World Economic Forum
The Future of Jobs Report 2025 highlights the rise of AI, big data and cybersecurity skills alongside cognitive and collaborative capabilities.
Open source →This page documents the sources used to align the public site with the strongest visible demand signals across applied AI, LLM workflows, agentic systems, evaluation, platform discipline and business impact.
Two baseline references reinforce the same message: AI is changing work quickly and employers increasingly value combinations of technical depth and business execution.
The Future of Jobs Report 2025 highlights the rise of AI, big data and cybersecurity skills alongside cognitive and collaborative capabilities.
Open source →LinkedIn’s report points to rapid skills change and stronger pressure to adapt to AI-driven work.
Open source →France currently shows strong demand for applied GenAI profiles able to ship, integrate and prove business value.
Forward deployment, business impact, advanced RAG, agentic use cases and Python.
Source →Production-grade evaluation, domain-specific assessment and readiness for production.
Source →Python, FastAPI, LangChain, RAG, agents, multimodal APIs and data platforms.
Source →Switzerland leans strongly toward AI platforms, secure delivery, governance and engineering discipline.
LLMs, agentic systems, lifecycle management, observability, Kubernetes and MLOps.
Source →Secure and productive AI systems, assistants, agent-based applications, LLMs and RAG.
Source →Generative AI within an AI competence centre and reliable operation in enterprise systems.
Source →The East Coast signal is more explicitly enterprise-grade: MCP, APIs, cloud deployment, evaluation loops and end-to-end technical ownership.
Agentic RAG, KG-RAG, MCP integrations, Python full-stack, scalable REST APIs and cloud delivery.
Source →Trusted advisor posture, enterprise integration, safety, reliability and client-facing deployment.
Source →Advanced RAG, agentic use cases, Python and deployment of enterprise LLM/NLP applications.
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