Stable

Last Update: 3/13/2026

Your role’s AI Resilience Score is

89.9%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
High

What does this resilience result mean?

These roles are expected to remain steady over time, with AI supporting rather than replacing the core work.

AI Resilience Report for

Acupuncturists

They help people feel better by inserting thin needles into specific body points to relieve pain and improve well-being.

This role is stable

A career in acupuncture is considered "Stable" because the work is very hands-on and requires human skills that AI can't easily replace. Acupuncturists need to use their sense of touch and understanding of the human body to decide where to place needles, something a robot or computer can't do as well.

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This role is stable

A career in acupuncture is considered "Stable" because the work is very hands-on and requires human skills that AI can't easily replace. Acupuncturists need to use their sense of touch and understanding of the human body to decide where to place needles, something a robot or computer can't do as well.

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Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

Learn about this score
Stable iconStable

97.0%

97.0%

Microsoft's Working with AI

AI Applicability

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Stable iconStable

85.8%

85.8%

Will Robots Take My Job

Automation Resilience

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Stable iconStable

88.2%

88.2%

Althoff & Reichardt

Economic Growth

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Stable iconStable

88.1%

88.1%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

6.8%

Growth Percentile:

85.4%

Annual Openings:

900

Annual Openings Pct:

10.2%

Analysis of Current AI Resilience

Acupuncturists

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Acupuncture work is very hands-on, so most tasks are still done by people. For example, keeping patient plans and progress notes is often done on paper or simple computer forms. Some clinics use electronic health record systems, which can make note-taking easier [1], but there is no common AI system that fills out detailed treatment plans for an acupuncturist.

In fact, researchers have pointed out that many acupuncture practices lack specialized digital records systems, and better EMRs could improve safety by ensuring prescriptions match the treatment [1] [1]. Tasks like following safety or infection-control rules are also largely manual – a computer can remind practitioners about a checklist, but it doesn’t replace the need for the acupuncturist to clean and prepare tools.

The core treatment steps (finding points and inserting needles) are almost entirely human at present. Scientists have built experimental robotic devices: for example, one team demonstrated an acupuncture robot that uses 3D imaging and force sensors to locate acupoints and insert needles [2]. Another project created a robot arm that mimicked a human needle motion with sub-millimeter accuracy and achieved the same pain relief in animal tests as manual acupuncture [2].

AI has also been used in lab studies to analyze patient data – for instance, computer vision models can “read” tongue images or prescription histories to suggest acupuncture points [2]. However, these technologies are still in research stages. In everyday practice, acupuncturists themselves decide on points by looking and feeling, and they insert needles by hand.

Even early work in “computer-guided” acupuncture stressed that the goal was to measure and support the practitioner’s work, not replace it [2].

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AI Adoption

AI in the real world

Today there are few off-the-shelf AI products for acupuncture. Developing a safe, automated system to do acupuncture is very expensive and complex. In fact, one review noted that teams have only just begun clinical trials with acupuncture robots [2].

Meanwhile, acupuncturists often run small clinics. The U.S. Bureau of Labor Statistics reports only about 9,400 acupuncturists nationwide [3]. It’s hard for a single practitioner to buy a multimillion-dollar robot when a human could do the job.

Unless a device reliably improves results, most acupuncturists will not switch to very costly equipment.

Social and legal factors also slow adoption. Patients seek acupuncture for personal care and human touch. Many practitioners find it hard even to move their work online – a survey during COVID-19 found acupuncturists mainly used telehealth to teach diet or exercises, and they agreed that it’s unclear how to apply needle therapies virtually [2] [2].

Similarly, people may be uneasy if a machine puts needles in them. Regulators would demand strong proof of safety before approving any AI system for patient care. In general, healthcare has been slower to adopt AI than other fields – one study found only about 1 in 1,850 health care job postings mentioned AI skills [4] – largely because trust, privacy, and oversight are serious concerns [2].

On the positive side, experts believe AI could gradually support acupuncture practice. For example, the WHO Traditional Medicine summit noted that AI can help analyze complex data in traditional medicine and personalize care [5]. In the future, acupuncturists might use apps or software to review research, suggest treatment plans, or even visualize point locations on a patient.

These tools could make planning a bit easier, but they would still require the practitioner’s judgment. Crucially, skills like understanding a patient’s story, carefully feeling pulses, and adjusting needles by hand are not things AI can do. Even those studying acupuncture robots emphasize they are meant to assist the healer, not replace them [2] [2].

In short, AI may help with background tasks or offer guidance, but human acupuncturists and their hands-on skills remain at the center of care.

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More Career Info

Career: Acupuncturists

Employment & Wage Data

Median Wage

$78,140

Jobs (2024)

15,300

Growth (2024-34)

+6.8%

Annual Openings

900

Education

Master's degree

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

90% ResilienceCore Task

Insert needles to provide acupuncture treatment.

2

85% ResilienceCore Task

Treat patients using tools such as needles, cups, ear balls, seeds, pellets, and nutritional supplements.

3

85% ResilienceCore Task

Identify correct anatomical and proportional point locations based on patients' anatomy and positions, contraindications, and precautions related to treatments such as intradermal needles, moxibution,...

4

80% ResilienceCore Task

Formulate herbal preparations to treat conditions considering herbal properties such as taste, toxicity, effects of preparation, contraindications, and incompatibilities.

5

75% ResilienceCore Task

Dispense herbal formulas and inform patients of dosages and frequencies, treatment duration, possible side effects and drug interactions.

6

70% ResilienceCore Task

Educate patients on topics such as meditation, ergonomics, stretching, exercise, nutrition, the healing process, breathing, and relaxation techniques.

7

65% ResilienceCore Task

Evaluate treatment outcomes and recommend new or altered treatments as necessary to further promote, restore, or maintain health.

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.

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