Radio Frequency Identification Device Specialists
In short: today's best AI models could do about 39% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 76% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 23% of the time, stays with people.
Design and implement radio frequency identification device (RFID) systems used to track shipments or goods.
$130,220 a year (for the broader BLS group this job sits in).
A typical 40-hour week
Not yet reviewed task by task- AI could take on16 h
- A person checks AI's work0 h
- Desk work AI can't do yet15 h
- Stays with people9 h
Radio Frequency Identification Device Specialists, now: of a 40-hour week, AI could take on 16 hours, 0 hours become checking its work, 15 hours are desk work it can't do yet, and 9 hours stay with people.
The largest pieces: Integrate tags, readers, or software in radio frequency identification device (RFID) designs (about 2 h); Develop process flows, work instructions, or standard operating procedures for radio frequency identification device (RFID) systems (about 2 h); Test radio frequency identification device (RFID) software to ensure proper functioning (about 2 h).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 77%
- 1%
- 22%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 4%. Today's estimate: 39%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
Of the Claude.ai conversations Anthropic sampled and tied to a work task, no reportable share went to this job's tasks in May 2026; 0 of its 21 tasks showed up. Within each of Anthropic's methods, never across a change: 0.0098% to 0.017% (released February and March 2025); 0.012% to 0.012% (August 2025 to February 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.0098% | 537 of 708 | 2 of 21 |
| Released March 2025 | 0.017% | 446 of 703 | 5 of 21 |
| The week of Aug 4, 2025 (released September 2025) | 0.012% | 436 of 655 | 3 of 21 |
| The week of Nov 13, 2025 (released January 2026) | 0.012% | 455 of 672 | 3 of 21 |
| The week of Feb 5, 2026 (released March 2026) | 0.012% | 470 of 677 | 4 of 21 |
| April 2026 (released June 2026) | none | n/a | 0 of 21 |
| May 2026 (released June 2026) | none | n/a | 0 of 21 |
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates 27% of this job's working time as physical work. For 3% of the working time, a robot has been shown doing most of the task somewhere: 3% in a purpose-built cell. 0.03 of 3, the 623rd highest of the 923 jobs.
- Not physical 73%
- No robot shown 25%
- In a purpose-built cell 3%
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
The tasks
Sorted by . 21 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Integrate tags, readers, or software in radio frequency identification device (RFID) designs.Done more than monthly by most who do it. Robots: no robot shown. Anthropic's rating. | 10% | 1.3 work days3.3 h to 4.2 work days | 44%Half by Dec 2026 | |
| Perform systems analysis or programming of radio frequency identification device (RFID) technology.Done more than monthly by most who do it. | 10% | 1.7 work days3.3 h to 1.3 work weeks | 24%Half by May 2027 | |
| Install, test, or maintain radio frequency identification device (RFID) systems.Done more than yearly by most who do it. Robots: no robot shown. Anthropic's rating. | 10% | 1.7 work days3.3 h to 1 work week | Stays with people | |
| Create simulations or models of radio frequency identification device (RFID) systems to provide information for selection and configuration.Done more than yearly by most who do it. | 8% | 1.7 work days3.3 h to 1.3 work weeks | 24%Half by May 2027 | |
| Test radio frequency identification device (RFID) software to ensure proper functioning.Done more than monthly by most who do it. | 7% | 6.7 h1.7 h to 2.5 work days | 55%Half by now | |
| Perform acceptance testing on newly installed or updated systems.Done more than yearly by most who do it. Robots: no robot shown. Anthropic's rating. | 6% | 1.3 work days3.3 h to 3.1 work days | Stays with people | |
| Determine means of integrating radio frequency identification device (RFID) into other applications.Done more than yearly by most who do it. | 6% | 1 work day2.5 h to 4.2 work days | 43%Half by Dec 2026 | |
| Develop process flows, work instructions, or standard operating procedures for radio frequency identification device (RFID) systems.Done more than yearly by most who do it. | 6% | 6.7 h2.5 h to 2.5 work days | 69%Half by now | |
| Collect data about existing client hardware, software, networking, or key business processes to inform implementation of radio frequency identification device (RFID) technology.Done more than yearly by most who do it. | 5% | 6.7 h1.7 h to 2.5 work days | 55%Half by now | |
| Determine usefulness of new radio frequency identification device (RFID) technologies.Done more than yearly by most who do it. | 4% | 6.7 h1.7 h to 2.5 work days | 55%Half by now | |
| Perform site analyses to determine system configurations, processes to be impacted, or on-site obstacles to technology implementation.Done more than yearly by most who do it. Robots: no robot shown. Anthropic's rating. | 4% | 1.3 work days3.3 h to 4.2 work days | Stays with people | |
| Define and compare possible radio frequency identification device (RFID) solutions to inform selection for specific projects.Done more than yearly by most who do it. | 4% | 1 work day2.5 h to 3.1 work days | 52%Half by now |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
- Electronics Engineers, Except Computer26% now, 73% by 2028
- Computer Hardware Engineers23% now, 63% by 2028
- Microsystems Engineers10% now, 63% by 2028
- Electrical and Electronic Engineering Technologists and Technicians39% now, 48% by 2028
- Software Developers48% now, 78% by 2028
- Electrical Engineers17% now, 67% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025). Counts are for the broader BLS group this job sits in.
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025). Counts are for the broader BLS group this job sits in.
Questions about this job
- How much of the work of Radio Frequency Identification Device Specialists is within reach of AI now?
- An estimated 39% of the working time is within reach of AI models now and 76% by the end of 2028, on METR's long-run pace at four in five (70% to 77% across the three paces the site shows). Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Radio Frequency Identification Device Specialists come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Integrate tags, readers, or software in radio frequency identification device (RFID) designs (44% of the task's time now, 100% by the end of 2028); Develop process flows, work instructions, or standard operating procedures for radio frequency identification device (RFID) systems (69% of the task's time now, 100% by the end of 2028); and Test radio frequency identification device (RFID) software to ensure proper functioning (55% of the task's time now, 100% by the end of 2028).
- Which tasks of Radio Frequency Identification Device Specialists stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Install, test, or maintain radio frequency identification device (RFID) systems; Perform acceptance testing on newly installed or updated systems; and Perform site analyses to determine system configurations, processes to be impacted, or on-site obstacles to technology implementation. Together such tasks are about 23% of the working time.
- Do people already use AI for the work of Radio Frequency Identification Device Specialists?
- In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 10%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Radio Frequency Identification Device Specialists?
- Anthropic's robot exposure rating (September 2026) finds 27% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 3% of the working time. Its index is 0.03 of 3. One example: Voyantic Tagformance Pro + Tag Rotation System for "test tags or labels to ensure readability". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
- How is this estimated?
- From the 21 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
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