Resilient
Last Update: 7/31/2026
AI Resilience Score for Health Tech & Technicians:
67.8%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
This result is backed by strong agreement across multiple data sources.
Contributing sources
AI Resilience Report forHealth Technologists and Technicians, All Other
$50,290 median salary•13,600 annual openings•SOC Code: 29-2099.00
Health Technologists and Technicians, All Other are more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
This career is labeled "Resilient" because the most important parts of the job, like hands-on patient care, operating complex equipment, and making real-time clinical decisions, require human judgment and physical presence that AI simply cannot replicate. While AI is genuinely helping with time-consuming tasks like charting and documentation (cutting hours off paperwork each shift), it is being used as a helper tool rather than a replacement.
Learn more about how you can thrive in this position
View analysis
Chat with Coach
Latest news
More career infoAnalysisChatNewsMoreThis role is resilient
This career is labeled "Resilient" because the most important parts of the job, like hands-on patient care, operating complex equipment, and making real-time clinical decisions, require human judgment and physical presence that AI simply cannot replicate. While AI is genuinely helping with time-consuming tasks like charting and documentation (cutting hours off paperwork each shift), it is being used as a helper tool rather than a replacement.
Read full analysisLearn more about how you can thrive in this position
View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Health Tech & Technicians
Updated Quarterly
How is AI changing Health Tech & Technicians jobs?
Today, AI in this field is mostly augmenting workers rather than replacing them. The biggest wins so far are in the paperwork and data-entry side of the job. A recent study published in JAMA found that AI-powered ambient scribes modestly decreased total electronic health record (EHR) time by 13.4 minutes and documentation time by 16.0 minutes across five academic medical centers, and AI scribe usage was associated with 0.49 more visits per week for the clinicians included in the study.
Hospitals are scaling this fast: Mercy in Missouri reports that one nurse saved about two hours of charting in a 12-hour shift [1] using Dragon Copilot, and Epic says its "Art" assistant helps nurses write end-of-shift notes 85% faster [2] — directly attacking the highest-automation task (charting, 55%).
On the clinical side, augmentation is also happening. In respiratory care, AI and automation in 2026 are augmenting the roles of respiratory care therapists by streamlining diagnostics and treatment planning [3], with smart ventilator settings, weaning predictions, and remote monitoring being explored. In labs, AI and automation can transform workflows by using predictive analytics to forecast sample volumes and schedule people and equipment intelligently [4].
Radiology offers a useful clue for what's coming: AI is not replacing those workers but is actually increasing the amount of work they can do and increasing demand for their services [5].
Sources
How fast is AI adoption growing for Health Tech & Technicians?
Adoption is moving fast for documentation tools — they are cheap, plug into existing EHRs like Epic, and ease burnout. But hands-on tasks (running ventilators, treating an asthma attack in the ER) are adopting slowly because AI tools must be approved by the US FDA for medical use, which could take around eight years considering the development process and clinical testing [5]. Patient safety, liability, and regulation all slow things down — for example, setting a ventilator with AI support still faces challenges around clinician trust, validation, and integration into bedside decision-making [6].
The good news for young people: staffing shortages mean technology is being used to help workers, not push them out. Staff shortages plague clinical laboratories across the country [4], and human judgment, empathy, and hands-on care (think NICU or ER work) are exactly what AI can't do. Skills that will keep you valuable: AI literacy, data analytics, and strong bedside communication — areas where employers now prioritize advanced data analytics, AI literacy, and adaptability alongside clinical skills [3].
Sources
Will AI replace Health Tech & Technicians?
No. We don't think AI will replace Health Technologists and Technicians, All Other, but the job will definitely shift toward working alongside AI tools rather than working without them.
We gave this career a 67.8% AI Resilience Score because so much of the work is hands-on and human-centered in ways AI simply cannot replicate. Running a ventilator during an ER crisis, drawing blood from a frightened patient, or making a real-time clinical judgment all require physical presence, trained instincts, and human communication. AI is handling the easier parts first, like documentation. Nurses using AI scribes are saving roughly two hours of charting in a 12-hour shift [1], and AI assistants are helping write end-of-shift notes 85% faster [2]. That frees up technologists and technicians to focus on actual patient care.
On the clinical side, AI is augmenting rather than replacing. In labs, predictive analytics help forecast sample volumes and schedule staff more efficiently [4], and in respiratory care, smart tools are supporting diagnostics without removing the clinician from the loop [3]. Staffing shortages across health care also mean technology is being used to help workers, not cut them. If you build AI literacy and strong clinical communication skills alongside your technical training, this field has real staying power.
Sources
Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
Latest AI news for Health Tech & Technicians
These articles highlight the evolving role of AI in healthcare and its implications for Health Technologists and Technicians. For instance, the research on AI ambient scribing shows how technology can alleviate administrative burdens, allowing clinicians to focus more on patient care. Additionally, insights from the article on diagnostic radiology reveal that while AI may change workflows, it enhances efficiency rather than replacing jobs. This suggests a future where technologists are more AI-resilient, adapting to new tools that improve their work rather than threatening their roles.
‘AI-resilient’ job doesn’t mean AI-free, say workers
www.straitstimes.com • 7/13/2026
AI helps workers in healthcare, skilled trades, and social services by handling administrative tasks, but cannot replace essential human...
Will AI Replace Healthcare Jobs? Not How You May Think
www.forbes.com • 7/6/2026
Will AI replace healthcare jobs? Not exactly. Learn which roles face the greatest disruption, which remain resilient, and how the workforce...
Digital Innovations at Community Health Centers: AI Ambient Scribing in Rural Health Care
www.commonwealthfund.org • 5/13/2026
In rural and frontier CHCs, AI scribing is compelling for clinicians who deliver a broad scope of services to patients facing significant...
The impacts of artificial intelligence on the workload of diagnostic radiology services: A rapid review and stakeholder contextualisation
www.medrxiv.org • 7/24/2025
medRxiv - the preprint server for biology, operated by openRxiv, a nonprofit organization dedicated to advancing scientific communication.
AI, politics and rising demand for imaging—how rad techs are faring amid an evolving professional landscape
radiologybusiness.com • 6/4/2025
Compared to other healthcare workers, technologists may have a more positive outlook of their career trajectories and how outside forces may...
More Career Info
Career: Health Technologists and Technicians, All Other
They assist healthcare professionals by performing specialized tasks and using equipment to help diagnose and treat patients, ensuring everything runs smoothly in medical settings.
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$50,290
Jobs (2024)
178,800
Growth (2024-34)
+5.2%
Annual Openings
13,600
Education
Postsecondary nondegree award
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Work with patients in areas such as the emergency rooms, neonatal or pediatric intensive care, or surgical intensive care, treating conditions such as emphysema, chronic bronchitis, asthma, cystic fib...
2
Prepare or test devices, such as mechanical ventilators, therapeutic gas administration apparatus, environmental control systems, aerosol generators, or electrocardiogram (EKG) machines.
3
Use ventilators or various oxygen devices or aerosol and breathing treatments in the provision of respiratory therapy.
4
Recommend or review bedside procedures, x-rays, or laboratory tests.
5
Perform diagnostic procedures to assess the severity of respiratory dysfunction in patients.
6
Teach patients how to use respiratory equipment at home.
7
Explain treatment procedures to patients.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
