Gewerbekreditbeauftragte
Wirtschaft und FinanzenKI-Exposition
- Datenquelle: BLSVeröffentlicht: 2026-08
Sehr hoch· relativ
NiedrigVier relative BänderSehr hochWert 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
- Datenquelle: AnthropicVeröffentlicht: 2026-03
0.186
0.000Spannweite der hier geführten Werte0.745Skala, Bezugsmenge und Quelle
Index der beobachteten Exposition, 0–1 wie veröffentlicht
Auf O*NET-Aufgaben abgebildet
- Datenquelle: ILOVeröffentlicht: 2025
0.60
0.09Spannweite der hier geführten Werte0.70Wert 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 4% diesen Wert.
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| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Explain to customers the different types of loans and credit options that are available, as well as the terms of those services.13-2072 | 0.057064.5 | —0 |
Market bank products to individuals and firms, promoting bank services that may meet customers' needs.13-2072 | 0.011112.5 | 0.019125.5 |
Handle customer complaints and take appropriate action to resolve them.13-2072 | 0.009510.8 | 0.051268.7 |
Work with clients to identify their financial goals and to find ways of reaching those goals.13-2072 | 0.00374.2 | —0 |
Prepare reports to send to customers whose accounts are delinquent, and forward irreconcilable accounts for collector action.13-2072 | 0.00262.9 | —0 |
Analyze potential loan markets and develop referral networks to locate prospects for loans.13-2072 | 0.00242.7 | —0 |
Analyze applicants' financial status, credit, and property evaluations to determine feasibility of granting loans.13-2072 | 0.00212.3 | 0.00202.7 |
Obtain and compile copies of loan applicants' credit histories, corporate financial statements, and other financial information. | —0 | 0.00233.1 |
| 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. | ||
Approve loans within specified limits, and refer loan applications outside those limits to management for approval. | —0 | —0 |
Meet with applicants to obtain information for loan applications and to answer questions about the process. | —0 | —0 |
Review and update credit and loan files. | —0 | —0 |
Review loan agreements to ensure that they are complete and accurate according to policy. | —0 | —0 |
Compute payment schedules. | —0 | —0 |
Stay abreast of new types of loans and other financial services and products to better meet customers' needs. | —0 | —0 |
Submit applications to credit analysts for verification and recommendation. | —0 | —0 |
Confer with underwriters to aid in resolving mortgage application problems. | —0 | —0 |
Negotiate payment arrangements with customers who have delinquent loans. | —0 | —0 |
Supervise loan personnel. | —0 | —0 |
Set credit policies, credit lines, procedures and standards in conjunction with senior managers. | —0 | —0 |
Provide special services such as investment banking for clients with more specialized needs. | —0 | —0 |
Arrange for maintenance and liquidation of delinquent properties. | —0 | —0 |
Interview, hire, and train new employees. | —0 | —0 |
Petition courts to transfer titles and deeds of collateral to banks. | —0 | —0 |
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 | βE1 + 0.5 × E2 |
|---|---|
Explain to customers the different types of loans and credit options that are available, as well as the terms of those services.O*NET Task ID 3410 | 1.0 |
Review loan agreements to ensure that they are complete and accurate according to policy.O*NET Task ID 3413 | 1.0 |
Compute payment schedules.O*NET Task ID 3414 | 1.0 |
Prepare reports to send to customers whose accounts are delinquent, and forward irreconcilable accounts for collector action.O*NET Task ID 3426 | 1.0 |
Authorize or sign mail collection letters.O*NET Task ID 21636 | 1.0 |
Review billing for accuracy.O*NET Task ID 21647 | 1.0 |
Approve loans within specified limits, and refer loan applications outside those limits to management for approval.O*NET Task ID 3407 | 0.5 |
Meet with applicants to obtain information for loan applications and to answer questions about the process.O*NET Task ID 3408 | 0.5 |
Analyze applicants' financial status, credit, and property evaluations to determine feasibility of granting loans.O*NET Task ID 3409 | 0.5 |
Obtain and compile copies of loan applicants' credit histories, corporate financial statements, and other financial information.O*NET Task ID 3411 | 0.5 |
Supervise loan personnel.O*NET Task ID 3422 | 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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page