Share and intensity of work current AI systems can materially affect.
SOC 39-7011
Tour Guides and Escorts AI displacement risk
Audio-guide apps and AI-generated commentary cover the information layer of tours. Group management, safety on the move, live storytelling with audience reading, and handling the unexpected keep human guides preferred for real groups.
Likely potential for exposed tasks to move to software after workflow integration.
Self-guided audio substitutes for the simplest walking tours, and that segment shrinks. Guides running multi-day, adventure, or high-stakes groups sell logistics mastery and presence that an app cannot carry.
Distribution
Where Tour Guides and Escorts sits across 620 tracked roles
Displacement pressure 30 — higher than 48% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
19 O*NET task statements matched to SOC 39-7011. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $38,370 (Fallback estimate; May 2025 median unavailable, US national). BLS does not publish an exact current median for this occupational split, so the page retains a clearly labeled fallback estimate.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Tour Guides and Escorts
SOC 39-7011 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 30/100 role score and are not an occupation forecast.
+1.1% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +1.6% GDP and 3.9% unemployment.
+5.9% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +8.3% GDP and 4.6% unemployment.
+33.6% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Tour Guides and Escorts
The current evidence import matched 19 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks19
SOC39-7011
- Core task / ID 4540
Describe tour points of interest to group members, and respond to questions.
- Core task / ID 4539
Escort individuals or groups on cruises, sightseeing tours, or through places of interest, such as industrial establishments, public buildings, or art galleries.
- Core task / ID 4541
Monitor visitors' activities to ensure compliance with establishment or tour regulations and safety practices.
- Core task / ID 4538
Conduct educational activities for school children.
- Core task / ID 20135
Research various topics, including site history, environmental conditions, and clients' skills and abilities to plan appropriate expeditions, instruction, and commentary.
- Core task / ID 4544
Provide directions and other pertinent information to visitors.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Describe points of interest to groups
Exposure 56, automation 34%, augmentation 62%.
O*NET evidence: Describe tour points of interest to group members, and respond to questions. (ID 4540)
Escort groups through sites and routes
Exposure 20, automation 7%, augmentation 32%.
O*NET evidence: Escort individuals or groups on cruises, sightseeing tours, or through places of intere... (ID 4539)
Ensure group safety and compliance
Exposure 26, automation 9%, augmentation 46%.
O*NET evidence: Monitor visitors' activities to ensure compliance with establishment or tour regulation... (ID 4541)
Research and plan tour content
Exposure 54, automation 30%, augmentation 68%.
TaskExposureAutomationAugmentation
Describe points of interest to groups5634%62%
Escort groups through sites and routes207%32%
Ensure group safety and compliance269%46%
Research and plan tour content5430%68%
Transition pathways
Adjacent moves that preserve existing skills
role redesign
ModerateTour Operations Manager
Training horizon: 2-5 months. Skill overlap 66. Wage preservation signal 128.
- Design tour products
- Manage guide teams
- Track booking and review metrics
adjacent role
ModerateAdventure Guide and Outfitter
Training horizon: 3-9 months. Skill overlap 62. Wage preservation signal 108.
- Earn wilderness and first-aid certifications
- Build expedition logistics skills
- Develop a specialty destination
Comparison guides
Compare the next move before you commit
2-5 months
Tour Guides and Escorts to Tour Operations Manager
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Tour Guides and Escorts into Tour Operations Manager.
3-9 months
Tour Guides and Escorts to Adventure Guide and Outfitter
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Tour Guides and Escorts into Adventure Guide and Outfitter.
What the AI risk score means for Tour Guides and Escorts
The displacement pressure score for Tour Guides and Escorts is 30. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Describe points of interest to groups carries 34% automation pressure, while Research and plan tour content carries 68% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $38,370 (Fallback estimate; May 2025 median unavailable, US national). Employment context: Guided-experience role with audio-app competition. Typical education: High school diploma; local expertise required.
Wage vulnerability is 66, while transition feasibility is 62. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Moderate displacement pressure
- Audio apps take simple tours
- Group leadership and safety persist
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Tour Guides and Escorts, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Storytelling
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Group management
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Safety leadership
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Local knowledge
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Tour Operations Manager, such as design tour products.
- By 90 days, compare internal openings and external postings for Tour Operations Manager or Adventure Guide and Outfitter and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Tour Guides and Escorts
Will AI replace Tour Guides and Escorts?
Audio-guide apps and AI-generated commentary cover the information layer of tours. Group management, safety on the move, live storytelling with audience reading, and handling the unexpected keep human guides preferred for real groups. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Tour Guides and Escorts work are most exposed to AI?
Describe points of interest to groups and Research and plan tour content show the strongest automation pressure in this model. Research and plan tour content and Describe points of interest to groups are better treated as AI-augmented work.
What should Tour Guides and Escorts learn next?
Start with Storytelling, Group management, Safety leadership. The most practical adjacent paths in this model are Tour Operations Manager and Adventure Guide and Outfitter.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
International Labour Organization / 20 May 2025Generative AI and Jobs: A Refined Global Index of Occupational ExposureO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics