The idea that AI headshots are eco-friendly is fundamentally flawed because AI-generated portraits do not reduce environmental strain. AI headshot production involves digital image generation using machine learning models that require significant computational resources, which in turn consume large amounts of electricity. The electricity fuelling these systems frequently comes from fossil fuels, worsening greenhouse gas output. The infrastructure supporting AI headshots imposes heavy ecological burdens through thermal management, component production, and 24. The shift to digital portraits still depends on physical infrastructure and raw materials. The ecological burden moves from cameras and lighting setups to server farms and network hardware. While AI can optimize certain workflows, the notion that AI headshot production offers environmental benefits is misleading without considering the full lifecycle of energy and resource use. Genuine ecological advancement requires cutting power use, adopting clean energy, and reducing electronic overhead—not Once dominated by expensive studio sessions masking energy-hungry systems with misleading sustainability labels.