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AI Work Index

Podiatrist

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AI Exposure Rank

35/100

Low

Range 12–55/100 across source-weight sensitivity checks

Podiatrist has an AI Exposure Rank of 35/100, meaning its work is more exposed to current AI capabilities than approximately 35% of Singapore occupations. The evidence currently points to limited direct change; this is a relative rank, not a probability of job loss.

Limited direct changeIn demand (SOL 2026)Classification uncertain

Professionals·SGD 5,054/mo (4,498–6,956)·~1.8K workers in SG·Updated 2026-07-17

Relative AI exposure, not a prediction of job loss. Hiring, wages and role design depend on many forces this rank does not forecast.

Wage 22% below group median Exposure 33pp below group median #164 of 182 in Professionals →
01

How This Rank Is Built

The evidence behind this occupation's AI exposure, with human-work and demand context shown separately. How this works

Tasks AI can handle

With 35% AI task overlap (based on Felten AIOE and ILO occupational exposure), the Podiatrist tasks most exposed include: diagnostic pattern recognition, medical literature synthesis, appointment scheduling, patient record summarization, and drug interaction checking.

  • • Treat bone, muscle, and joint disorders affecting the feet and ankles.
  • • Diagnose diseases and deformities of the foot using medical histories, physical examinations, x-rays, and laboratory test results.
  • • Advise patients about treatments and foot care techniques necessary for prevention of future problems.

O*NET tasks for this occupation with the most observed Claude usage (Anthropic task data).

What AI can't do here

At 88% human bottleneck protection, the tasks that remain hardest to automate for Podiatrist include: patient examination, clinical judgment under uncertainty, empathetic communication, emergency decision-making, and informed consent processes.

Skills to focus on

Clinical ReasoningPatient CommunicationEmergency ResponseEthical Decision-Making

Sources: Felten AIOE (2021), ILO GenAI (2025), Pizzinelli et al. bottleneck model. Full methodology.

From exposure to employment

What could change the employment outcome?

AI capability is only the starting point. Adoption, task design, human oversight, demand, mobility and evidence quality determine how exposure may resolve in practice.

01

Workplace adoption

Occupation-level adoption unknown

MOM does not publish a directly mappable adoption rate for the listed industries.

02

Task structure

Task evidence limited

100% weighted task match · 0% effective coverage

03

Human advantage

Coordination and judgment still matter

At 88% human bottleneck protection, the tasks that remain hardest to automate for Podiatrist include: patient examination, clinical judgment under uncertainty, empathetic communication, emergency decision-making, and informed consent processes.

04

Hiring and demand

3.4% vacancy rate · 2026 Q1

PMET vacancies increased from Q4 and remained below their year-ago level. Hiring stayed net positive but slowed, while retrenchment incidence remained the highest of the three broad occupation groups. In 2025, this broad occupation group had 0.9% time-related underemployment and 6.9% non-permanent employment. Across the published male and female series, CPI-adjusted median income changed -0.8% to +2.3% from 2018 to 2023.

05

Career transitions

Medical diagnostic radiographer

moderate modeled transition; outcomes still depend on skills, wages and openings.

06

Evidence strength

medium confidence

2 exposure sources · sensitivity 12–55/100 across source-weight sensitivity checks.

These lenses are reported separately and do not alter AI Exposure Rank. Labour-market figures describe a broad official occupation cluster, not this SSOC occupation alone.

02

Singapore Now

Current labour market conditions and how they affect this role.

Local conditions are under more strain. Vacancies have softened and displacement signals are less forgiving.

Vacancy

3.4%

↓ 2.9% YoY

Hiring

1.2%

vs 0.7% resign

Retrenchment

2.6

per 1,000 · moderate

Re-entry

69.1%

find work in 12mo· +1.4pp

Professionals, Managers, Executives & Technicians · 2026 Q1

Top Industries

Public Administration & Education Services
18%
Financial & Insurance Services
16%
Professional Services
13%

Industry vacancy overlays use the latest published detailed cross-tab, which can lag the main labour monitor.

03

What You Can Do

Frequently asked questions

Will AI replace Podiatrist?

Podiatrist has an AI Exposure Rank of 35/100, meaning its work is more exposed to current AI capabilities than approximately 35% of Singapore occupations. The evidence currently points to limited direct change; this is a relative rank, not a probability of job loss. AI Exposure Rank: 35/100 (Low). Median wage: SGD 5,054/month.

What is the AI exposure rank for Podiatrist?

Podiatrist has an AI Exposure Rank of 35/100, rated Low. It ranks higher than approximately 35% of Singapore occupations for exposure to current AI capabilities; it is not a job-loss probability.

What career transitions are available for Podiatrist?

Podiatrist has modeled transition pathways to related occupations. The strongest adjacent pathway is Medical diagnostic radiographer, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.

How does Podiatrist salary compare in the live market?

Podiatrist earns a median gross wage of SGD 5,054/month in the live market (25th-75th percentile: SGD 4,498-6,956). This is 12% above median across all 562 scored occupations, and 22% below group median within Professionals occupations.