Workforce Impact Forecasting
Workforce Impact Forecasting is the systematic use of advanced analytics to predict how technologies—especially automation and AI—will change employment levels, job structures, and skill requirements over time. It provides HR leaders, executives, unions, and policymakers with data-driven insights into which roles are at risk, which are likely to be augmented, and how task compositions within jobs are shifting. Beyond headcount, it evaluates impacts on job quality, working conditions, and the balance of power in labor relations. This application matters because most organizations and institutions are currently reacting to technological change with fragmented, politically driven decisions. Workforce Impact Forecasting offers a structured, scenario-based view of technology-driven labor market change, helping stakeholders design responsible adoption strategies, reskilling programs, and social dialogue frameworks in advance. By grounding decisions in evidence rather than hype, it enables more sustainable workforce planning, fairer transitions, and better alignment between business strategy, labor policy, and employee interests.
The Problem
“Forecast automation/AI impact on roles, skills, and headcount with defensible scenarios”
Organizations face these key challenges:
Workforce plans rely on workshops and spreadsheets that can’t be audited or repeated
No consistent view of which roles are at risk vs augmented, or why
Skill gap and reskilling budgets are reactive and miss emerging needs