Why it matters: A long-form reflection on AI, intimacy, automation and the human consequences of pursuing increasingly capable machines, using historical and industrial parallels to question what should remain distinctly human.
Questions this perspective explores
- Where does the technology create real operating value, and where is it mostly a label?
- What governance, human oversight or architecture is required before scaling it?
- Which trade-offs should an executive understand before committing budget, people or architecture?