The AI Transition: Rewiring Work, Life, and the Global Economy

I recently gave a presentation on the Future of AI. The presentation discusses the unprecedented adoption and innovation in AI technologies, key considerations, and how organizations and individuals alike can position ourselves.

• OpenAI and Anthropic are scaling revenue rapidly, with OpenAI reaching ~$20B+ and Anthropic compounding even faster. This potentially signals one of the steepest commercialization curves in software history.
• The market is shifting from initial consumer democratization and experimentation to enterprise adoption and integration. From coding, operations, decision support), it is conceivable that nearly every function in organizations will be assessed again with AI augmentation and automation.
• Workforce dynamics are adjusting in real time: AI-related skills are among the fastest-growing categories globally, while routine roles are declining. This may point to structural, not cyclical, labor market change.
• The convergence of capital investment, enterprise adoption, and labor reconfiguration suggests AI is not a typical software cycle, but rather a foundational technology shift scaling faster than any prior computing paradigm.
• For investors, one implication is that long-tail value creation is expanding from model development to application-layer capture and workflow ownership.
• For individual and organizations, one implication is the ability to adapt quickly.