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kelly curtis just unveiled a controversial AI-driven strategy that could slash operating costs 30% and spark a boardroom rebellion. In a closed-door session, Curtis proposed replacing 40% of mid-level management with predictive algorithms, aiming for real-time efficiency gains worth $2.1 billion annually. Early adopters see a 15% profit surge; critics warn of a talent exodus. For CEOs, the question is: Do you bet on the machine or the people?
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kelly curtis just unveiled a controversial AI-driven strategy that could slash operating costs 30% and spark a boardroom rebellion. In a closed-door session, Curtis proposed replacing 40% of mid-level management with predictive algorithms, aiming for real-time efficiency gains worth $2.1 billion annually. Early adopters see a 15% profit surge; critics warn of a talent exodus. For CEOs, the question is: Do you bet on the machine or the people?