From Dallas Fed · · 1 min
How Generative AI Is Shrinking White-Collar Job Postings
New Dallas Fed data reveals how AI automation is already reducing hiring demand, creating immediate challenges for recent college graduates.
In brief
New Dallas Fed data reveals how AI automation is already reducing hiring demand, creating immediate challenges for recent college graduates. Established companies are actively replacing routine task-heavy roles with GenAI, making entry-level white-collar hiring the first major casualty of AI automation. Originally…
AI adoption is surging fast
Two-thirds of Texas businesses reported using generative AI in mid-2026, up dramatically from just 40 percent two years earlier.
“Two-thirds of firms surveyed in the May 2026 Texas Business Outlook Survey reported using AI, up from 40 percent two years prior.”
Task data reveals automation risk
Researchers mapped actual usage of Anthropic's Claude AI against standard job database tasks to identify which roles face concrete automation threats.
“Because this measure is based on actual Claude usage, it captures not only what AI could theoretically do, but what it actually does cost-effectively”
White-collar jobs top exposure list
Software developers, web designers, editors, managers, and clerical workers face the highest risk of having core job duties automated by GenAI tools.
“In the data, the most exposed occupations are generally in software development, web design and other computer-heavy occupations.”
Automatable job postings drop
Online job postings for highly automatable occupations fell by 8 percent compared to less-exposed roles within the exact same industry.
“The findings suggest job postings fell 5 percent for more-exposed positions relative to less-exposed ones by the end of 2023 and by approximately 8 percent by first quarter 2025”
Incumbent firms drive the pullback
Established companies, not just new AI startups, are actively shifting their hiring strategies away from roles reliant on automatable tasks.
“Survives incumbent firms posted fewer openings and shifted the composition of their job posts away from more AI-exposed occupations.”
Total online job listings decline
Generative AI exposure reduced total online job postings in Texas by an estimated 1.8 percent in 2024 and 2.6 percent in 2025.
“the estimates imply that automation exposure to generative AI reduced total Lightcast job postings in Texas by approximately 1.8 percent in 2024 and by 2.6 percent in 2025.”
Entry-level job seekers suffer most
Most online job ads require under two years of experience. A pullback in these listings disproportionately hurts workers trying to enter the market.
“Because the types of jobs posted online typically require little prior work experience, a decline in job postings is likely to disproportionately affect new labor market entrants.”
Students adjust to shifting realities
Rising graduate unemployment in exposed fields is already prompting current college students to pivot their majors toward safer industries.
“shift in demand has negatively affected the labor market outcomes of recent college graduates... and prompted current students to change their educational decisions.”
The essence
Established companies are actively replacing routine task-heavy roles with GenAI, making entry-level white-collar hiring the first major casualty of AI automation.
