Description

The greatest risk may not be that today’s graduates lose their jobs but that tomorrow’s senior professionals never properly learn how to do them.

Summary

This article examines the 'deskilling' risk of AI, arguing that automating entry-level tasks may prevent new professionals from developing the foundational expertise required for senior roles. While efficiency gains are clear for experienced practitioners, the degradation of the learning process poses a long-term systemic risk to professional standards and human oversight. This loss of 'tacit knowledge' could impair the ability of future human experts to safely manage or audit AI systems in high-stakes environments like clinical psychology. The piece highlights a critical sociotechnical challenge for Australian workforce planning and the governance of AI integration in licensed professions.

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