30+ years of coding taught me every tech wave was overhyped. AI is different – it’s not automating tasks, it’s making entire workflows obsolete and reshaping what’s possible.
The story
I’ve been coding for over 30 years, living through every “revolutionary” technology wave. But AI is different. It’s not just changing how we work – it’s making entire workflows obsolete.
Here’s what most people miss: traditional workflows are linear and rule-based. You map out steps A through Z, build guardrails, and hope nothing breaks. AI workflows flip that completely. They’re autonomous, adaptive, and self-improving. Agents make real-time decisions, handle exceptions, and optimize processes without constant human babysitting.
I’ve spent eight years on the front lines of AI adoption, and the shift is stark. Banking onboarding used to require multiple teams passing documents back and forth. Now autonomous agents handle verification, compliance, and CRM integration in one fluid process. Healthcare systems route patient data between diagnostics and treatment platforms in real time.
But here’s the catch: embracing this efficiency means restructuring everything. Your processes need to be modular and data-driven. Forget hierarchical approvals – agents manage decisions in real time, and humans step in only for exceptions.
This demands new skills. Prompt engineering isn’t optional anymore – it directly controls how agents behave. You need to orchestrate multiple agents working together and master the art of blending agent autonomy with human oversight.
AI doesn’t just automate old tasks. It reshapes what’s possible and makes entire skill sets obsolete while creating demand for new ones. The winners will be those who master agent orchestration.
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