Installing, testing, and maintaining readers and antennas stays human, since the work happens with hardware on a live site. Site analysis, which means walking the facility to find obstacles, stays human for the same reason. Tag readability testing also stays with people, because a reader and tag must be physically present to produce a real read rate.
How can RFID specialists stay valuable?
Take responsibility for the site survey, because only a site visit records the obstacles that affect read range. Check every AI-drafted SOP against a physical read test with real tags and readers. Verify supply chain analyses in Python or MATLAB before they reach a report, and sign off compliance against architectural standards yourself.
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