Share and intensity of work current AI systems can materially affect.
SOC 47-2121
Glaziers AI displacement risk
Glaziers cut, fit, and install glass in windows, skylights, and curtain walls, often on scaffolding many stories up. CNC cutting prepares glass in the shop, but setting a six-hundred-pound panel with a crane and suction cups in the wind is field judgment with serious safety stakes.
Likely potential for exposed tasks to move to software after workflow integration.
Shop fabrication is increasingly automated; field installation is not. Curtain-wall systems on commercial towers need crews who can rig, set, and seal glass at height, and fall-protection discipline is the trade's license to operate.
Distribution
Where Glaziers sits across 620 tracked roles
Displacement pressure 16 — higher than 14% 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.
27 O*NET task statements matched to SOC 47-2121. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $57,080 (May 2025, US national). The latest BLS row matched SOC 47-2121.
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 Glaziers
SOC 47-2121 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 16/100 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 Glaziers
The current evidence import matched 27 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 tasks27
SOC47-2121
- Core task / ID 11484
Read and interpret blueprints or specifications to determine size, shape, color, type, or thickness of glass, location of framing, installation procedures, or staging or scaffolding materials required.
- Core task / ID 11485
Determine plumb of walls or ceilings, using plumb lines and levels.
- Core task / ID 11496
Install pre-assembled metal or wood frameworks for windows or doors to be fitted with glass panels, using hand tools.
- Core task / ID 11486
Fabricate or install metal sashes or moldings for glass installation, using aluminum or steel framing.
- Core task / ID 11504
Operate cranes or hoists with suction cups to lift large, heavy pieces of glass.
- Core task / ID 11492
Set glass doors into frames and bolt metal hinges, handles, locks, or other hardware to attach doors to frames and walls.
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
Cut, fit, and install glass in structures
Exposure 20, automation 8%, augmentation 38%.
O*NET evidence: Cut, assemble, fit, or attach metal-framed glass enclosures for showers, bathtubs, disp... (ID 11494)
Operate cranes or hoists with suction cups for large panels
Exposure 22, automation 9%, augmentation 40%.
O*NET evidence: Operate cranes or hoists with suction cups to lift large, heavy pieces of glass. (ID 11504)
Read blueprints to determine glass specifications
Exposure 40, automation 19%, augmentation 54%.
O*NET evidence: Read and interpret blueprints or specifications to determine size, shape, color, type, ... (ID 11484)
Install frameworks for windows and doors
Exposure 20, automation 8%, augmentation 38%.
O*NET evidence: Install pre-assembled metal or wood frameworks for windows or doors to be fitted with g... (ID 11496)
TaskExposureAutomationAugmentation
Cut, fit, and install glass in structures208%38%
Operate cranes or hoists with suction cups for large panels229%40%
Read blueprints to determine glass specifications4019%54%
Install frameworks for windows and doors208%38%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
LowGlazing Contractor
Training horizon: 12-24 months. Skill overlap 64. Wage preservation signal 132.
- Earn contractor licensing
- Bid storefront and curtain-wall work
- Build a crew
role redesign
LowGlazing Foreman
Training horizon: 6-12 months. Skill overlap 68. Wage preservation signal 118.
- Lead installation crews
- Own fall-protection programs
- Coordinate crane picks
Comparison guides
Compare the next move before you commit
12-24 months
Glaziers to Glazing Contractor
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Glaziers into Glazing Contractor.
6-12 months
Glaziers to Glazing Foreman
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Glaziers into Glazing Foreman.
What the AI risk score means for Glaziers
The displacement pressure score for Glaziers is 16. 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. Read blueprints to determine glass specifications carries 19% automation pressure, while Read blueprints to determine glass specifications carries 54% 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: $57,080 (May 2025, US national). Employment context: Glass installation trade with high-rise safety stakes. Typical education: High school plus apprenticeship.
Wage vulnerability is 38, while transition feasibility is 58. 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.
- Low displacement pressure
- Shop cutting is automated, setting is not
- High-rise work has safety stakes
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Glaziers, 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.
Glass handling
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.
Rigging safety
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.
Blueprint reading
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.
Structural glazing technique
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 Glazing Contractor, such as earn contractor licensing.
- By 90 days, compare internal openings and external postings for Glazing Contractor or Glazing Foreman and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Glaziers
Will AI replace Glaziers?
Glaziers cut, fit, and install glass in windows, skylights, and curtain walls, often on scaffolding many stories up. CNC cutting prepares glass in the shop, but setting a six-hundred-pound panel with a crane and suction cups in the wind is field judgment with serious safety stakes. 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 Glaziers work are most exposed to AI?
Read blueprints to determine glass specifications and Operate cranes or hoists with suction cups for large panels show the strongest automation pressure in this model. Read blueprints to determine glass specifications and Operate cranes or hoists with suction cups for large panels are better treated as AI-augmented work.
What should Glaziers learn next?
Start with Glass handling, Rigging safety, Blueprint reading. The most practical adjacent paths in this model are Glazing Contractor and Glazing Foreman.
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
OECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*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