Textile Cutting Machine Setters, Operators, and Tenders

Imminent Risk
82%

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AUTOMATION RISK
CALCULATED
100%
(Imminent Risk)
POLLING
64%
(High Risk, Based on 19 votes)
Average: 82%
LABOR DEMAND
GROWTH
-11.7%
by year 2033
WAGES
$36,620
or $17.60 per hour
Volume
9,760
as of 2023
SUMMARY
What does this snowflake show?
The Snowflake is a visual summary of the five badges: Automation Risk (calculated), Risk (polled), Growth, Wages and Volume. It gives you an instant snapshot of an occupations profile. The colour of the Snowflake relates to its size. The better the occupation scores in relation to others, the larger and greener the Snowflake becomes.
JOB SCORE
0.8/10
What's this?
Job Score (higher is better):

We rate jobs using four factors. These are:

- Chance of being automated
- Job growth
- Wages
- Volume of available positions

These are some key things to think about when job hunting.

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Calculated automation risk

100% (Imminent Risk)

Imminent Risk (81-100%): Occupations in this level have an extremely high likelihood of being automated in the near future. These jobs consist primarily of repetitive, predictable tasks with little need for human judgment.

More information on what this score is, and how it is calculated is available here.

Some quite important qualities of the job are difficult to automate:

  • Manual Dexterity

  • Finger Dexterity

User poll

64% chance of full automation within the next two decades

Our visitors have voted that it's probable this occupation will be automated. This assessment is further supported by the calculated automation risk level, which estimates 100% chance of automation.

What do you think the risk of automation is?

What is the likelihood that Textile Cutting Machine Setters, Operators, and Tenders will be replaced by robots or artificial intelligence within the next 20 years?

Growth

Very slow growth relative to other professions.

The number of 'Textile Cutting Machine Setters, Operators, and Tenders' job openings is expected to decline 11.7% by 2033

Total employment, and estimated job openings

* Data from the Bureau of Labor Statistics for the period between 2023 and 2033
Updated projections are due 09-2025.

Wages

Very low paid relative to other professions

In 2023, the median annual wage for 'Textile Cutting Machine Setters, Operators, and Tenders' was $36,620, or $18 per hour

'Textile Cutting Machine Setters, Operators, and Tenders' were paid 23.8% lower than the national median wage, which stood at $48,060

Wages over time

* Data from the Bureau of Labor Statistics

Volume

Significantly lower range of job opportunities compared to other professions

As of 2023 there were 9,760 people employed as 'Textile Cutting Machine Setters, Operators, and Tenders' within the United States.

This represents around < 0.001% of the employed workforce across the country

Put another way, around 1 in 15 thousand people are employed as 'Textile Cutting Machine Setters, Operators, and Tenders'.

Job description

Set up, operate, or tend machines that cut textiles.

SOC Code: 51-6062.00

Comments (2)

Joydeep Sharma (Highly likely)
06 Jan 2022 08:23
High risk of automation in the textile industry

I am a textile engineer in Bangladesh, and I have been working in the textile industry on the industrial floors for the past two years. I have noticed that when small garment/textile companies start, they usually rely on human labor for production. However, as the industry grows, the factory struggles to keep up with demand. To deal with the vast orders, cheap labor is often replaced by automatic machines. These machines can increase production by 40-70%, depending on the type of machine.

Unfortunately, this means that operators, technicians, cutting machine setters, and machine readers are eventually laid off. Better software and cloud-based information can be readily brought in, saving more time and driving down production costs. The laborers seek out other jobs, and the company, in competition to keep up with the market, hires workers for even lower wages. Therefore, textile factory personnel are at higher risk in the long run.
Mapo'a
08 Apr 2021 17:41
Hasn't the job been automated?

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