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We are hiring for new AI-enabled roles but do not know what cognitive or behavioral profiles we need. How should we use assessments like the Predictive Index to design these job targets?

Hiring for AI-enabled seats requires a shift in how you evaluate candidates. You are no longer looking for raw execution speed; you are looking for problem-solving ability and cognitive agility. To design these job targets, we recommend using the Predictive Index to define the exact behavioral and cognitive requirements of the seat. An AI-heavy seat typically requires a high cognitive score, as the employee must rapidly learn, adapt, and troubleshoot evolving technologies. Behaviorally, they often need a high degree of autonomy and a preference for non-conforming, innovative thinking. Start by creating a clear job target in the Predictive Index platform before you write the job description. Identify the key behaviors required to manage AI workflows. Compare your candidates' assessment results against this target to ensure a strong fit. Do not rely solely on resumes that list AI buzzwords. Resumes are easily faked, especially now with AI writing assistants. By using data-driven assessments, you ensure you are placing the right people in the right seats on your Accountability Chart, reducing turnover and accelerating your AI operational strategy.

Category: AI & Business Strategy

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