Kundendienstmitarbeiter

Büro und Verwaltungsunterstützung

KI-Exposition

  • Datenquelle: BLSVeröffentlicht: '26.08

    Sehr hoch· relativ

    NiedrigVier relative BänderSehr hoch

    Wert auf Berufsgruppenebene

    Skala, Bezugsmenge und Quelle

    Vier relative Bänder (Niedrig / Mittel / Hoch / Sehr hoch)

    831 detaillierte Berufe in der BLS-Beschäftigungsprojektionstabelle. Der Wert wird je Code der National Employment Matrix (NEM) vergeben, daher erhalten Berufe mit demselben NEM-Code dasselbe Band

    Quelldatensatz (XLSX-Download)

  • Datenquelle: AnthropicVeröffentlicht: '26.03

    0.701

    0.000Spannweite der hier geführten Werte0.745
    Skala, Bezugsmenge und Quelle

    Index der beobachteten Exposition, 0–1 wie veröffentlicht

    Auf O*NET-Aufgaben abgebildet

    Quelldatensatz

  • Datenquelle: ILOVeröffentlicht: '25

    0.58

    0.09Spannweite der hier geführten Werte0.70

    Wert auf Berufsgruppenebene

    Skala, Bezugsmenge und Quelle

    Index der Exposition gegenüber generativer KI, 0–1 wie veröffentlicht

    ISCO-08-Berufsgattung — alle Berufe mit demselben Code erhalten diesen Wert

    Von dieser Website berechnet, nicht von der IAO veröffentlicht: Von den 1.012 Berufen, die diese Website mit dem IAO-Datensatz verknüpft, erreichen oder übertreffen 5% diesen Wert.

    Quelldatensatz

Welche Art von Wert diese Quelle veröffentlicht

Die Kategorie von BLS ist ein relativer Rang und kein absolutes Niveau, und sie ist keine eigene Messung: Sie fasst die Perzentilränge des Berufs aus mehreren veröffentlichten Studien in vier Bänder zusammen. Sie ist weder eine Beschäftigungs- oder Lohnprognose noch eine Einführungswahrscheinlichkeit und unterscheidet nicht zwischen Automatisierung und Augmentierung.

Task-level exposure

Nur exponierte Aufgaben
TaskClaude.aiRaw / share %
Explain policies, procedures, or services to patients using medical or administrative knowledge.

43-4051

0.046122.4
Confer with customers by telephone or in person to provide information about products or services, take or enter orders, cancel accounts, or obtain details of complaints.

43-4051

0.030514.8
Coordinate communication between patients, family members, medical staff, administrative staff, or regulatory agencies.

43-4051

0.030414.7
Resolve customers' service or billing complaints by performing activities such as exchanging merchandise, refunding money, or adjusting bills.

43-4051

0.025012.1
Review insurance policy terms to determine whether a particular loss is covered by insurance.

43-4051

0.01899.2
Develop and distribute newsletters, brochures, or other printed materials to share information with patients or medical staff.

43-4051

0.01557.5
Identify and share research, recommendations, or other information regarding legal liabilities, risk management, or quality of care.

43-4051

0.00793.9
Provide consultation or training to volunteers or staff on topics such as guest relations, patients' rights, and medical issues.

43-4051

0.00773.7
Keep records of customer interactions or transactions, recording details of inquiries, complaints, or comments, as well as actions taken.

43-4051

0.00733.5
Collect and report data on topics such as patient encounters and inter-institutional problems, making recommendations for change when appropriate.

43-4051

0.00643.1
Not observed on any surface — 15 task(s) These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states.
Check to ensure that appropriate changes were made to resolve customers' problems.
0
Complete contract forms, prepare change of address records, or issue service discontinuance orders, using computers.
0
Determine charges for services requested, collect deposits or payments, or arrange for billing.
0
Obtain and examine all relevant information to assess validity of complaints and to determine possible causes, such as extreme weather conditions that could increase utility bills.
0
Solicit sales of new or additional services or products.
0
Review claims adjustments with dealers, examining parts claimed to be defective, and approving or disapproving dealers' claims.
0
Compare disputed merchandise with original requisitions and information from invoices and prepare invoices for returned goods.
0
Order tests that could determine the causes of product malfunctions.
0
Recommend improvements in products, packaging, shipping, service, or billing methods and procedures to prevent future problems.
0
Investigate and direct patient inquiries or complaints to appropriate medical staff members and follow up to ensure satisfactory resolution.
0
Interview patients or their representatives to identify problems relating to care.
0
Read current literature, talk with colleagues, continue education, or participate in professional organizations or conferences to keep abreast of developments in the field.
0
Maintain knowledge of community services and resources available to patients.
0
Analyze patients' abilities to pay to determine charges on a sliding scale.
0
Teach patients to use home health care equipment.
0

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

Occupation information

Aktuelle Veränderungen mit Bezug zu diesem Beruf

Juni 2026: Cited by ADP Research as an example of a high-AI-exposure occupation. Group-level payroll data shows employment in high-exposure occupations down 0.2% year over year overall and down 4.3% for workers aged 22-25 (33rd consecutive monthly decline). The percentages are for the high-exposure group, not for this occupation alone.

[Quelle: ADP Research, Canaries Dashboard (June 2026)]

Mai 2026: Anthropic observed-exposure score: high (zero->observed gap small). High observed exposure due to simpler software pipelines and lower integration cost.

[Quelle: Anthropic Economic Research (Massenkoff & McCrory, 2026)]

Apr. 2026: NBER survey of 6,000 executives: 69% use AI but 90% report zero employment impact. Executives predict -0.7% employment decline over next 3 years.

[Quelle: NBER Working Paper 34836]