Chiropractors
29-1011.00Median wage $79,200/yr39,630 employed (US)Rank #597 of 923 scored · top 65% by substitution
Assess, treat, and care for patients by manipulation of spine and musculoskeletal system. May provide spinal adjustment or address sacral or pelvic misalignment.
Sub-scores
0–100 · band = confidence interval from rater disagreement
Substitution23
Exposure24
Augmentation52
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
11 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
9%
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%22
panel mean rating 1.9/5 → substitution pressure 22/100
Technical feasibility todayw 20%28
panel mean rating 2.1/5 → substitution pressure 28/100
Cost vs. human wagew 15%27
panel mean rating 2.1/5 → substitution pressure 27/100
Adoption barriersw 20%inverted — strong barriers lower the score18
panel mean rating 4.3/5 (barrier strength) → substitution pressure 18/100
Sector adoption velocityw 10%20
panel mean rating 1.8/5 → substitution pressure 20/100
Task breakdown (11 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.
Maintain accurate case histories of patients.
79CI 65–92 · exposure 87 · augmentation 88 · importance 4.8/5 · click for rater detail
Maintain accurate case histories of patients.
79| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 4/5 | Healthcare IT and chiropractic practices have shown rapid adoption of EHR and automated documentation systems over the past decade; adoption is now mainstream in organized healthcare settings and increasingly in independent practices. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Chiropractic is a smaller, less digitized practice sector compared to hospital systems, so AI documentation adoption lags behind larger healthcare institutions. |
| Augmentation potential | claude-haiku-4-5-20251001 | 4/5 | AI documentation assistants substantially boost clinician productivity by auto-populating templates, flagging missing elements, and organizing historical data for quick retrieval, allowing practitioners to focus on clinical judgment rather than manual transcription and filing. |
| Augmentation potential | claude-sonnet-5 | 5/5 | AI scribes and note-generation tools substantially speed up documentation while the chiropractor remains responsible for reviewing and finalizing the record. |
| Task automatability | claude-haiku-4-5-20251001 | 5/5 | Maintaining case histories involves structured data entry, organization, and retrieval tasks that modern AI systems, including EHR-integrated agents and LLMs, can perform end-to-end with substantial time savings. Transcription, documentation parsing, and record organization are mature capabilities in deployed healthcare systems. |
| Task automatability | claude-sonnet-5 | 4/5 | AI transcription, dictation, and EHR-integrated note generation can produce structured patient case histories from voice or intake data with substantial time savings, though clinician review is still needed for accuracy. |
| Adoption barriers | claude-haiku-4-5-20251001 | 2/5 | While HIPAA and medical record confidentiality impose some operational friction and require vendor compliance, they do not prevent AI automation itself—many compliant systems are deployed. There is no legal requirement that a human manually maintain records, only that they be accurate and retained. |
| Adoption barriers | claude-sonnet-5 | 3/5 | Case histories are part of the medical record requiring accuracy and legal defensibility, and clinicians must verify and sign off on entries, creating moderate liability-driven oversight barriers. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 5/5 | EHR automation and documentation AI are inexpensive relative to the loaded wage of administrative staff or clinician time spent on record-keeping; inference and integration costs are typically a small fraction of what a human would charge for the same work. |
| Cost vs. human wage | claude-sonnet-5 | 4/5 | AI-assisted documentation tools cost a small fraction of a clinician's or scribe's hourly rate for equivalent note-taking output. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 5/5 | Production-grade healthcare documentation systems, including chiropractic-specific EHR platforms, already automate case history maintenance with templating, auto-population, and voice-to-text integration at scale across many practices. |
| Technical feasibility today | claude-sonnet-5 | 4/5 | Ambient scribe and EHR documentation tools (e.g., AI clinical note generators) are deployed widely in healthcare settings today, though chiropractic-specific adoption is less mature than in general medicine. |
Obtain and record patients' medical histories.
43CI 30–56 · exposure 42 · augmentation 63 · importance 4.9/5 · click for rater detail
Obtain and record patients' medical histories.
43| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Chiropractic practices are predominantly small, independently-owned businesses with slower EHR digitization than hospitals or large medical groups. AI adoption for intake remains limited to early adopters. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Healthcare broadly, and chiropractic practice specifically, tends to lag in digitization and AI adoption compared to purely digital-native fields, with most offices still relying on paper or basic EHR forms. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can assist by auto-filling forms, highlighting gaps, and suggesting follow-up questions, meaningfully reducing the time a clinician spends on routine intake; however, the human practitioner remains responsible for validation and clinical synthesis. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI scribes, intake chatbots, and transcription tools can meaningfully speed up and standardize the history-taking process while the chiropractor remains responsible for verifying and using the information. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | AI can assist with form-filling and data entry from patient input, but obtaining a complete, accurate medical history requires clinical judgment and follow-up questioning to identify relevant details. Current AI cannot reliably elicit and synthesize the nuanced information a clinician needs without human oversight. |
| Task automatability | claude-sonnet-5 | 3/5 | AI can conduct structured intake interviews and transcribe/summarize medical histories via chatbots or voice-to-text tools, but ensuring completeness, follow-up probing, and clinical relevance still often needs human oversight, so only partial time savings are reliably achieved end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Chiropractors are licensed healthcare providers with malpractice liability; patient safety, regulatory compliance (HIPAA, scope of practice), and liability concerns create strong pressure to retain human verification of medical histories. Documentation must be legally defensible. |
| Adoption barriers | claude-sonnet-5 | 2/5 | While medical history documentation is part of a licensed clinical encounter, the actual data-gathering/recording step can be delegated to structured forms or software without violating scope-of-practice rules, so barriers are modest. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | AI-assisted intake can reduce data-entry labor, but the cost of integration, maintenance, and necessary human review often approaches or exceeds the savings from automating the clerical portion alone. |
| Cost vs. human wage | claude-sonnet-5 | 4/5 | AI-based intake forms and transcription tools are inexpensive compared to a clinician's time spent manually recording history, offering substantial cost savings even with some human review. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 3/5 | Products exist for automated intake forms and basic medical history digitization (EHR systems with templated forms), but they typically require human review and correction. Fully autonomous, error-free medical history collection without human validation is not reliably deployed in production. |
| Technical feasibility today | claude-sonnet-5 | 3/5 | Digital intake forms, ambient scribes, and AI-assisted history-taking chatbots are deployed in some clinics, but chiropractic-specific adoption is limited and accuracy/completeness varies, so it's not yet a mature universal solution. |
Counsel patients about nutrition, exercise, sleeping habits, stress management, or other matters.
29CI 25–34 · exposure 25 · augmentation 63 · importance 4.5/5 · click for rater detail
Counsel patients about nutrition, exercise, sleeping habits, stress management, or other matters.
29| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Chiropractic is a small, dispersed, and traditionally lower-tech sector with limited capital for automation infrastructure. Adoption of AI-driven patient counseling in clinical workflows remains minimal; most practices rely on human interaction and printed materials. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Chiropractic and allied health practices are generally small, in-person businesses with modest digitization and slow AI tool adoption for patient counseling. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can assist by generating draft talking points on nutrition or exercise, summarizing evidence-based guidelines, or suggesting stress-management resources that a chiropractor can then personalize and deliver. However, the added value is modest because the core task is already fast and relies on interpersonal credibility. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI can help chiropractors draft personalized nutrition/exercise/stress-management handouts, research current guidelines, and prep talking points, meaningfully speeding up counseling prep while the practitioner still delivers and tailors the advice. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI can generate generic nutrition and exercise advice, chiropractors' counseling is typically personalized to individual patient anatomy, medical history, and treatment plans. End-to-end automation with 50% time savings at equal quality would require AI to replace the diagnostic integration and rapport-building that characterize effective patient counseling. |
| Task automatability | claude-sonnet-5 | 2/5 | General lifestyle counseling content can be generated by AI chatbots, but personalized, condition-specific counseling tied to physical exam findings requires clinical judgment and rapport that current systems cannot fully replicate end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Patient counseling in a clinical setting carries liability and regulatory expectations around medical advice; chiropractors bear responsibility for the guidance they give. Malpractice risk and professional standards create friction against full automation without human judgment and signature. |
| Adoption barriers | claude-sonnet-5 | 3/5 | No strict licensing requirement mandates only chiropractors give lifestyle advice, but patients often expect and trust a licensed professional's personalized guidance in the context of their treatment, creating moderate friction. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | The cost of integrating, training, and maintaining an AI counseling system for a small chiropractic practice, plus human oversight to ensure safety and relevance, likely approaches or exceeds the cost of a clinician spending 10–15 minutes counseling a patient directly. |
| Cost vs. human wage | claude-sonnet-5 | 3/5 | AI-generated generic advice is very cheap, but when integrated into a clinical workflow with oversight and liability considerations, the effective cost advantage narrows considerably compared to a few minutes of clinician counseling. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | AI chatbots and educational systems can deliver health information, but no deployed product reliably performs personalized patient counseling in a clinical chiropractic setting with the contextual understanding and credibility required. Most applications are informational only, not substitutes for clinical counseling. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | Consumer health chatbots and wellness apps exist and give generic nutrition/exercise advice, but no deployed product reliably substitutes for a chiropractor's in-person, patient-specific counseling integrated with treatment plans. |
Analyze x-rays to locate the sources of patients' difficulties and to rule out fractures or diseases as sources of problems.
29CI 25–34 · exposure 30 · augmentation 50 · importance 4.7/5 · click for rater detail
Analyze x-rays to locate the sources of patients' difficulties and to rule out fractures or diseases as sources of problems.
29| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Adoption of AI-assisted x-ray analysis in chiropractic is slow; most small to mid-sized chiropractic practices lack the digital infrastructure and training to deploy such systems, and the profession has been relatively conservative in AI adoption compared to mainstream medical radiology. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Chiropractic is a small, decentralized, and less digitized sector compared to mainstream radiology/medicine, so AI imaging tool adoption here lags well behind hospital-based radiology adoption. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can meaningfully assist chiropractors by flagging potential fractures or concerning pathology for human review, reducing missed findings and accelerating routine normal scans; however, the augmentation is modest because the core clinical judgment—correlating imaging with examination and ruling in/out causes—still requires the clinician. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can help flag potential abnormalities or highlight regions of interest on x-rays, offering useful second-opinion style assistance, but chiropractors still perform the core diagnostic reasoning. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | AI can detect some radiological anomalies (fractures, gross pathology) in x-rays with reasonable accuracy, but chiropractic interpretation requires clinical correlation with patient history, manual examination findings, and treatment planning—a full end-to-end automation would require AI to perform the entire diagnostic reasoning, which remains incomplete and error-prone today. |
| Task automatability | claude-sonnet-5 | 2/5 | AI image analysis can flag abnormalities, but definitive diagnostic interpretation integrated with clinical judgment and patient context still requires a licensed practitioner, so full end-to-end automation with equal quality is not yet achievable. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Significant regulatory and liability barriers exist: chiropractic diagnosis and x-ray interpretation are scope-of-practice issues; many jurisdictions require a licensed practitioner to personally perform and take responsibility for diagnostic interpretation; malpractice liability for missed fractures or disease creates strong legal friction against full automation. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Diagnostic interpretation of medical imaging to rule out fractures or disease carries significant liability and generally requires a licensed professional's sign-off, creating strong regulatory and liability barriers to full automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | AI inference for x-ray analysis is inexpensive, but the task in practice requires skilled clinician oversight, integration into existing diagnostic workflows, and liability coverage, bringing all-in costs closer to the cost of a human expert review rather than being substantially cheaper. |
| Cost vs. human wage | claude-sonnet-5 | 3/5 | AI-assisted image screening tools are relatively cheap per scan, but integration, calibration, and required human oversight for liability purposes keep overall cost comparable to a chiropractor's own review time. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 3/5 | Computer-aided detection (CAD) systems and deep learning models for fracture/disease detection in x-rays exist in production medical settings, but they are primarily assistive tools requiring radiologist or clinician review; standalone AI deployment for diagnostic sign-off in chiropractic practice is not yet standard in most jurisdictions. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | Deployed radiology AI tools exist for detecting fractures in some settings, but chiropractic-specific x-ray interpretation products are narrow, not widely validated, and rarely used as standalone diagnostic tools in chiropractic practice. |
Diagnose health problems by reviewing patients' health and medical histories, questioning, observing, and examining patients and interpreting x-rays.
23CI 20–25 · exposure 30 · augmentation 75 · importance 4.9/5 · click for rater detail
Diagnose health problems by reviewing patients' health and medical histories, questioning, observing, and examining patients and interpreting x-rays.
23| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Healthcare adoption of AI diagnostics remains cautious and fragmented, with many practices still using traditional workflows. Chiropractor offices, often small independent practices, typically lag in AI adoption compared to major medical institutions. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Chiropractic and small healthcare practices are generally slow adopters of AI diagnostic tools compared to large hospital systems or digital-native sectors. |
| Augmentation potential | claude-haiku-4-5-20251001 | 4/5 | AI can meaningfully augment chiropractor diagnostic work by providing rapid x-ray analysis, flagging anomalies, and summarizing patient history data, allowing practitioners to focus on clinical judgment and patient interaction. This support can materially boost clinician productivity within the diagnostic process. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI can meaningfully assist by summarizing medical histories, flagging anomalies in x-rays, and suggesting differential diagnoses, improving efficiency while the chiropractor retains full clinical responsibility. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI can assist with x-ray interpretation and data review, the task requires direct patient examination, physical palpation, and clinical judgment that cannot be fully automated. AI cannot physically examine patients or conduct the full diagnostic process end-to-end with the required 50% time saving at equal quality. |
| Task automatability | claude-sonnet-5 | 2/5 | While AI can assist with x-ray interpretation and history review, the integrated task of physical examination, patient interaction, and clinical diagnosis requires hands-on assessment and judgment that current AI cannot perform end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Chiropractors are licensed professionals legally required to perform diagnosis and sign off on patient treatment plans. Regulatory and liability frameworks strictly require a licensed practitioner to conduct the examination and take responsibility for diagnostic conclusions. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Diagnosis is a licensed clinical act requiring a credentialed chiropractor, with significant liability exposure and legal requirements for hands-on examination and sign-off. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | AI tools for image analysis are relatively inexpensive, but the overall diagnostic task still requires substantial licensed clinician time for examination, history-taking, and interpretation. Savings do not reach an order of magnitude cheaper than a chiropractor's labor. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | AI could cheaply assist with parts like documentation or image flagging, but since a licensed chiropractor must still perform the physical exam and synthesize diagnosis, overall cost savings are limited. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 3/5 | Deployed AI products exist for x-ray interpretation and medical image analysis with reasonable accuracy, but diagnostic systems require human oversight and cannot independently diagnose without clinician review. Material error rates and narrow scope limit autonomous performance. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | AI imaging tools exist for radiograph analysis in narrow contexts, but no deployed product performs the full diagnostic workflow including physical exam and patient questioning reliably in chiropractic practice today. |
Recommend and arrange for diagnostic procedures, such as blood chemistry tests, saliva tests, x-rays, or other imaging procedures.
23CI 20–25 · exposure 25 · augmentation 50 · importance 4.2/5 · click for rater detail
Recommend and arrange for diagnostic procedures, such as blood chemistry tests, saliva tests, x-rays, or other imaging procedures.
23| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Chiropractic remains a relatively traditional sector with slower digitization compared to mainstream medicine; adoption of AI-driven diagnostic workflows is minimal and mostly experimental, concentrated in tech-forward clinics rather than widespread practice. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Chiropractic and small healthcare practices are generally slow adopters of AI diagnostic tools compared to larger, digitized medical systems. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can meaningfully assist by flagging relevant imaging findings, suggesting differential diagnostic pathways, and streamlining test selection logic, but the chiropractor retains final decision authority and must critically evaluate recommendations, making it a supportive rather than transformative tool. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can assist by suggesting relevant tests based on symptoms or flagging abnormal patterns in prior results, improving practitioner efficiency without replacing the ordering decision. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI can assist in interpreting imaging and generating diagnostic recommendations based on clinical data, the task requires clinical judgment to determine which specific procedures are appropriate for an individual patient's presentation. Current AI lacks the autonomy to independently decide on diagnostic pathways without human physician oversight, making end-to-end automation with 50% time savings infeasible. |
| Task automatability | claude-sonnet-5 | 2/5 | AI can help suggest which diagnostic tests fit a clinical picture, but the physical exam, patient interaction, and clinical judgment to order and arrange procedures require licensed human decision-making. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Regulatory and liability barriers are substantial: chiropractors must be licensed to recommend diagnostic procedures, clinical decision-making for diagnostic ordering is legally tied to the treating practitioner, and malpractice liability for incorrect or unnecessary test orders remains with the human provider. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Ordering diagnostic imaging and lab tests is a licensed medical act requiring practitioner authorization, with strong regulatory and liability barriers preventing AI substitution. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | AI-assisted interpretation tools reduce analysis time but don't eliminate the chiropractor's need to review, validate, and make final recommendations. The overhead of integration, human oversight, and liability review keeps total costs comparable to or potentially higher than human judgment alone. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | AI tools could cheaply suggest test options, but the overall task still requires a licensed practitioner's evaluation and order, so cost savings are limited to a small assistive portion. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | AI tools exist for interpreting x-rays and imaging (radiology AI, pathology analysis), but arranging diagnostic procedures in a clinical workflow requires integration with patient records, insurance verification, and clinical decision-making that remains human-dependent. No mature product independently handles the full task end-to-end in production. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | Clinical decision-support tools exist that suggest diagnostic tests based on symptoms, but none independently arrange or order diagnostics in chiropractic practice at scale. |
Advise patients about recommended courses of treatment.
12CI 4–20 · exposure 13 · augmentation 50 · importance 4.8/5 · click for rater detail
Advise patients about recommended courses of treatment.
12| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Healthcare adoption of AI for autonomous treatment advice remains very limited and cautious. Chiropractors operate in small practices with lower digitization than hospitals, and regulatory risk deters deployment of autonomous advisory systems. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Healthcare and allied health fields, especially small private practices like chiropractic clinics, show slow, cautious AI adoption for clinical advice due to liability and regulatory concerns. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can assist chiropractors by surfacing relevant literature, flagging contraindications, and organizing patient history, meaningfully augmenting the consultation process. However, the clinical judgment and patient interaction remain central to the task. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can help chiropractors draft patient education materials, summarize treatment options, or prepare explanations, improving communication efficiency while the practitioner retains decision authority. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI can synthesize diagnostic information and suggest evidence-based treatment options, the task requires interpreting patient-specific context, preferences, and risk factors in real-time dialogue. Current AI systems cannot reliably perform the full consultation end-to-end with the judgment and accountability a chiropractor must provide, though they could draft treatment recommendations for the human to review. |
| Task automatability | claude-sonnet-5 | 1/5 | Advising patients requires physical examination findings, clinical judgment, and licensed diagnostic authority that AI cannot perform end-to-end; only ancillary information-provision could be automated. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Chiropractors must be licensed and are legally accountable for patient care recommendations; regulatory frameworks explicitly require a licensed practitioner to evaluate and advise patients on treatment. This creates a hard legal barrier to full AI substitution. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Chiropractic treatment advice is a licensed clinical act with legal liability, requiring a credentialed practitioner to examine and advise patients directly. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | AI inference and oversight costs for meaningful treatment advice still require significant human review and validation, approaching the cost of direct clinician time. The liability and integration overhead make the all-in cost comparable to or higher than a junior clinician performing the task. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | While AI text generation is cheap, it cannot substitute for the licensed clinical judgment required, so any real cost comparison must include a chiropractor's oversight, keeping costs comparable to human-only delivery. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | No production system today reliably advises patients on chiropractic treatment courses autonomously. AI can provide treatment suggestions in controlled settings, but deployed products lack the clinical validation, liability indemnification, and real-world performance evidence needed in actual practice. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product provides chiropractic treatment recommendations directly to patients in clinical practice; this remains outside current product deployment. |
Consult with or refer patients to appropriate health practitioners when necessary.
5CI 3–7 · exposure 5 · augmentation 50 · importance 4.3/5 · click for rater detail
Consult with or refer patients to appropriate health practitioners when necessary.
5| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Healthcare adoption of clinical decision automation remains cautious and limited by regulatory scrutiny and liability concerns; most chiropractic referral workflows remain human-driven with only nascent AI integration in practice management systems. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Healthcare, especially chiropractic and small private practice settings, shows slow AI adoption for clinical decision-making tasks compared to information-sector benchmarks. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI could meaningfully assist by flagging specialist options, suggesting referral criteria, or organizing relevant patient history for the chiropractor's decision, but the consultation and final referral judgment must remain with the licensed practitioner. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can help summarize patient records, flag potential red-flag symptoms, or suggest relevant specialists, providing useful decision support while the chiropractor retains final judgment. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Consultation and referral decisions require clinical judgment about complex patient conditions, medical history synthesis, and relationship-building with other practitioners—all requiring licensed professional expertise that current AI cannot reliably execute autonomously. |
| Task automatability | claude-sonnet-5 | 1/5 | This task requires clinical judgment about a specific patient's condition and interpersonal coordination with other providers, which current AI cannot autonomously perform end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Chiropractors are licensed practitioners bound by scope-of-practice and malpractice liability; referral decisions carry clinical and legal responsibility that must remain with the licensed professional, creating a hard regulatory and liability barrier to substitution. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Referral decisions require licensed clinical judgment and carry direct liability implications for patient safety, making this a hard, legally-protected barrier. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The liability and malpractice risk from automated referral decisions means human oversight is non-negotiable, making any AI-only cost savings impossible; human chiropractor involvement remains mandatory. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute performing this task alone, so cost comparison favors the human chiropractor who must make the referral decision. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | While AI can assist in identifying relevant specialist types or guidelines, no deployed product reliably handles the full task of patient consultation and clinical referral decisions; systems remain at advisory or suggestion stages with significant human oversight required. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product independently evaluates a patient and initiates referrals to other practitioners; this remains a clinician-driven decision-making process. |
Evaluate the functioning of the neuromuscularskeletal system and the spine using systems of chiropractic diagnosis.
3CI 0–5 · exposure 5 · augmentation 25 · importance 4.9/5 · click for rater detail
Evaluate the functioning of the neuromuscularskeletal system and the spine using systems of chiropractic diagnosis.
3| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Chiropractic remains a small, traditionally slow-to-digitize sector with low AI adoption; practices are primarily small independent businesses with limited IT infrastructure and regulatory caution around diagnostic automation. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Chiropractic care is a physical, hands-on healthcare service with minimal digitization of the core diagnostic task, placing it among the slowest-adopting sectors for AI automation. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI can assist modestly by analyzing imaging (X-rays, MRI) or offering decision-support prompts, but the core diagnostic task—physical examination and clinical reasoning about the neuromusculoskeletal system—remains heavily dependent on human expertise and cannot be substantially augmented by current AI. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI can assist with documentation, imaging analysis support, or literature review, but offers little direct enhancement to the physical palpation and manual diagnostic process itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Evaluating the neuromuscloskeletal system and spine requires hands-on physical examination, palpation, range-of-motion testing, and real-time clinical judgment that current AI cannot perform. While AI can assist with imaging analysis, it cannot replicate the tactile diagnostic methods fundamental to chiropractic diagnosis. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires hands-on physical examination, palpation, and manipulation of a patient's body to assess spinal and neuromuscular function, which current AI cannot perform without robotic embodiment. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Chiropractic diagnosis is a legally regulated, licensed professional function; state licensing boards and liability law require a licensed chiropractor to perform and sign off on the diagnostic evaluation, creating a hard legal barrier to automation. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Chiropractic diagnosis and treatment is a licensed practice requiring hands-on physical assessment and legal scope-of-practice authorization, creating a hard regulatory and licensure barrier. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | AI tools that support imaging analysis (if deployed) would still require a licensed chiropractor to perform the full diagnostic evaluation, so AI cannot replace the human cost and would only reduce labor marginally if at all. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | Since AI cannot perform the physical examination at all, there is no viable AI-only cost basis to compare against the chiropractor's wage. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | No deployed AI system can independently perform chiropractic diagnosis; some research exists in imaging analysis and pose estimation from video, but these cover only fragments of the diagnostic process and lack clinical validation in chiropractic practice. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs physical chiropractic diagnostic examination; AI imaging or symptom-checker tools exist only as narrow adjuncts, not substitutes for hands-on evaluation. |
Suggest and apply the use of supports such as straps, tapes, bandages, or braces if necessary.
3CI 0–5 · exposure 0 · augmentation 25 · importance 3.4/5 · click for rater detail
Suggest and apply the use of supports such as straps, tapes, bandages, or braces if necessary.
3| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Healthcare adoption of AI for physical tasks remains minimal. Therapeutic support application is highly regulated and requires in-person, hands-on work in clinical settings where automation is not feasible or permissible. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Chiropractic care is a highly physical, hands-on healthcare service with minimal AI/robotic adoption for direct patient physical treatment tasks. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could marginally assist by suggesting which support type is appropriate based on clinical data, but this is a small part of the task. The bulk of the work—physical application and fit adjustment—cannot be augmented by AI in any meaningful way. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could assist with recommending appropriate support types via clinical decision support tools, but offers no assistance with the physical application itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires physical application of supports to a patient's body and clinical judgment about when and how to apply them. Current AI systems cannot physically manipulate objects or directly handle patients, and remote guidance alone cannot replace the hands-on skill and tactile feedback needed. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires physical assessment and hands-on application of physical supports directly on a patient's body, which current AI systems cannot perform end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Strong legal and regulatory barriers exist: chiropractors are licensed professionals, and the decision to apply and installation of therapeutic supports requires professional judgment, patient consent, and direct contact with the patient. This is legally a human professional responsibility. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Applying therapeutic supports typically requires clinical judgment and hands-on skill from a licensed practitioner, with liability concerns around improper application causing injury. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Since the task cannot be automated end-to-end, AI offers no cost advantage. A human chiropractor performing this task has no viable AI substitute, making the comparison moot and favoring human labor. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | Without any AI capable of physical application, there is no viable AI cost comparison; a human chiropractor or assistant remains the only option. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI product can reliably perform the physical application of straps, tapes, bandages, or braces to a patient. While AI might assist in suggesting which support to use, the actual application requires human physical labor that is not automatable by current technology. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed AI product physically applies straps, tapes, bandages, or braces to patients; this remains purely a research-fiction scenario for general AI. |
Perform a series of manual adjustments to the spine or other articulations of the body to correct the musculoskeletal system.
0CI 0–0 · exposure 0 · augmentation 25 · importance 4.9/5 · click for rater detail
Perform a series of manual adjustments to the spine or other articulations of the body to correct the musculoskeletal system.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Chiropractic is a hands-on, physically present service with minimal digitization. Adoption of AI in this sector remains negligible; the work is inherently tied to direct patient contact and manual skill, limiting any AI-driven displacement. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Manual therapy and hands-on healthcare sectors show minimal AI displacement due to the physical, licensed, high-touch nature of the work. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI can assist in diagnosis (imaging analysis, patient intake) and treatment planning, but offers minimal productivity enhancement to the core manual adjustment task itself, which depends on the practitioner's hands and real-time clinical judgment. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI can assist with diagnostic imaging analysis, treatment planning, or documentation, but offers no direct assistance during the physical adjustment itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Manual spinal adjustments require precise physical manipulation guided by real-time tactile feedback, proprioception, and dynamic assessment of patient response. Current AI systems cannot physically perform this task or replicate the expert judgment needed to adjust force, angle, and technique in response to individual patient anatomy. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires physical manipulation of a patient's body with precise force, tactile feedback, and real-time judgment; no AI system today can physically perform spinal adjustments. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Chiropractic licenses are legally required to perform adjustments in most jurisdictions, and malpractice liability is significant. Regulatory frameworks explicitly require a licensed practitioner to perform and take responsibility for these manipulations, creating hard legal barriers to automation. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Licensed chiropractors are legally required to perform spinal manipulation, and liability, patient safety, and physical touch requirements create hard barriers to any automated substitute. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The task is manual and inherently human-performed; no AI alternative system exists to compare costs. Robotics capable of precise spinal manipulation would be vastly more expensive than paying a chiropractor's loaded wage. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute performing this physical task, so no meaningful cost comparison exists; a human chiropractor remains the only option. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed product reliably performs manual chiropractic adjustments end-to-end. While diagnostic imaging AI exists, the core task of applying controlled force to articulations to achieve therapeutic effect remains entirely dependent on human practitioners. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs manual chiropractic adjustments; robotic manipulation of the human spine remains research-stage at best, not in clinical production. |
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.