Dental Hygienists
29-1292.00Median wage $98,100/yr222,740 employed (US)Rank #753 of 923 scored · top 82% by substitution
Administer oral hygiene care to patients. Assess patient oral hygiene problems or needs and maintain health records. Advise patients on oral health maintenance and disease prevention. May provide advanced care such as providing fluoride treatment or administering topical anesthesia.
Sub-scores
0–100 · band = confidence interval from rater disagreement
Substitution17
Exposure18
Augmentation37
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
16 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
6%
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%18
panel mean rating 1.7/5 → substitution pressure 18/100
Technical feasibility todayw 20%16
panel mean rating 1.6/5 → substitution pressure 16/100
Cost vs. human wagew 15%16
panel mean rating 1.6/5 → substitution pressure 16/100
Adoption barriersw 20%inverted — strong barriers lower the score16
panel mean rating 4.4/5 (barrier strength) → substitution pressure 16/100
Sector adoption velocityw 10%14
panel mean rating 1.6/5 → substitution pressure 14/100
Task breakdown (16 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 patient recall system.
86CI 72–100 · exposure 87 · augmentation 88 · importance 4.4/5 · click for rater detail
Maintain patient recall system.
86| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 5/5 | Dental practices have been adopting automated recall systems for over a decade; recall automation is now standard in modern practice management suites and represents deep, mature adoption across the sector. |
| Sector adoption velocity | claude-sonnet-5 | 3/5 | Dental practices, often small businesses, adopt practice-management software steadily but with mixed thoroughness and lag compared to larger digitized service sectors. |
| Augmentation potential | claude-haiku-4-5-20251001 | 5/5 | Even where human oversight remains, AI assistants augment hygienist productivity by auto-generating recall lists, flagging missed appointments, and optimizing scheduling, freeing staff to focus on clinical tasks. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI-driven scheduling and reminder tools significantly reduce administrative burden and improve recall compliance while staff retain oversight of exceptions and patient communication. |
| Task automatability | claude-haiku-4-5-20251001 | 5/5 | Maintaining a patient recall system is purely administrative and data-driven: scheduling follow-ups, sending reminders, updating contact information, and tracking appointment compliance. Current AI and workflow automation systems handle this end-to-end with minimal human oversight, delivering >50% time savings at equal quality. |
| Task automatability | claude-sonnet-5 | 4/5 | Patient recall scheduling and reminder systems (tracking due dates, sending automated reminders) are largely rule-based data management tasks well within current software/AI capability, requiring only setup and oversight. |
| Adoption barriers | claude-haiku-4-5-20251001 | 1/5 | No licensing, liability, or regulatory requirements mandate that a hygienist perform recall maintenance; it is a routine administrative function with no legal bar to full automation. |
| Adoption barriers | claude-sonnet-5 | 2/5 | No licensing requirement attaches to administrative recall tracking, though some practices prefer personal staff contact for patient relationship reasons, creating mild friction. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 5/5 | Automated recall systems cost pennies per patient per year in software fees, whereas manual recall coordination by a hygienist (or administrative staff) costs $15–30+ per patient in loaded labor; AI is orders of magnitude cheaper. |
| Cost vs. human wage | claude-sonnet-5 | 4/5 | Automated recall systems (SaaS platforms) cost a small fraction of hygienist or front-desk staff time spent manually tracking and contacting patients for recall visits. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 5/5 | Deployed practice management software (Dentrix, Eaglesoft, Asana, Zapier) already automates recall scheduling, email/SMS reminders, and compliance tracking reliably in production across thousands of dental practices at scale. |
| Technical feasibility today | claude-sonnet-5 | 4/5 | Dental practice management software with automated recall reminders, texting, and email follow-up is widely deployed in production across dental offices today. |
Record and review patient medical histories.
61CI 48–74 · exposure 62 · augmentation 88 · importance 4.9/5 · click for rater detail
Record and review patient medical histories.
61| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 4/5 | Dental practices and healthcare providers generally show strong adoption of EHR systems and AI-assisted documentation tools; uptake is fastest among larger group practices and integrated health systems. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Dental practices, especially small private offices, have historically slower digital and AI adoption rates compared to larger healthcare systems or professional services. |
| Augmentation potential | claude-haiku-4-5-20251001 | 5/5 | AI-powered history assistants meaningfully boost hygienist productivity by auto-populating records, flagging drug interactions and medical flags, and prompting follow-up questions, enabling the hygienist to focus on patient communication and clinical assessment rather than data entry. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI-assisted digital forms, voice-to-text, and automated flagging of risk factors (e.g., allergies, medications) can meaningfully speed up and improve accuracy of history-taking and review while the hygienist remains responsible for the clinical judgment. |
| Task automatability | claude-haiku-4-5-20251001 | 4/5 | Current AI systems can reliably extract, structure, and cross-reference patient medical histories from forms and records with high accuracy, reducing manual entry and review time by 70%+ through automated data population and flagging of relevant conditions or drug interactions. |
| Task automatability | claude-sonnet-5 | 3/5 | AI can transcribe, structure, and flag relevant items in medical histories reasonably well, but reviewing histories for clinical relevance still typically requires human clinical judgment to be fully trusted, limiting full end-to-end automation.' |
| Adoption barriers | claude-haiku-4-5-20251001 | 3/5 | HIPAA compliance, data security requirements, and malpractice liability create moderate friction; while AI can assist, hygienists and dentists typically retain legal responsibility for accuracy of recorded histories, requiring human oversight. |
| Adoption barriers | claude-sonnet-5 | 3/5 | Dental hygienists are licensed professionals with legal/clinical responsibility for accurate health record review, and patient privacy/liability considerations create moderate barriers to full automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 5/5 | Automated record review and data entry via AI costs substantially less than the time-loaded hygienist wage for manual transcription and cross-checking, especially when deployed across many patient interactions. |
| Cost vs. human wage | claude-sonnet-5 | 3/5 | Digital intake and summarization tools are cheap to run compared to staff time spent transcribing, but oversight and integration costs keep the net savings moderate rather than dramatic. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 4/5 | Deployed EHR systems and AI-powered medical record parsers already perform history intake and review at scale in dental and medical practices; however, occasional disambiguation of handwriting or inconsistent formats and the need for human verification of complex histories prevent a perfect 5. |
| Technical feasibility today | claude-sonnet-5 | 3/5 | EHR systems with NLP-based intake forms and AI-assisted summarization exist in dental/medical practices, but reliable clinical review integration is still narrow and often requires hygienist verification. |
Make impressions for study casts.
25CI 0–50 · exposure 33 · augmentation 50 · importance 2.8/5 · click for rater detail
Make impressions for study casts.
25| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 3/5 | Digital impression technology is growing in adoption among larger dental practices and orthodontic offices, but many smaller practices and rural areas still rely on traditional methods, indicating uneven and moderately-paced market penetration rather than rapid deep adoption. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Dental care is a low-digitization, physical-contact-heavy sector with minimal AI adoption for hands-on clinical procedures like this one. |
| Augmentation potential | claude-haiku-4-5-20251001 | 4/5 | Digital scanning tools significantly enhance dental hygienist productivity by reducing retake rates, speeding up the impression process, and providing immediate feedback on quality; the hygienist remains central to patient positioning, quality control, and clinical decision-making. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI-driven intraoral scanners and digital impression systems can assist by improving accuracy and speed, but the core task still relies on a human performing the physical procedure. |
| Task automatability | claude-haiku-4-5-20251001 | 4/5 | AI-assisted 3D scanning and digital impression capture can perform this task end-to-end with significant time savings compared to traditional manual impression techniques; however, current systems still require human setup, patient positioning, and quality verification, preventing a full 5-rating. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a hands-on physical procedure requiring direct manipulation of dental materials in a patient's mouth, which no current AI system can perform. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Clinical judgment about impression adequacy, patient safety liability, regulatory oversight of medical devices, and the requirement for a licensed dental hygienist to verify and sign off on impressions create substantial legal and organizational barriers to full automation. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Taking dental impressions is a licensed clinical procedure requiring hands-on patient contact and hygienist/dentist credentialing, creating hard regulatory and physical barriers to automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | Digital scanning systems represent significant upfront capital costs ($20K–$100K+) and per-use software fees that, when amortized across lower patient volumes in smaller practices, may not achieve cost parity with traditional impression materials and labor. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI substitute performing this physical task, so no cost comparison favors AI; the human hygienist remains the only option. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 3/5 | Intraoral 3D scanning systems exist and are deployed in dental practices, but they have limitations in capturing highly detailed impressions in difficult anatomies, and integration with existing workflows requires manual handoff and oversight. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed AI product or robotic system performs dental impression-taking in clinical practice today; this remains entirely a manual clinical skill. |
Chart conditions of decay and disease for diagnosis and treatment by dentist.
23CI 20–25 · exposure 25 · augmentation 50 · importance 4.5/5 · click for rater detail
Chart conditions of decay and disease for diagnosis and treatment by dentist.
23| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Dental practices are slower adopters of digital AI workflows compared to other healthcare sectors. While digital imaging is common, AI-assisted charting adoption remains limited to pilot programs in larger practices; small and independent practices lag significantly. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Dental practices are typically small, independently owned, and slow to digitize deeply beyond basic imaging software; AI adoption for diagnostic charting remains at pilot/adjunct stage. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can assist by highlighting suspicious regions on X-rays or intraoral images, flagging potential disease for the hygienist to review and chart more efficiently. This augmentation is real but incremental—it speeds review rather than transforming the core clinical assessment task. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI-based radiograph analysis and charting software can help flag decay or disease markers, improving consistency and speed, though the hygienist still performs and verifies the physical exam. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | AI can assist with detecting certain dental caries and periodontal disease from imaging (X-rays, intraoral photos) via computer vision, but charting requires clinical judgment, manual exploration, tactile feedback, and patient context that current systems cannot replicate end-to-end. AI analysis would still require substantial human verification and manual documentation. |
| Task automatability | claude-sonnet-5 | 2/5 | Requires direct intraoral examination, tactile probing, and visual assessment of tissue and tooth conditions, which current AI cannot perform without human-operated sensors and physical presence; some charting from imaging can be assisted but the full task is not automatable end-to-end today. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Dental hygienists must be licensed and are legally authorized to chart conditions; dentists retain diagnostic responsibility. Liability concerns are high—missed disease carries real harm—and regulatory frameworks (state boards, ADA standards) require qualified human judgment in the charting process itself. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Dental charting for diagnosis requires a licensed dental professional, physical contact with the patient, and legal accountability for clinical records, making this a hard-barrier task. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | Current AI imaging analysis tools are expensive to deploy, maintain, and integrate into dental practice workflows. When combined with required human verification and charting, the all-in cost remains comparable to or exceeds direct human charting labor. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | AI imaging tools add cost on top of the hygienist's labor rather than replacing it, since physical examination and probing still require a human professional; net cost savings are limited. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | AI dental imaging analysis products exist in research and limited deployment (e.g., caries detection in radiographs), but they function as diagnostic aids with notable error rates rather than autonomous charting systems. No mature production system reliably replaces the hygienist's full charting workflow without human oversight. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | AI-assisted dental imaging analysis (e.g., caries detection software) exists but is narrow, used as an adjunct tool rather than replacing the hygienist's full charting workflow including periodontal probing and clinical notes. |
Maintain dental equipment and sharpen and sterilize dental instruments.
18CI 5–30 · exposure 13 · augmentation 13 · importance 4.5/5 · click for rater detail
Maintain dental equipment and sharpen and sterilize dental instruments.
18| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Dental practices are fragmented (many small independent offices) with low digital maturity. While autoclaves are standard, they are decades-old technology; adoption of new AI-driven maintenance or sterilization systems is minimal because existing protocols are entrenched and perceived as reliable. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Dental practices are low-digitization, physical-task environments where robotic automation of instrument maintenance is essentially nonexistent in current adoption patterns. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could assist with equipment maintenance alerts or scheduling, but the core task of sterilizing instruments and sharpening tools is already straightforward and rule-based; augmentation potential is limited because the human bottleneck is manual handling, not decision-making complexity. |
| Augmentation potential | claude-sonnet-5 | 1/5 | AI provides no meaningful assistance to the physical acts of sharpening, cleaning, or sterilizing dental instruments. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | Sterilization of instruments can be partially automated with autoclave machines, and tool sharpening can be mechanized, but the full task involves inspection, quality assurance, and complex equipment maintenance that requires human judgment and physical dexterity. Current AI cannot reliably diagnose equipment faults or ensure instruments meet clinical standards end-to-end. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical, hands-on task involving cleaning, sharpening, and sterilizing tools that requires manual dexterity and physical presence; no AI system can perform these physical actions. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Sterilization and instrument maintenance are subject to strict regulatory requirements (OSHA, CDC, state dental board rules) that often mandate specific procedures and human verification. Liability and infection-control compliance create strong legal and organizational friction against full automation without licensed professional sign-off. |
| Adoption barriers | claude-sonnet-5 | 3/5 | While no strict licensing law mandates a hygienist personally sharpen instruments, infection control and sterilization protocols are regulated and require accountable human execution, creating moderate procedural barriers. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | Existing automation (autoclaves) is capital-intensive with high upfront and maintenance costs. Per-task labor savings are modest because most steps still require human oversight, inspection, and judgment, making the total cost structure unfavorable compared to a dental hygienist's hourly wage. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI substitute for this physical labor, so the human remains the only viable and thus cheaper (by default) option relative to any nonexistent AI alternative. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | Autoclaves and some sharpening equipment exist, but they are standalone mechanical systems, not AI-driven. No deployed AI product meaningfully automates the diagnostic, maintenance, or quality-control aspects of this task in production dental settings today. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed AI product performs physical maintenance, sharpening, or sterilization of dental instruments; this remains entirely a manual, physical workflow. |
Expose and develop x-ray film.
16CI 7–25 · exposure 13 · augmentation 25 · importance 4.5/5 · click for rater detail
Expose and develop x-ray film.
16| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | While digital x-ray systems are increasingly replacing film-based processes in dental practices, the underlying task is being eliminated by technology shift rather than automated through AI; legacy film-based practices still perform this task manually. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Dental practices are a physically-oriented, small-business-dominated sector with slow technology adoption relative to information-sector fields; digital sensors are common but full automation of the task is rare. |
| Augmentation potential | claude-haiku-4-5-20251001 | 1/5 | AI offers no assistance to a dental hygienist performing the physical, procedural steps of exposing and developing x-ray film, as the task is entirely hands-on manual chemistry and equipment operation. |
| Augmentation potential | claude-sonnet-5 | 3/5 | Digital imaging software assists with instant image processing, enhancement, and storage, improving hygienist efficiency, though the physical film exposure step still requires the human. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | X-ray film exposure and development is a hands-on manual and chemical process requiring physical equipment operation, precise timing, and material handling. Current AI systems have no capability to physically manipulate x-ray film or control darkroom chemistry. |
| Task automatability | claude-sonnet-5 | 2/5 | Positioning patients and physically exposing dental x-ray film requires hands-on manipulation and physical presence; only the digital development/processing step is automatable, not the physical exposure.It requires manual physical work with the patient that current AI cannot perform. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Dental x-ray exposure and development is regulated by state dental boards and federal radiation safety standards, requiring a licensed dental hygienist to perform or directly supervise the procedure under OSHA and NRC guidelines. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Operating x-ray equipment on patients typically requires licensure/certification and adherence to radiation safety regulations, creating strong legal and safety barriers to full automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | AI cannot perform this task at all, making cost comparison moot; manual performance by a dental hygienist remains the only option. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | Digital radiography equipment reduces processing costs versus wet-film development, but the human labor for patient positioning and exposure still dominates cost, so overall AI substitution offers little savings. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI products perform this purely physical task. The task requires direct manipulation of physical materials in controlled environments, which remains outside the scope of current AI systems. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | Digital x-ray sensors automate the 'development' step via software, but no product autonomously positions and exposes film on patients; this remains a manual clinical task performed by a hygienist. |
Feel and visually examine gums for sores and signs of disease.
13CI 0–25 · exposure 13 · augmentation 38 · importance 4.8/5 · click for rater detail
Feel and visually examine gums for sores and signs of disease.
13| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Dental practices are moderately digitized but adoption of AI-driven gum examination is still in pilot phase. Hygienists and dentists remain skeptical of full replacement, and regulatory/malpractice concerns slow production deployment despite available technology. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Clinical dental care is a low-digitization, physically-mediated sector where AI adoption for hands-on exams is essentially nonexistent. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI-assisted intraoral imaging with annotated anomaly detection can guide the hygienist's attention and document findings, moderately improving thoroughness and consistency. However, the tactile component and clinical judgment remain largely human-driven, limiting augmentation upside. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI-assisted imaging or documentation tools can support record-keeping or flag radiographic anomalies, but they offer minimal assistance to the direct tactile/visual gum examination itself. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | Visual examination of gums could be partially automated via intraoral imaging and AI analysis, but the tactile assessment (feeling for sores, texture changes, mobility) remains difficult for current systems without specialized hardware. Current AI can flag visible anomalies but cannot reliably detect all disease signs at the quality level required for clinical safety. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires direct physical tactile examination and intraoral visual inspection of a patient's mouth, which current AI systems cannot physically perform at all. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Clinical diagnosis and documentation of oral disease carries liability and regulatory requirements; a licensed dental hygienist must perform or validate findings in most jurisdictions. Patient contact and the medico-legal responsibility for missed disease detection create strong legal and professional barriers to full automation. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Dental hygiene is a licensed clinical profession requiring hands-on patient contact, and legal/regulatory standards mandate a qualified human perform intraoral exams. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | Integration of imaging equipment, AI software, and the human oversight required to validate findings costs substantially. When amortized per examination, the total cost (hardware, software licensing, hygienist review time) remains comparable to or higher than direct human examination. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI system capable of performing this physical task, so cost comparison favors the human by default since AI cannot substitute at all. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | While AI image analysis tools exist for dental pathology detection, no deployed product reliably performs both visual and tactile assessment end-to-end. Research prototypes show promise on image analysis alone, but production systems have not achieved the sensitivity and specificity needed for independent clinical deployment in this context. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs hands-on periodontal probing or physical gum examination; AI imaging tools exist only as adjunct diagnostic aids reviewed by clinicians, not substitutes for the physical exam. |
Examine gums, using probes, to locate periodontal recessed gums and signs of gum disease.
7CI 0–14 · exposure 13 · augmentation 38 · importance 4.8/5 · click for rater detail
Examine gums, using probes, to locate periodontal recessed gums and signs of gum disease.
7| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Dental practices remain relatively low in digital adoption and heavily rely on in-person, hands-on examination. The physical nature of the task and regulatory constraints mean AI adoption for autonomous execution is negligible in the sector. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Dental hygiene is a hands-on healthcare field with minimal robotic automation deployment for physical exams, reflecting slow adoption in this specific physical task domain. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can assist by analyzing photographs for potential disease indicators or flagging areas of concern on intraoral images, helping the hygienist prioritize examination areas and potentially improving thoroughness, but the core probing assessment remains human-dependent. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI can assist with charting, record-keeping, or interpreting radiographs alongside the exam, but offers little direct assistance to the physical probing action itself. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI vision systems can detect visual signs of gum disease from images, the tactile component of probing gums and assessing pocket depth requires physical contact and real-time haptic feedback that current AI cannot perform autonomously. The task requires in-mouth manipulation and direct assessment that cannot be meaningfully automated today. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires direct physical manipulation of a probe inside a patient's mouth combined with tactile feedback and clinical judgment, which current AI systems cannot perform end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | State dental licensing laws explicitly require a licensed dental hygienist to perform periodontal examinations and probe gums; the task cannot legally be performed autonomously without a licensed professional. Additionally, liability for misdiagnosis creates strong regulatory and legal barriers. |
| Adoption barriers | claude-sonnet-5 | 5/5 | This is a licensed clinical procedure requiring hands-on physical contact and professional certification, with direct patient safety and liability implications. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The equipment and AI infrastructure needed for autonomous oral examination, combined with liability and oversight costs, would be substantially more expensive than the cost of a hygienist performing this examination directly, making economic substitution unfavorable. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute for physical probing, so cost comparison favors the human hygienist entirely. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | AI-assisted diagnostic tools exist for analyzing intraoral images, but no deployed system reliably performs the full probing examination autonomously. Products supporting image analysis exist but still require a human hygienist to perform the actual periodontal examination and clinical assessment. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs physical periodontal probing; AI imaging aids exist only for adjunct diagnostic support, not the physical exam itself. |
Clean calcareous deposits, accretions, and stains from teeth and beneath margins of gums, using dental instruments.
4CI 0–9 · exposure 8 · augmentation 13 · importance 4.8/5 · click for rater detail
Clean calcareous deposits, accretions, and stains from teeth and beneath margins of gums, using dental instruments.
4| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Dental practices remain highly fragmented, often small operators with limited IT infrastructure and high reliance on skilled manual labor. Adoption of automation in clinical dentistry has been slow, and mechanical cleaning automation is nascent, if present at all. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Healthcare/dental service delivery is a physical, low-digitization sector with minimal automation of hands-on clinical procedures; adoption of AI for direct patient treatment is essentially nonexistent. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could potentially assist with pre-visit imaging analysis to highlight problem areas for the hygienist, but current systems offer minimal in-task augmentation during actual cleaning work. The dexterity and sensory demands of the task limit meaningful real-time AI support today. |
| Augmentation potential | claude-sonnet-5 | 1/5 | Current AI offers no meaningful in-procedure assistance for the physical act of scaling and cleaning teeth, though it may help with scheduling or documentation elsewhere in the job. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | While AI vision systems can identify deposits and stains with reasonable accuracy, the physical manipulation of dental instruments to clean teeth requires precise haptic feedback and real-time adaptation to variable mouth anatomy—capabilities not yet available in deployed robotic systems. Current dental robotics are research-stage or highly constrained, falling well short of the 50% time-saving threshold for unsupervised end-to-end execution. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical, manual dexterity task requiring direct intraoral manipulation of instruments; no current AI system (including robotics) can perform tooth scaling and root planing end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Dental hygiene is a licensed profession; regulations in virtually all jurisdictions require a credentialed human dental hygienist or dentist to perform tooth scaling and cleaning. Patient safety, infection control, and liability law create hard barriers to full automation without explicit regulatory change. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Dental hygiene is a licensed clinical procedure requiring hands-on human performance, direct patient contact, and legal scope-of-practice authorization, creating hard regulatory and safety barriers. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Robotic systems capable of dental cleaning remain prohibitively expensive in capital and maintenance costs compared to the hourly wage of a dental hygienist, with no path to parity in the near term given the precision and safety requirements. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI-driven alternative delivering this physical service, so AI cost is effectively infinite relative to a hygienist's wage for this task. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No commercial dental cleaning robot achieves reliable, independent performance of this full task in production settings. Existing systems are laboratory prototypes or require extensive human guidance and correction, making them unsuitable for real-world clinical deployment at scale. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs dental scaling/cleaning autonomously; dental robotics for this exact task remain research/prototype stage at best. |
Provide clinical services or health education to improve and maintain the oral health of patients or the general public.
4CI 0–9 · exposure 8 · augmentation 50 · importance 4.7/5 · click for rater detail
Provide clinical services or health education to improve and maintain the oral health of patients or the general public.
4| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Dental practices are slow adopters of automation for core clinical tasks; most adoption has been in administrative and non-clinical areas (scheduling, record-keeping). The small-firm structure of many dental offices and the hands-on nature of the work limit rapid AI integration. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Healthcare delivery, especially hands-on clinical dental care, is a slow-adopting, highly regulated, physically-mediated sector with minimal AI agent deployment in direct patient care. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can assist dental hygienists through image analysis tools for periodontal assessment, automated patient education materials, and documentation support, meaningfully improving workflow efficiency. However, augmentation is limited to support functions rather than transformative changes to the clinical service delivery itself. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can support the health education component via patient information tools, appointment reminders, and educational content generation, but offers no assistance for the physical clinical procedures. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | Dental hygiene involves direct physical contact with patients (scaling, polishing, fluoride application) that current AI cannot perform. While AI could assist in patient education content creation and basic oral health assessments from images, the core clinical interventions require human hands and cannot be fully automated with 50% time savings at equal quality today. |
| Task automatability | claude-sonnet-5 | 1/5 | Clinical dental hygiene services require physical manipulation of instruments in a patient's mouth (scaling, polishing, probing), which current AI systems cannot perform; only a minor education/counseling component could be assisted by AI. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Dental hygiene is a licensed profession with legal restrictions: only licensed hygienists can perform clinical services, and state dental boards regulate scope of practice. Patient contact and direct oral intervention are non-negotiable legal and professional requirements that prevent substitution by AI. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Dental hygiene is a licensed profession requiring hands-on physical contact and legal scope-of-practice authorization; regulations mandate a licensed professional perform these clinical services. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | AI cannot yet replicate the clinical delivery aspect, so the cost comparison is moot; the human practitioner remains irreplaceable for the core task. Any AI-based supplementary tools (educational content, imaging analysis) remain more expensive than the value they provide when integrated into practice workflows. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI substitute for the physical clinical procedures, so cost comparison is not applicable/AI cannot replace the labor-intensive hands-on component at all. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed product reliably performs the clinical services component of this task (subgingival scaling, root planing, periodontal therapy). AI systems for dental imaging analysis and educational content exist but do not substitute for the hands-on clinical work that defines the hygienist role. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs hands-on dental hygiene clinical work; AI chatbots for oral health education exist but are not integrated into clinical service delivery. |
Conduct dental health clinics for community groups to augment services of dentist.
3CI 0–5 · exposure 0 · augmentation 38 · importance 3.0/5 · click for rater detail
Conduct dental health clinics for community groups to augment services of dentist.
3| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | This task occurs in regulated healthcare settings with strong professional licensing requirements; healthcare remains a laggard sector for AI automation of direct clinical services. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Dental hygiene and community health outreach are low-digitization, physically-delivered services with minimal AI adoption in this specific activity. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could assist with limited functions such as appointment scheduling or generating educational materials for clinic presentations, but cannot augment the core clinical work of examination, assessment, and patient counseling in the community health clinic setting. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can help prepare educational materials, presentations, and health information content used in these clinics, offering moderate productivity support. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task fundamentally requires in-person presence in a clinical community setting, direct patient interaction, and clinical judgment about when to refer to a dentist. Current AI cannot conduct face-to-face health clinics or perform oral examinations. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires live, in-person interpersonal presentation, physical demonstration, and community engagement that current AI cannot perform end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Dental hygienists are licensed professionals; conducting dental health clinics legally requires proper licensure, clinical judgment, and direct patient contact. Regulatory barriers and liability make substitution infeasible. |
| Adoption barriers | claude-sonnet-5 | 4/5 | Public health outreach often involves licensed practitioners, liability for health advice, and community trust/authorization requirements that favor human delivery. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | A dental hygienist's labor cost for running a community clinic is far lower than the infrastructure, oversight, and liability costs of deploying an AI system to attempt this task, which would still require human oversight. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI system delivering this in-person service, so cost comparison favors the human by default. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI system can independently conduct dental health clinics; this requires licensed clinical practitioners to perform intraoral assessments, patient counseling, and clinical decision-making in real time. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product conducts in-person community health clinics; this is a human physical and social presence task with no AI substitute in production. |
Attend continuing education courses to maintain or update skills.
0CI 0–0 · exposure 0 · augmentation 38 · importance 4.5/5 · click for rater detail
Attend continuing education courses to maintain or update skills.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | This task is not subject to automation adoption because it is a regulatory compliance obligation tied to individual licensure, not an operational workflow that sectors choose to optimize. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Dental/healthcare licensing is a highly regulated, slow-changing sector with no movement toward AI substituting for personal CE requirements. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could marginally assist by summarizing course materials or generating study aids, but the core task—active learning and course attendance—cannot be augmented in any meaningful way that changes the human's fundamental obligation. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can help hygienists find relevant courses, summarize content, or create study aids, providing moderate assistance to the learning process itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Attending continuing education courses is fundamentally a human learning activity involving enrollment, participation, assessment, and credential updates. Current AI cannot substitute for the human act of course attendance and skill acquisition required by dental licensing boards. |
| Task automatability | claude-sonnet-5 | 1/5 | Attending continuing education requires personal licensure compliance, physical/live participation, and human learning; AI cannot attend courses on a hygienist's behalf. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Dental boards legally mandate that individual hygienists complete and document their own continuing education hours. Regulatory requirements and licensing rules create hard barriers preventing any third party or AI system from satisfying this obligation. |
| Adoption barriers | claude-sonnet-5 | 5/5 | State licensing boards mandate that the individual licensed hygienist personally complete CE hours; this cannot be delegated or automated away. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | AI systems cannot reduce the cost of mandatory continuing education; the course fees, materials, and time investment are fixed human requirements. Attempting AI substitution would violate licensing requirements, making comparison economically irrelevant. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI substitute for course attendance, so cost comparison is moot—AI cannot replace this human-required activity. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed product can autonomously attend courses, pass exams, or satisfy regulatory continuing education requirements on behalf of a licensed professional. This requires human presence and active participation. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs continuing education attendance for a licensed professional; this remains an individual regulatory obligation. |
Apply fluorides or other cavity preventing agents to arrest dental decay.
0CI 0–0 · exposure 0 · augmentation 13 · importance 4.5/5 · click for rater detail
Apply fluorides or other cavity preventing agents to arrest dental decay.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Dental practices remain low-digitization, physical-procedure-dependent environments with limited automation adoption. Hygiene tasks remain human-performed across all practice types and sizes. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Dental care is a highly physical, in-person healthcare service with minimal AI-driven automation of hands-on procedures; adoption of physical automation in this space is essentially nonexistent. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI tools could assist with patient education or scheduling, but offer minimal augmentation for the core manual task of applying cavity-preventing agents, which requires direct clinical judgment and hand-eye coordination in real time. |
| Augmentation potential | claude-sonnet-5 | 1/5 | AI offers no meaningful assistance to the physical act of applying fluoride agents, though it may help with unrelated administrative or diagnostic aspects of the broader visit. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Applying fluorides to teeth requires direct physical manipulation of instruments in the oral cavity, precise positioning, and real-time visual-tactile feedback. Current AI systems cannot perform the manual dexterity, patient positioning, and in-mouth placement required for this clinical procedure. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a hands-on clinical procedure requiring physical manipulation of instruments inside a patient's mouth; no AI system can perform the physical application of fluoride treatments. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Dental hygiene is a regulated licensed profession; fluoride application is a scope-of-practice procedure that must be performed or directly supervised by a licensed dental hygienist or dentist. State dental boards legally control who may apply therapeutic agents in the oral cavity. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Applying fluoride treatments is a licensed clinical procedure that legally must be performed by a dental hygienist or dentist, with direct physical patient contact and liability requirements. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | A dental hygienist performs this task in minutes as part of standard preventive care ($50–100 per procedure). Any robotic or automated system capable of performing it reliably would require millions in capital investment and maintenance, far exceeding per-procedure human labor cost. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | AI cannot perform this physical task at all, so there is no viable cost comparison—robotics for this specific application do not exist as deployable products. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI or robotic system performs routine fluoride application in dental practice today. While robotic dental systems exist in research, they are not used in production dental hygiene settings for this task. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed AI product performs physical dental treatments; this remains purely a manual clinical task requiring human dexterity and touch. |
Feel lymph nodes under patient's chin to detect swelling or tenderness that could indicate presence of oral cancer.
0CI 0–0 · exposure 0 · augmentation 25 · importance 4.3/5 · click for rater detail
Feel lymph nodes under patient's chin to detect swelling or tenderness that could indicate presence of oral cancer.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | This task depends on direct physical contact with patients and cannot be automated regardless of sector digitization; adoption of AI for this specific manual task is not occurring because it is technologically infeasible. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Dental hygiene involves in-person physical care with minimal AI adoption for hands-on clinical exams; the sector is a laggard for this specific task type. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could assist by analyzing intraoral or extraoral imaging to flag suspicious nodes for the hygienist to examine, but the core palpation skill and clinical decision-making remain entirely human-dependent with minimal augmentation potential. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could theoretically assist with documentation or flagging risk factors from patient history, but offers negligible help with the physical palpation and tactile detection itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Palpating lymph nodes requires tactile feedback, fine motor control, and clinical judgment that current AI systems cannot perform. No AI system can physically touch a patient or reliably detect subtle swelling and tenderness through imaging alone. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires physical tactile palpation of a patient's neck/jaw region, which current AI systems cannot perform as they lack embodied physical manipulation capability in clinical settings. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Dental practice regulations require licensed hygienists to perform oral screening and palpation as part of professional scope of practice, and patient safety and liability require a qualified human clinician to conduct this physical examination. |
| Adoption barriers | claude-sonnet-5 | 5/5 | This is a hands-on clinical assessment requiring licensed practitioner touch and judgment, with direct patient contact and diagnostic liability, representing a hard barrier to automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | AI cannot perform this task at all, making cost comparison moot; the human hygienist remains essential and cannot be replaced by current technology. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute performing this physical exam task, so any cost comparison favors the human hygienist by default. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed product performs manual palpation of lymph nodes; this is a fundamentally physical task requiring direct human-patient contact that AI cannot execute in real-world clinical settings. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs manual palpation for lymph node examination; this remains a purely research-stage robotics challenge if attempted at all. |
Administer local anesthetic agents.
0CI 0–0 · exposure 0 · augmentation 13 · importance 3.9/5 · click for rater detail
Administer local anesthetic agents.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | There is no measurable adoption of AI or automation for anesthetic administration in dental practices, as the legal and regulatory barriers prevent any substitution pathway. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Dental care is a highly physical, in-person healthcare sector with minimal AI adoption for hands-on clinical procedures, and no momentum toward automating injections. |
| Augmentation potential | claude-haiku-4-5-20251001 | 1/5 | AI offers negligible assistance for the core task of administering anesthetics. While AI might support pre-procedural planning or documentation, it cannot meaningfully augment the clinical execution of injection itself. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could assist with treatment planning, dosage calculation reminders, or patient records, but offers negligible direct assistance to the physical act of administering an injection. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Administering local anesthetic agents requires direct physical needle insertion and precise anatomical knowledge that current AI cannot perform. The task involves hands-on clinical manipulation that cannot be automated by any deployed system today. |
| Task automatability | claude-sonnet-5 | 1/5 | Administering local anesthetic requires physical manipulation of injection equipment inside a patient's mouth, precise anatomical targeting, and real-time tactile/patient feedback response—no AI system today can perform this physical clinical act. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Administering anesthetic agents is a regulated clinical procedure requiring licensure as a dental hygienist. Legal and professional standards mandate that only licensed practitioners can perform this task, creating an insurmountable barrier to automation. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Administering anesthetic is a licensed clinical procedure requiring hygienist/dentist certification, direct legal liability, and physical patient contact—among the strongest possible regulatory and safety barriers to automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | AI cannot yet perform this task at any cost, making direct cost comparison impossible. Robotic systems capable of precise injection exist only in research settings and would be prohibitively expensive compared to a hygienist's labor. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI substitute performing this physical task, so cost comparison is moot; any hypothetical robotic system would require expensive specialized hardware far exceeding current labor costs. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed product or AI system can physically administer injectable anesthetics. This requires mechanical dexterity, real-time tactile feedback, and direct patient contact that remains firmly in the realm of human-performed clinical work. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs intraoral anesthetic injections; this remains firmly in the realm of human clinical practice with no robotic dental anesthesia systems in production use. |
Remove excess cement from coronal surfaces of teeth.
0CI 0–0 · exposure 0 · augmentation 13 · importance 3.8/5 · click for rater detail
Remove excess cement from coronal surfaces of teeth.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Dental practices remain lower in digitization and automation adoption compared to information-intensive sectors; this specific manual task shows no meaningful AI/robotic adoption signal in the industry. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Clinical dental hygiene is a highly physical, in-person healthcare task with essentially no AI/robotic adoption for direct intraoral procedures. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | Visual AI aids (intraoral cameras with AI-assisted detection of remaining cement) could modestly assist identification, but the core manual removal task itself offers minimal augmentation opportunity since the hygienist must perform the physical work. |
| Augmentation potential | claude-sonnet-5 | 1/5 | Current AI tools (e.g., imaging or scheduling software) offer no meaningful assistance for the physical act of scraping cement off tooth surfaces. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Removing excess cement from tooth surfaces requires precise tactile feedback, visual discrimination in a wet oral environment, and fine motor control with hand instruments inside a patient's mouth. No current AI system can perform this end-to-end in the oral cavity without direct human manipulation. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a fine-motor, physical dental procedure requiring direct intraoral manipulation with hand instruments; no current AI system can perform this physical task at all, let alone with time savings at equal quality. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Dental procedures involving direct patient contact and tissue manipulation are heavily regulated; only licensed dental professionals can legally perform or supervise intraoral instrumentation, creating hard legal and liability barriers to automation. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Removing dental cement is an invasive clinical procedure legally restricted to licensed dental professionals, with direct patient safety and liability implications requiring hands-on human execution. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The task is too specialized and requires human presence and dexterity; any robotic system would cost orders of magnitude more than the labor cost of a dental hygienist performing this routine procedure, with unacceptable liability risk. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute performing this physical task, so AI cost is effectively infinite relative to the human hygienist's wage for this specific act. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed product performs in-mouth cement removal autonomously. This requires physical manipulation in a constrained, delicate space with real-time sensory feedback that current robotics and AI systems cannot reliably achieve in clinical practice. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs intraoral dental hygiene procedures; this remains far outside current robotics/AI capabilities in clinical practice. |
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.