68% of Indian white-collar professionals expect their roles to be partially or fully automated within five years. 61% say they are considering upskilling. Only 4% have actually started. The gap between fear and informed action is where unexamined decisions live. This audit closes that gap.
What this instrument measures and the frameworks behind it
Three diagnostic dimensions:
Dimension 1: Task Composition, What does your work actually consist of? Grounded in Autor, Levy and Murnane's Task Model (2003), the most cited framework in automation research. Classifies work into routine cognitive (high automation risk), non-routine cognitive analytical (augmentable), and non-routine interpersonal (lowest risk). This is the primary predictor of displacement risk.
Dimension 2: Domain Exposure and Trajectory, Is AI already visibly reshaping your domain, and is that exposure accelerating or stable? Grounded in Frey and Osborne's Automation Probability Framework (2017) and BCG AI at Work Report (2025). Distinguishes theoretical risk from actual current exposure.
Dimension 3: Response Readiness, Do you have the fluency to upskill effectively and the adaptability to reposition if needed? Grounded in Briscoe and Hall's Protean Career Adaptability Scale (2006).
The trajectory fix: One question specifically measures whether AI impact in your domain is accelerating or stable, because a role that is safe today can become exposed within 18 months in fast-moving sectors.
What this is not: A validated psychometric instrument. A career counselling service. A guarantee of any outcome. The questions and thresholds are practitioner-designed based on referenced frameworks. Your honest answers determine the quality of the output.
Dimension 1: Task Composition, What does your work actually consist of? Grounded in Autor, Levy and Murnane's Task Model (2003), the most cited framework in automation research. Classifies work into routine cognitive (high automation risk), non-routine cognitive analytical (augmentable), and non-routine interpersonal (lowest risk). This is the primary predictor of displacement risk.
Dimension 2: Domain Exposure and Trajectory, Is AI already visibly reshaping your domain, and is that exposure accelerating or stable? Grounded in Frey and Osborne's Automation Probability Framework (2017) and BCG AI at Work Report (2025). Distinguishes theoretical risk from actual current exposure.
Dimension 3: Response Readiness, Do you have the fluency to upskill effectively and the adaptability to reposition if needed? Grounded in Briscoe and Hall's Protean Career Adaptability Scale (2006).
The trajectory fix: One question specifically measures whether AI impact in your domain is accelerating or stable, because a role that is safe today can become exposed within 18 months in fast-moving sectors.
What this is not: A validated psychometric instrument. A career counselling service. A guarantee of any outcome. The questions and thresholds are practitioner-designed based on referenced frameworks. Your honest answers determine the quality of the output.
