Evolving

Last Update: 2/17/2026

Your role’s AI Resilience Score is

35.2%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium

What does this resilience result mean?

These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.

AI Resilience Report for

Glass Blowers, Molders, Benders, and Finishers

They shape and create glass objects by heating, molding, and cooling the glass to make items like vases and sculptures.

This role is evolving

Glass Blowers, Molders, Benders, and Finishers are labeled as "Evolving" because AI and machines are increasingly taking over routine tasks like temperature control and quality inspections in glass factories. These technologies can perform such tasks much faster and more safely than humans.

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Learn more about how you can thrive in this position

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Chat with Coach
Latest news
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This role is evolving

Glass Blowers, Molders, Benders, and Finishers are labeled as "Evolving" because AI and machines are increasingly taking over routine tasks like temperature control and quality inspections in glass factories. These technologies can perform such tasks much faster and more safely than humans.

Read full analysis

Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

Learn about this score
Evolving iconEvolving

31.7%

31.7%

Will Robots Take My Job

Automation Resilience

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Changing fast iconChanging fast

19.5%

19.5%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

6.2%

Growth Percentile:

82.2%

Annual Openings:

5,500

Annual Openings Pct:

41.5%

Analysis of Current AI Resilience

Glass Blowers & Finishers

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

In modern glass factories, many routine tasks use machines and AI. For example, smart sensors now track oven and furnace conditions so temperature and timing are kept steady [1]. High-speed cameras with AI inspect finished glass for tiny cracks or bubbles much faster than any person could [1].

Robots and “co-bots” also take on heavy work: one automated cell flips and stacks large glass panels – a job that would be difficult or unsafe for humans [2]. Even simple record-keeping is automated through digital dashboards and IoT systems that log quantities and sizes automatically [1]. That means workers don’t have to write down every detail by hand.

However, delicate craft tasks – like hand-blowing unique shapes or carefully repairing a broken glass scroll – still rely on skilled people. So far AI is mostly helping with quality checks and handling, while the creative, fine-hand work remains done by humans.

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AI Adoption

AI in the real world

Adopting AI and robots can boost productivity and safety, but there are trade-offs. Large glass manufacturers do invest in automation for efficiency, but full robotic systems can be very expensive. For instance, one industry report notes that a complete glass-handling robot installation can cost \$200–\$800 thousand [3].

That steep investment (plus needed factory upgrades and worker training) makes smaller glass shops hesitant [3] [1]. On the other hand, the industry faces a labor gap: U.S. factories expect over 2.1 million of 4 million new manufacturing jobs to remain unfilled by 2030 [4], which encourages using automation where it makes sense. Even so, the U.S. Bureau of Labor Statistics projects only about 5% growth in glassblowing and molding jobs by 2033 [5].

In practice, this means demand for human glass workers stays steady. In short, AI tools are used when they clearly cut waste or improve safety, but cost and the value of human skill slow full automation. Young artisans should note that creative design, problem-solving, and fine hand control are still very much needed in glass work even as AI machines help with routine tasks [1] [2].

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More Career Info

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

80% ResilienceSupplemental

Repair broken scrolls by replacing them with new sections of tubing.

2

75% ResilienceSupplemental

Develop sketches of glass products into blueprint specifications, applying knowledge of glass technology and glass blowing.

3

70% ResilienceSupplemental

Blow tubing into specified shapes to prevent glass from collapsing, using compressed air or own breath, or blow and rotate gathers in molds or on boards to obtain final shapes.

4

65% ResilienceSupplemental

Shape, bend, or join sections of glass, using paddles, pressing and flattening hand tools, or cork.

5

60% ResilienceCore Task

Heat glass to pliable stage, using gas flames or ovens and rotating glass to heat it uniformly.

6

60% ResilienceSupplemental

Strike necks of finished articles to separate articles from blowpipes.

7

55% ResilienceSupplemental

Superimpose bent tubing on asbestos patterns to ensure accuracy.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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