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A 25-year veteran software engineer explains the technical evolution of AI from basic LLMs to agentic frameworks, covering supervised fine-tuning, reinforcement learning, chain-of-thought reasoning, tool calls, and the ReAct architecture. The piece argues that while current AI lacks true reasoning or AGI, agentic AI systems can now perform complex white-collar cognitive work for over an hour with 80%+ success rates — comparable to average human workers — and this capability is doubling every six months. The conclusion is that AI-driven displacement of white-collar jobs is genuinely imminent, even if the 12-18 month timeline from some predictions may be slightly aggressive.