Optometrists
Ophthalmic opticians test patients’ vision, diagnose defects and disorders and prescribe glasses or contact lenses as required.
Task Bundle Breakdown
How AI interacts with this occupation's task bundle
Task-by-Task Breakdown
Every task scored individually — sorted highest to lowest AI exposure
prescribes appropriate spectacle lenses, contact lenses and other aids
AI systems can analyse refraction data and suggest lens prescriptions based on test results, but the optometrist must validate, adjust for patient lifestyle factors, and take clinical responsibility for the final prescription.
carries out research with glass and lens manufacturers
AI tools like Elicit or ResearchRabbit can accelerate literature review and data analysis in lens research, and generative AI can assist with drafting research reports, though experimental design and scientific interpretation require human expertise.
examines eyes and tests vision of patient, identifies problems, defects, injuries and ill health
AI-powered diagnostic tools like IDx-DR and Google's DeepMind can assist in detecting retinal conditions and flagging anomalies, but the full clinical examination, patient interaction, and final diagnosis still require a registered optometrist.
advises patient on proper use of glasses, contact lenses and other aids, and on appropriate lighting conditions for reading and working
AI chatbots and patient education platforms can deliver standardised aftercare advice, but personalised counselling based on a patient's specific circumstances, occupation, and preferences still benefits from human communication.
refers patient to a specialist, where necessary
AI can help flag cases that may warrant referral using clinical decision-support tools, but the professional judgement, patient relationship, and medico-legal responsibility for referral decisions remain firmly with the optometrist.
ROI Calculator
Optometrists
This is not a pay rise — it's 594 hours of productive capacity that AI could return to you, valued at your current rate.
The portion of your current salary tied to tasks AI can automate or augment. Not a prediction of job loss — a signal of where your role is changing fastest.
How is this calculated?▾
Task weights — each task is weighted by its O*NET frequency rating. Where frequency data is absent, equal weighting is applied.
AI time reduction — tasks scored as "AI Automates" assume 80% time saving; "AI Assists" assumes 40%; "Human-Led" assumes 5%.
Salary equivalent — annual hours saved × (salary ÷ 1,800 working hours/year).
Value at risk — salary × share of role time in AI-automate or AI-assist tasks.
Figures are indicative estimates for planning purposes, not guarantees of productivity gain or job loss risk.