84
/100

SOC 41-9091

Door-to-Door Sales Workers, News and Street Vendors, and Related Workers

Very High RiskFrey/Osborne: 94.0%

Risk Score

โš ๏ธ

84/100

Very High Risk

US Employment

๐Ÿ‘ฅ

4,590

Total workers

Median Wage

๐Ÿ’ฐ

$35K

$23K โ€“ $56K

Projected Growth

๐Ÿ“ˆ

-10%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

95/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Door-to-Door Sales Workers, News and Street Vendors, and Related Workers face a risk score of 84/100 โ€” 40 points above the national average of 44. With 95/100 GenAI exposure, this occupation faces significant pressure from AI tools despite weak projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $35K. The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 84/100, Door-to-Door Sales Workers, News and Street Vendors, and Related Workers faces significant automation pressure. Key threats include self-checkout and cashierless store technology and ai summarization replacing manual report compilation. The 4,590 Americans in this role should actively develop skills in building long-term client relationships and trust and resolving novel customer complaints with empathy to remain competitive. Workers who proactively adapt will find new opportunities even as traditional tasks are automated.

Will AI Replace Door-to-Door Sales Workers, News and Street Vendors, and Related Workers?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Self-checkout and cashierless store technology

2

AI summarization replacing manual report compilation

3

AI-powered research and literature review tools

4

Dynamic pricing algorithms replacing pricing roles

5

Large language model automation of analysis tasks

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Building long-term client relationships and trust

โœ“

Resolving novel customer complaints with empathy

โœ“

Negotiating bespoke deals with multiple stakeholders

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Explain products or services and prices and demonstrate use of products.

โ€ข

Develop prospect lists.

โ€ข

Deliver merchandise and collect payment.

โ€ข

Write and record orders for merchandise or enter orders into computers.

โ€ข

Arrange buying parties and solicit sponsorship of such parties to sell merchandise.

๐Ÿ’ป Technology Skills

โ€ข

Web page creation and editing software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Route navigation software

โ€ข

Internet browser software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

Sales and Marketing

โ€ข

English Language

โ€ข

Administrative

โ€ข

Administration and Management

๐Ÿ“Š vs National Average

Median Wage$35K
$-12K

National avg: $46K

Risk Score84/100
+40

National avg: 44/100

GenAI Exposure95/100
+57

National avg: 38/100

Projected Growth-10.0%
-13.7%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Education Administrators, All Other21$89K51%
Supervisors of Office and Administrative Support Workers23$66K67%
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K66%