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Opticians, Dispensing

Occupation · SOC 29-2081.00

Design, measure, fit, and adapt lenses and frames for client according to written optical prescription or specification. Assist client with inserting, removing, and caring for contact lenses. Assist client with selecting frames. Measure customer for size of eyeglasses and coordinate frames with facial and eye measurements and optical prescription. Prepare work order for optical laboratory containing instructions for grinding and mounting lenses in frames. Verify exactness of finished lens spectacles. Adjust frame and lens position to fit client. May shape or reshape frames. Includes contact lens opticians.

Also called: Dispensing Optician · Licensed Dispensing Optician (LDO) · Licensed Optician · Optician · Certified Optician · Contact Lens Technician · Ophthalmic Dispenser · Optical Technician · Optometric Technician · Registered Optician · Contact Lens Fitter · Dispensing and Measuring Optician

Job family: Healthcare Practitioners and Technical Occupations

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A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-29-2081-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

45th-percentile task overlap — yet about 6,800 openings a year (+2.9% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) Moderate 51st 0.1
LLM task exposure, γ (OpenAI / Eloundou) Moderate 42nd 0.5
AI assistant applicability (Microsoft) Moderate 44th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.3), and including AI-powered software (γ 0.5). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.7 · 58th percentile among occupations · Moderate

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook About average · +2.9% by 2034
Projected annual openings 6,800
Employment 2024 → 2034 79,900 → 82,200

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

24% mean task exposure (2025)
44th percentile of 427 placed occupations
−2 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Dispensing Opticians · 3254 24% Not exposed

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Tasks

All 21 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Customer and Personal Service 4.9
Sales and Marketing 4.3
Mathematics 3.9
Production and Processing 3.8
Administrative 3.8
English Language 3.7
Administration and Management 3.5
Education and Training 3.4
Psychology 3.2
Law and Government 3.1
Computers and Electronics 3.0
Personnel and Human Resources 3.0

Essential skills

Speaking 4.0
Active Listening 3.9
Reading Comprehension 3.8
Critical Thinking 3.5
Writing 3.3
Active Learning 3.0
Monitoring 3.0

Abilities

Oral Comprehension 4.0
Oral Expression 4.0
Near Vision 3.9
Written Comprehension 3.8
Speech Recognition 3.8
Speech Clarity 3.8
Written Expression 3.6
Problem Sensitivity 3.6
Deductive Reasoning 3.6
Information Ordering 3.4
Finger Dexterity 3.4
Category Flexibility 3.1
Arm-Hand Steadiness 3.1
Inductive Reasoning 3.0

Transferable skills

Service Orientation 3.5
Social Perceptiveness 3.3
Coordination 3.3
Persuasion 3.3
Complex Problem Solving 3.0
Judgment and Decision Making 3.0
Time Management 3.0

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Intuit QuickBooks Accounting software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft Word Word processing software Hot technology
Compulink Eyecare Advantage Medical software
Cygnet Infotech Optifocus Medical software
Database software Data base user interface and query software
Diversified Ophthalmics Practice Maximus Medical software
EMRlogic Systems ENTERPRISE Visions Medical software
EZ-Zone Optizone Enterprise Data base user interface and query software
First Insight MaximEyes Medical software
HealthLine Systems Eyecom Medical software
Insight Software My Vision Express Medical software
Inventory management systems Inventory management software
OfficeMate Software Solutions OfficeMate Medical software
Specialist Data Solutions OctoPlus Medical software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

Telephone Conversations 5.0
Face-to-Face Discussions with Individuals and Within Teams 5.0
Importance of Being Exact or Accurate 4.8
Contact With Others 4.8
Deal With External Customers or the Public in General 4.8
E-Mail 4.8
Physical Proximity 4.5
Frequency of Decision Making 4.4
Freedom to Make Decisions 4.4
Indoors, Environmentally Controlled 4.2
Time Pressure 4.0
Impact of Decisions on Co-workers or Company Results 4.0
Determine Tasks, Priorities and Goals 4.0
Importance of Repeating Same Tasks 3.9
Work With or Contribute to a Work Group or Team 3.8
Written Letters and Memos 3.8
Dealing With Unpleasant, Angry, or Discourteous People 3.7
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.6
Level of Competition 3.5
Health and Safety of Other Workers 3.3
Coordinate or Lead Others in Accomplishing Work Activities 3.3
Work Outcomes and Results of Other Workers 3.2
Spend Time Sitting 3.2
Conflict Situations 3.0
Spend Time Standing 2.9
Spend Time Making Repetitive Motions 2.7
Exposed to Disease or Infections 2.6
Degree of Automation 2.3
Consequence of Error 2.2
Exposed to Minor Burns, Cuts, Bites, or Stings 2.2
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 2.1
Exposed to Contaminants 2.1
Spend Time Walking or Running 2.0
Public Speaking 2.0
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 2.0
Pace Determined by Speed of Equipment 1.9
Spend Time Bending or Twisting Your Body 1.9
Dealing with Violent or Physically Aggressive People 1.6
Spend Time Kneeling, Crouching, Stooping, or Crawling 1.6
Exposed to Hazardous Equipment 1.5

How to get in

Job zone
Zone 3 — Job Zone Three: Medium Preparation Needed
Education
Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
Preparation level
SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.

What to study: Health Professions and Related Programs . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

High School Diploma 45.8%
Post-Secondary Certificate 25.0%
Associate's Degree (or other 2-year degree) 25.0%
Some College Courses 4.2%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Conventional 5.4
Realistic 4.3
Enterprising 3.3
Social 3.0
Investigative 2.3

Work styles

Dependability 5.0
Attention to Detail 4.0
Cautiousness 3.0

Interest areas

Personal Service 4.0
Health Care Service 3.5
Mechanics/Electronics 2.4
Management/Administration 2.3
Teaching/Education 2.3
Office Work 2.2
Accounting 2.1
Physical/Manual Labor 2.1

Wages & employment

U.S. · annual wages (BLS OEWS)

$34k10th$38k25th$47kMedian$60k75th$73k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
80k202482k2034 (proj.)+2.9% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $34,470
25th percentile $37,900
Median (50th) $46,560
75th percentile $59,680
90th percentile $73,240
People employed 79,690

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Health Care and Social Assistance · Sector 43,300 $45,580
Retail Trade · Sector 35,080 $48,470
Offices of Optometrists · National industry 32,580 $44,090
Wholesale Trade · Sector 420 $52,190
Management of Companies and Enterprises · Sector 310
Administrative and Support and Waste Management and Remediation Services · Sector 120 $45,140
Temporary Help Services · National industry 110 $45,140
Manufacturing · Sector 40 $48,240
Educational Services · Sector $49,300

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Offices of Optometrists · National industry 413.25× 32,580
Retail Trade · Sector 4.35× 35,080
Health Care and Social Assistance · Sector 3.63× 43,300
Management of Companies and Enterprises · Sector 0.21× 310
Wholesale Trade · Sector 0.13× 420
Temporary Help Services · National industry 0.08× 110
Administrative and Support and Waste Management and Remediation Services · Sector 0.03× 120

Part of the Healthcare & Human Services career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Opticians, Dispensing sits at the 45th percentile of AI task-overlap and the 24th percentile of median pay, placed here against 11 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Opticians, Dispensing Medical Equipment Preparers Ophthalmic Laboratory Technicians Orthotists and Prosthetists Ophthalmic Medical Technicians Ophthalmic Medical Technologists Optometrists Hearing Aid Specialists AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Opticians, Dispensing — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 44th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Opticians, Dispensing show 45th-percentile AI task overlap — and about 6,800 annual U.S. openings

  • Opticians, Dispensing rank in the 45th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 6,800 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be about average (+2.9%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $46,560, across about 79,690 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Opticians, Dispensing show 45th-percentile AI task overlap — and about 6,800 annual U.S. openings

• Opticians, Dispensing rank in the 45th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 6,800 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be about average (+2.9%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $46,560, across about 79,690 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Opticians, Dispensing". https://singulariki.com/roles/role-29-2081-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Opticians, Dispensing." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-29-2081-00

APA

Singulariki. (2026). Opticians, Dispensing. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-2081-00

BibTeX
@misc{singulariki-role-29-2081-00,
  title  = {Opticians, Dispensing},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-29-2081-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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