How GenAI Is Rewiring the DNA of Jobs (www.hiringlab.org)

Indeed’s Hiring Lab released the GenAI Skill Transformation Index (GSTI), a tool that rates how GenAI could change nearly 2,900 common U.S. work skills by measuring two axes — problem-solving ability (cognitive reasoning) and physical necessity — on a 5×5 matrix. Using a multi‑model evaluation (relying on consistent outputs from OpenAI’s GPT‑4.1 and Anthropic’s Claude Sonnet 4), the GSTI groups skills into four buckets: minimal, assisted, hybrid, and full transformation. Key findings: 40% of skills are likely to see minimal change, 19% assisted support, 40% hybrid transformation (where GenAI handles routine work but human oversight remains), and 1% full transformation. About 26% of jobs posted on Indeed could be highly transformed, 54% moderately transformed, and on average 46% of skills in a typical job posting fall into hybrid/full categories. Technology skills dominate the high‑exposure groups; 81% of software developer skills are in the hybrid zone, while much of nursing’s core remains in the minimal zone though admin tasks shift. The report emphasizes transformation over replacement: only 19 skills (0.7%) are now judged “very likely” to be fully replaced — a signal of progress but still limited. Methodologically, the move from a single‑model to a multi‑model, process‑aware evaluation revealed substantial variance across models and highlighted the importance of selecting the right model for specific workflows. Realized impact will hinge on firm-level adoption, digital maturity, and the continued limits of physical execution (absent advanced robotics), meaning GenAI will reshape job composition and oversight responsibilities more than wholesale layoffs in the near term.