Why the "AI replaces engineers" narrative keeps failing the data test

Short summary

59% of hiring managers cite AI to explain layoffs, but data shows only 0.2% of layoffs are actually AI-related; real causes are pandemic hiring excess and investor pressure. AI compresses the 'execute' layer but can't replace requirements and accountability. Engineers evolve into supervisors of AI—invest in requirements skills and delivery practices.

• •Only 0.2% of layoffs are AI-related despite 59% of managers citing AI for optics; real drivers are pandemic hiring excess and investor pressure
• •AI automates code writing but can't replace requirements specification and delivery accountability
• •Engineer role shifts to supervising AI—strengthen requirements and delivery skills, not displacement fears

Generated with AI, which can make mistakes.