Oral and Maxillofacial Surgeons
29-1022.00Median wage $352,220/yr4,910 employed (US)Rank #923 of 923 scored · top 100% by substitution
Perform surgery and related procedures on the hard and soft tissues of the oral and maxillofacial regions to treat diseases, injuries, or defects. May diagnose problems of the oral and maxillofacial regions. May perform surgery to improve function or appearance.
Sub-scores
0–100 · band = confidence interval from rater disagreement
Substitution3
Exposure2
Augmentation43
Substitution — the headline: capability discounted by cost, barriers and adoption.
Exposure — technical capability alone, regardless of whether anyone deploys it.
Augmentation — how much AI assists without replacing. High here + moderate substitution = a changing job, not a disappearing one.
Tasks on the substitution scale
14 rated tasks, binned by substitution score.
Position among all scored occupations
Distribution of 923 occupation scores; the marker is this occupation.
Tasks with substitution ≥ 70
0%
Run 1.0.0-draft.1 · computed 2026-08-05 · rater panel: claude-sonnet-5, claude-haiku-4-5-20251001 · intervals span rater disagreement.
Why this score
The five weighted dimensions of the composite, averaged across this occupation's tasks (importance-weighted, panel mean). Exact weights and formulas: /api/v1/methodology.
Task automatabilityw 35%2
panel mean rating 1.1/5 → substitution pressure 2/100
Technical feasibility todayw 20%3
panel mean rating 1.1/5 → substitution pressure 3/100
Cost vs. human wagew 15%3
panel mean rating 1.1/5 → substitution pressure 3/100
Adoption barriersw 20%inverted — strong barriers lower the score2
panel mean rating 4.9/5 (barrier strength) → substitution pressure 2/100
Sector adoption velocityw 10%7
panel mean rating 1.3/5 → substitution pressure 7/100
Task breakdown (14 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.
Evaluate the position of the wisdom teeth to determine whether problems exist currently or might occur in the future.
23CI 20–25 · exposure 25 · augmentation 63 · importance 4.6/5 · click for rater detail
Evaluate the position of the wisdom teeth to determine whether problems exist currently or might occur in the future.
23| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | While some dental practices adopt AI-assisted imaging tools, adoption of AI for independent diagnostic reasoning about wisdom teeth remains limited; most practices still rely on surgeon review, and regulatory/liability concerns slow integration into clinical workflows. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Dental/surgical practices are generally slower adopters of AI diagnostic tools compared to digital-native sectors, with imaging AI still in early pilot phases in most oral surgery practices. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI-powered imaging analysis can assist surgeons by highlighting tooth position, segmentation, and obvious anatomical landmarks, streamlining their review; however, the core judgment task (risk assessment, treatment planning) remains heavily surgeon-driven, so augmentation is partial rather than transformative. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI-based radiograph analysis can help surgeons quickly identify impaction angles, root proximity to nerves, and flag anomalies, meaningfully speeding up and improving the diagnostic assessment process. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | Current AI can identify teeth in radiographs and flag obvious anatomical anomalies, but determining clinical significance of wisdom tooth positioning—risk of impaction, nerve involvement, crowding effects, and personalized future problems—requires nuanced spatial reasoning, temporal prediction, and integration with patient anatomy that AI cannot reliably do end-to-end today. |
| Task automatability | claude-sonnet-5 | 2/5 | While AI can analyze dental radiographs/CBCT scans to flag wisdom tooth positioning and impaction risk, the full clinical evaluation includes physical exam, patient history, symptom correlation, and judgment calls that current systems cannot fully replace end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Oral and maxillofacial surgery is a licensed specialty requiring professional credentialing and liability responsibility; diagnosis and treatment planning decisions must be made or signed off by a licensed surgeon, creating a hard legal barrier to full automation. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Diagnosis and treatment planning for wisdom teeth is a licensed medical/dental act requiring a qualified surgeon's professional judgment and legal accountability, making autonomous AI diagnosis legally impermissible. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | Inference cost for dental imaging analysis is low, but the task requires expert surgeon interpretation; the AI assists in image preprocessing but does not replace the surgeon's evaluation, so all-in cost remains dominated by professional labor. |
| Cost vs. human wage | claude-sonnet-5 | 2/5 | Imaging AI software has licensing and integration costs plus required surgeon oversight, so while cheaper per scan than added human review time, it doesn't replace the surgeon's billable evaluation, keeping overall cost comparable to human-only workflows. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | AI models can detect teeth and segments in dental imaging with moderate accuracy, but no production system reliably makes the clinical judgment call (present vs. future problems) that a surgeon requires; research prototypes exist but lack the precision and liability profile for independent clinical use. |
| Technical feasibility today | claude-sonnet-5 | 2/5 | AI-assisted dental imaging analysis tools exist and are used in some practices for detection/flagging, but they are adjuncts to, not replacements for, surgeon evaluation, and are not yet standard-of-care diagnostic products. |
Collaborate with other professionals, such as restorative dentists and orthodontists, to plan treatment.
9CI 3–16 · exposure 5 · augmentation 50 · importance 4.7/5 · click for rater detail
Collaborate with other professionals, such as restorative dentists and orthodontists, to plan treatment.
9| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Healthcare sectors adopt AI cautiously due to regulatory and liability constraints; even where digital tools exist, human-to-human multidisciplinary planning remains the standard, with slow adoption of AI-mediated collaboration. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Healthcare/dental practice adoption of AI for clinical decision-making remains slow and cautious, with pilots limited to imaging or documentation rather than collaborative planning. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can assist by organizing patient data, flagging relevant cases, and suggesting evidence-based options, which may help human surgeons prepare for and structure collaboration with other specialists. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can assist by generating imaging analyses, treatment simulations, or draft plans that professionals then discuss and refine collaboratively. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires real-time interpersonal negotiation, clinical judgment synthesis across specialties, and decision-making that integrates different professional perspectives. Current AI cannot meaningfully participate as a collaborator in multidisciplinary treatment planning. |
| Task automatability | claude-sonnet-5 | 1/5 | Interdisciplinary treatment planning requires real-time clinical judgment, negotiation, and integration of complex physical exam findings that current AI cannot autonomously perform end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Professional collaboration on patient care carries high liability implications and regulatory oversight (standard of care, documentation requirements). Licensing laws and malpractice frameworks require that qualified human professionals be responsible for treatment decisions. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Licensed surgeons and dentists must legally evaluate patients and sign off on treatment plans, making this a hard regulatory and liability barrier to automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | AI summary and case-management tools exist but require significant human oversight and do not reduce the cost of the actual collaboration process, which remains human-driven and labor-intensive. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute performing this collaborative clinical task, so cost comparison favors the human process entirely. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | No deployed product reliably performs genuine professional collaboration; AI can summarize case notes or suggest treatment options independently, but cannot engage in the dynamic, real-time consultation and consensus-building that defines this task. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product coordinates multi-specialist surgical/dental treatment planning; this remains a human collaborative process, not a productized AI workflow. |
Remove tumors and other abnormal growths of the oral and facial regions, using surgical instruments.
1CI 0–3 · exposure 0 · augmentation 50 · importance 4.3/5 · click for rater detail
Remove tumors and other abnormal growths of the oral and facial regions, using surgical instruments.
1| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 2/5 | Surgical specialties are adopting robotic assistance slowly and selectively; full autonomy in tumor removal is not being deployed in production, and surgeon involvement remains mandatory. Adoption is primarily in high-volume centers and remains rare in smaller practices. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Surgical execution in healthcare remains a laggard area for AI substitution; adoption is confined to imaging/diagnostic support, not autonomous tumor removal. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI-assisted imaging (tumor detection, margin visualization, surgical planning) can improve surgeon decision-making pre- and intra-operatively, and robotic guidance can reduce fatigue; however, the surgeon remains the decision-maker and executor for this safety-critical task. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI assists via preoperative imaging analysis, 3D surgical planning, and guidance systems, improving precision and planning, but does not perform the surgical act itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Surgical tumor removal requires real-time 3D visualization, manual dexterity with millimeter precision, and immediate adaptive decision-making in a sterile surgical field. Current AI systems cannot autonomously operate surgical instruments or manage the complex, unpredictable variability of tumor margins and surrounding tissue in vivo. |
| Task automatability | claude-sonnet-5 | 1/5 | This is invasive surgery requiring manual dexterity, tactile feedback, and real-time judgment in delicate anatomical regions; no AI system today performs the physical excision itself. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Surgical tumor removal is legally and ethically restricted to licensed surgeons who bear malpractice liability; no autonomous or AI-driven system can legally perform this without direct human surgical control. Regulatory (FDA, state medical boards) and patient-safety requirements create hard barriers. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Surgery requires a licensed surgeon, sterile procedure protocols, informed consent, and legal/medical liability structures that mandate human performance and accountability. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The upfront and maintenance cost of surgical robotics, combined with required surgeon oversight and integration into operating rooms, far exceeds the hourly loaded cost of an experienced oral surgeon performing the procedure. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI substitute performing this task, so AI cost per equivalent output is not applicable/comparable; the human surgeon remains the only means of delivery. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed surgical system performs autonomous tumor removal in oral and maxillofacial surgery at production scale. Robotic surgical assistants (e.g., da Vinci) exist but require a surgeon to teleoperate or guide every movement; they do not execute tumor removal independently. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product autonomously performs tumor excision surgery in the oral/maxillofacial region; robotic surgical systems exist only as tools controlled by surgeons, not autonomous actors. |
Treat problems affecting the oral mucosa, such as mouth ulcers and infections.
1CI 0–3 · exposure 0 · augmentation 38 · importance 4.1/5 · click for rater detail
Treat problems affecting the oral mucosa, such as mouth ulcers and infections.
1| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Oral and maxillofacial surgery remains a hands-on, in-person clinical specialty with limited digital transformation. Adoption of AI for the core treatment task is essentially zero, as the specialty requires licensed practitioner involvement. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Clinical dentistry/oral surgery adopts AI slowly, mostly for imaging analysis or documentation, not for hands-on treatment tasks. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI might assist with pre-treatment diagnostic imaging analysis or patient triage, but the core treatment task—managing oral mucosal infections and ulcers—relies primarily on clinical expertise and manual intervention where AI offers limited productivity enhancement. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can assist with diagnostic imaging analysis, literature lookup, or documentation, aiding but not replacing the surgeon's judgment and manual treatment. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Treating oral mucosa problems requires in-person examination, physical intervention (topical or procedural treatment), real-time clinical judgment, and patient contact that current AI cannot perform end-to-end. No meaningful part of the core treatment task is automatable today. |
| Task automatability | claude-sonnet-5 | 1/5 | Diagnosing and treating oral mucosal lesions requires physical examination, biopsy, and hands-on clinical/surgical intervention that current AI cannot perform end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | This task is protected by strong legal and regulatory barriers: only licensed oral and maxillofacial surgeons can legally diagnose and treat oral mucosal conditions, and the task inherently requires hands-on patient contact and direct clinical examination that cannot be delegated to AI. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Diagnosis and treatment of oral disease legally requires a licensed surgeon/dentist, with direct liability and hands-on procedures making substitution impossible. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The task requires a highly trained oral and maxillofacial surgeon whose loaded compensation is substantial, and no current AI system can substitute for this work, making the cost comparison heavily favor human labor for the actual treatment delivery. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | AI cannot substitute for the physical examination and treatment, so there is no viable AI-only cost comparison; human specialist labor remains mandatory. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI product can perform diagnosis and treatment of oral mucosa disorders independently. While imaging analysis and diagnostic assistance tools exist in research, they do not reliably handle the full clinical task of treatment delivery in production settings. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs physical diagnosis or treatment of oral mucosal disease; AI is at most used for image-based decision support in research settings. |
Perform minor facial rejuvenation procedures, including the use of Botox and laser technology.
1CI 0–3 · exposure 0 · augmentation 38 · importance 2.8/5 · click for rater detail
Perform minor facial rejuvenation procedures, including the use of Botox and laser technology.
1| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Healthcare adoption of autonomous clinical robotics remains extremely limited; surgical automation in this domain is nascent and restricted to research or highly controlled settings, not production deployment in typical practices. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Healthcare/surgical fields adopt AI slowly for hands-on procedures, though administrative and diagnostic support is increasing; procedural automation remains minimal. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could assist with pre-procedure planning (e.g., analyzing facial symmetry from photos, suggesting injection sites) or post-procedure documentation, but the core manual execution depends entirely on the surgeon's skill and real-time judgment. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can assist with treatment planning, facial mapping, dosage calculation, and outcome simulation, improving precision, but the physical execution remains fully human. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Facial rejuvenation procedures require precise physical manipulation of needles, lasers, and anatomical landmarks in real-time, plus live assessment of patient tissue response. Current AI has no embodied robotic capability or haptic feedback to perform these interventions reliably end-to-end in a clinical setting. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a hands-on physical procedure requiring precise injection or laser application on a live patient; current AI systems cannot physically perform surgery or cosmetic injections. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | This task faces hard legal and regulatory barriers: only licensed physicians can legally perform injectable and laser procedures on patients; liability, medical negligence law, and patient consent requirements create strict human authorization mandates. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Administering Botox and laser treatments legally requires a licensed medical professional, with significant liability and regulatory oversight preventing non-human substitution. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The infrastructure cost for medical-grade robotic systems, regulatory compliance, integration, and human oversight would far exceed the hourly cost of a trained oral and maxillofacial surgeon performing the procedure directly. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute performing the physical procedure, so cost comparison favors the human provider entirely. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI system performs Botox injections or laser procedures autonomously in production. Surgical robotics exist but are not autonomous agents; they require continuous human control and are not designed for unsupervised minor rejuvenation work. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs Botox injections or laser rejuvenation autonomously; robotic assistance in surgery exists but not for this specific unsupervised cosmetic task. |
Treat snoring problems, using laser surgery.
1CI 0–3 · exposure 0 · augmentation 38 · importance 2.5/5 · click for rater detail
Treat snoring problems, using laser surgery.
1| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Surgical automation remains experimental and confined to research or tightly controlled robotic systems requiring direct surgeon control. Healthcare adoption of autonomous surgery is negligible; the sector remains highly protective of human clinical decision-making. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Surgical specialties adopt AI slowly for hands-on procedures, though imaging and diagnostic support tools are being piloted in some surgical planning contexts. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI can provide limited augmentation via preoperative imaging analysis or surgical planning assistance, but during the procedure itself, the surgeon's judgment and manual control remain paramount with minimal scope for real-time AI assistance. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can assist in pre-surgical planning, patient selection, and imaging analysis for snoring/sleep apnea, but does not meaningfully augment the actual laser surgery execution. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Laser surgery for snoring requires real-time intraoperative decision-making, precision manipulation of surgical instruments, and direct physical intervention in a patient's airway. Current AI systems cannot autonomously perform surgical procedures or operate physical equipment in a clinical setting. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical surgical procedure requiring manual dexterity, real-time tissue assessment, and hands-on manipulation that current AI cannot perform end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | This task has the highest barriers: only licensed surgeons can legally perform surgical procedures on patients, patient informed consent and human judgment are non-negotiable, and medical liability frameworks require direct human responsibility for surgical outcomes. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Surgery requires a licensed surgeon by law, with direct liability, sterile procedure, and physical presence, making this a hard-barrier task. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | An oral and maxillofacial surgeon's loaded wage is substantial, and the upfront cost of surgical infrastructure, laser equipment, and regulatory compliance far exceeds any AI inference cost. Full automation remains infeasible, making cost comparison moot. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute performing the surgery itself, so AI cost per equivalent output does not apply; human surgeon remains the only option. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI product autonomously performs laser surgery for snoring or any comparable surgical procedure today. Surgical robotics like da Vinci require direct human control and cannot operate without a surgeon. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product autonomously performs laser surgery for snoring; robotic surgical systems exist but are surgeon-operated tools, not autonomous performers of this task. |
Administer general and local anesthetics.
0CI 0–0 · exposure 0 · augmentation 25 · importance 4.8/5 · click for rater detail
Administer general and local anesthetics.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | This task is not subject to AI adoption; healthcare regulations and patient safety protocols actively prohibit autonomous anesthetic administration, and adoption velocity is therefore zero. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Surgical and anesthesia delivery is a highly physical, tightly regulated healthcare domain with minimal AI adoption for the hands-on execution of this task. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI might assist via real-time monitoring dashboards or predictive alerts (e.g., detecting vital-sign anomalies), but the core task of drug administration and decision-making remains human-led with limited augmentation scope. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI can assist with dosage calculations, monitoring alerts, or predictive risk analytics, but it does not materially transform the physical act of administering anesthesia itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Administering anesthetics requires real-time physiological monitoring, patient-specific dosing decisions, airway management, and immediate response to adverse events—tasks that demand continuous human judgment and physical intervention that current AI systems cannot perform autonomously. |
| Task automatability | claude-sonnet-5 | 1/5 | Administering anesthesia requires physical presence, manual dexterity, real-time patient monitoring, and adaptive judgment during an invasive medical procedure; no AI system can perform this end-to-end today. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Hard legal and regulatory barriers: only licensed anesthesiologists or designated trained providers may administer general anesthesia; this task is explicitly gatekept by professional licensure and medical board regulations. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Administering anesthesia is a licensed medical act requiring a qualified professional legally responsible for patient safety, with strict regulatory, liability, and physical-presence requirements. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Anesthetic administration requires a licensed anesthesiologist or trained provider present in-person, with no viable AI substitute; cost comparison is moot since AI cannot perform the task at all. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI substitute performing this physical, hands-on task, so cost comparison favors the human by default—AI cannot deliver the output at all. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI product administers anesthetics independently; this remains exclusively within human clinician domain due to liability, regulatory requirements, and the critical safety-sensitivity of anesthetic management. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product administers general or local anesthetics autonomously; anesthesia delivery remains entirely a human clinical function with only adjunct monitoring software in use. |
Perform surgery to prepare the mouth for dental implants and to aid in the regeneration of deficient bone and gum tissues.
0CI 0–0 · exposure 0 · augmentation 50 · importance 4.6/5 · click for rater detail
Perform surgery to prepare the mouth for dental implants and to aid in the regeneration of deficient bone and gum tissues.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Adoption of AI in surgical practice remains minimal and limited to imaging assistance or surgical planning tools. Actual surgical automation in oral and maxillofacial surgery has not penetrated clinical practice at meaningful scale. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Surgical specialties adopt autonomous execution technology extremely slowly due to safety, regulatory, and liability constraints; physical intervention tasks lag far behind information-processing sectors. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can meaningfully assist surgeons through preoperative imaging analysis, virtual surgical planning, and intraoperative guidance systems, but the human surgeon remains the decision-maker and executor of the actual surgical intervention. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI-assisted imaging, 3D planning software, and guided implant placement tools already help surgeons plan and execute more precisely, though the surgeon performs the physical procedure. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Surgical procedures requiring precise 3D anatomical navigation, real-time tissue assessment, and physical manipulation of delicate structures cannot be performed end-to-end by current AI systems. While AI can assist in preoperative imaging analysis, autonomous surgical execution remains beyond deployed technology. |
| Task automatability | claude-sonnet-5 | 1/5 | This is hands-on invasive surgery requiring physical dexterity, tactile feedback, and real-time adaptation inside a patient's mouth; no AI system today can perform surgical manipulation end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Only a licensed oral and maxillofacial surgeon can legally perform these surgical procedures; medical licensing laws, liability frameworks, and patient safety regulations create hard legal barriers that prevent autonomous AI substitution or task reassignment. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Surgery legally must be performed by a licensed oral and maxillofacial surgeon, with strict credentialing, malpractice liability, and sterile/physical-presence requirements creating near-absolute barriers to automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The capital cost of surgical equipment, facility overhead, and necessary human surgeon oversight far exceeds what AI systems could provide, making the all-in cost substantially higher than employing a human surgeon for this complex procedural task. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute for the physical surgical act, so cost comparison favors the human surgeon entirely; any AI-assisted robotic system would add cost, not reduce it, at current price points. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No currently deployed AI system reliably performs oral and maxillofacial surgery independently. Surgical robots exist but operate under direct human control and cannot work autonomously; they require a licensed surgeon to execute the procedure. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs autonomous oral surgery; surgical robots that exist elsewhere in medicine are not used to autonomously perform maxillofacial bone/tissue grafting procedures. |
Remove impacted, damaged, and non-restorable teeth.
0CI 0–0 · exposure 0 · augmentation 38 · importance 4.6/5 · click for rater detail
Remove impacted, damaged, and non-restorable teeth.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Autonomous or semi-autonomous surgical tooth extraction has not been adopted in clinical practice. Adoption in surgical fields remains limited to narrow, highly controlled tasks (e.g., peg placement in orthopedic surgery), not the dynamic, variable task of tooth removal. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Surgical dentistry is a physical, highly regulated field with minimal AI-driven automation of the actual procedure; adoption is confined to diagnostic imaging and planning support. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI can assist with pre-operative imaging analysis and surgical planning, but provides limited real-time augmentation during the extraction itself. The surgeon remains entirely dependent on their own judgment and skill during the procedure, with minimal AI-assisted workflow enhancement. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI assists with pre-surgical imaging analysis, treatment planning, and identifying impaction complexity, improving diagnostic accuracy and surgical planning, though it does not touch the physical extraction itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Tooth extraction requires precise physical manipulation of instruments, assessment of tooth positioning and bone structure in real-time, and handling of unexpected anatomical variation. Current AI systems cannot perform physical manipulation or real-time surgical decision-making in an uncontrolled oral environment. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a hands-on invasive surgical procedure requiring physical dexterity, real-time tactile feedback, and anatomical judgment that current AI systems cannot perform end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Dental and surgical procedures are heavily regulated; a licensed surgeon must legally perform the procedure and bears malpractice liability. Patient safety, consent, and the requirement for direct human accountability create hard legal and regulatory barriers to substitution. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Tooth extraction is an invasive surgical procedure legally restricted to licensed oral surgeons/dentists, with high liability and mandatory hands-on human performance. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Surgical equipment, robotic systems, and the AI infrastructure required would far exceed the loaded cost of a trained oral surgeon performing extractions. The overhead and liability costs of autonomous surgical systems remain prohibitively high. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI system replacing the surgeon for this physical task, so the human cost remains the only viable option; any robotic assistance would add cost, not reduce it, given current technology. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed surgical robotic systems today can autonomously perform tooth extraction. While image analysis can assist in pre-operative planning, the actual extraction—drilling, loosening, and removal—remains entirely dependent on human surgeon skill and judgment in production settings. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs autonomous tooth extraction; surgical robotics in dentistry remain research-stage or limited to assistive imaging/planning, not the extraction act itself. |
Treat infections of the oral cavity, salivary glands, jaws, and neck.
0CI 0–0 · exposure 0 · augmentation 50 · importance 4.6/5 · click for rater detail
Treat infections of the oral cavity, salivary glands, jaws, and neck.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Adoption of AI for autonomous treatment of surgical infections is not occurring and faces insurmountable regulatory and legal barriers. The sector remains dependent on human surgical expertise for procedural execution. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Surgical specialties are among the slowest sectors for AI adoption in actual task execution, given physical, high-stakes, and heavily regulated nature of the work. |
| Augmentation potential | claude-haiku-4-5-20251001 | 3/5 | AI can assist by analyzing imaging, suggesting diagnostic differentials, or aiding treatment planning, but the core surgical and clinical work remains human-performed. Moderate augmentation potential exists in pre-operative and diagnostic phases. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can assist with diagnostic imaging analysis, treatment planning support, and documentation, offering moderate productivity gains while the surgeon performs and directs actual treatment. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Treating infections requires physical intervention (drainage, antibiotics, wound management, surgery) that cannot be performed by AI systems. AI can assist in diagnosis and planning but cannot execute the procedural and manual aspects of infection treatment. |
| Task automatability | claude-sonnet-5 | 1/5 | Treating infections of the oral cavity, salivary glands, jaws, and neck requires physical examination, imaging interpretation in context, surgical drainage or incision, and prescribing under direct clinical judgment—none of which current AI can perform end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | This task has hard legal and regulatory barriers: only a licensed oral and maxillofacial surgeon can legally diagnose, treat, and perform surgery for oral-maxillofacial infections. Malpractice liability and patient safety requirements create strict scope-of-practice protections. |
| Adoption barriers | claude-sonnet-5 | 5/5 | This is a licensed medical/surgical act requiring hands-on intervention, controlled substance prescribing, and legal liability for surgical care—hard regulatory and licensure barriers apply. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The task involves surgical and clinical procedures that require a highly trained oral and maxillofacial surgeon (six+ years of education, six-figure salary). AI cannot perform these procedures, making automation economically irrelevant. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | AI cannot perform the physical treatment component, so there is no viable cost substitution; a licensed surgeon remains mandatory for any cost comparison to be meaningful. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI product can autonomously treat infections; this requires licensed surgical intervention, physical examination, and real-time clinical decision-making in operating rooms or clinical settings where human surgeons remain the essential performer. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs surgical or invasive infection treatment; AI is at most used for diagnostic imaging support, not the actual treatment task. |
Provide emergency treatment of facial injuries including facial lacerations, intra-oral lacerations, and fractured facial bones.
0CI 0–0 · exposure 0 · augmentation 38 · importance 4.2/5 · click for rater detail
Provide emergency treatment of facial injuries including facial lacerations, intra-oral lacerations, and fractured facial bones.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | This task occurs in emergency departments and surgical settings serving acute trauma. Adoption of AI for autonomous performance is zero because the task fundamentally requires licensed human surgical intervention; AI adoption in this context is limited to diagnostic aids, not task replacement. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Surgical trauma care is a highly physical, low-digitization domain with essentially no adoption of autonomous AI performing the procedural task itself. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI can provide marginal assistance through pre-operative imaging analysis, treatment planning visualization, or anatomical reference during surgery. However, the core emergency management remains surgeon-dependent, limiting augmentation to specific phases rather than transforming overall productivity. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI can assist with diagnostic imaging interpretation, surgical planning, and pre-op 3D modeling of fractures, offering meaningful but partial support to the surgeon's workflow. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Emergency treatment of facial injuries requires real-time physical intervention, surgical skill, and complex decision-making in unstable conditions. Current AI systems cannot perform surgery, manipulate tissue, or respond to dynamic complications in real-world emergency settings. |
| Task automatability | claude-sonnet-5 | 1/5 | This is hands-on emergency surgical intervention requiring physical manipulation of tissue and bone under sterile conditions; no current AI system can perform surgical repair or fracture reduction. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Oral and maxillofacial surgeons must be licensed medical professionals. Legal, regulatory, and liability frameworks mandate that only credentialed surgeons perform emergency facial surgery; no delegation to AI systems is legally or ethically permissible. |
| Adoption barriers | claude-sonnet-5 | 5/5 | This requires a licensed surgeon to legally and physically perform emergency surgery, with direct liability, sterile procedure requirements, and mandatory human physical presence. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Emergency surgical intervention is labor-intensive and requires a highly trained specialist whose loaded wage is substantial. AI cannot substitute for the surgeon and adds minimal cost offset, making the human cost far lower than any proposed AI alternative for the actual task performance. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute for the physical surgical act, so cost comparison favors the human surgeon entirely since AI cannot produce the output at all. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI product can autonomously perform emergency facial surgery or manage acute trauma. While AI assists with imaging analysis, the core task—surgical repair of lacerations and fractures—remains exclusively within human surgical capability. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs emergency surgical treatment of facial trauma; AI is used only in adjacent areas like imaging analysis, not the physical treatment itself. |
Restore form and function by moving skin, bone, nerves, and other tissues from other parts of the body to reconstruct the jaws and face.
0CI 0–0 · exposure 0 · augmentation 38 · importance 3.9/5 · click for rater detail
Restore form and function by moving skin, bone, nerves, and other tissues from other parts of the body to reconstruct the jaws and face.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Adoption of autonomous or semi-autonomous surgical AI in reconstructive maxillofacial surgery remains minimal; the specialty remains heavily reliant on surgeon expertise and manual technique, with only early-stage teleoperation pilots in select centers. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Surgical specialties adopt autonomous execution technology very slowly; physical, high-stakes procedures remain overwhelmingly human-performed with minimal AI displacement. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | Current AI offers minimal augmentation during the core reconstructive task itself, though preoperative imaging analysis and surgical planning aids provide modest support. The intraoperative reconstruction of tissues requires surgeon judgment and manual skill that AI does not substantially enhance in real-time. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI assists with preoperative planning, imaging analysis, and surgical simulation/navigation, but the core tissue manipulation is unaided by AI. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires real-time surgical manipulation of delicate human tissues, precise anatomical judgment, and immediate adaptive response to patient-specific variables that current AI cannot perform end-to-end. No AI system can currently conduct reconstructive surgery autonomously or achieve 50% time savings on the complete procedure. |
| Task automatability | claude-sonnet-5 | 1/5 | This is complex microsurgical reconstructive surgery requiring manual dexterity, real-time tissue handling, and judgment; no AI system can perform physical surgical maneuvers today. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Reconstructive facial and jaw surgery is legally required to be performed or directly supervised by a licensed oral and maxillofacial surgeon in all jurisdictions. Regulatory and liability frameworks explicitly mandate human professional accountability, creating an insurmountable barrier to autonomous substitution. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Requires a licensed surgeon to legally perform, involves major liability, direct physical patient contact, and intense regulatory oversight of surgical practice. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The cost of surgical robots, infrastructure, integration, and continuous oversight would substantially exceed the cost of a trained oral and maxillofacial surgeon performing the procedure, making automation economically unfeasible at present. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI substitute performing this physical task, so AI cost is not comparable; any surgical robotics involved are expensive adjuncts, not cheaper replacements. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed product reliably performs reconstructive oral and maxillofacial surgery in a clinical setting today. While robotic surgical assistants exist in limited surgical contexts, they are teleoperated by human surgeons and do not independently execute complex tissue transfer and reconstruction. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs autonomous reconstructive surgery; surgical robots exist only as human-controlled tools, not autonomous actors for this task. |
Perform surgery on the mouth and jaws to treat conditions such as cleft lip, cleft palate, and jaw growth problems.
0CI 0–0 · exposure 0 · augmentation 38 · importance 3.8/5 · click for rater detail
Perform surgery on the mouth and jaws to treat conditions such as cleft lip, cleft palate, and jaw growth problems.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Despite decades of robotic surgery research, adoption in oral and maxillofacial surgery remains minimal and experimental. The sector is conservative, capital-constrained, and legally bound to human surgeon control, resulting in negligible displacement of this task. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Surgical specialties adopt automation very slowly due to safety-critical physical nature, regulatory approval processes, and reliance on human dexterity. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | While imaging AI and surgical planning tools offer some support (preoperative segmentation, surgical simulation), they provide marginal assistance relative to the core manual and decision-making demands of performing the surgery itself. The surgeon remains the primary performer. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI assists with surgical planning, 3D imaging analysis, and preoperative simulation for cleft/jaw procedures, improving precision and planning efficiency even though execution remains manual. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Surgical procedures on the mouth and jaws require real-time manual dexterity, three-dimensional spatial reasoning, and adaptive response to unpredictable anatomical variations and intraoperative findings. Current AI systems cannot perform end-to-end surgical intervention; robotic surgery still requires a human surgeon in control. |
| Task automatability | claude-sonnet-5 | 1/5 | Physical surgical manipulation of oral and jaw tissues requires manual dexterity, real-time tactile feedback, and adaptive judgment that no current AI system can perform end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Surgical practice is heavily regulated; only licensed oral and maxillofacial surgeons can legally perform these procedures. Liability for surgical outcomes, patient safety requirements, and malpractice risk create absolute legal and professional barriers to automation. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Surgery requires licensed, credentialed surgeons operating under strict medical, legal, and ethical frameworks, with direct liability for patient outcomes. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | The infrastructure, maintenance, and oversight costs of surgical robotics or AI systems, combined with required human surgeon involvement, exceed the cost of direct human performance of the procedure. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute performing this task, so cost comparison favors the human surgeon entirely; any AI-assisted robotic system adds cost rather than reducing it. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed product performs oral and maxillofacial surgery autonomously or with reliable end-to-end automation today. Surgical robots (da Vinci, etc.) require active human operator control and are not autonomous systems. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs autonomous maxillofacial surgery; surgical robots that exist are human-operated tools, not autonomous surgeons for these procedures. |
Perform minor cosmetic procedures, such as chin and cheekbone enhancements.
0CI 0–0 · exposure 0 · augmentation 38 · importance 2.9/5 · click for rater detail
Perform minor cosmetic procedures, such as chin and cheekbone enhancements.
0| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Adoption of AI for autonomous cosmetic surgery is essentially zero because the task is not automatable and requires direct human surgical expertise. Any future adoption would be constrained by regulatory and liability frameworks that mandate human control. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Surgical specialties involving physical procedures show minimal AI adoption for actually performing the operative task itself, versus planning or imaging support. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could marginally assist with preoperative planning (e.g., 3D imaging analysis, outcome simulation) or surgical guidance overlays, but current tools offer limited practical assistance for cosmetic procedures specifically. The surgeon's judgment and manual skill remain the irreducible core of the task. |
| Augmentation potential | claude-sonnet-5 | 3/5 | AI-assisted imaging, 3D modeling, and surgical planning tools can help surgeons visualize and plan cosmetic enhancements, improving precision without replacing the surgeon's manual execution. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Performing cosmetic surgical procedures requires real-time physical manipulation of live tissue, precise three-dimensional spatial reasoning, and adaptive decision-making based on individual patient anatomy—capabilities entirely beyond current AI systems. No AI can autonomously conduct surgery or achieve the 50% time-saving threshold for this inherently hands-on clinical task. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a hands-on invasive surgical procedure requiring physical dexterity, sterile technique, and real-time judgment that current AI systems cannot perform physically or autonomously. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Cosmetic surgery is heavily regulated and requires a licensed oral and maxillofacial surgeon to perform the procedure and assume legal and clinical liability. Patient consent, malpractice law, and medical licensure create hard barriers preventing non-human autonomous performance. |
| Adoption barriers | claude-sonnet-5 | 5/5 | Performing surgery legally requires a licensed surgeon, with strict regulatory, liability, and safety requirements that make substitution by AI essentially prohibited. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Current AI has no cost advantage because it cannot perform this task at all; the comparison is inapplicable. A surgeon must personally conduct the procedure, and no AI system can reduce that labor cost. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI-driven substitute delivering this surgical output, so AI is not cheaper because it cannot perform the task at all. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed surgical automation system can perform independent cosmetic enhancement procedures on patients today. While surgical robots exist (e.g., da Vinci), they require a licensed surgeon to operate them throughout; they do not perform the task end-to-end autonomously or demonstrably replace the surgeon's decision-making and manual execution. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs cosmetic facial surgery autonomously; robotic surgical assistance exists for other domains but not for autonomous chin/cheekbone augmentation. |
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.