스탠퍼드 AI 인덱스 2026 — AI는 질주 중이고, 우리는 따라가기 버겁다

The Stanford AI Index 2026 exposes a critical divergence between AI's accelerating capabilities and humanity's inability to adapt: frontier models now surpass humans on scientific tasks, and AI agents' effectiveness jumped from 20% to 77.3% in a year, yet junior developer hiring has plummeted 20% and public trust in AI governance has collapsed to 31%. The costs of this unchecked advancement are becoming tangible—Grok 4 generates 14x more carbon emissions than GPT-4, while Gen Z's anger toward AI has nearly doubled to 31% in just one year. This gap between technological capability and societal readiness represents a systemic risk to labor markets, environmental sustainability, and democratic oversight.