Evolving

Last Update: 2/17/2026

Your role’s AI Resilience Score is

38.2%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Low-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

Pressers, Textile, Garment, and Related Materials

They smooth out wrinkles and make clothes look neat by using steam or heat on fabrics and garments.

This role is evolving

This career is labeled as "Evolving" because while machines are taking over some parts of garment pressing, like removing wrinkles, there are still many tasks that need a human touch, such as finishing fancy dresses or spotting small defects. As more advanced machines enter factories, workers will need to learn new skills to operate and work alongside them.

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Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

This role is evolving

This career is labeled as "Evolving" because while machines are taking over some parts of garment pressing, like removing wrinkles, there are still many tasks that need a human touch, such as finishing fancy dresses or spotting small defects. As more advanced machines enter factories, workers will need to learn new skills to operate and work alongside them.

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

48.0%

48.0%

Microsoft's Working with AI

AI Applicability

Learn about this score
Stable iconStable

88.5%

88.5%

Will Robots Take My Job

Automation Resilience

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Changing fast iconChanging fast

8.6%

8.6%

Low Demand

Labor Market Outlook

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

Learn about this score

Growth Rate (2024-34):

-13.5%

Growth Percentile:

2.9%

Annual Openings:

2,800

Annual Openings Pct:

27.8%

Analysis of Current AI Resilience

Textile Pressers

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Right now, many garment pressing tasks are done with machines but still need people. For example, official job guides say pressers “operate steam, hydraulic, or other pressing machines to remove wrinkles” and then “remove finished pieces from pressing machines” [1]. These routine steps are partly handled by modern equipment.

Some factories use advanced hot electro-steam presses and even special finishing machines (like automatic shirt or jacket finishers) to smooth clothes faster [2] [2]. In fact, analysts say “pressing robots, jacket finishers, and shirt finishers” are now on the market, helping reduce the need for skilled hand-pressers [2]. However, full robotics are not yet common on production lines.

Much of the industry still uses machines the operator controls (for example with computer settings), and AI is more often used for planning or quality checks [3] [2]. So far, most fancy or delicate jobs (like finishing evening gowns by hand) remain done by humans, because people are better at fine detail.

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AI Adoption

AI in the real world

Automation in pressing grows slowly because of costs and workers. On the plus side, better machines can boost “production efficiency” and reduce errors [2], which saves money over time. But laundry and garment machines are expensive.

Experts note that in many garment-making countries, tight budgets make it hard for factories to buy new tech [2]. Often it’s faster and cheaper to keep using human labor, especially in small shops. Where large factories do invest, they train workers to run the machines: Vogue Business reports that as factories automate, brands focus on upskilling sewing and pressing workers so they won’t lose their jobs [4].

Other factors slow AI: many pressing workers need basic digital skills first, and consumer comfort with fully automated pressers is still low. There are no big legal or ethical barriers (a pressing machine is just like a smart iron), but companies do worry about product quality and worker safety. In the end, automation will likely take on more of the heavy, repetitive work, while humans keep doing tricky finishing, spotting small defects, and customer tasks.

This means pressers can look forward to learning new machine skills and focusing on the parts of the job that only people can do [2] [4].

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More Career Info

Career: Pressers, Textile, Garment, and Related Materials

Employment & Wage Data

Median Wage

$33,880

Jobs (2024)

28,400

Growth (2024-34)

-13.5%

Annual Openings

2,800

Education

No formal educational credential

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

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

1

80% ResilienceCore Task

Clean and maintain pressing machines, using cleaning solutions and lubricants.

2

75% ResilienceCore Task

Activate and adjust machine controls to regulate temperature and pressure of rollers, ironing shoes, or plates, according to specifications.

3

75% ResilienceSupplemental

Insert heated metal forms into ties and touch up rough places with hand irons.

4

70% ResilienceCore Task

Finish fancy garments such as evening gowns and costumes, using hand irons to produce high quality finishes.

5

70% ResilienceSupplemental

Brush materials made of suede, leather, or felt to remove spots or to raise and smooth naps.

6

65% ResilienceCore Task

Position materials such as cloth garments, felt, or straw on tables, dies, or feeding mechanisms of pressing machines, or on ironing boards or work tables.

7

65% ResilienceSupplemental

Use covering cloths to prevent equipment from damaging delicate fabrics.

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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