Acupuncturists
29-1291.00Median wage $76,040/yr7,830 employed (US)Rank #761 of 923 scored · top 82% by substitution
Diagnose, treat, and prevent disorders by stimulating specific acupuncture points within the body using acupuncture needles. May also use cups, nutritional supplements, therapeutic massage, acupressure, and other alternative health therapies.
Sub-scores
0–100 · band = confidence interval from rater disagreement
Substitution16
Exposure16
Augmentation43
Substitution — the headline: capability discounted by cost, barriers and adoption.
Exposure — technical capability alone, regardless of whether anyone deploys it.
Augmentation — how much AI assists without replacing. High here + moderate substitution = a changing job, not a disappearing one.
Tasks on the substitution scale
18 rated tasks, binned by substitution score.
Position among all scored occupations
Distribution of 923 occupation scores; the marker is this occupation.
Tasks with substitution ≥ 70
0%
Run 1.0.0-draft.1 · computed 2026-08-05 · rater panel: claude-sonnet-5, claude-haiku-4-5-20251001 · intervals span rater disagreement.
Why this score
The five weighted dimensions of the composite, averaged across this occupation's tasks (importance-weighted, panel mean). Exact weights and formulas: /api/v1/methodology.
Task automatabilityw 35%15
panel mean rating 1.6/5 → substitution pressure 15/100
Technical feasibility todayw 20%17
panel mean rating 1.7/5 → substitution pressure 17/100
Cost vs. human wagew 15%22
panel mean rating 1.9/5 → substitution pressure 22/100
Adoption barriersw 20%inverted — strong barriers lower the score17
panel mean rating 4.3/5 (barrier strength) → substitution pressure 17/100
Sector adoption velocityw 10%11
panel mean rating 1.4/5 → substitution pressure 11/100
Task breakdown (18 tasks)
Substitution pressure per task, weighted by O*NET importance in the composite. Expand a task for the full rater audit trail — every rating, every model, every rationale.
Collect medical histories and general health and lifestyle information from patients.
51CI 43–59 · exposure 42 · augmentation 75 · importance 4.7/5 · click for rater detail
Collect medical histories and general health and lifestyle information from patients.
51| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 3/5 | Many acupuncture clinics have adopted digital intake forms and basic questionnaires, but systematic AI-driven health history collection without human review remains limited. Adoption is moderately fast in larger urban clinics and integrated health systems but slower in small, independent practices. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Acupuncture and small alternative-health practices are a low-digitization sector with generally slow AI tool adoption compared to mainstream healthcare or professional services. |
| Augmentation potential | claude-haiku-4-5-20251001 | 4/5 | AI-powered intake systems that suggest follow-up questions, flag potential contraindications, or organize patient-reported information into structured diagnostic categories can meaningfully enhance a practitioner's efficiency and diagnostic completeness while keeping the acupuncturist fully in control of the clinical assessment. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI-assisted intake forms, transcription, and summarization tools can meaningfully speed up and standardize history collection while the acupuncturist still conducts in-person follow-up and interpretation. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI can collect structured health data via chatbots or intake forms with reasonable accuracy, acupuncture requires nuanced understanding of symptom severity, constitutional patterns, and lifestyle factors that typically demand clarification and follow-up questioning by a trained practitioner. Automating this fully would miss critical contextual cues needed for proper diagnosis. |
| Task automatability | claude-sonnet-5 | 3/5 | AI intake forms and conversational agents can gather structured medical history and lifestyle data, but synthesizing nuance and building rapport for acupuncture-specific diagnostics still requires human involvement for full task completion. |
| Adoption barriers | claude-haiku-4-5-20251001 | 3/5 | While collecting health history is not legally restricted to acupuncturists in most jurisdictions, liability and regulatory concerns around missing critical information create organizational friction. Additionally, patient comfort and the therapeutic value of the initial consultation conversation provide some friction to full automation. |
| Adoption barriers | claude-sonnet-5 | 2/5 | No strict licensing requirement mandates a human collect this data, though acupuncturists often prefer direct patient interaction to build trust and gather subtle clinical cues relevant to diagnosis. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 4/5 | Automated intake forms and chatbots cost very little to deploy ($100s to $1000s upfront, pennies per use), making them an order of magnitude cheaper than 15–30 minutes of a practitioner's time ($20–50 per patient). However, the need for human review and follow-up slightly reduces the economic advantage. |
| Cost vs. human wage | claude-sonnet-5 | 4/5 | Automated intake forms/chatbots are inexpensive compared to practitioner time spent on history-taking, though some oversight and follow-up clarification by the practitioner remains necessary. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 3/5 | Digital health intake systems and AI-driven questionnaires are deployed in many medical settings, including some acupuncture clinics, but they often require human review and supplementary questioning. Current systems capture basic data reliably but lack the clinical judgment to probe deeper or redirect questioning based on acupuncture-specific diagnostic frameworks. |
| Technical feasibility today | claude-sonnet-5 | 3/5 | Digital intake systems and chatbots are deployed in many clinics for history-taking, but acupuncture practice often involves nuanced TCM-specific questioning (tongue/pulse correlation, symptom patterns) not well handled by generic products. |
Maintain detailed and complete records of health care plans and prognoses.
44CI 34–54 · exposure 42 · augmentation 75 · importance 4.6/5 · click for rater detail
Maintain detailed and complete records of health care plans and prognoses.
44| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 3/5 | Acupuncture practices are often small, independent businesses with lower digitization rates than mainstream medical settings; while EHR adoption is growing, AI-assisted documentation adoption in acupuncture clinics remains in the pilot or early-adoption phase rather than widespread production use. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Acupuncture and complementary medicine practices are typically small, low-digitization businesses with slower AI tool adoption compared to mainstream healthcare systems. |
| Augmentation potential | claude-haiku-4-5-20251001 | 4/5 | AI can significantly assist by transcribing patient notes, suggesting documentation templates, and auto-populating routine fields, allowing the acupuncturist to focus on clinical detail and treatment decisions while dramatically reducing manual typing burden. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI scribing and note-summarization tools can meaningfully speed up documentation of treatment plans and prognoses while the practitioner retains full control and review. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | Record-keeping and documentation of health plans are largely structured data entry, which AI could partially automate through transcription and template-filling; however, capturing clinical judgment about prognoses requires human oversight and acupuncturist expertise, preventing full automation at equal quality without significant human review. |
| Task automatability | claude-sonnet-5 | 3/5 | AI can draft, structure, and summarize clinical notes and treatment plans from dictation or structured input, but the acupuncturist must still verify clinical accuracy and finalize prognosis judgments, limiting full end-to-end automation. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Healthcare records are subject to HIPAA, state licensing boards, and malpractice liability requirements; acupuncturists are typically legally responsible for the accuracy and completeness of their own records, creating a hard barrier to full automation and requiring human sign-off on clinical content. |
| Adoption barriers | claude-sonnet-5 | 3/5 | Health records require accuracy and often licensed practitioner sign-off for legal and liability reasons, plus HIPAA-type privacy handling, creating moderate but not absolute barriers to full automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 4/5 | AI-powered transcription, documentation, and template-population services are very inexpensive compared to the cost of an acupuncturist's time spent manually writing detailed records; inference costs are negligible relative to the loaded hourly wage. |
| Cost vs. human wage | claude-sonnet-5 | 3/5 | AI-assisted documentation tools reduce time spent on note-taking substantially, but licensing, integration with practice management systems, and human review keep costs from reaching order-of-magnitude savings for small practices. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 3/5 | EHR systems and AI-assisted clinical documentation tools exist and are deployed in healthcare settings, but they often require substantial human correction for accuracy, clinical detail, and regulatory compliance, particularly in specialized fields like acupuncture where templates are less standardized. |
| Technical feasibility today | claude-sonnet-5 | 3/5 | Ambient scribe and EHR documentation tools are deployed in some clinical settings including complementary medicine practices, but adoption among acupuncturists specifically is narrow and error-checking is still required. |
Adhere to local, state, and federal laws, regulations, and statutes.
43CI 6–80 · exposure 50 · augmentation 75 · importance 4.9/5 · click for rater detail
Adhere to local, state, and federal laws, regulations, and statutes.
43| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 3/5 | Healthcare and licensed professions are adopting compliance automation slowly compared to information sectors, due to regulatory caution and organizational preference for human oversight. Pilots of AI-assisted compliance monitoring exist, but production deployment across acupuncture practices remains sparse. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Healthcare and licensed complementary medicine fields are slow adopters of AI for compliance-critical functions due to liability and regulatory constraints. |
| Augmentation potential | claude-haiku-4-5-20251001 | 5/5 | AI-powered legal research and automated regulatory updates dramatically assist acupuncturists by condensing disparate federal, state, and local rules into actionable summaries, dramatically reducing time spent on manual statute review while the practitioner retains decision authority. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can help practitioners look up regulations, track renewal deadlines, or summarize legal updates, offering moderate assistance without replacing judgment or accountability. |
| Task automatability | claude-haiku-4-5-20251001 | 5/5 | AI systems can comprehensively monitor, retrieve, and cross-reference federal, state, and local regulations applicable to acupuncture practice in any jurisdiction. Modern legal research AI and compliance monitoring tools can perform this task end-to-end with 50%+ time savings compared to manual legal research and documentation review. |
| Task automatability | claude-sonnet-5 | 1/5 | Compliance with laws requires accountable professional judgment, licensure maintenance, and situational application that AI cannot execute end-to-end on behalf of a practitioner. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | While AI can retrieve and organize regulations, most jurisdictions legally require that a licensed healthcare provider (the acupuncturist) or their legal representative personally understand and confirm adherence to relevant laws. This human sign-off requirement and liability for non-compliance create a material barrier to full automation. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Practicing acupuncture legally requires a licensed human professional to be personally accountable for regulatory adherence; this cannot be delegated to software. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 5/5 | Automated legal research and compliance monitoring via AI platforms costs a fraction of human legal counsel or compliance officer time. The all-in inference and integration cost is orders of magnitude lower than hiring a full-time human to track and interpret applicable regulations. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | AI could cheaply provide regulatory information, but full compliance still requires human licensing, decision-making, and liability-bearing, so no substantial cost substitution occurs. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 5/5 | Deployed legal research AI platforms (LexisNexis, Westlaw, and specialized compliance tools) already perform regulatory monitoring and statute tracking at scale in healthcare and professional services. These products reliably surface applicable laws and flag updates in production environments. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product autonomously ensures a practitioner's legal compliance; at most AI offers reference/lookup tools, not compliance execution. |
Educate patients on topics, such as meditation, ergonomics, stretching, exercise, nutrition, the healing process, breathing, or relaxation techniques.
38CI 34–43 · exposure 25 · augmentation 75 · importance 4.5/5 · click for rater detail
Educate patients on topics, such as meditation, ergonomics, stretching, exercise, nutrition, the healing process, breathing, or relaxation techniques.
38| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Acupuncture practices are predominantly small, independent practitioners with low digitization rates. Adoption of AI-driven patient education is slow; most still rely on printed handouts or informal verbal instruction rather than integrated digital systems. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Alternative/complementary medicine practices are typically small, in-person practices with low digitization and slow AI adoption relative to sectors like finance or tech. |
| Augmentation potential | claude-haiku-4-5-20251001 | 4/5 | AI can substantially assist by drafting personalized wellness plans, generating visual guides for stretching and breathing, or suggesting content tailored to a patient's condition, allowing the acupuncturist to focus on clinical interaction and feedback rather than from-scratch education creation. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI can help acupuncturists prepare handouts, personalize exercise/nutrition guides, and generate educational materials, meaningfully boosting efficiency while the practitioner still delivers and customizes the education. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI can generate educational content on meditation, ergonomics, and nutrition, the task fundamentally requires personalized delivery tailored to a patient's specific condition, learning style, and cultural context. Current AI cannot replicate the adaptive, empathetic teaching interaction that acupuncturists provide during patient education, nor can it reliably assess whether a patient truly understands and can implement the guidance. |
| Task automatability | claude-sonnet-5 | 2/5 | AI can generate educational content on these topics, but effective patient education requires personalized in-person demonstration, assessment of patient understanding, and tailoring to individual conditions that current systems cannot fully replicate. |
| Adoption barriers | claude-haiku-4-5-20251001 | 3/5 | Patient expectation for human interaction and clinical judgment in acupuncture practice creates organizational friction. While not a hard legal barrier in most jurisdictions, professional standards and patient-centered care norms favor human education, and liability for incorrect self-care advice remains a concern. |
| Adoption barriers | claude-sonnet-5 | 2/5 | No strict licensing requirement blocks AI from providing general wellness education, though liability concerns around health advice and patient trust in a licensed practitioner create moderate friction. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 4/5 | Pre-recorded or AI-generated educational materials cost far less than the acupuncturist's time, and could be delivered at scale. Once content is created, marginal deployment cost is negligible compared to an acupuncturist's hourly labor. |
| Cost vs. human wage | claude-sonnet-5 | 3/5 | Generic content generation is cheap, but the assessment and rapport-building components requiring human presence keep overall cost comparable rather than dramatically cheaper. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | AI chatbots and educational tools exist to deliver generic wellness content, but no deployed product reliably performs this task as an acupuncturist would in a clinical setting. Products lack the real-time assessment of patient comprehension, ability to correct technique in real-time, and integration with the acupuncture treatment plan itself. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | Chatbots and apps provide general wellness information, but no deployed product reliably substitutes for a practitioner's personalized, in-session patient education tied to clinical assessment. |
Formulate herbal preparations to treat conditions considering herbal properties, such as taste, toxicity, effects of preparation, contraindications, and incompatibilities.
24CI 23–25 · exposure 25 · augmentation 50 · importance 3.7/5 · click for rater detail
Formulate herbal preparations to treat conditions considering herbal properties, such as taste, toxicity, effects of preparation, contraindications, and incompatibilities.
24| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Acupuncture and herbal medicine remain low-digitization, small-practice-dominated sectors with slow IT adoption and strong practitioner reliance on traditional knowledge; AI deployment in herbal formulation is negligible. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Acupuncture and TCM herbal practice is a small, specialized, in-person healthcare niche with limited digitization and slow AI tool adoption compared to mainstream medicine or professional services. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI tools can assist by rapidly cross-checking contraindications, retrieving documented herbal properties, and flagging potential incompatibilities, materially reducing manual reference work while the practitioner retains clinical decision authority. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can assist by surfacing herb-drug interactions, contraindications, and reference formulas quickly, meaningfully aiding the practitioner's research and safety-checking process. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI can retrieve herbal properties and contraindications from databases, formulating safe preparations requires integrating complex pharmacological interactions, individual patient factors, and clinical judgment that current systems cannot reliably replicate end-to-end at quality parity with experts. |
| Task automatability | claude-sonnet-5 | 2/5 | Formulating herbal preparations requires integrating patient-specific diagnosis, safety judgment, and nuanced knowledge of herb interactions; AI can support recall of formulas but cannot reliably perform the clinical synthesis end-to-end today. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Acupuncturists formulating herbal remedies face regulatory oversight (FDA herbal product regulations, state licensure requirements) and liability exposure for adverse outcomes, creating meaningful friction against full automation and requiring human professional sign-off. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Herbal formulation for treatment is generally restricted to licensed practitioners in regulated jurisdictions due to toxicity and interaction risks, creating substantial licensure and liability barriers. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | AI tools for herbal reference and interaction checking cost relatively little, but integrating them into a full clinical workflow with human oversight adds overhead comparable to or exceeding the time savings, maintaining cost parity with human herbalists. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | Even if AI assists with lookup, a licensed practitioner must still verify and finalize the formulation, so the human cost is not substantially displaced, keeping cost comparability closer to parity than order-of-magnitude savings. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | No deployed product reliably performs autonomous herbal formulation with safety accountability; research tools exist for ingredient lookup and interaction checking, but practitioners do not trust AI to independently generate patient-specific herbal preparations in clinical practice. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | There are decision-support and reference databases for herbal contraindications, but no deployed product independently formulates safe, individualized herbal prescriptions at scale in clinical practice. |
Consider Western medical procedures in health assessment, health care team communication, and care referrals.
21CI 16–25 · exposure 17 · augmentation 50 · importance 4.3/5 · click for rater detail
Consider Western medical procedures in health assessment, health care team communication, and care referrals.
21| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Acupuncture practitioners operate in a relatively low-digitization sector with fragmented practice settings; healthcare interoperability barriers and regulatory conservatism in clinical domains slow adoption of AI-driven referral and communication workflows. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Complementary and alternative medicine practices are a small, less digitized sector with limited AI adoption for clinical decision-making tasks. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can usefully assist by summarizing Western medical procedure literature, drafting communication templates, and flagging potential referral pathways, but the acupuncturist must retain final judgment on clinical appropriateness and interprofessional messaging. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can assist by summarizing medical records, suggesting relevant Western diagnostic considerations, and drafting referral communications, improving efficiency while the practitioner retains responsibility. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires integrating Western medical knowledge with patient assessment, interprofessional communication, and clinical judgment about referral appropriateness—all requiring contextualized understanding of individual patient needs and real-time clinical reasoning that current AI cannot reliably perform end-to-end. |
| Task automatability | claude-sonnet-5 | 2/5 | AI can help synthesize medical literature and flag interactions, but integrating Western medical procedures into individualized clinical judgment and referral decisions requires contextual reasoning AI cannot fully replicate end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Healthcare referral decisions and team communication involve liability, licensure requirements (acupuncturists must take legal responsibility for referrals), and regulatory oversight of clinical decision-making, creating strong legal and organizational barriers to full automation. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Health assessment and care referral decisions typically require licensed practitioner judgment and carry liability risk, creating strong regulatory and professional barriers to automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | AI tools for information retrieval and draft communication have low marginal cost, but the acupuncturist must still perform clinical assessment and make referral decisions, so total cost savings are limited compared to the practitioner's loaded wage. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | AI tools could cheaply supplement research and documentation, but the licensed practitioner still must perform assessment and referral, limiting cost savings. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | While AI can retrieve Western medical procedure information and draft communications, no deployed product reliably makes clinical referral decisions or engages in nuanced healthcare team communication without substantial human oversight and error rates remain material in clinical contexts. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | Clinical decision-support tools exist but are not deployed specifically for acupuncturists integrating Western diagnostics into care referral decisions at scale. |
Dispense herbal formulas and inform patients of dosages and frequencies, treatment duration, possible side effects, and drug interactions.
20CI 18–23 · exposure 25 · augmentation 50 · importance 4.0/5 · click for rater detail
Dispense herbal formulas and inform patients of dosages and frequencies, treatment duration, possible side effects, and drug interactions.
20| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Acupuncture practices remain largely traditional, small-scale, and operate under strict herbal-medicine licensing frameworks with minimal digital transformation; adoption of AI for clinical herbal recommendations is negligible in current market practice. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Acupuncture and traditional medicine practices are a small, low-digitization sector with minimal AI agent deployment in clinical dispensing workflows. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can assist by surfacing relevant herbal information, drug-interaction warnings, and dosage references to the practitioner during consultation, improving speed and comprehensiveness of counseling without replacing clinical judgment. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can help acupuncturists look up herb-drug interactions, generate patient education materials, and draft dosage instructions, improving efficiency while the practitioner retains clinical responsibility. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI can retrieve information about herbal formulas, dosages, and known side effects from databases, the task requires individualizing recommendations based on patient history, contraindications, and complex drug interactions—judgment that current systems cannot reliably perform end-to-end without substantial human oversight. |
| Task automatability | claude-sonnet-5 | 2/5 | Determining and dispensing herbal formulas requires patient-specific diagnosis and physical dispensing, which AI cannot perform end-to-end; only the informational counseling portion (dosage, interactions) could be partially automated. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Dispensing herbal formulas and advising on drug interactions carries direct liability for adverse outcomes, and in most jurisdictions a licensed acupuncturist or pharmacist must legally authorize and counsel on herbal products, creating hard regulatory barriers to full automation. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Herbal dispensing and patient counseling on dosages/interactions typically require licensure and are subject to scope-of-practice and liability regulations, creating strong barriers to full automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | Integration of reliable decision-support AI for herbal prescribing requires significant regulatory compliance, clinical validation, and oversight infrastructure, making the all-in cost comparable to or exceeding a human acupuncturist's time for this task. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | The physical dispensing and personalized formula selection still require licensed practitioner time and inventory handling, so AI cannot substantially undercut the human cost for the full task. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | No deployed product reliably performs independent herbal formula dispensing and patient counseling at the quality and safety standard required in clinical practice; existing AI tools offer partial decision support but cannot replace the licensed acupuncturist's legal and clinical responsibility. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | No deployed product dispenses herbal formulas or provides clinical patient-specific dosing instructions reliably; some drug-interaction lookup tools exist but are not integrated into acupuncture practice workflows. |
Evaluate treatment outcomes and recommend new or altered treatments as necessary to further promote, restore, or maintain health.
11CI 0–23 · exposure 13 · augmentation 38 · importance 4.7/5 · click for rater detail
Evaluate treatment outcomes and recommend new or altered treatments as necessary to further promote, restore, or maintain health.
11| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Acupuncture practices are typically small, offline-heavy operations with low digitization rates. Adoption of AI decision-support tools in this sector lags far behind information and finance, with minimal evidence of production deployment of outcome-evaluation AI. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Acupuncture and complementary medicine are low-digitization, hands-on healthcare fields with minimal AI adoption for actual clinical decision-making. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI could assist by summarizing patient-reported outcomes, suggesting evidence-based treatment alternatives from literature, and flagging patterns in symptom progression, enabling practitioners to make faster, more informed adjustments while retaining full clinical responsibility. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could help organize patient records, track symptom trends over time, or suggest evidence-based references, but it offers limited direct assistance in the core clinical judgment of altering treatment based on hands-on evaluation. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | Evaluating treatment outcomes requires integrating subjective patient feedback, physical examination findings, and TCM diagnostic principles. While AI could assist with organizing patient data and suggesting evidence-based alternatives, the nuanced clinical judgment—especially given the individualized nature of acupuncture protocols—cannot be reliably automated end-to-end to achieve the 50% time-saving threshold. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires hands-on physical assessment, palpation, pulse/tongue diagnosis, and clinical judgment integrating subjective patient feedback with physical exam findings—none of which current AI can perform end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Acupuncturists are licensed healthcare providers, and most jurisdictions legally require a licensed practitioner to evaluate treatment outcomes and make clinical recommendations to patients. Liability for adverse outcomes if recommendations are AI-generated without human oversight creates a strong regulatory and legal barrier. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Acupuncture treatment decisions require a licensed practitioner by law in most jurisdictions, and hands-on diagnostic techniques cannot be legally or physically delegated to software. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | The cost of developing, validating, and maintaining a specialized AI system for acupuncture treatment evaluation would be substantial relative to a practitioner's marginal time on this task, and integration with patient records and liability oversight would add overhead. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute performing this task, so cost comparison favors the human entirely; any AI attempt would require full human oversight negating savings. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | No deployed products reliably perform comprehensive acupuncture outcome evaluation and treatment modification independently. AI systems exist for general medical recommendations, but none are validated or in production for the specific context of TCM diagnosis and acupuncture protocol adjustment. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product evaluates acupuncture treatment outcomes or adjusts treatment plans in clinical practice; this remains firmly in the human practitioner's domain. |
Apply heat or cold therapy to patients using materials, such as heat pads, hydrocollator packs, warm compresses, cold compresses, heat lamps, or vapor coolants.
9CI 5–14 · exposure 8 · augmentation 25 · importance 3.9/5 · click for rater detail
Apply heat or cold therapy to patients using materials, such as heat pads, hydrocollator packs, warm compresses, cold compresses, heat lamps, or vapor coolants.
9| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Acupuncture practices are predominantly small, low-digitization clinics. No meaningful adoption of thermal therapy automation is evident in the sector, and capital barriers to robotic deployment are prohibitive for typical practitioners. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Healthcare and physical therapy-adjacent fields involving hands-on treatment show minimal AI adoption for physical task execution, as this sector remains low on digitization for manual care delivery. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could assist by recommending optimal temperature/duration protocols based on patient history or condition, but the core manual application of heat/cold requires human judgment and presence. Augmentation potential is limited to planning, not execution. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could assist with scheduling, treatment protocol suggestions, or monitoring duration/temperature via connected devices, but offers minimal assistance to the core physical application task itself. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI can theoretically control heat/cold application devices via robotic systems, the task requires continuous real-time assessment of patient tolerance, skin response, and tissue conditions. Current AI lacks reliable sensorimotor feedback and adaptability to individual patient variation to perform end-to-end with 50% time savings at equal quality. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires direct physical application of heat/cold therapy to a patient's body, which no current AI system can perform as it lacks physical manipulation capability of physical objects on patients. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | This task touches patient safety, direct contact, and clinical liability. Regulatory bodies (FDA, state boards) would likely require human oversight or certification of any automated system; additionally, patient preference for human contact and risk of thermal injury create strong adoption friction. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Direct patient contact for therapeutic treatment typically requires licensed practitioner involvement, safety judgment (avoiding burns/frostbite), and liability considerations, though not always a hard legal requirement for signoff. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Developing and deploying a specialized robotic system with medical certification would cost far more per application than the loaded wage of an acupuncturist applying thermal therapy manually, particularly at small-to-medium clinic scale. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | AI cannot perform this physical task at all, so there is no viable cost comparison—human labor is the only option currently. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed product reliably performs autonomous thermal therapy application to patients. This requires embodied robotics with medical-grade safety certification, real-time skin assessment, and liability clearance—none exist in production for acupuncture settings today. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed AI product performs physical therapeutic application of heat or cold to patients; this remains entirely a manual, hands-on clinical task. |
Analyze physical findings and medical histories to make diagnoses according to Oriental medicine traditions.
9CI 0–18 · exposure 8 · augmentation 38 · importance 4.4/5 · click for rater detail
Analyze physical findings and medical histories to make diagnoses according to Oriental medicine traditions.
9| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Acupuncture remains a small, regulated, and human-centric profession with minimal digitization or AI adoption infrastructure; the sector does not show patterns of AI tool adoption even for administrative tasks. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Acupuncture and alternative medicine is a small, low-digitization sector with minimal AI deployment for diagnostic tasks. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could marginally assist by organizing patient histories or cross-referencing pattern databases, but Oriental medicine diagnosis relies heavily on tactile and intuitive assessment that AI cannot augment in meaningful ways. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can help organize patient histories, cross-reference symptoms with TCM pattern databases, and support documentation, aiding but not replacing practitioner judgment. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Diagnosis in Oriental medicine requires integrative interpretation of subtle physical findings, pulse assessment, and complex patient histories informed by centuries of non-Western medical tradition. Current AI cannot reliably perform the somatic assessment, pattern recognition, or the synthesis of individual variation that defines Oriental medicine diagnosis. |
| Task automatability | claude-sonnet-5 | 2/5 | AI can summarize medical histories and suggest possible TCM patterns, but the diagnostic synthesis relies on pulse/tongue exam and hands-on assessment that current systems cannot perform end-to-end reliably.' |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Most U.S. states and many countries legally require a licensed acupuncturist to perform diagnosis and treatment; licensure, liability, and malpractice law create hard barriers to substitution. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Diagnosis and treatment planning in licensed healthcare fields typically requires a credentialed acupuncturist, with liability and licensing laws restricting automated substitution. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The specialized knowledge, training requirements, and liability costs of an acupuncturist far exceed any current AI system's development and maintenance cost for a task at which it fails fundamentally. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | AI inference is cheap, but because it cannot independently perform the physical exam component, a human practitioner is still required, keeping effective cost close to human levels. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed product reliably performs Oriental medicine diagnosis. While AI can help organize medical histories or reference pattern databases, actual diagnostic decision-making in acupuncture practice remains non-existent in production systems; this remains research-stage. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed clinical products perform Oriental medicine diagnosis in production; this remains research-stage or academic demonstration territory. |
Develop individual treatment plans and strategies.
7CI 0–14 · exposure 8 · augmentation 38 · importance 4.9/5 · click for rater detail
Develop individual treatment plans and strategies.
7| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Acupuncture remains a low-digitization, small-firm-dominated sector with limited data infrastructure and slow IT adoption. Integration of AI into clinical workflows is negligible in production deployments across the profession. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Acupuncture and complementary medicine is a low-digitization, hands-on healthcare field with minimal AI integration into clinical decision-making at present. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI could usefully assist by retrieving relevant classical texts, organizing patient data, or suggesting treatment protocol templates based on presenting symptoms, helping the practitioner work faster without replacing their diagnostic and planning responsibility. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could assist with reference lookup of point combinations, documentation, or literature review, but offers limited direct assistance to the core diagnostic and planning judgment involved. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | Developing treatment plans requires complex diagnostic judgment, pattern recognition across multiple modalities, and individualized clinical reasoning that current AI cannot reliably perform end-to-end. While AI could assist with literature synthesis or documentation, the integration of patient history, palpation findings, and traditional diagnostic frameworks demands human expertise. |
| Task automatability | claude-sonnet-5 | 1/5 | Developing an individualized acupuncture treatment plan requires physical examination, palpation, pulse/tongue diagnosis, and hands-on clinical judgment that current AI cannot perform end-to-end.It also requires ongoing tactile assessment that no deployed AI system replicates. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Acupuncture is a licensed and regulated healthcare profession in many jurisdictions; legal liability, malpractice exposure, and regulatory requirements mandate that a licensed practitioner be responsible for the treatment plan. Patient safety and informed consent further reinforce the requirement for human clinical judgment. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Acupuncture treatment planning requires a licensed practitioner under state licensing laws, with liability and scope-of-practice restrictions that legally require human diagnosis and treatment design. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | AI solutions for specialized medical planning are currently expensive to develop and maintain, and would require clinical validation overhead; the loaded hourly cost of an acupuncturist's planning time remains lower than the integration and oversight cost of a bespoke AI system. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | Since no viable AI substitute exists for this hands-on diagnostic and planning task, there is no meaningful cost comparison—the human practitioner is the only option. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed product demonstrably performs acupuncture treatment planning at clinical reliability today. AI systems lack the embodied diagnostic capability (pulse diagnosis, palpation) and the validated clinical pathways specific to traditional acupuncture practice. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product creates acupuncture treatment plans in clinical practice; this remains outside the scope of existing AI health tools. |
Maintain and follow standard quality, safety, environmental, and infection control policies and procedures.
6CI 0–11 · exposure 5 · augmentation 38 · importance 5.0/5 · click for rater detail
Maintain and follow standard quality, safety, environmental, and infection control policies and procedures.
6| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Healthcare practices have slow, cautious adoption of automation in compliance and safety functions due to regulatory scrutiny, liability concerns, and the requirement for human accountability in these high-stakes areas. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Healthcare and personal physical-contact service sectors like acupuncture show low AI adoption for hands-on compliance and safety tasks. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can assist acupuncturists by automating documentation, flagging outdated protocols, and organizing compliance checklists, but the human must remain fully responsible for policy decisions and regulatory interpretation. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could help by providing checklists, training materials, or compliance documentation reminders, but it doesn't meaningfully change the physical execution of the task. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task involves setting organizational policies, ensuring compliance, and making judgment calls about safety standards—all of which require human oversight, legal responsibility, and contextual knowledge of regulations that current AI cannot fully autonomize end-to-end. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires physically maintaining clean equipment, sterilizing needles, and adhering to procedures in a physical clinical environment, which current AI cannot perform end-to-end.ract |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Healthcare regulatory bodies (state boards, CDC, OSHA, infection control standards) legally require licensed practitioners to establish and maintain infection control and safety policies; liability and licensure attach to the human responsible for these decisions. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Licensed practitioners are legally required to follow infection control and safety regulations, with direct liability and regulatory oversight from health authorities. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | AI tools (compliance software, document management) offer some cost benefit for monitoring and drafting, but the human expertise required for policy oversight and legal sign-off means total cost is not substantially lower than human management. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | AI cannot substitute for the physical labor and judgment involved, so there is no viable cost comparison; the human must perform this task. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | While AI can help draft policies or flag compliance gaps, no deployed system reliably maintains, updates, and enforces these policies without human review and sign-off in healthcare settings where liability and regulatory risk are high. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed AI product performs physical infection control, sterilization, or safety compliance in a clinical acupuncture setting. |
Assess patients' general physical appearance to make diagnoses.
4CI 0–9 · exposure 5 · augmentation 25 · importance 4.4/5 · click for rater detail
Assess patients' general physical appearance to make diagnoses.
4| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Acupuncture remains a small, low-digitization sector with limited AI infrastructure investment and strong professional gatekeeping; adoption of AI diagnostics is minimal and hampered by regulatory and credentialing requirements. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Acupuncture and complementary medicine is a low-digitization, hands-on healthcare sector with minimal AI deployment for physical diagnostic tasks. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI image analysis could assist practitioners by flagging visible anomalies (skin lesions, discoloration) for further investigation, but the core diagnostic task of integrating physical signs with traditional frameworks remains primarily human-driven. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could assist with documentation, symptom pattern reference, or decision support after data is collected, but offers minimal help with the physical observational assessment itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Acupuncture diagnosis requires nuanced observation of subtle physical signs (complexion, tongue coating, pulse quality) integrated with patient interview and traditional diagnostic frameworks that current AI vision systems cannot reliably replicate as a complete diagnostic assessment. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires hands-on physical assessment (pulse, tongue, posture, skin) combined with tactile and visual clinical judgment that current AI cannot perform end-to-end without a human physically examining the patient. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Acupuncture diagnosis and treatment are legally restricted to licensed practitioners in most jurisdictions; only a credentialed acupuncturist can legally perform diagnostic assessment and bear liability for patient outcomes. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Acupuncture diagnosis and treatment require a licensed practitioner, involve physical patient contact, and carry liability implications that legally mandate human performance. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | Image analysis and computer vision infrastructure is inexpensive, but the need for human oversight, validation, and integration into clinical workflows makes full automation cost-prohibitive compared to a licensed acupuncturist's direct assessment. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute performing this physical exam task, so cost comparison favors the human practitioner who is required to conduct the assessment. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | While AI can analyze images of tongue or skin, no deployed product performs end-to-end acupuncture diagnosis from physical appearance alone with clinical reliability; systems remain research-stage or narrow proof-of-concepts without regulatory validation. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs physical acupuncture diagnostic assessment in production; any AI vision-based diagnostic aid remains research-stage and unvalidated for this clinical context. |
Identify correct anatomical and proportional point locations based on patients' anatomy and positions, contraindications, and precautions related to treatments, such as intradermal needles, moxibustion, electricity, guasha, or bleeding.
3CI 0–5 · exposure 5 · augmentation 25 · importance 4.9/5 · click for rater detail
Identify correct anatomical and proportional point locations based on patients' anatomy and positions, contraindications, and precautions related to treatments, such as intradermal needles, moxibustion, electricity, guasha, or bleeding.
3| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Acupuncture remains a small, specialized, lower-digitization healthcare sector; adoption of AI agents in production is negligible, and practitioners rely on manual skill and traditional training rather than digital systems. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Acupuncture is a manual, licensed healthcare practice with minimal AI integration into physical treatment delivery; sector adoption of AI for hands-on care is negligible. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could provide reference materials or alert on known contraindications, but the core task of palpating anatomy and identifying points is tactile and requires human expertise; augmentation potential is limited to decision support on contraindications rather than point location itself. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI reference tools or apps could help recall point locations or contraindications for study/planning, but offer little real-time assistance during actual anatomical assessment and treatment. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires real-time physical assessment of a patient's unique anatomy, precise palpation to locate meridian points, and dynamic judgment about contraindications—capabilities that current AI cannot perform without direct physical examination and the ability to examine variable human anatomy in situ. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires physical palpation, real-time anatomical assessment, and manual needle placement on a live patient—no current AI system can perform this physically or end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Acupuncture is a regulated, licensed medical practice in most jurisdictions; liability for needle placement errors is severe; direct physical contact and manual examination by a licensed practitioner is legally and ethically required, creating a hard barrier to full automation. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Licensed practitioner status is legally required to perform acupuncture and related invasive/physical modalities, with direct liability for patient safety and contraindications. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The cost of AI vision systems, hardware integration, clinical validation, and human oversight needed to replace physical examination far exceeds the loaded wage of an acupuncturist performing point location and assessment. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI substitute performing this physical task, so cost comparison favors the human practitioner entirely. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | While AI can reference acupuncture textbooks and guidelines, no deployed product reliably identifies point locations on actual patients or assesses contraindications in real clinical workflows; this remains largely educational or research-level, not production healthcare automation. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed AI product performs point location or contraindication assessment for physical acupuncture treatment; this remains entirely a manual clinical skill. |
Treat patients using tools, such as needles, cups, ear balls, seeds, pellets, or nutritional supplements.
0CI 0–0 · exposure 0 · augmentation 25 · importance 4.9/5 · click for rater detail
Treat patients using tools, such as needles, cups, ear balls, seeds, pellets, or nutritional supplements.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Acupuncture remains a low-digitization, hands-on manual profession with no measurable AI agent adoption or displacement in production settings; practitioners work in small clinics or wellness centers with minimal digital infrastructure. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Acupuncture and complementary medicine is a low-digitization, hands-on healthcare field with minimal AI/robotic adoption for physical treatment delivery. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could assist in diagnosis or treatment planning through symptom analysis or pattern matching, but the core manual execution of needle placement and adjustment cannot meaningfully benefit from AI assistance while the practitioner performs it. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could assist with treatment planning, tracking supplement regimens, or documentation, but offers negligible help with the physical act of needle placement or cupping itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires manual physical intervention with precision placement of needles and cups on the human body, combined with real-time patient assessment and adjustment. Current AI systems cannot perform hands-on medical procedures or manipulate physical tools on patients. |
| Task automatability | claude-sonnet-5 | 1/5 | Physical insertion of needles and hands-on manipulation of cups, ear balls, and pellets require direct physical dexterity and patient contact that current AI systems cannot perform. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Acupuncture requires licensure and legal authorization to practice in most jurisdictions; patient safety, liability, and direct physical contact with a regulated healthcare professional create strong hard barriers to automation. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Acupuncture requires licensure, physical touch, needle insertion safety protocols, and legal liability tied to a certified human practitioner, creating hard regulatory and physical barriers. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The cost of developing, validating, and maintaining autonomous acupuncture equipment far exceeds the wage cost of a trained acupuncturist, with minimal deployed alternatives to benchmark against. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI substitute performing this physical task, so cost comparison favors the human practitioner entirely; robotics for this remains research-stage and expensive if it existed. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI product performs acupuncture or cup therapy treatments. Autonomous robotic medical systems for acupuncture do not exist in clinical practice, and any such system would require extensive regulatory approval before real-world use. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs physical acupuncture or cupping treatments; this remains entirely a manual clinical procedure performed by trained practitioners. |
Insert needles to provide acupuncture treatment.
0CI 0–0 · exposure 0 · augmentation 25 · importance 4.9/5 · click for rater detail
Insert needles to provide acupuncture treatment.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | The healthcare sector, particularly acupuncture clinics, has shown minimal adoption of automation for the core needle-insertion task, remaining heavily dependent on licensed human practitioners. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Acupuncture is a manual healthcare practice with minimal digitization of the core physical procedure; sector adoption of AI for hands-on treatment delivery is essentially nonexistent. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | While AI might assist with diagnosis, point selection, or documentation, current systems offer limited augmentation for the actual insertion procedure itself, which remains human-dependent. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI may assist with diagnostics, treatment planning, or patient records, but offers negligible assistance for the physical act of needle insertion itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Inserting needles into a human body requires precise physical manipulation, real-time tactile feedback, and response to patient reactions—capabilities that current AI systems lack. No autonomous system can reliably perform this task today. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a precise physical procedure requiring manual dexterity, tactile feedback, and real-time patient interaction; no AI system can physically insert needles or perform hands-on treatment. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Acupuncture requires a licensed practitioner by law in most jurisdictions, and direct physical contact with the patient's body creates both legal liability and regulatory barriers that prevent autonomous automation. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Acupuncture requires a licensed practitioner in essentially all jurisdictions, involves direct bodily invasion, and carries liability requiring hands-on human judgment and legal accountability. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The capital cost of even a research-stage robotic system, plus integration and operator oversight, far exceeds the cost of paying a trained acupuncturist for a treatment session. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute performing this physical task, so AI cost is not comparable—human practitioners remain the only option, making AI effectively infinitely more 'expensive' (i.e., unavailable) for this task. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed products perform autonomous needle insertion for acupuncture. Robotic and vision systems exist in research but have not achieved reliable production use in clinical acupuncture settings. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs physical needle insertion; this remains purely in the domain of human manual practice, with no robotic acupuncture systems in production use. |
Treat medical conditions, using techniques such as acupressure, shiatsu, or tuina.
0CI 0–0 · exposure 0 · augmentation 25 · importance 3.6/5 · click for rater detail
Treat medical conditions, using techniques such as acupressure, shiatsu, or tuina.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Acupuncture clinics operate in small, distributed settings with limited digitization; the sector is slow to adopt labor-replacing automation and remains heavily dependent on face-to-face human practitioners due to regulatory and cultural factors. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Complementary/alternative medicine and hands-on bodywork sectors show minimal AI adoption for the physical delivery of care. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could potentially assist with diagnostic recommendation (pattern recognition in symptom-condition matching) or patient record management, but the core manual intervention—the therapeutic touch itself—offers minimal surface for AI augmentation while the human remains in the loop. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could assist with diagnostics, treatment planning, or patient records, but offers negligible help with the actual manual technique application. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires precise physical manipulation of the human body in 3D space, real-time tactile feedback, and proprioceptive adaptation—capabilities that current AI and robotics lack at clinical reliability. Even with advanced hardware, the safety-critical nature of needling and manual therapy makes autonomous performance infeasible today. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires physical manipulation of needles/pressure on a patient's body, which current AI systems cannot perform; no robotic system does clinical acupuncture or manual bodywork end-to-end today. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Acupuncture and related therapies are strictly regulated; practitioners must be licensed in most jurisdictions and legally responsible for patient safety. Direct physical contact with patients, legal liability for complications, and regulatory requirement for human licensure create hard barriers to automation. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Licensed practitioner status, physical touch, liability for patient injury, and regulatory scope-of-practice rules make this a hard barrier requiring a credentialed human. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The hardware and software infrastructure needed to perform these tasks safely would far exceed the cost of hiring a licensed acupuncturist, particularly when factoring in liability, customization per patient, and oversight requirements. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI substitute delivering this physical treatment, so cost comparison favors the human practitioner entirely. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed product reliably performs acupuncture, acupressure, shiatsu, or tuina independently. While robotic acupuncture prototypes exist in research settings, they lack the adaptive responsiveness, safety validation, and regulatory clearance required for clinical practice. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed AI product performs acupressure, shiatsu, or tuina treatments; this remains purely hands-on human practice. |
Apply moxibustion directly or indirectly to patients using Chinese, non-scarring, stick, or pole moxa.
0CI 0–0 · exposure 0 · augmentation 13 · importance 3.6/5 · click for rater detail
Apply moxibustion directly or indirectly to patients using Chinese, non-scarring, stick, or pole moxa.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Acupuncture and moxibustion are performed in small clinics and practices with limited digitization; adoption of AI-driven physical therapies is virtually nonexistent, reflecting the sector's dependence on licensed practitioner judgment and hands-on skill. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Acupuncture/alternative medicine is a low-digitization, hands-on field with minimal AI adoption for physical treatment delivery. |
| Augmentation potential | claude-haiku-4-5-20251001 | 1/5 | AI cannot meaningfully assist a practitioner in the core act of applying heat and moxa to skin; while AI might help with patient assessment or scheduling, it does not enhance the execution of moxibustion itself. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could assist with patient charting, treatment planning, or education about moxibustion technique, but offers no meaningful assistance during the physical application itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Moxibustion requires precise physical manipulation of burning moxa material in direct contact with or near a patient's skin, demand for real-time tactile feedback, and immediate safety response to patient comfort. Current AI systems cannot physically perform this hands-on procedure or reliably judge on-skin sensations and heat tolerance. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a manual, hands-on physical therapy requiring precise heat application and patient monitoring; no current AI system can perform this physical procedure. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Moxibustion is a hands-on therapeutic procedure typically requiring a licensed acupuncturist or practitioner in regulated jurisdictions. Patient safety, liability for burns, and regulatory requirements for manual treatment oversight create hard barriers to substitution. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Licensed acupuncturist certification is legally required to perform moxibustion, and the physical, safety-sensitive nature (burn risk) demands direct human execution and liability. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The infrastructure cost for a robotic system capable of safe thermal delivery and real-time adjustment to patient feedback would far exceed the typical hourly wage of an acupuncturist, making automation economically unfeasible. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI substitute for this physical task, so any AI cost comparison is moot—human labor is the only option and thus effectively cheaper by default. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI product or robotic system reliably performs moxibustion application in clinical settings. This task requires embodied physical presence, thermal regulation, and patient responsiveness that remain research-stage only. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs physical moxibustion; this remains purely a manual clinical skill performed by trained practitioners. |
Related occupations — Healthcare Practitioners & Technical
How to read this
A high substitution score does not mean this job disappears — it means a large share of its current tasks face replacement pressure, so the mix of tasks is likely to change. High augmentation alongside substitution typically means the occupation reorganizes around the protected tasks. Wide confidence intervals mean the rater panel disagreed: treat those scores as open questions, not verdicts.
What would change this score
New model capabilities (automatability, feasibility), falling inference costs (cost ratio), regulation and licensing shifts (barriers), and measured sector adoption (velocity) all re-enter at every index release. Each release is recomputed, versioned and kept queryable — scores are claims with a date on them, not permanent labels.