Success in the AI economy requires strategic positioning at multiple levels.
Skill Development Strategies
Not all skills face equal AI disruption. Strategic skill development focuses on AI-resistant capabilities.
Maria's skill strategy: - Technical: Understanding AI capabilities and limitations - Creative: Developing uniquely human perspectives - Social: Building irreplaceable relationships - Ethical: Navigating complex moral questions - Systemic: Seeing wholes AIs miss
Her skill portfolio thrived regardless of AI advancement.
Business Model Evolution
Traditional business models assume human-delivered value. AI-era models combine human and artificial intelligence optimally.
Robert evolved business models: - From service delivery to outcome guarantee - From time-based billing to value-based pricing - From individual expertise to system capability - From competitive advantage to collaborative networks - From efficiency focus to effectiveness orientation
Each evolution positioned for AI amplification rather than replacement.
Geographic AI Arbitrage
AI adoption varies globally, creating arbitrage opportunities for those who bridge gaps.
Sandra leveraged geographic differences: - Advanced AI from tech hubs to traditional regions - Cost arbitrage from high to low wage areas - Regulatory arbitrage across jurisdictions - Cultural adaptation for AI acceptance - Time zone advantages for continuous operation
Her global AI networks captured value from uneven development.