Mostly Resilient
Last Update: 6/19/2026
AI Resilience Score for Orthodontists:
54.1%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forOrthodontists
>$239,200 median salary•200 annual openings•SOC Code: 29-1023.00
Orthodontists are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Orthodontics is labeled "Mostly Resilient" because AI is stepping in as a helpful assistant rather than a replacement, taking over time-consuming background tasks like analyzing X-rays, tracing scans, and predicting tooth movement while the orthodontist stays in charge of all the real decisions. The hands-on parts of the job, like fitting braces, examining a patient's jaw, and building trust with kids and families, still require a licensed human and simply cannot be automated away.
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Orthodontics is labeled "Mostly Resilient" because AI is stepping in as a helpful assistant rather than a replacement, taking over time-consuming background tasks like analyzing X-rays, tracing scans, and predicting tooth movement while the orthodontist stays in charge of all the real decisions. The hands-on parts of the job, like fitting braces, examining a patient's jaw, and building trust with kids and families, still require a licensed human and simply cannot be automated away.
Read full analysisAnalysis of Current AI Resilience
Orthodontists
Updated Quarterly
How is AI changing Orthodontists jobs?
Good news first: orthodontics is one of those careers where AI is mostly augmenting what doctors do, not replacing them. AI tools today are best at the behind-the-scenes work — analyzing scans, tracing X-rays, and predicting how teeth will move. A 2026 review in Bioengineering found that AI is being applied across orthodontic diagnosis, treatment planning, and outcome prediction using deep learning on cone-beam CT, intraoral scans, and 3D facial images, which lines up with the higher automation scores for record-keeping and study tasks.
Remote-monitoring apps are also taking off: a randomized study in Scientific Reports showed that AI-assisted Dental Monitoring software significantly reduced the number of in-office appointments [1] for kids in Invisalign treatment, without hurting outcomes. Treatment-management reviews describe AI creating a closed loop of dynamic plan adjustments and risk prediction [2] — meaning the orthodontist still decides, but software handles much of the data crunching.
Sources
How fast is AI adoption growing for Orthodontists?
Adoption is moving quickly because the commercial tools already exist — clear-aligner platforms, AI cephalometric tracing, and remote monitoring are FDA-cleared and embedded in everyday workflows, and DSOs love that AI standardizes decisions across locations and increases case throughput [2]. But there are real brakes. In January 2026 the American Association of Orthodontists released a position paper that explicitly aims to preserve professional authority and keep the orthodontist as the final decision maker [3] in AI-assisted care.
The AAO is also lobbying states to require in-person exams and X-rays before any orthodontic treatment begins [4], pushing back on direct-to-consumer companies that try to replace doctors with software. Hands-on tasks like fitting appliances and examining jaws (the lowest-automation tasks on your list) still require a licensed human, and the U.S. Bureau of Labor Statistics still projects steady employment for dentists and orthodontists through 2034 [5]. So if you're considering this field, AI is more likely to be your assistant than your competitor.
Sources
Will AI replace Orthodontists?
No. We don't think AI will replace orthodontists, though we do expect the job to change.
Orthodontics earns a 54.1% AI Resilience Score from us, and the story behind that number is mostly encouraging. AI is already doing the behind-the-scenes heavy lifting: analyzing scans, tracing X-rays, and predicting tooth movement. Remote monitoring tools have even reduced how often patients need to come in for checkups without hurting their outcomes [1]. That kind of augmentation frees orthodontists to focus on the judgment calls and hands-on work that software simply cannot do.
And those human tasks are real. Fitting appliances, examining jaws, and reading a patient's face during a consultation are not things an algorithm can replicate. The American Association of Orthodontists released a position paper in 2026 explicitly keeping the orthodontist as the final decision maker in AI-assisted care [3], and the AAO is actively pushing states to require in-person exams before any treatment begins [4].
The economic picture is also solid. Earning potential and career flexibility score high in our model, which points to a field that rewards skilled practitioners even as workflows shift. Employer demand is a softer spot, so this is not a career where you can coast. But orthodontists who learn to work alongside AI tools are likely to be more effective, not replaced.
Sources
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Latest AI news for Orthodontists
These articles highlight how AI is transforming orthodontics, making it essential for future professionals in the field. For instance, AI can detect alveolar bone changes through advanced imaging, enhancing diagnosis and treatment planning. Additionally, AI streamlines decision-making processes and automates tasks like indirect bonding setups, allowing orthodontists to focus more on patient care. Embracing these technologies will not only improve patient outcomes but also ensure that new orthodontists remain resilient and competitive in an evolving job market.
Inside DIBS AI Version 9.0: How Machine Learning is Automating the Heavy Lifting of Indirect Bonding
orthodonticproductsonline.com • 5/20/2026
OrthoSelect CEO Steven Gardner details how DIBS AI 9.0 uses AI to automate indirect bonding setups and turn stock brackets custom.
Validation of an AI Model for Automated Detection of Alveolar Bone Changes Post-orthodontics Using Cone-Beam Computed Tomography
www.cureus.com • 10/17/2025
Introduction: With recent advances in artificial intelligence (AI), image-based tools are increasingly being explored to assist clinicians...
AI-driven dynamic orthodontic treatment management: personalized progress tracking and adjustments—a narrative review
www.frontiersin.org • 7/31/2025
Artificial intelligence (AI) is reconfiguring the orthodontic treatment paradigm through dynamic data-driven strategies.
Perfected imperfection? The influence of artificial intelligence in orthodontics
www.dental-tribune.com • 4/8/2025
In orthodontic treatment planning, AI has proved invaluable in streamlining complex decision-making processes. AI models have been employed to...
Clinical audit of an artificial intelligence (AI) empowered smile simulation system: a prospective clinical trial
www.nature.com • 8/21/2024
Smile aesthetics is an important factor to consider during orthodontic treatment planning. The aim of the present study is to assess the...
More Career Info
Career: Orthodontists
They straighten teeth and correct bites by designing and applying braces and other dental devices to improve smiles and oral health.
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Employment & Wage Data
Median Wage
>=$239,200
Jobs (2024)
5,900
Growth (2024-34)
+4.4%
Annual Openings
200
Education
Doctoral or professional degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Fit dental appliances in patients' mouths to alter the position and relationship of teeth and jaws or to realign teeth.
2
Provide patients with proposed treatment plans and cost estimates.
3
Examine patients to assess abnormalities of jaw development, tooth position, and other dental-facial structures.
4
Diagnose teeth and jaw or other dental-facial abnormalities.
5
Design and fabricate appliances, such as space maintainers, retainers, and labial and lingual arch wires.
6
Coordinate orthodontic services with other dental and medical services.
7
Instruct dental officers and technical assistants in orthodontic procedures and techniques.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
