This research examines how generative artificial intelligence is rapidly transforming workplace responsibilities faster than traditional salary systems can adapt. It highlights a widespread compensation gap, where employers struggle to accurately price new technological skills while most workers report no wage increases despite having mastered these tools. To prevent issues like wage scatter, metric gaming, and eroding employee trust, organizations must transition away from ad hoc approaches. Instead, leaders are encouraged to implement evidence-based strategies such as rebuilding job architecture around verified capabilities, sharing measured productivity gains through variable pay, and ensuring strict pay equity. Ultimately, the literature emphasizes that companies must transparently pair these rising performance expectations with funded professional development to maintain fairness and organizational trust.

A Debate about the Price of AI Fluency

A Debate about the Price of AI Fluency

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