Dataset entry

AI Ambition Is Outrunning Workforce Readiness

ai-business-signals ai_business_signal aibs-003 readiness digital-adoption training roi enterprise-change
Show that AI investment alone does not create operational value without employee readiness and digital adoption.

License & citation

Creator: Dzmitryi Kharlanau (SAP Lead).

Canonical: https://dkharlanau.github.io/datasets/ai-business-signals/aibs-003.json

License: CC BY-NC 4.0 (non-commercial only, attribution with source link required).

Concept DOI: 10.5281/zenodo.18862098

Version DOI (`v1.0.0`): 10.5281/zenodo.18862097

Repository: https://github.com/dkharlanau/dkharlanau-datasets

Suggested citation: Dzmitryi Kharlanau. “AI Ambition Is Outrunning Workforce Readiness” (dataset bytes). CC BY-NC 4.0. DOI: 10.5281/zenodo.18862098. https://dkharlanau.github.io/datasets/ai-business-signals/aibs-003.json

Details: /legal/datasets/

LinkedIn

JSON (copy / reuse)
{
  "id": "aibs-003",
  "title": "AI Ambition Is Outrunning Workforce Readiness",
  "type": "ai_business_signal",
  "theme": "adoption-readiness",
  "intent": "Show that AI investment alone does not create operational value without employee readiness and digital adoption.",
  "published_on": "2025-02-25",
  "source": {
    "organization": "WalkMe (SAP company)",
    "title": "New WalkMe Research Reveals Major Gap Between AI Ambitions and Employee Readiness",
    "url": "https://news.sap.com/2025/02/new-walkme-research-gap-between-ai-ambitions-employee-readiness/",
    "publisher_type": "primary",
    "methodology": "WalkMe 2025 State of Digital Adoption Report: Special AI Edition; nearly 4,000 enterprise leaders and employees globally."
  },
  "fact": {
    "primary_stat": "79% of executives expressed confidence in achieving AI transformation goals, but only 28% of employees felt adequately trained.",
    "supporting_stats": [
      "Only 25% of employees said they can use AI to work more efficiently.",
      "Large enterprises lost an average of $104 million in 2024 due to underused technology and poor productivity practices.",
      "93% of enterprises surveyed were reevaluating infrastructure, software applications, and talent strategies for AI success."
    ]
  },
  "business_relevance": [
    "The readiness gap is measurable in lost productivity and underused software, not just sentiment.",
    "Adoption design is a business capability, not a change-management afterthought."
  ],
  "dzmitryi_commentary": "This fits the practical AI angle: the failure mode is rarely 'no model available'; it is that teams cannot absorb the new workflow. In SAP support and operations, that means you need searchable knowledge, role-based enablement, and clear human-in-the-loop boundaries before expecting ROI from copilots or agents.",
  "focus_fit": [
    "practical-ai",
    "operational-continuity",
    "team-enablement",
    "support-transformation"
  ],
  "tags": [
    "readiness",
    "digital-adoption",
    "training",
    "roi",
    "enterprise-change"
  ],
  "meta": {
    "schema": "dkharlanau.dataset.byte",
    "schema_version": "1.1",
    "dataset": "ai-business-signals",
    "source_project": "cv-ai",
    "source_path": "ai-business-signals/aibs-003.json",
    "canonical_url": "https://dkharlanau.github.io/datasets/ai-business-signals/aibs-003.json",
    "created_at_utc": "2026-04-13T08:03:03+00:00",
    "updated_at_utc": "2026-04-13T08:37:04+00:00",
    "creator": {
      "name": "Dzmitryi Kharlanau",
      "role": "SAP Lead",
      "website": "https://dkharlanau.github.io",
      "linkedin": "https://www.linkedin.com/in/dkharlanau"
    },
    "links": {
      "website": "https://dkharlanau.github.io",
      "linkedin": "https://www.linkedin.com/in/dkharlanau",
      "repository": "https://github.com/dkharlanau/dkharlanau-datasets"
    },
    "contact": {
      "preferred": "linkedin",
      "linkedin": "https://www.linkedin.com/in/dkharlanau"
    },
    "provenance": {
      "source_type": "chat_export_extraction",
      "note": "Extracted and curated by Dzmitryi Kharlanau; enriched for attribution and crawler indexing."
    },
    "entity_type": "ai_business_signal",
    "entity_subtype": "",
    "summary": "Show that AI investment alone does not create operational value without employee readiness and digital adoption.",
    "attribution": {
      "attribution_required": true,
      "preferred_citation": "Dzmitryi Kharlanau. “AI Ambition Is Outrunning Workforce Readiness” (dataset bytes). CC BY-NC 4.0. DOI: 10.5281/zenodo.18862098. https://dkharlanau.github.io/datasets/ai-business-signals/aibs-003.json"
    },
    "doi": {
      "concept": "10.5281/zenodo.18862098",
      "version": "10.5281/zenodo.18862097",
      "repository": "https://github.com/dkharlanau/dkharlanau-datasets"
    },
    "license": {
      "name": "Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)",
      "spdx": "CC-BY-NC-4.0",
      "url": "https://creativecommons.org/licenses/by-nc/4.0/"
    }
  }
}