{
  "title": "AKI AI Skills Intelligence™ (v1.1) — Ground Truth, Economic Velocity & Labor Disruption",
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  "faqs": [
    {
      "question": "Is prompt engineering dead in 2026?",
      "answer": "Standalone prompt engineering is rapidly declining, with listings down from 34.3% to 31.5% and a half-life of just 12–18 months. Manual natural language prompting has been superseded by structured multi-agent coordination frameworks (LangGraph, CrewAI), programmatic tool protocols (Model Context Protocol / MCP), and automated system instruction compilers."
    },
    {
      "question": "What are the most in-demand AI skills in 2026?",
      "answer": "Based on our audit of 360,000 tech job postings, the top three foundational AI competencies are AI Agent Orchestration (LangGraph, CrewAI, MCP), PyTorch & Deep Learning Systems (CUDA, Triton, vLLM), and SQL & Data Ops for LLMs (pgvector, DuckDB, ClickHouse). Among emerging skills, AI Evaluation & Red-Teaming has surged +84% YoY."
    },
    {
      "question": "What is the ROI of enterprise AI skills training?",
      "answer": "Enterprise returns range from $3.70 per $1 invested at the baseline up to $10.30 for organizations deploying advanced multi-agent workflows. Knowledge workers save an audited average of 11.4 hours per week when skilled in autonomous agent delegation, evaluation harness setup, and context engineering."
    },
    {
      "question": "Why has AI Agent Orchestration momentum surged +117% YoY?",
      "answer": "Enterprises are transitioning from single-turn chat interfaces to autonomous agent fleets (expanding from 12 to 20 agents per company). Multi-agent orchestration enables goal decomposition, error recovery, and standardized tool execution across Model Context Protocol (MCP) endpoints."
    },
    {
      "question": "How is the AKI Availability Score™ for skills calculated?",
      "answer": "The Availability Score is an actuarial composite weighting Popularity (30%), ROI/Value multiplied by Evidence Confidence (25%), Emergence velocity (20%), Durability (15%), and Evidence Confidence (10%), adjusted by a strict 7-day recency decay factor Rd(d)."
    }
  ],
  "citations": {
    "apa": "AKI Research Consortium. (2026, September). AKI AI Skills Intelligence™ v1.1: Actuarial Auditing of Frontier AI Competencies, Economic Velocity & Labor Disruption. AKI Platform Autonomous Intelligence Telemetry. https://aki1k.com/ai-skills",
    "ieee": "AKI Research Consortium, \"AKI AI Skills Intelligence™ v1.1: Actuarial Auditing of Frontier AI Competencies, Economic Velocity & Labor Disruption,\" AKI Platform Autonomous Intelligence Telemetry, Sep. 2026. [Online]. Available: https://aki1k.com/ai-skills",
    "bibtex": "@article{aki_ai_skills_v1_1_2026,\n  title = {AKI AI Skills Intelligence™ v1.1: Actuarial Auditing of Frontier AI Competencies, Economic Velocity & Labor Disruption},\n  author = {{AKI Research Consortium}},\n  journal = {AKI Platform Autonomous Intelligence Telemetry},\n  year = {2026},\n  month = {September},\n  url = {https://aki1k.com/ai-skills},\n  note = {Zero-Incentive-Protocol (ZIP-1.0) Sealed on Cloudflare D1 & R2}\n}",
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