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

O*NET-SOC code: 41-9091.00

Sell goods or services door-to-door or on the street.

Data source: BLSPublished: 2026-08
Very high· relative
LowFour relative bandsVery high
Group-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
Source dataset (XLSX download)
Data source: AnthropicPublished: 2026-03
0.176
0.000Range of values carried here0.745
Scale, basis and source
Observed exposure index, 0–1 as published
Mapped onto O*NET tasks
Published per SOC 2018 occupation; every O*NET occupation with the same SOC 2018 code carries this value
Source dataset (CSV download)
Data source: ILOPublished: 2025
0.20–0.46· 4 ISCO-08 groups
Scale, basis and source
Generative AI exposure index, 0–1 as published
Published per ISCO-08 unit group. Linked to this occupation, wholly or in part, by applying U.S. Bureau of Labor Statistics crosswalks (ISCO-08 to 2010 SOC, 2010 SOC to 2018 SOC) as published
Source dataset (PDF download)

What kind of figure this source publishes

The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.

ILO value for each linked ISCO-08 group

ISCO-08 5211Stall and Market Salespersons0.35
ISCO-08 5212Street Food Salespersons0.22
ISCO-08 5243Door-to-door Salespersons0.46
ISCO-08 9520Street Vendors (excluding Food)0.20

Task-level exposure

Exposed tasks only

12 rated tasks · 4 tasks with β ≥ 0.5 (33.3%)

β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.

Source unit: O*NET 27.2 tasks → O*NET 31.0 occupation code
All rated tasks are in the O*NET 31.0 task list.

Source: OpenAI "GPTs are GPTs" exposure rubric
Release: gh-main-0471612
License: MIT License, Copyright (c) 2024 OpenAI

Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.

Task (O*NET 27.2)	βE1 + 0.5 × E2
Write and record orders for merchandise or enter orders into computers. O*NET Task ID 13232	1.0
Answer questions about product features and benefits. O*NET Task ID 13236	1.0
Develop prospect lists. O*NET Task ID 13238	0.5
Order or purchase supplies. O*NET Task ID 13240	0.5
Deliver merchandise and collect payment. O*NET Task ID 13231	0.0
Explain products or services and prices and demonstrate use of products. O*NET Task ID 13233	0.0
Arrange buying parties and solicit sponsorship of such parties to sell merchandise. O*NET Task ID 13235	0.0
Circulate among potential customers or travel by foot, truck, automobile, or bicycle to deliver or sell merchandise or services. O*NET Task ID 13237	0.0
Distribute product samples or literature that details products or services. O*NET Task ID 13239	0.0
Set up and display sample merchandise at parties or stands. O*NET Task ID 13241	0.0
Stock carts or stands. O*NET Task ID 13242	0.0
Persuade customers to purchase merchandise or services. O*NET Task ID 21075	0.0

β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.

Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page

All O*NET 31.0 task statements (12)

All O*NET 31.0 task statements for this occupation (English, as published; task type core or supplemental). Exposure values are not listed here; they are in the table above, next to each task statement as worded in the O*NET version each source used.

Task (O*NET 31.0)	Type
Deliver merchandise and collect payment.	Core
Write and record orders for merchandise or enter orders into computers.	Core
Explain products or services and prices and demonstrate use of products.	Core
Arrange buying parties and solicit sponsorship of such parties to sell merchandise.	Core
Answer questions about product features and benefits.	Core
Circulate among potential customers or travel by foot, truck, automobile, or bicycle to deliver or sell merchandise or services.	Core
Develop prospect lists.	Core
Distribute product samples or literature that details products or services.	Core
Order or purchase supplies.	Core
Set up and display sample merchandise at parties or stands.	Core
Persuade customers to purchase merchandise or services.	Core
Stock carts or stands.	Supplemental

Anthropic, "What work can robots do?"2026-09

1.36/ 3· Robot exposure index

0 none3 unstructured settings

Scale, basis and source

Each physical task is graded 0–3 by the setting in which robots that have been deployed, sold or demonstrated could do it (0 none · 1 purpose-built robot settings such as a fenced machine cell or a bottling line · 2 structured facilities such as a hospital pharmacy or a container port · 3 unstructured settings such as a private home or a construction site), and the grades are averaged by share of working time

Physical tasks among this occupation's O*NET 29.3 tasks

Anthropic estimated the grades and time shares with Claude Opus 5 using web search, as of 2026.

Source dataset

The robot exposure index is a different measure from the AI exposure figures on this site and cannot be added to or compared with them. It does not measure actual adoption or cost, and 0 also covers occupations with no physical tasks.

Tier of each physical task

Robot environment tiers (E0–E3)

E0 noneDetails
Rated not doable by robots that have been deployed, sold or demonstrated, even in a purpose-built setting
E1 purpose-built robot settingsDetails
Rated doable in a setting built around the machine, such as a fenced machine cell or a bottling line
E2 structured facilitiesDetails
Rated doable in a human work facility that an institution keeps to a working standard, such as a hospital pharmacy or a container port
E3 unstructured settingsDetails
Rated doable in a setting that no institution keeps to a working standard, such as a private home or a construction site

Only tasks classified as physical are listed; other tasks have no tier in the source.

Task (O*NET 29.3)	Robot environment tier
Deliver merchandise and collect payment.	E3 unstructured settings
Explain products or services and prices and demonstrate use of products.	E2 structured facilities
Circulate among potential customers or travel by foot, truck, automobile, or bicycle to deliver or sell merchandise or services.	E2 structured facilities
Distribute product samples or literature that details products or services.	E2 structured facilities
Order or purchase supplies.	E1 purpose-built robot settings
Set up and display sample merchandise at parties or stands.	E1 purpose-built robot settings
Stock carts or stands.	E1 purpose-built robot settings

Employment outlook (BLS)

Employment, 2025: 51K
Projected employment, 2035: 46K
Change (2025–35): -10.4%
Median annual wage, 2025: $41,380
Typical education needed for entry: No formal educational credential

lowest $30,890median wage across 825 detailed occupations, BLS EP 2025–35highest $559,030

Source: U.S. Bureau of Labor Statistics, Employment Projections 2025–35 — Employment by detailed occupation, 2025 and projected 2035

Korea classification links (KSCO)

Links from the current release of the Korea Occupation Direct Crosswalk v1.1, made by AI Changing Work. Relation values are read from the O*NET-SOC occupation side.

KSCO code	KSCO title	Relation	Status
53210	방문 판매원	This occupation is broader	confirmed
53220	노점 및 이동 판매원	This occupation is broader	confirmed
51042	신용카드 모집인	Related, not a match	confirmed

Relation and status definitions(kr-direct v1.1)

ILO occupational description

AI Changing Work links the ISCO-08 unit groups below to this occupation by applying the U.S. Bureau of Labor Statistics crosswalks (2018 SOC to 2010 SOC, 2010 SOC to ISCO-08) as published, without case-by-case selection; each link may be whole or partial.

ISCO-08 5211Stall and Market Salespersons
ISCO-08 5212Street Food Salespersons
ISCO-08 5243Door-to-door Salespersons
ISCO-08 9520Street Vendors (excluding Food)

Sources: ILO ISCO-08 — details: Credits

ESCO occupational vocabulary

Each entry below is matched to this occupation in the published ESCO-O*NET Crosswalk (version 1, 2022). The match types are that crosswalk's; the wording is AI Changing Work's.

door to door sellerESCO 5243.1This occupation is broader
Door to door sellers sell goods and services door to door.
hawkerESCO 9520.1This occupation is broader
Hawkers sell goods and services on established routes, street and market locations.
leaflet distributorESCO 9510.1This occupation is broader
Leaflet distributors hand out flyers, leaflet and advertisements in order to inform people or sell products and services. They distribute these leaflets either directly to the people on the streets or via mailboxes.
market vendorESCO 5211.1This occupation is broader
Market vendors sell products such as fruit, vegetables and household products on organised outdoor or indoor market places. They use sales techniques to recommend their goods to passersby.
street food vendorESCO 5212.1This occupation is broader
Street food vendors sell food preparations, dishes and products on organised outdoor or indoor market places, or on the streets. They prepare the food in their stalls. Street food vendors use sales techniques to recommend their products to passers-by.

Source: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)

License: CC BY 4.0 (EU Reuse Notice)

View original

ESCO reuse terms and the modification notice are in Credits.

France classification links (ROME)

AI Changing Work's links between this occupation and ROME 4.0 job profiles, judged with AI models. Relations are read from this occupation's side. Links marked “provisional” were adopted on the judgments of two judges from the same model family (Claude) alone, or by an operator rule applied to their judgments, so they rest on weaker evidence than confirmed links.

ROME code	ROME title (French)	Relation
M1615	Distributeur / Distributrice de prospectus et imprimés	This occupation is broader
D1110	Vendeur ambulant / Vendeuse ambulante	This occupation is broaderprovisional
D1424	Conseiller vendeur / Conseillère vendeuse à domicile	This occupation is broaderprovisional
G1613	Restaurateur ambulant / Restauratrice ambulante	Related, not a match
D1403	Conseiller commercial / Conseillère commerciale auprès des particuliers	Related, not a matchprovisional

Source: France Travail — Répertoire Opérationnel des Métiers et des Emplois (ROME 4.0), version 61, last updated 15 June 2026 (https://www.data.gouv.fr/datasets/repertoire-operationnel-des-metiers-et-des-emplois-rome). Licence Ouverte 2.0.

ROME codes and titles are reproduced unchanged; the links to O*NET-SOC occupations are AI Changing Work's own judgment and are not a France Travail correspondence.

(AI Changing Work link release: fr-direct v1)

Spain classification links (CNO-11)

AI Changing Work's links between this occupation and CNO-11 occupations, judged with AI models. Relations are read from this occupation's side.

CNO-11 code	CNO-11 title (Spanish)	Relation
5491	Vendedores a domicilio	This occupation is broader
9410	Vendedores callejeros	This occupation is broader
5411	Vendedores en quioscos	This occupation is broaderprovisional
5412	Vendedores en mercados ocasionales y mercadillos	This occupation is broaderprovisional

Source: Instituto Nacional de Estadística (INE), National Classification of Occupations 2011 (CNO-11, Royal Decree 1591/2010) — www.ine.es · Licensed CC BY 4.0. CNO-11 codes and Spanish titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not an INE correspondence.

(AI Changing Work link release: es-direct v1)

Germany classification links (KldB)

AI Changing Work's links between this occupation and KldB occupations, judged with AI models. Relations are read from this occupation's side.

KldB code	KldB title (German)	Relation
62122	Verkaufsstand- und Marktverkäufer/innen - fachlich ausgerichtete Tätigkeiten	Overlapping, not the same
62182	Berufe im Verkauf (ohne Produktspezialisierung) (sonstige spezifische Tätigkeitsangabe) - fachlich ausgerichtete Tätigkeiten	Overlapping, not the same

Source: © Statistik der Bundesagentur für Arbeit — Klassifikation der Berufe 2010 – überarbeitete Fassung 2020, https://statistik.arbeitsagentur.de. KldB codes and titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own mapping (eigene Zuordnung) and are not a Bundesagentur für Arbeit correspondence.

(AI Changing Work link release: de-direct v1)

Japan classification links (JSCO)

AI Changing Work's links between this occupation and JSCO occupations, judged with AI models. Relations are read from this occupation's side.

JSCO code	JSCO title (Japanese)	Relation
324	商品訪問・移動販売従事者	Same scope
349	その他の営業職業従事者	Related, not a match

Source: Ministry of Internal Affairs and Communications (MIC), Japan Standard Occupational Classification (Dec. 2009, MIC Notification No. 555). JSCO codes and Japanese titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not a MIC correspondence.

(AI Changing Work link release: jp-direct v1)

Sources, licenses and AI Changing Work's modification and translation notices for this page: Credits & sources