Household Furniture (except Wood and Upholstered) Manufacturing

# 1735 overall · better than -13.0% of other industries
3.8/5Moderate Risk
AInxiety Score™
3/5
Regulatory Compliance
3/5
Capex Requirements
3/5
Data Intensity
4/5
Complexity
4/5
Workforce Flexibility
4/5
Adaptability
Household Furniture Manufacturing involves repetitive, standardized tasks that can be highly automated, especially in non-wood and non-upholstered segments. Regulatory and compliance barriers are minimal, and the industry is increasingly data-driven, optimizing manufacturing through technological integration. The workforce will see significant transformation with many low-skill tasks being automated. The industry is adaptable and proactive in adopting AI, leading to substantial efficiency gains.

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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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Household Furniture (except Wood and Upholstered) Manufacturing

Should AI be regulated in this industry?

Yes
No

Risk composition of jobs in this industry

0 jobs in Household and Institutional Furniture and Kitchen Cabinet Manufacturing

18.7%

62,440

11.2%

37,420

4.3%

14,300

4.0%

13,490

3.6%

12,010

3.1%

10,390

2.9%

9,620

2.8%

9,500

2.5%

8,450

2.5%

8,200

2.3%

7,760

2.0%

6,710

1.8%

6,140

1.8%

5,970

1.5%

4,890

1.1%

3,640

1.1%

3,530

1.1%

3,500

1.0%

3,350

1.0%

3,340

1.0%

3,200

1.0%

3,200

0.9%

3,180

0.9%

3,010

0.9%

3,010

0.8%

2,850

0.8%

2,850

0.8%

2,810

0.8%

2,680

0.8%

2,670

0.7%

2,450

0.7%

2,390

0.7%

2,300

0.7%

2,260

0.6%

2,100

0.6%

1,970

0.6%

1,870

0.5%

1,740

0.5%

1,740

0.5%

1,610

0.5%

1,590

0.5%

1,570

0.4%

1,480

0.4%

1,450

0.4%

1,370

0.4%

1,340

0.4%

1,290

0.3%

1,150

0.3%

1,040

0.3%

1,030

0.3%

1,040

0.3%

1,010

0.3%

980

0.3%

920

0.3%

910

0.3%

850

0.3%

880

0.3%

880

0.3%

860

0.3%

820

0.2%

780

0.2%

720

0.2%

740

0.2%

660

0.2%

680

0.2%

670

0.2%

610

0.2%

590

0.2%

570

0.2%

570

0.2%

580

0.2%

530

0.2%

520

0.2%

530

0.2%

550

0.1%

510

0.1%

490

0.1%

480

0.1%

420

0.1%

450

0.1%

430

0.1%

400

0.1%

420

0.1%

400

0.1%

340

0.1%

320

0.1%

320

0.1%

290

0.1%

290

0.1%

280

0.1%

310

0.1%

310

0.1%

310

0.1%

290

0.1%

320

0.1%

260

0.1%

280

0.1%

260

0.1%

260

0.1%

270

0.1%

260

0.1%

280

0.1%

260

0.1%

250

0.1%

250

0.1%

230

0.1%

230

0.1%

190

0.1%

210

0.1%

200

0.1%

190

0.1%

210

0.1%

190

0.1%

210

0.1%

160

0.1%

150

0.0%

130

0.0%

150

0.0%

140

0.0%

120

0.0%

140

0.0%

120

0.0%

130

0.0%

150

0.0%

110

0.0%

110

0.0%

100

0.0%

90

0.0%

80

0.0%

110

0.0%

90

0.0%

100

0.0%

80

0.0%

90

0.0%

110

0.0%

110

0.0%

100

0.0%

110

0.0%

110

0.0%

90

0.0%

80

0.0%

110

0.0%

80

0.0%

70

0.0%

70

0.0%

60

0.0%

70

0.0%

70

0.0%

70

0.0%

80

0.0%

70

0.0%

70

0.0%

70

0.0%

80

0.0%

30

0.0%

40

0.0%

50

0.0%

50

0.0%

30

0.0%

50

0.0%

50

0.0%

50

0.0%

50

0.0%

50

0.0%

40

0.0%

40

0.0%

50

0.0%

40

0.0%

40

0.0%

40

0.0%

30

What people are saying

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