Household and Institutional Furniture and Kitchen Cabinet Manufacturing

# 1157 overall · better than 24.6% of other industries
2.8/5Moderate Risk
AInxiety Score™
2/5
Capex Requirements
2/5
Data Intensity
2/5
Workforce Flexibility
3/5
Complexity
3/5
Regulatory Compliance
3/5
Adaptability
The Household and Institutional Furniture and Kitchen Cabinet Manufacturing industry has areas ripe for AI disruption, especially in manufacturing and assembly automation. While design and customization still require human expertise, AI can significantly optimize production processes. Regulatory barriers are moderate, and while capital investments are required, they are manageable. Overall, the industry shows a moderate risk of AI displacement.

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think AI will create new opportunities and jobs in this industry

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are concerned about AI disrupting this industry

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Household and Institutional Furniture and Kitchen Cabinet Manufacturing

How long until this industry is significantly impacted by AI?

Months to 1 year
1 to 3 years
3 to 5 years
5+ years
Never

Risk composition of jobs in this industry

334,090 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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