AI and Hiring
"AI Can Technically Perform 12% of US Labor Market's Wage Value" via Massachusetts Institute of Technology
Most leaders point AI at dev teams. The real exposure sits in the back office.
Massachusetts Institute of Technology’s Project Iceberg unveils the Iceberg Index, a skills-centered KPI showing 11.7% of wage value is technically automatable vs 2.2% in visible tech roles.
The Index measures the wage value of skills AI tools can do inside each occupation.
Tech exposure is 2.2% or about $211B, while administrative, financial, and professional services average 11.7% or roughly $1.2T, spread across every state.
Hiring is already shifting and models write over a billion lines of code daily; state usage aligns 69% with the Index and skill embeddings predict 85% of career moves.
Math for your board: if 11.7% maps to a $200M payroll, that is $23.4M of tasks ready for redesign. Start where cycle time and error rates are highest.
Run a skills inventory for finance, admin, and pro services, pick 20 high-frequency tasks, and ship 90-day pilots with clear baselines.