Not every metric: https://arstechnica.com/ai/2026/08/ai-is-hitting-entry-level-jobs-hardest-stanford-study-finds/ https://arstechnica.com/ai/2026/08/ai-is-hitti

Not every metric: https://arstechnica.com/ai/2026/08/ai-is-hitting-entry-level-jobs-hardest-stanford-study-finds/ https://arstechnica.com/ai/2026/08/ai-is-hitting-entry-level... From the underlying Stanford study: https://digitaleconomy.stanford.edu/publication/canaries-in-the-coal-mine-six-facts-about-the-recent-employment-effects-of-artificial-intelligence/ https://digitaleconomy.stanford.edu/publication/canaries-in-... > However, employment of young workers (ages 22–25) in AI-exposed occupations now stands 19% below where it would be had it kept pace with that of their less-exposed peers; experienced workers show no comparable gap. It has also not even been 2 years since "vibe coding" was coined and software engineering began to be transformed. We are still in early days of diffusion, and large-scale economic surveys have a significant lag time compared to AI capabilities.