← Risk register SOC 29-2033 · reviewed 2026-08-11

Nuclear Medicine Technologists

17,080 US workers · median $101,370/yr · Healthcare

SAFE

The core of this job is physically compounding, calibrating and injecting radiopharmaceuticals, positioning anxious patients on PET/SPECT gantries, and troubleshooting a scanner mid-study — none of which current robotics can do in a busy hospital. AI is already strong at the image-reconstruction, artifact-flagging and dosimetry-calculation layers, and will absorb protocol paperwork and scheduling, but it cannot draw a dose, verify a patient's identity and pregnancy status, or answer to the NRC for a radiation incident. State licensure plus NMTCB/ARRT certification and radiation-safety accountability make the human legally load-bearing.

10-year outlook: Employment stays small and roughly flat, with AI absorbing reconstruction and paperwork while techs shift toward therapeutic nuclear medicine and multi-modality PET/CT work.

US employment, 2019–2025-5.7%
18,11017,080 workers

This fall is concentrated in 2020 and has not recovered since.

Median pay $77,950 → $101,370 +4.0% in real terms (nominal +30.0%, less ~25% US inflation over the period)

The job count is not the verdict

This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.

So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.

BLS projection, 2024–2034

+3%

Percentage only. The projection counts a different population from the 17,080 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.

Hard to automate, and growing

The work resists current AI and the BLS projects +3% more of these jobs by 2034. Note that safe does not mean well paid — several of the fastest-growing resistant occupations are among the lowest paid on the register.

Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.

~900 openings a year on average, including replacing people who leave.

One email if this score changes. Watch as many occupations as you like from the same address — no account, and nothing is sent on a schedule, only when a verdict actually moves.

Also known as — 16 job titles this covers

Titles reported by people doing this work, from the US Department of Labor's O*NET survey. If your job title is here, this page is about your work even though the name doesn't match.

Isotope TechnicianIsotope TechnologistNuclear TechnologistRadioisotope TechnicianRadiation Safety OfficerRadioisotope TechnologistNuclear Medicine TechnicianNuclear Medical TechnologistMedical Radiation DosimetristNuclear Cardiology TechnologistNuclear Medicine Technologist (NMT)Staff Nuclear Medicine TechnologistRegistered Nuclear Medicine TechnologistCertified Nuclear Medicine Technologist (CNMT)PET Technologist (Positron Emission Tomography Technologist)Nuclear Medicine PET-CT Technologist (Nuclear Medicine Positron Emission Tomography - Computed Tomography Technologist)

Score — 67/100 resistance

Holding it up: embodiment (17/20). Weakest point: judgment & accountability (11/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 15 + 17 + 13 + 11 + 11 = 67. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 15/20

Tasks largely resist digitisation Drawing a Tc-99m elution from a generator, doing the moly breakthrough assay, quality-controlling the kit prep, then getting an 88-year-old with a hip fracture into position for a three-hour bone scan are all sequential manual tasks with no digital substitute — the 15 rather than 18 reflects that dose calculations, attenuation correction, decay math and camera QC trend logging are already software-driven and shrinking your paperwork.

Embodiment 17/20

Hands-on in uncontrolled environments You work in a hot lab behind lead-glass syringe shields, palpate for veins, hoist patients onto narrow gantries, chase a stress-test patient down the hall to catch peak uptake, and clean up a spilled I-131 dose with a Geiger counter — an unpredictable physical environment where the only thing at a screen is the acquisition console.

Liability shield 13/20

Licensed human required and personally liable Most states license nuclear medicine technologists by name and the NRC's 10 CFR 35 makes the authorized user's written directive your responsibility to execute correctly, so a wrong-patient or wrong-dose administration becomes a reportable medical event with your name in it; the 13 rather than 17 is because the authorized user physician signs the directive and owns the clinical decision.

Trust premium 11/20

Some relationship component Patients meet you once, for a scan someone else ordered and someone else reads, but that hour includes you explaining why you're injecting radioactive material, coaxing a claustrophobic patient to stay still, and asking a 40-year-old woman directly whether she could be pregnant — rapport that determines whether the study is diagnostic, without any ongoing relationship to protect the role.

Judgment & accountability 11/20

Meaningful discretion Protocols are largely fixed by the ordering physician and departmental SOPs, but you decide in real time whether a bad injection means reinject or reschedule, whether motion artifact warrants a repeat before the tracer decays, and whether to add delayed views — real calls made alone at 6am with the radiologist not yet in, which is why this sits above procedural work but below the 14+ of people who own the diagnosis.

Scored twice. An independent second run returned 69/100 — SAFE, agreeing with the verdict above.

This score sits on a verdict boundary. At 67/100 it is one point from EXPOSED. Re-scoring moves results by a point or two, so here the score is more informative than the label.

Confidence: high · reviewed 2026-08-11 · how scoring works

What this job involves — and which parts are yours

The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.

AI already does these at usable quality

These still need a person

Active moats on the surviving side: embodiment, licensure, liability

How to future-proof this job

Where to go deeper on what this job runs on: Coursera — critical thinking and logic, audit free free to audit · Coursera — active listening and communication skills free to audit · Toastmasters — public speaking practice at local clubs worldwide low · Khan Academy — reading and vocabulary, all levels, free free · Purdue OWL — the standard reference for professional writing free · edX — performance measurement and evaluation free to audit

All 35 skills ranked by how many jobs they open →

What would move this back up — beyond any one person

The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 80/100, still SAFE.

5 specific changes that would raise this score
  • already happening judgment accountability +3

    Task-mix shift as theranostics displaces diagnostic-only work: Lu-177 PSMA/DOTATATE and I-131 therapy shift the technologist toward patient-specific dosimetry review, extravasation judgment, contamination response and release-criteria calls under NRC patient-release rules. This is a genuine two-tier job — routine bone scans and MUGAs are the low tier, therapy administration the judgment tier — and the tier ratio is already moving in centers adding radioligand therapy.

  • already happening task resistance +2

    If AI absorbs reconstruction, artifact flagging, protocol selection and QC logging, the residual day is compounding, injection, difficult-patient positioning and mid-study troubleshooting — the fraction of the shift that is irreducibly manual rises even though total headcount need not. Watch for hot-lab and therapy-suite hours becoming the majority of the role in centers that deploy vendor AI reconstruction (GE, Siemens already shipping).

  • plausible liability shield +3

    State-level licensure closing the remaining gap: roughly a dozen states still do not license nuclear medicine technologists, and the SNMMI-TS-backed CARE/Consistency, Accuracy, Responsibility and Excellence in Medical Imaging and Radiation Therapy Act (reintroduced repeatedly in Congress) would tie Medicare reimbursement to credentialed personnel. If enacted, or if the remaining unlicensed states adopt licensure, the named-and-liable human becomes federally load-bearing rather than employer policy.

  • plausible liability shield +3

    An NRC rule change under 10 CFR 35 explicitly naming the authorized-user-delegated technologist as the accountable party for dose administration and written-directive verification when AI dose-calculation software is in the loop — i.e. requiring a human signature on any software-generated dose for Y-90, Lu-177 or I-131 therapy. Theranostics volume growth is already forcing NRC and Agreement State attention to this delegation chain.

  • plausible embodiment +2

    Increase in on-site radiopharmacy compounding rather than unit-dose delivery — driven by short-half-life tracers (Ga-68 generators, F-18 in-house cyclotrons, Ac-225) where shipping is not viable. Each shift toward local compounding adds hands-in-a-hot-cell work that no deployed robot handles in a hospital hot lab.

The limit. Trust premium has no plausible route: patients do not choose or pay for a named nuclear medicine technologist, and referral flows through the ordering physician and radiologist. The realistic ceiling is roughly the high 70s, driven almost entirely by licensure/NRC accountability and the theranostics task-mix shift — and the headcount risk is throughput consolidation (fewer techs per scanner as AI speeds reconstruction and scheduling), which this score does not capture.

These are conditions, not forecasts — what would have to happen, not what will. Specific rules, cases and bills are named so you can go and check whether they exist and where they stand; verify before relying on any of them. Nothing here is legal or financial advice.

Where this work is, and what it pays there

BLS metro figures for 99 areas. The verdict above does not change by city — the rubric judges what the work involves, not where it happens — but pay and headcount do, and the national median hides a very wide range.

Most of these jobs

New York-Newark-Jersey City, NY-NJ 940 $125,340 +24%
Chicago-Naperville-Elgin, IL-IN 480 $108,860 +7%
Los Angeles-Long Beach-Anaheim, CA 460 $156,410 +54%
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 410 $102,460 +1%
Miami-Fort Lauderdale-West Palm Beach, FL 400 $99,810 -2%
Houston-Pasadena-The Woodlands, TX 320 $107,230 +6%
Phoenix-Mesa-Chandler, AZ 320 $100,130 -1%
Atlanta-Sandy Springs-Roswell, GA 310 $103,900 +2%

Best paid

San Jose-Sunnyvale-Santa Clara, CA 100 $198,950 +96%
San Francisco-Oakland-Fremont, CA 170 $189,790 +87%
Sacramento-Roseville-Folsom, CA 130 $173,260 +71%

Percentages are against this occupation's national median of $101,370. Counts are jobs in that metro, not vacancies. Metros where the BLS suppressed the cell are absent rather than shown as zero.

Who is actually doing this — nobody, on the record

We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.

That is worth saying out loud next to a score of 67. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.

Read that as a gap in the reporting we can see, not proof of absence — the dispatch runs on English-language feeds and misses plenty. If you know of a case, tell us, or add a field report from inside the job.

Quick take — do you do this job?

Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.

Self-reported and unverified — a sentiment signal, not a survey. One response per person per occupation; you can change your answer.

Field reports — what people say has changed

No field reports yet. A written account takes a paragraph rather than a tap, goes to an editor before it appears, and is the one thing on this page the rubric cannot produce on its own.

File a field report

Concrete beats general: a tool that arrived, a task that moved, a headcount decision you watched happen. Don't include anything that identifies you or your employer if that would put you at risk.

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