What will AI do to your career?

AI is increasingly becoming a powerful tool in software development, but its success hinges on human guidance, validation, and accountability as it often generates unstable code that requires intervention. This dynamic suggests that humans are not being replaced but are evolving from code writers to strategic roles such as product architects and customer outcome engineers, paralleling how accountants transitioned from calculators to advisors with the advent of Excel. As AI democratizes software creation, it allows for rapid and personalized development, lowering the barriers to production and enabling companies to build custom solutions. This shift requires a new infrastructure to support AI capabilities, focusing on high-level problem-solving while AI handles execution. Temporal emerges as a critical infrastructure, providing orchestration and resilient communication essential for managing complex AI systems at scale. It integrates seamlessly with existing tools, enhancing observability and control, and represents a vital shift in building reliable AI systems. As we approach this new industrial era, developers who adapt by focusing on reliability and innovation will thrive, supported by infrastructures like Temporal that transform AI experiments into reliable production systems.