Men's and Boys' Cut and Sew Underwear and Nightwear Manufacturing

# 1672 overall · better than -8.9% of other industries
3.6/5Moderate Risk
AInxiety Score™
3/5
Regulatory Compliance
3/5
Data Intensity
3/5
Adaptability
4/5
Complexity
4/5
Capex Requirements
4/5
Workforce Flexibility
The men's and boys' cut and sew underwear and nightwear manufacturing industry has processes that are largely standardized and suitable for automation. While there are some regulatory and compliance considerations, they do not significantly hinder AI adoption. The industry also has moderate infrastructure requirements and data usage, with a workforce that can be easily augmented or replaced by automation. Overall, the industry demonstrates a reasonable adaptability to AI integration, suggesting a steady path towards increasing automation.

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think AI will create new opportunities and jobs in this industry

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until this industry will be significantly impacted

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think AI has potential in transforming this industry

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Men's and Boys' Cut and Sew Underwear and Nightwear Manufacturing

Should AI be regulated in this industry?

Yes
No

Risk composition of jobs in this industry

0 jobs in Cut and Sew Apparel Manufacturing

35.6%

25,040

3.5%

2,450

3.3%

2,340

3.2%

2,220

3.1%

2,200

2.7%

1,890

2.7%

1,890

2.6%

1,870

2.5%

1,750

2.5%

1,720

2.4%

1,670

2.2%

279,840

1.9%

1,330

1.9%

241,000

1.9%

1,670

1.8%

235,340

1.8%

1,260

1.7%

1,190

1.6%

1,140

1.6%

1,120

1.5%

1,080

1.4%

1,000

1.4%

1,000

1.4%

174,080

1.2%

159,460

1.1%

141,420

1.1%

141,820

1.1%

770

1.0%

130,590

1.0%

710

0.9%

650

0.9%

117,430

0.9%

620

0.9%

110,310

0.8%

590

0.8%

107,490

0.8%

570

0.8%

560

0.8%

99,480

0.8%

540

0.7%

520

0.7%

93,490

0.7%

470

0.7%

85,000

0.6%

430

0.6%

73,860

0.6%

74,870

0.6%

73,570

0.6%

71,240

0.5%

370

0.5%

66,340

0.5%

330

0.5%

61,730

0.5%

60,770

0.4%

56,580

0.4%

300

0.4%

55,550

0.4%

53,720

0.4%

53,930

0.4%

270

0.4%

270

0.4%

340

0.4%

47,530

0.4%

46,710

0.3%

250

0.3%

45,150

0.3%

240

0.3%

42,850

0.3%

42,230

0.3%

41,760

0.3%

230

0.3%

220

0.3%

210

0.3%

210

0.3%

37,760

0.3%

36,900

0.3%

200

0.3%

200

0.3%

35,450

0.3%

35,410

0.3%

180

0.3%

33,250

0.3%

180

0.3%

170

0.3%

31,850

0.2%

31,290

0.2%

30,710

0.2%

31,200

0.2%

29,080

0.2%

29,160

0.2%

29,160

0.2%

29,070

0.2%

150

0.2%

150

0.2%

28,310

0.2%

26,420

0.2%

27,010

0.2%

140

0.2%

140

0.2%

25,560

0.2%

26,250

0.2%

25,520

0.2%

130

0.2%

24,930

0.2%

23,820

0.2%

24,570

0.2%

24,880

0.2%

24,070

0.2%

130

0.2%

130

0.2%

23,680

0.2%

23,420

0.2%

22,840

0.2%

22,570

0.2%

23,050

0.2%

120

0.2%

120

0.2%

120

0.2%

21,670

0.2%

110

0.2%

20,030

0.2%

21,050

0.1%

100

0.1%

18,800

0.1%

19,650

0.1%

18,630

0.1%

18,570

0.1%

18,390

0.1%

18,360

0.1%

17,450

0.1%

90

0.1%

110

0.1%

16,460

0.1%

17,010

0.1%

16,240

0.1%

16,380

0.1%

16,540

0.1%

16,770

0.1%

80

0.1%

15,990

0.1%

15,890

0.1%

14,860

0.1%

15,490

0.1%

15,040

0.1%

15,860

0.1%

70

0.1%

70

0.1%

13,950

0.1%

14,130

0.1%

14,220

0.1%

13,840

0.1%

14,450

0.1%

13,720

0.1%

14,080

0.1%

70

0.1%

70

0.1%

70

0.1%

70

0.1%

12,480

0.1%

60

0.1%

60

0.1%

60

0.1%

11,500

0.1%

11,980

0.1%

11,140

0.1%

11,490

0.1%

11,200

0.1%

11,490

0.1%

11,870

0.1%

60

0.1%

10,380

0.1%

9,650

0.1%

10,870

0.1%

10,090

0.1%

10,830

0.1%

60

0.1%

9,510

0.1%

8,380

0.1%

9,530

0.1%

8,350

0.1%

9,410

0.1%

9,440

0.1%

8,570

0.1%

9,540

0.1%

9,290

0.1%

8,860

0.1%

40

0.1%

50

0.1%

50

0.1%

40

0.1%

40

0.1%

7,770

0.1%

7,760

0.1%

7,960

0.1%

7,150

0.1%

7,190

0.1%

8,030

0.1%

7,820

0.1%

7,820

0.1%

7,250

0.1%

8,190

0.1%

7,890

0.1%

7,130

0.1%

7,440

0.1%

40

0.1%

40

0.1%

30

0.1%

30

0.1%

30

0.1%

6,550

0.1%

6,930

0.1%

6,900

0.1%

6,500

0.1%

6,340

0.1%

5,880

0.1%

5,880

0.1%

5,790

0.1%

6,190

0.1%

5,940

0.1%

6,710

0.0%

40

0.0%

40

0.0%

40

0.0%

5,340

0.0%

4,930

0.0%

5,260

0.0%

5,120

0.0%

4,840

0.0%

4,680

0.0%

4,780

0.0%

5,700

0.0%

5,720

0.0%

5,470

0.0%

5,410

0.0%

5,040

0.0%

5,210

0.0%

4,860

0.0%

5,340

0.0%

5,080

0.0%

5,250

0.0%

4,510

0.0%

5,770

0.0%

5,100

0.0%

5,640

0.0%

4,500

0.0%

5,580

0.0%

30

0.0%

30

0.0%

3,980

0.0%

4,410

0.0%

3,540

0.0%

3,510

0.0%

4,370

0.0%

4,060

0.0%

3,950

0.0%

4,480

0.0%

3,760

0.0%

3,660

0.0%

2,490

0.0%

2,300

0.0%

1,950

0.0%

2,070

0.0%

2,070

0.0%

2,690

0.0%

2,090

0.0%

3,190

0.0%

2,560

0.0%

2,610

0.0%

2,460

0.0%

2,910

0.0%

2,600

0.0%

2,140

0.0%

2,320

0.0%

2,160

0.0%

2,830

0.0%

2,480

0.0%

3,030

0.0%

2,120

0.0%

2,820

0.0%

2,030

0.0%

2,910

0.0%

2,070

0.0%

2,800

0.0%

2,160

0.0%

2,760

0.0%

2,560

0.0%

1,820

0.0%

900

0.0%

920

0.0%

1,310

0.0%

830

0.0%

1,730

0.0%

800

0.0%

710

0.0%

1,250

0.0%

1,450

0.0%

1,200

0.0%

1,150

0.0%

810

0.0%

1,030

0.0%

830

0.0%

1,270

0.0%

1,250

0.0%

690

0.0%

830

0.0%

1,660

0.0%

730

0.0%

1,240

0.0%

1,870

0.0%

1,250

0.0%

1,450

0.0%

1,060

0.0%

1,460

0.0%

790

0.0%

1,810

0.0%

1,120

0.0%

1,680

0.0%

820

0.0%

1,390

0.0%

830

0.0%

740

0.0%

1,310

0.0%

1,190

0.0%

810

0.0%

1,670

0.0%

1,110

0.0%

1,010

0.0%

1,050

0.0%

1,490

0.0%

640

0.0%

1,680

0.0%

1,630

0.0%

1,220

0.0%

1,310

0.0%

800

0.0%

820

0.0%

870

0.0%

1,060

0.0%

850

0.0%

870

0.0%

1,090

0.0%

1,010

0.0%

680

0.0%

680

0.0%

950

0.0%

960

0.0%

1,210

0.0%

1,130

What people are saying

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