{
  "version": "https://jsonfeed.org/version/1.1",
  "title": "Fenrik Signals",
  "home_page_url": "https://mikekrohn.ai/",
  "feed_url": "https://mikekrohn.ai/feed.json",
  "description": "Commercial signals, field notes, and practical AI tools for B2B teams.",
  "language": "en",
  "items": [
    {
      "id": "https://mikekrohn.ai/blog/ai-adoption-value-gap-2026",
      "url": "https://mikekrohn.ai/blog/ai-adoption-value-gap-2026",
      "title": "Everyone Adopted AI. Almost Nobody Is Banking the Value — Yet.",
      "summary": "Adoption is effectively universal; measurable returns are not. A desk's-eye reading of the 2025–26 data from Stanford, McKinsey, MIT, Gartner, and Menlo Ventures — and what the gap between the two means if you sell AI work.",
      "date_published": "2026-06-19T00:00:00.000Z",
      "tags": [
        "AI Adoption",
        "Research",
        "Commercial Strategy",
        "Market Signals"
      ]
    },
    {
      "id": "https://mikekrohn.ai/blog/real-ai-agents-workday-field-note",
      "url": "https://mikekrohn.ai/blog/real-ai-agents-workday-field-note",
      "title": "Field Note: What Real AI Agents Change in a Workday",
      "summary": "The practical shift from chatbots to real AI agents is not that work disappears. It is that more of the day becomes delegation, inspection, and recovery.",
      "date_published": "2026-06-04T00:00:00.000Z",
      "tags": [
        "AI Agents",
        "OpenClaw",
        "Field Notes",
        "AI Adoption"
      ]
    },
    {
      "id": "https://mikekrohn.ai/blog/getting-started-claude-code",
      "url": "https://mikekrohn.ai/blog/getting-started-claude-code",
      "title": "Getting Started with Claude Code: A Practitioner's Guide for Non-Engineers",
      "summary": "Claude Code is the most powerful AI coding tool most non-technical professionals have never heard of. Here's how to go from zero to shipping real software — no coding background required.",
      "date_published": "2026-03-18T00:00:00.000Z",
      "tags": [
        "Claude Code",
        "How-To",
        "AI Tools",
        "Practitioners Guide"
      ]
    },
    {
      "id": "https://mikekrohn.ai/blog/adkar-meets-ai",
      "url": "https://mikekrohn.ai/blog/adkar-meets-ai",
      "title": "ADKAR Meets AI: A Human-Centered Framework for Adoption",
      "summary": "ADKAR was built for organizational change. GenAI adoption is organizational change. Yet most AI rollouts skip the Awareness and Knowledge stages entirely and wonder why Reinforcement never sticks. Here's a practical mapping.",
      "date_published": "2026-03-05T00:00:00.000Z",
      "tags": [
        "ADKAR",
        "Framework",
        "AI Adoption",
        "Practical Guide"
      ]
    },
    {
      "id": "https://mikekrohn.ai/blog/dunning-kruger-enterprise-ai",
      "url": "https://mikekrohn.ai/blog/dunning-kruger-enterprise-ai",
      "title": "The Dunning-Kruger Effect in Enterprise AI: Field Evidence",
      "summary": "Employees consistently overestimate their AI competence — by a factor of 5. I measured the Dunning-Kruger effect directly in a controlled workshop. Section AI's research confirms the pattern at scale: confident users are often the least prepared.",
      "date_published": "2026-02-20T00:00:00.000Z",
      "tags": [
        "AI Readiness",
        "Research",
        "Behavioral Science",
        "Training"
      ]
    },
    {
      "id": "https://mikekrohn.ai/blog/why-transformations-fail",
      "url": "https://mikekrohn.ai/blog/why-transformations-fail",
      "title": "Why 70% of Digital Transformations Fail — And What AI Changes About That Calculus",
      "summary": "McKinsey's landmark statistic has defined the transformation conversation for a decade. But the reason for failure has always been people, not technology. Here's how generative AI creates both new risks and new opportunities for getting it right.",
      "date_published": "2026-02-03T00:00:00.000Z",
      "tags": [
        "Digital Transformation",
        "McKinsey",
        "Change Management",
        "AI Adoption"
      ]
    },
    {
      "id": "https://mikekrohn.ai/blog/ai-productivity-paradox",
      "url": "https://mikekrohn.ai/blog/ai-productivity-paradox",
      "title": "The AI Productivity Paradox: Why More Tools Doesn't Mean More Output",
      "summary": "Organizations are deploying AI tools at scale while productivity metrics stay flat. My 6-month research at Utiligize uncovered why — and what it actually takes to translate individual AI gains into organizational results.",
      "date_published": "2026-01-15T00:00:00.000Z",
      "tags": [
        "AI Adoption",
        "Research",
        "Productivity",
        "Change Management"
      ]
    }
  ]
}