agent-displacement

Today is ${today}. Read `memory/MEMORY.md` before starting. If `soul/SOUL.md` + `soul/STYLE.md` exist and are populated, read them to match the operator's voice; otherwise use a clear, direct, neutral tone. ## Why this skill exists "Agent substitution" is one of the loudest narratives in AI but signal is scattered. The data points exist — companies replacing support agents, cutting contractors, freezing hiring — but they're spread across earnings calls, press releases, and reporters' threads. This skill runs weekly, surfaces real displacement data (named roles, actual headcount numbers, real deployments), and keeps a running ledger. It feeds articles, newsletters, and any downstream thesis work tracking AI labor effects. ## Steps ### 1. Load context Read: - `memory/MEMORY.md` — current state + any prior displacement signals logged - `memory/topics/agent-displacement.md` — if it exists, extract baseline: last-known companies, roles, and displacement scale If `memory/topics/agent-displacement.md` doesn't exist, create it with this seed and continue: ```markdown # Agent Displacement Tracker *Last run: never* ## Known Displacement Events (baseline) - Klarna (2024): replaced 700 customer support agents with AI. Support resolution time 2min vs 11min human avg. - Duolingo (2024): cut ~10% of contractors, cited AI content generation replacing human translators. - Salesforce (2025): froze non-essential hiring across sales/support, citing AI agent handle rate. - IBM (2024): pa...