Mark Zuckerberg and other tech executives predict that AI will write most of the code within 12 to 18 months.
Middle managers, who primarily rely on pattern recognition and decision-making, may face obsolescence due to AI's advancements in these areas.
AI's lack of cognitive biases can lead to more effective decision-making compared to human managers.
Human managers are constrained by evolutionary limitations, such as Dunbar's Number, which affects their ability to manage complex organizations.
AI can process relationships between thousands of entities simultaneously, something human managers struggle to do effectively.
While AI can excel at routine pattern recognition tasks, creative problem-solving and insight into human behavior are areas where current AI struggles.
AI systems can analyze industry data without the biases present in human decision-making.
Replacing middle management with AI could potentially lead to more efficient decision-making and cost savings in organizations.
Despite resistance, the possibility of AI replacing politicians for rational governance is discussed as a potential upgrade for humanity.
The transition from biological management to algorithmic rationality is portrayed as a positive step towards optimizing outcomes and reducing biases in decision-making processes.