What is the AI risk score for Tour guide?

Tour guide has an AI displacement risk of 12%, rated Low. AI task overlap: 43%. Human advantage: 65%. Singapore demand buffer: 56%.

Structural pressure

12%

Low Risk

Likely range

8–15%

Tour guide

Service & Sales Workers · SGD 2,881/mo (36% below median)

This model suggests AI is more likely to enhance Tour guide than replace it. moderate exposure, but strong human bottlenecks mean AI augments rather than substitutes.

Compare

Augmented High Confidence

Polytechnic / ITE Diploma Higher risk than 44% of occupations

Pressure 12%

Market 56%

Confidence 75%

Human Moat High

Evidence

3/4 sources Sources aligned

Why This Score

AI Capability Overlap Increases risk

43% of tasks overlap with current AI

Human Coordination Reduces risk

65% human advantage from judgment & presence

Local Hiring Demand Reduces risk

56% demand buffer from SG labour market

These factors combine multiplicatively — larger bars do not mean proportionally larger contributions to the final score.

Net Displacement Risk 12%

Exposure × (1 − Bottleneck) × Market Modifier. Band stability: watch. How this works

Tasks AI can handle

Reservation management, menu recommendations, order processing, loyalty program tracking, and basic customer query handling via chatbots.

Where humans stay essential

Genuine hospitality and warmth, reading customer moods, handling complaints gracefully, creating memorable experiences, and adapting service to cultural expectations.

Skills to focus on

Emotional IntelligenceConflict De-escalationCultural SensitivityExperience Crafting

Common tools in similar work

Adobe PhotoshopFacebookMicrosoft AccessApple Safari

Derived from matched O*NET technology-skill profiles.

Singapore Reality

Current Singapore signal

Labour now, industry footprint, and a directional 12-month read.

Watch market

The Clerical, Sales & Service Workers labour market is under pressure. Vacancy rate is 3.1% and fell by 0.2 points from last quarter. recruitment is running above resignation (2.6% vs 1.6%).

Vacancy rate

3.1%

↓ 11.4% year-on-year

Hiring balance

2.6%

recruit vs 1.6% resign

Retrenchment

1.5 per 1,000

Low incidence

Clerical, Sales & Service Workers data · Q4 2025 full

Top Industries

Where this work is concentrated

Accommodation & Food Services

64.3K

→ stable

Top 3 vacancy sector

26%

Wholesale & Retail Trade

60.6K

↓ cooling

Top 5 vacancy sector

25%

Administrative & Support Services

31.4K

↓ cooling

13%

Industry vacancy overlays use the latest published detailed cross-tab (2025 QQ), which can lag the main labour monitor.

12-Month Outlook

Rule-based, not a prediction

Stable

Displacement Resilient

Augmentation At Risk

Demand Watch

Wage Pressure Resilient

Methodology

What To Do Next

Offset potential: Medium Separate from the core score. This estimates how much demand, redesign room, and transition support could cushion pressure.

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

Demand support: Low Transition support: High Reallocation room: High Switching friction: High

What helps

Nearby moves and published transition support look reasonably strong.
A meaningful share of the work can likely be reorganized around AI rather than removed outright.

What could slow it down