AI startups now outnumber all publicly traded U.S. companies, according to a year-end note to investors from economists at Vanguard. And yet that report also suggest the jobs most susceptible to replacement by AI "are actually thriving, not dying out," writes Forbes: "The approximately 100 occupations most exposed to AI automation are actually outperforming the rest of the labor market in terms of job growth and real wage increases," the Vanguard report revealed. "This suggests that current AI systems are generally enhancing worker productivity and shifting workers' tasks toward higher-value activities..." The job growth rate of occupations with high AI exposure — including office clerks, HR assistants, and data scientists — increased from 1% in pre-COVID-19 years (2015 through 2019) to 1.7% in 2023 and beyond, according to Vanguard's research. Meanwhile, the growth rate of all other jobs declined from 1.1% to 0.8% over the same period. Workers in AI-prone roles are getting pay bumps, too; the wage growth of jobs with high AI exposure shot up from 0.1% pre-COVID to 3.8% post-pandemic (and post-ChatGPT). For all other jobs, compensation only marginally increased from 0.5% to 0.7%... As technology improves production and reallocates employee time to higher-value tasks, a smaller workforce is needed to deliver services. It's a process that has "distinct labor market implications," Vanguard writes, just like the many tech revolutions that predate AI... "Entry-level employment challenges reflect the disproportionate burden that a labor market with a low hiring rate can have on younger workers," the Vanguard note said. "This dynamic is observed across all occupations, even those largely unaffected by AI..." While many people see these labor disruptions and point their fingers at AI, experts told Fortune these layoffs could stem from a whole host of issues: navigating economic uncertainty, resolving pandemic-era overhiring, and bracing for tariffs. Vanguard isn't convinced that an AI is the reason for Gen Z's career obstacles. "While statistics abound about large language models beating humans in computer programming and other aptitude tests, these models still struggle with real-world scenarios that require nuanced decision-making," the Vanguard report continued. "Significant progress is needed before we see wider and measurable disruption in labor markets." Read more of this story at Slashdot.