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Abdication to AI: Leadership AI Literacy as the Difference Between Governing and Being Governed by AI
Citation. Landers, R. N. (2026). Abdication to AI: Leadership AI Literacy as the Difference Between Governing and Being Governed by AI. The Journal of Applied Behavioral Science, 1–8. https://doi.org/10.1177/00218863261488831
Summary. Landers develops the proposition of “abdication to AI”: leaders may gradually cede judgment and authority to generative-AI output while remaining accountable for resulting decisions. The essay argues that fluent AI advice and conventional delegation structures can obscure this shift across organizational levels. It proposes leader AI literacy as a safeguard, enabling leaders to interpret, direct, and appropriately discount AI-sourced advice rather than treating it as authentic expert judgment.
Key claims
- Involuntary abdication to AI occurs when a leader’s judgment is replaced by AI output without the leader recognizing the substitution, while human accountability remains.
- Generative AI can disrupt organizational chains of accountable expertise because its fluent explanations may not faithfully represent how outputs were produced and may obscure AI influence on human advisors.
- Reliance on separate technical specialists does not eliminate the governance problem when leaders lack sufficient AI literacy to interpret the specialist’s advice in organizational context.
- AI literacy relevant to organizational strategy could help leaders decide when to heed, challenge, or discount AI advice, but the author notes that such literacy may be context-dependent, difficult to sustain as AI changes, and insufficient unless leaders exercise it.
Evidence & limitations
- This peer-reviewed Essays and Dialogues article is a conceptual argument grounded in prior literature rather than a new empirical study; its proposed mechanisms and remedies require testing.
- The argument assumes preserving human leadership judgment is valuable and distinguishes invisible involuntary abdication from voluntary delegation to genuinely capable AI systems.