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AI Work Index

IT Infrastructure technician

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AI Exposure Rank

76/100

High

Range 70–92/100 across source-weight sensitivity checks

IT Infrastructure technician has an AI Exposure Rank of 76/100, meaning its work is more exposed to current AI capabilities than approximately 76% of Singapore occupations. The evidence currently points to workflow redesign; this is a relative rank, not a probability of job loss.

Workflow redesignClassification uncertain

Associate Professionals & Technicians·SGD 4,100/mo (3,200–5,249)·~2.7K 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 near group median Exposure 36pp above group median #29 of 122 in Associate Professionals & Technicians →
01

How This Rank Is Built

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

Tasks AI can handle

With 75% AI task overlap (based on Felten AIOE, Anthropic Economic Index, Eloundou GPT exposure, and ILO occupational exposure), the IT Infrastructure technician tasks most exposed include: technical documentation, standard testing procedures, data logging, routine diagnostics, and equipment monitoring.

What AI can't do here

At 55% human bottleneck protection, the tasks that remain hardest to automate for IT Infrastructure technician include: hands-on troubleshooting, interpreting non-standard test results, calibrating instruments, and bridging communication between engineers and operators.

Main insulation channels: Non-routine work + High-stakes decisions — the work-context dimensions behind this occupation's human bottleneck.

Skills to focus on

Technical ProficiencyDiagnostic ReasoningAdaptabilityCross-Team Communication

Sources: Felten AIOE (2021), Anthropic Economic Index (2026), Eloundou GPT Exposure (Science, 2024), 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

Leading sectors represented

Some listed industries have MOM sector adoption evidence; observed-sector average 56.4%.

02

Task structure

Task evidence limited

Task-weighted shadow evidence is not active for this occupation yet.

03

Human advantage

Coordination and judgment still matter

At 55% human bottleneck protection, the tasks that remain hardest to automate for IT Infrastructure technician include: hands-on troubleshooting, interpreting non-standard test results, calibrating instruments, and bridging communication between engineers and operators.

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 2.3% time-related underemployment and 8.7% non-permanent employment. Across the published male and female series, CPI-adjusted median income changed -7.7% to -2.1% from 2018 to 2023.

05

Career transitions

IT security technician

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

06

Evidence strength

low confidence

4 exposure sources · sensitivity 70–92/100 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
15%
Wholesale & Retail Trade
13%
Financial & Insurance Services
10%

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

03

What You Can Do

IT Infrastructure technician has some offset potential, but it depends on transition pathways holding up in practice and on workers clearing the main switching frictions.

Related roles you could transition to

Exposure-reducing

Higher AI exposure, but comparatively credible exposure-reducing moves exist — the strongest scores 69% match. Escape-route quality and labour demand matter alongside exposure.

See how this compares to similar occupations

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Frequently asked questions

Will AI replace IT Infrastructure technician?

IT Infrastructure technician has an AI Exposure Rank of 76/100, meaning its work is more exposed to current AI capabilities than approximately 76% of Singapore occupations. The evidence currently points to workflow redesign; this is a relative rank, not a probability of job loss. AI Exposure Rank: 76/100 (High). Median wage: SGD 4,100/month.

What is the AI exposure rank for IT Infrastructure technician?

IT Infrastructure technician has an AI Exposure Rank of 76/100, rated High. It ranks higher than approximately 76% of Singapore occupations for exposure to current AI capabilities; it is not a job-loss probability.

What career transitions are available for IT Infrastructure technician?

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

How does IT Infrastructure technician salary compare in the live market?

IT Infrastructure technician earns a median gross wage of SGD 4,100/month in the live market (25th-75th percentile: SGD 3,200-5,249). This is 9% below median across all 562 scored occupations, and near group median within Associate Professionals & Technicians occupations.