Concern that AI will wipe out software engineers fuels headlines, but data tells another story. Researchers examined layoffs at firms that touted AI as the cause and found financial strain, investor pressure, or organizational reshuffling were the real drivers. Even in software—an industry with few regulatory shields—AI has not triggered mass job cuts, and hiring trends remain robust across the sector.

Block cut 4,000 roles citing “AI‑enabled smaller teams,” yet insiders reported negligible productivity gains and severe cash pressure, and the promised AI tools never materialized. Snap blamed AI for 1,000 layoffs and claimed 65% of new code was AI‑generated, but the cuts targeted an AR unit amid investor demands. Intuit dismissed AI as a scapegoat, linking 3,000 cuts to “coordination‑heavy” layers rather than automation.

Surveys reveal a 10‑fold gap between firms that claim AI‑driven cuts and those that have deployable models; 21% of executives reduced staff in anticipation of AI, while only 2% acted after implementation. WARN filings in New York showed fewer than one percent of layoffs cited AI. The evidence suggests AI compresses execution but leaves decision and delivery untouched, keeping demand for engineers steady for years ahead.