About This Book
Abstract
We orchestrated a hybrid pipeline—ChatGPT, Microsoft Copilot, Google Gemini; IBM Quantum Runtime V2; Google Quantum AI (Cirq); and NVIDIA CUDA-Q—to simulate 100,000,000 labor-market scenarios for roles that do not materially exist in 2025 but become economically viable by 2027 under accelerating adoption of AI, robotics, edge hardware, and quantum. Our priors for demand/skills/compensation came from World Economic Forum, LinkedIn Economic Graph, and McKinsey macro trends, then were stress-tested in a quantum-accelerated search/estimation loop (QAOA for constrained portfolio selection; QAE for probability/uptake). We report the top-10 jobs, each with responsibilities, a 2026 upskilling path, projected U.S. salary bands, and resume-tailoring guidance. We conclude with governance, portability, and reproducibility notes. (WEF FoJ 2025; LinkedIn Economic Graph; McKinsey gen-AI & future-of-work; IBM Quantum Runtime V2; Google Quantum AI/Cirq; NVIDIA CUDA-Q.)
