Scrub through 91 years of this role's history — from when it first emerged, through every wave of technology that reshaped it, to the cited projections for where it's heading next.
Drag the dot, click anywhere on the track, or use ← → arrow keys (Shift for 10-year jumps, PgUp/PgDn for 25).
GitHub Copilot became generally available on June 21, 2022 — the first widely-deployed AI coding tool with a subscription model. A GitHub-sponsored controlled experiment of 95 developers found Copilot users completed tasks 55% faster (1h 11min vs 2h 41min, p=.0017). Cursor launched in 2023 as the first IDE built from scratch around large-context AI, enabling multi-file editing and autonomous feature completion. Anthropic's Claude Code (2025) extended the agentic model to full software engineering tasks including planning, implementation, and pull-request creation. By 2025-26, computer and mathematical occupations accounted for 34% of all conversations on Claude.ai and 46% of Anthropic API traffic, with "modifying software to correct errors" as the single most common task across both platforms.
The 12-month rolling average of CPS employment for computer programmers fell 27.5% between 2023 and 2025, coinciding with GitHub Copilot's rollout. Multiple researchers cited this as one of the earliest visible AI labor-market effects in occupational data.
Fortune publishes "Employment for computer programmers in the US has plummeted to its lowest level since 1980 — years before the internet existed" (March 17, 2025). BLS OEWS data shows 121,200 programmer jobs in May 2024 — the lowest since the early 1980s. CPS rolling-average data shows a 27.5% drop in programmer employment since approximately 2023, coinciding with ChatGPT's November 2022 launch. Researchers begin describing this as "one of the earliest visible AI labor-market effects" in occupational data — the first white-collar occupation where the AI productivity shock is legible in census-level employment statistics rather than just survey responses.
Scrub the slider past now to anchor each scenario on the scrubber. The spread you see below is the range of futures credible sources project for this role.
The historical view above shows how this role has moved. This is the present-day detail: which AI tools are picking up which tasks, where the edge still is, and the natural directions this work can grow.
Three parts of your work where AI is already doing real lifting — and what stays yours.
Use AI coding agents (Copilot, Cursor, Amazon Q Developer) to generate boilerplate, scaffold repetitive modules, and autocomplete routine code blocks — then review, test, and integrate the output into the existing codebase.[3]
Shift focus from typing code to critically reviewing AI output: verify logic, edge cases, and security before committing. Build prompt-engineering fluency for your specific tech stack.
Write and update inline code comments, README files, and API documentation by prompting AI tools with the source code — replacing manual documentation passes that are chronically deferred in maintenance shops.[6],[1]
Review AI-generated docs for accuracy — auto-generated descriptions often miss business context and exception handling rationale. Add the "why" that AI cannot infer from the code alone.
Participate in agentic software development workflows where autonomous AI agents (Devin, Cursor Agent) handle multi-step tasks — plan, implement, test, and open a pull request — while the programmer acts as reviewer and approver rather than implementer.[7],[8]
Build skills in agentic workflow design: learn to decompose tasks into clear sub-goals, write effective agent prompts, and catch failure modes before they propagate. The emerging role is "AI-orchestrating programmer," not "absent programmer."
Natural next steps for someone with your foundation — not exits, evolutions.
Computer and Information Systems Managers lead entire technology functions — setting strategy, managing teams, and aligning IT investments with business goals. Long-tenured programmers with cross-functional relationships and institutional system knowledge are credible candidates, especially as AI compresses the programmer headcount they would have previously supervised.
Every claim on this page traces back to one of the following. Updated 2026-05-24.
Browse the directory by industry, or search by title or SOC code. New roles ship every few weeks — every profile cites every claim.
Browse all roles