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There is a sentence many executives resist: The most underestimated role in most companies is HR. Not because it runs policies. Because it shapes the system that determines who gets trusted with work. In this episode, Dr. Michael A. Campbell examines a shift most organizations have not fully absorbed. In an AI-accelerated economy, output is easier to generate than ever. But speed does not equal skill, and activity does not equal capability. The function that defines what counts as evidence, who is considered qualified, how performance is measured, and how advancement decisions are made quietly shapes company performance long before strategy is executed. Drawing on experience inside global companies like Intel and Lenovo, this episode reframes HR not as a support function, but as performance architecture. Hiring systems, evaluation criteria, reskilling investments, and advancement frameworks determine who gets decision authority, which skills are valued, and whether capability is verified or assumed. The conversation explores: • Why many AI and digital transformations underperform • How polished credentials are becoming easier to manufacture • Why participation and certificates are not proof of applied skill • The hidden cost of “almost right” hires • How proof-based systems expand access and reduce reliance on proxies When hiring systems rely on presentation instead of evidence, speed multiplies mistakes. When systems shift toward observable work and applied judgment, speed multiplies performance. This episode is for leaders who hire analysts, shape early-career pipelines, oversee reskilling investments, or care about how trust is constructed inside organizations. AI scales work. Proof of skill determines whether that work is trustworthy. This is The Work Ready Show. Making work visible where decisions get made.