Skills to Hire For in the Anthropic Economic Index Era
The Anthropic Economic Index shows which tasks Claude augments vs automates — and the exact skills your team must learn and hire for in 2026.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
The Anthropic Economic Index shows which tasks Claude augments vs automates — and the exact skills your team must learn and hire for in 2026.
A hub-and-spoke operating model for scaling agentic AI — shared skills, governed tools, and central cost observability, without the sprawl.
Where Claude agents genuinely win vs when a script or human is the right call — an honest decision guide grounded in the Anthropic Economic Index.
Scoped tools, audit logs, human-in-the-loop gates, and injection defense — the governance controls leaders need before scaling agentic AI at work.
Engineer agentic-AI adoption with habits, shared skills, and team norms — lessons from the Anthropic Economic Index on why great tools still stall.
A task-level ROI model for agentic AI from the Anthropic Economic Index — augmentation vs automation, token vs review cost, and defending the number.
Move an existing workflow onto a Claude agent without breaking it — shadow mode, staged rollout, eval baselines, human gates, and one-switch rollback.
Build an eval loop for Claude agents — score task success, tool use, and safety with LLM judges, then gate every release in CI against a baseline.
Harden Claude agents with sandboxing, least privilege, safe secrets handling, and prompt-injection defense. A practical six-step security checklist.