58
/100

SOC 51-9083

Ophthalmic Laboratory Technicians

ElevatedFrey/Osborne: 97.0%

Risk Score

โš ๏ธ

58/100

Elevated

US Employment

๐Ÿ‘ฅ

18,740

Total workers

Median Wage

๐Ÿ’ฐ

$38K

$31K โ€“ $55K

Projected Growth

๐Ÿ“ˆ

+2.3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

10/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Ophthalmic Laboratory Technicians face a risk score of 58/100 โ€” 14 points above the national average of 44. With only 10/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $38K. The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 58/100, Ophthalmic Laboratory Technicians faces moderate automation pressure. While tasks like industrial robotics replacing manual assembly tasks are increasingly handled by AI, the role retains significant human elements. The 18,740 workers in this occupation should focus on strengthening skills in handling non-standard materials and configurations and setup and calibration of custom production runs to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Ophthalmic Laboratory Technicians?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Industrial robotics replacing manual assembly tasks

2

AI quality inspection via computer vision systems

3

Cobots handling repetitive material handling tasks

4

Automated CNC programming and machine operation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Handling non-standard materials and configurations

โœ“

Setup and calibration of custom production runs

โœ“

Coordinating workflow across diverse production teams

โœ“

Troubleshooting complex equipment malfunctions

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Mount and secure lens blanks or optical lenses in holding tools or chucks of cutting, polishing, grinding, or coating machines.

โ€ข

Inspect lens blanks to detect flaws, verify smoothness of surface, and ensure thickness of coating on lenses.

โ€ข

Set up machines to polish, bevel, edge, or grind lenses, flats, blanks, or other precision optical elements.

โ€ข

Inspect, weigh, and measure mounted or unmounted lenses after completion to verify alignment and conformance to specifications, using precision instruments.

โ€ข

Shape lenses appropriately so that they can be inserted into frames.

๐Ÿ’ป Technology Skills

โ€ข

Medical software

โ€ข

Computer aided design CAD software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Electronic mail software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Mechanical

โ€ข

Mathematics

โ€ข

Customer and Personal Service

โ€ข

Administration and Management

๐Ÿ“Š vs National Average

Median Wage$38K
$-8K

National avg: $46K

Risk Score58/100
+14

National avg: 44/100

GenAI Exposure10/100
-28

National avg: 38/100

Projected Growth2.3%
-1.4%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K61%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K51%
Fabric and Apparel Patternmakers33$68K80%