コンピュータプログラマー

コンピュータ・数学

AI露出度

  • データ出典: BLS公表時点: '26.08

    非常に高い· 相対

    低い4段階の相対区分非常に高い

    職業群単位の値

    尺度・母数・出典

    4段階の相対区分（低い / 中程度 / 高い / 非常に高い）

    BLS雇用見通し表の詳細職業831件が母数。値は NEM(全国雇用マトリクス)コード単位で付与されるため、同じ NEM コードの職業は同じバンドになります

    出典データセット（XLSX ファイルのダウンロード）

  • データ出典: Anthropic公表時点: '26.03

    0.745

    0.000ここに掲載された値の範囲0.745
    尺度・母数・出典

    観測エクスポージャー指数、公開されたまま0–1

    O*NETタスクへの対応づけが基準

    出典データセット

  • データ出典: ILO公表時点: '25

    0.57

    0.09ここに掲載された値の範囲0.70

    職業群単位の値

    尺度・母数・出典

    生成AI露出度指数、公開されたまま0–1

    ISCO-08の職業小分類単位 — 同じコードの職業はすべて同じ値

    当サイトの算出であり、ILOが公表した数値ではありません。当サイトがILOデータセットに結び付けた職業1,012件のうち、この値以上のものは7%です。

    出典データセット

この出典がどのような性格の値か

BLSの区分は絶対水準ではなく相対順位であり、一次測定でもありません。複数の既存研究が付けた職業別パーセンタイル順位を4段階にまとめた値です。雇用や賃金の予測でもなく、導入確率でもなく、自動化と増強を区別しません。

Task-level exposure

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.

TaskβE1 + 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®, Eloundou et al. (2023): see full notices on the Credits page

Occupation information

この職業に関わる最近の変化

2026年5月: Anthropic observed-exposure score: 75% (highest in dataset). Highest in dataset (75%). Computer & Math category overall sits at 33% observed vs 90% theoretical.

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

2026年4月: 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.

[出典: Bank of Korea Employment Research (2025)]

2026年3月: 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.

[出典: Dallas Fed (Feb 2026)]