US Bureau of Labor Statistics occupational data through 2025 reveals unemployment rates in AI-exposed roles averaging 3.2 percent versus 4.1 percent in low-exposure jobs. Primary analysis from MIT Technology Review confirms absence of worker shifts into manual-labor occupations despite generative AI deployment since 2022. BLS Current Population Survey series show no acceleration in employment declines for computer, mathematical, or office support categories post-ChatGPT release. Stanford study cited in coverage isolates employment drops only among workers under age 25 in high-exposure fields, yet aggregate BLS data registers no corresponding rise in construction or transportation hiring. Policy focus on entry-level displacement overlooks stable overall labor force participation rates of 62.7 percent. Media narratives citing hypothetical mass automation diverge from BLS projections that forecast net job growth in data analysis and software roles through 2032, with displacement confined to routine tasks rather than entire occupations.