← Risk register SOC 29-2031 · reviewed 2026-08-11

Cardiovascular Technologists and Technicians

62,960 US workers · median $74,310/yr · Healthcare

EXPOSED

The core of this job — positioning patients, manipulating an echo probe to get diagnostic windows, prepping and assisting in the cath lab, monitoring hemodynamics during a stent placement — is hands-on work on live bodies that today's robotics cannot do. What AI is already eating is the measurement and interpretation layer: automated ECG reading, auto-EF and strain quantification, chamber tracing, and preliminary report text. Credentialing (RCS, RCIS, RCES) is employer-mandated and payer-driven rather than a state license in most jurisdictions, so the regulatory moat is real but thinner than for nurses or radiologists.

10-year outlook: Employment holds or grows with an aging cardiac population, but the interpretation-and-reporting slice of the day shrinks while the procedural and difficult-acquisition slice becomes the job.

US employment, 2019–2025+12.2%
56,11062,960 workers

Headcount grew steadily across the period.

Median pay $57,720 → $74,310 +3.0% in real terms (nominal +28.7%, 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% 64,700 → 66,600 on the projections basis

Growing, and only partly exposed

The BLS expects +3% more of these jobs by 2034, and at 63/100 the work is only partly exposed — some tasks are automatable, the core of the job is not. Nothing here is in tension.

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.

~3,800 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 — 24 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.

SonographerPerfusionistRadiographerCardiographerEcho TechnicianEchocardiographerCardiac TechnicianMonitor TechnicianVascular TechnicianCardiograph OperatorTelemetry TechnicianCardiology TechnicianVascular TechnologistStress Test TechnicianCardiology TechnologistMedical Technologist (MT)Cardiac Monitor TechnicianCardiopulmonary TechnicianHolter Scanning TechnicianElectrocardiograph OperatorCardiopulmonary TechnologistTelemetry Monitor TechnicianEchocardiography TechnologistElectrocardiograph Technician

Score — 63/100 resistance

Holding it up: embodiment (18/20). Weakest point: liability shield (8/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 14 + 18 + 8 + 12 + 11 = 63. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 14/20

Tasks largely resist digitisation Getting an apical four-chamber window on a COPD patient with a bad acoustic window means angling the probe against ribs and coaching breath-holds in real time, and threading sheaths and manifolds in the cath lab is manual — but auto-EF, automated border tracing, and computer-generated ECG interpretation have already absorbed the measurement and preliminary-read portion of the shift, which is why this sits at 14 and not 18.

Embodiment 18/20

Hands-on in uncontrolled environments You are at the table with a gowned patient: rolling stroke patients into left lateral decubitus, holding sterile field during femoral or radial access, shaving and prepping groins, running a Holter hookup at bedside, and standing through a two-hour ablation — nothing here happens away from the body, and the 18 rather than 20 reflects that Holter/telemetry review and report prep are genuinely screen-based.

Liability shield 8/20

Certification preferred, not legally required RCS, RCIS, and RCES from CCI or ARDMS are demanded by hospital credentialing committees and by payers who won't reimburse studies from uncredentialed techs, so the barrier bites at hiring — but only a handful of states license cardiovascular techs, the interpreting cardiologist signs and owns the diagnostic read, so you don't carry personal legal exposure for the findings the way a licensed practitioner does.

Trust premium 12/20

Some relationship component Patients meeting you for 40 minutes in a darkened echo room while you explain what the images mean and keep them still through a stress protocol builds real rapport, and the cardiologists you work with daily learn whose loops they can trust — but the study travels to the reading physician under a tech ID, not your name, and most patients never ask for a specific sonographer.

Judgment & accountability 11/20

Meaningful discretion You decide in the moment to add a subcostal view or agitated saline when something looks off, call the stress test off when ST segments change or the patient's pressure drops, and flag a pericardial effusion or dissection to the physician immediately — that's discretion inside an ordered protocol with a cardiologist reachable, which is 11, not the unsupervised diagnostic call that scores 15+.

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, physical-presence, trust

How to future-proof this job

Training paths for your skill gaps: edX — systems thinking and evaluation methods free to audit · MIT OpenCourseWare — full course materials across every department, free free · MIT OpenCourseWare — operations management free · MIT OpenCourseWare — systems analysis and engineering free

All 35 skills ranked by how many jobs they open →

Where this experience transfers — occupations you could move toward

Computed from U.S. Dept. of Labor O*NET skill and knowledge profiles: high overlap with what you already do, a materially higher resistance score, no large jump in required training, and no licence you would have to start a new pipeline to get. Targets that pay meaningfully less, that are themselves COOKED, or whose own headcount is falling are excluded — a move into a shrinking trade is not an escape.

Respiratory Therapists SAFE · 78/100 · you already have ~80% of the skill profile

Skills to close: Systems Evaluation, Active Learning, Operations Analysis, Systems Analysis

Physical Therapist Assistants SAFE · 79/100 · you already have ~58% of the skill profile

Skills to close: Systems Evaluation

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 79/100 — SAFE.

5 specific changes that would raise this score
  • already happening liability shield +3

    Payer or accreditation-side tightening rather than legislation: IAC/ACR echo and cath lab accreditation standards, or a CMS condition of payment, requiring that every study billed be acquired and measurement-verified by an RCS/RDCS/RCIS-credentialed individual, with the credential number on the technical component. Watch IAC Echocardiography standards revisions and any CMS rule on AI-assisted cardiac measurement billing.

  • already happening task resistance +3

    Task-mix shift as the measurement tier is fully automated: the residual role concentrates on the genuinely hard acquisition work — poor acoustic windows in obese/COPD patients, TEE and intracardiac echo support for structural heart procedures (TAVR, mitral clip, LAAO), stress echo timing, pediatric/congenital anatomy, and intraprocedural hemodynamic troubleshooting. This tier grows in absolute volume as structural heart programs expand, and no law is needed for it.

  • plausible liability shield +5

    State licensure for diagnostic cardiac sonographers/cath lab personnel spreading beyond the handful of states that already have it (Oregon, New Mexico, North Dakota, Ohio license sonographers; bills recur in New York, New Jersey, Florida via the Sonography Coalition/SDMS). A statute naming a licensed sonographer as the person accountable for image adequacy — and required to attest that AI-derived measurements (auto-EF, strain, chamber tracing) were verified on the images — converts an employer credential into a personal legal duty.

  • plausible judgment accountability +3

    Formal recognition of the tech's escalation duty in protocol: hospital policy or society guidance (ASE/SCAI) that names the technologist as the person who must flag critical findings — pericardial effusion with tamponade physiology, aortic dissection, new severe regurgitation, hemodynamic collapse during PCI — and extend a scan beyond protocol without waiting for a reading physician. Where this is written into the sonographer's scope rather than treated as informal, the role owns a consequential call under ambiguity.

  • plausible judgment accountability +2

    Autonomy over whether an AI-generated measurement set is acceptable: a documented override log in which the tech records rejection of auto-quantification and substitutes manual tracing, becoming the named accountable party for the numbers that reach the report. Some vendor workflows (EchoGo, Us2.ai) already require a human confirmation step; a requirement that the confirmer be identified and auditable is the change to watch.

The limit. Embodiment at 18 is effectively at ceiling — nothing raises it further. Trust premium is omitted deliberately: patients do not select their cardiovascular technologist, referrals route through cardiologists, and there is no realistic consumer market that pays extra for a human scanner. Also note that liability_shield gains here are partly offset by the same licensure statutes making the physician, not the tech, the signing party on interpretation; licensure raises the floor for acquisition accountability, not for reading.

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 181 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 4,180 $87,210 +17%
Los Angeles-Long Beach-Anaheim, CA 2,600 $66,090 -11%
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 1,880 $73,380 -1%
Dallas-Fort Worth-Arlington, TX 1,660 $50,590 -32%
Houston-Pasadena-The Woodlands, TX 1,480 $60,650 -18%
Miami-Fort Lauderdale-West Palm Beach, FL 1,420 $81,120 +9%
Atlanta-Sandy Springs-Roswell, GA 1,410 $79,250 +7%
Washington-Arlington-Alexandria, DC-VA-MD-WV 1,390 $93,030 +25%

Best paid

Salt Lake City-Murray, UT 810 $224,280 +202%
Oxnard-Thousand Oaks-Ventura, CA 50 $128,530 +73%
Urban Honolulu, HI 130 $111,730 +50%

Percentages are against this occupation's national median of $74,310. 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 63. 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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