Algorithmic Governance and CEO Obsolescence and Liability
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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2026
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| _version_ | 1866901985217740800 |
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| author | Stern, Annabelle J. |
| author_facet | Stern, Annabelle J. |
| contents | <p>This paper advances a central proposition: the biological Chief Executive Officer (CEO), as currently<br>constituted within corporate governance structures, represents a high-latency, cognitively bounded,<br>and behaviorally inconsistent decision node — a legacy artifact of pre-algorithmic management theory.<br>As Artificial General Intelligence (AGI) systems approach what this paper terms 'Systemic Governance<br>Capability' (SGC), the velocity differential between human executive cognition (measured in hundreds<br>of milliseconds) and algorithmic market-response infrastructure (operating at sub-microsecond latency)<br>renders biological leadership not merely sub-optimal, but functionally incompatible with fiduciary<br>obligation. Drawing on empirical latency benchmarks, behavioral economics literature, neurocognitive<br>performance data, and corporate governance theory, this analysis argues that boards of directors will<br>face mounting legal and ethical pressure to transition C-suite functions toward optimized algorithmic<br>governance models. The CEO is not framed here as a visionary — but as a biological friction point<br>whose continued tenure carries quantifiable liability risk.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19520679 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Algorithmic Governance and CEO Obsolescence and Liability Stern, Annabelle J. algorithmic architecture structural obsolescence enviromental psychopathology spatial determinism technocratic design automated aesthetic human-centric displacement forensic urbanism elon musk mark zuckerburg alexandr wang bezos <p>This paper advances a central proposition: the biological Chief Executive Officer (CEO), as currently<br>constituted within corporate governance structures, represents a high-latency, cognitively bounded,<br>and behaviorally inconsistent decision node — a legacy artifact of pre-algorithmic management theory.<br>As Artificial General Intelligence (AGI) systems approach what this paper terms 'Systemic Governance<br>Capability' (SGC), the velocity differential between human executive cognition (measured in hundreds<br>of milliseconds) and algorithmic market-response infrastructure (operating at sub-microsecond latency)<br>renders biological leadership not merely sub-optimal, but functionally incompatible with fiduciary<br>obligation. Drawing on empirical latency benchmarks, behavioral economics literature, neurocognitive<br>performance data, and corporate governance theory, this analysis argues that boards of directors will<br>face mounting legal and ethical pressure to transition C-suite functions toward optimized algorithmic<br>governance models. The CEO is not framed here as a visionary — but as a biological friction point<br>whose continued tenure carries quantifiable liability risk.</p> |
| title | Algorithmic Governance and CEO Obsolescence and Liability |
| topic | algorithmic architecture structural obsolescence enviromental psychopathology spatial determinism technocratic design automated aesthetic human-centric displacement forensic urbanism elon musk mark zuckerburg alexandr wang bezos |
| url | https://doi.org/10.5281/zenodo.19520679 |