Computerprogrammierer
Computer und MathematikKI-Exposition
- Datenquelle: BLSVeröffentlicht: '26.08
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: '26.03
0.745
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: '25
0.57
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 7% 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
4 ausgeblendete Aufgaben anzeigen| Task | Claude.aiRaw / share % |
|---|---|
Correct errors by making appropriate changes and rechecking the program to ensure that the desired results are produced.15-1131 | 2.455132.7 |
Write, update, and maintain computer programs or software packages to handle specific jobs such as tracking inventory, storing or retrieving data, or controlling other equipment.15-1131 | 2.397931.9 |
Write, analyze, review, and rewrite programs, using workflow chart and diagram, and applying knowledge of computer capabilities, subject matter, and symbolic logic.15-1131 | 2.190129.2 |
Consult with and assist computer operators or system analysts to define and resolve problems in running computer programs.15-1131 | 0.17002.3 |
Compile and write documentation of program development and subsequent revisions, inserting comments in the coded instructions so others can understand the program.15-1131 | 0.16712.2 |
Prepare detailed workflow charts and diagrams that describe input, output, and logical operation, and convert them into a series of instructions coded in a computer language.15-1131 | 0.05950.8 |
Perform or direct revision, repair, or expansion of existing programs to increase operating efficiency or adapt to new requirements.15-1131 | 0.03230.4 |
Investigate whether networks, workstations, the central processing unit of the system, or peripheral equipment are responding to a program's instructions.15-1131 | 0.02600.3 |
Collaborate with computer manufacturers and other users to develop new programming methods.15-1131 | 0.00330.0 |
Consult with managerial, engineering, and technical personnel to clarify program intent, identify problems, and suggest changes.15-1131 | 0.00300.0 |
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 |
|---|---|
Correct errors by making appropriate changes and rechecking the program to ensure that the desired results are produced.O*NET Task ID 1267 | 1.0 |
Conduct trial runs of programs and software applications to be sure they will produce the desired information and that the instructions are correct.O*NET Task ID 1268 | 1.0 |
Compile and write documentation of program development and subsequent revisions, inserting comments in the coded instructions so others can understand the program.O*NET Task ID 1269 | 1.0 |
Write, update, and maintain computer programs or software packages to handle specific jobs such as tracking inventory, storing or retrieving data, or controlling other equipment.O*NET Task ID 1270 | 1.0 |
Consult with managerial, engineering, and technical personnel to clarify program intent, identify problems, and suggest changes.O*NET Task ID 1271 | 1.0 |
Perform or direct revision, repair, or expansion of existing programs to increase operating efficiency or adapt to new requirements.O*NET Task ID 1272 | 1.0 |
Write, analyze, review, and rewrite programs, using workflow chart and diagram, and applying knowledge of computer capabilities, subject matter, and symbolic logic.O*NET Task ID 1273 | 1.0 |
Write or contribute to instructions or manuals to guide end users.O*NET Task ID 1274 | 1.0 |
Investigate whether networks, workstations, the central processing unit of the system, or peripheral equipment are responding to a program's instructions.O*NET Task ID 1275 | 1.0 |
Prepare detailed workflow charts and diagrams that describe input, output, and logical operation, and convert them into a series of instructions coded in a computer language.O*NET Task ID 1276 | 1.0 |
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
Occupation information
Aktuelle Veränderungen mit Bezug zu diesem Beruf
Mai 2026: Anthropic observed-exposure score: 75% (highest in dataset). Highest in dataset (75%). Computer & Math category overall sits at 33% observed vs 90% theoretical.
[Quelle: Anthropic Economic Research (Massenkoff & McCrory, 2026)]Apr. 2026: BOK research identifies codified, textbook-style knowledge work as most AI-vulnerable. Korean youth employment in AI-exposed coding/programming roles shows paradoxical growth (+1.2pp) but collapsing new-hire rates.
[Quelle: Bank of Korea Employment Research (2025)]März 2026: Dallas Fed: Computer systems design sector shows employment decline of 5% alongside 16.7% wage growth, suggesting AI automates routine coding while rewarding complex problem-solving.
[Quelle: Dallas Fed (Feb 2026)]