Dataset entry

Agentic AI Will Be Mainstream in Software, but Many Projects Will Still Fail

ai-business-signals ai_business_signal aibs-009 agents gartner project-failure roi legacy-integration enterprise-architecture
Separate durable agentic AI signals from hype and show where enterprise teams should be selective.

License & citation

Creator: Dzmitryi Kharlanau (SAP Lead).

Canonical: https://dkharlanau.github.io/datasets/ai-business-signals/aibs-009.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. “Agentic AI Will Be Mainstream in Software, but Many Projects Will Still Fail” (dataset bytes). CC BY-NC 4.0. DOI: 10.5281/zenodo.18862098. https://dkharlanau.github.io/datasets/ai-business-signals/aibs-009.json

Details: /legal/datasets/

LinkedIn

JSON (copy / reuse)
{
  "id": "aibs-009",
  "title": "Agentic AI Will Be Mainstream in Software, but Many Projects Will Still Fail",
  "type": "ai_business_signal",
  "theme": "agentic-ai",
  "intent": "Separate durable agentic AI signals from hype and show where enterprise teams should be selective.",
  "published_on": "2025-06-25",
  "source": {
    "organization": "Gartner",
    "title": "Gartner Predicts Over 40% of Agentic AI Projects Will Be Canceled by End of 2027",
    "url": "https://www.gartner.com/en/newsroom/press-releases/2025-06-25-gartner-predicts-over-40-percent-of-agentic-ai-projects-will-be-canceled-by-end-of-2027",
    "publisher_type": "primary",
    "methodology": "Gartner press release citing a January 2025 poll of 3,412 webinar attendees."
  },
  "fact": {
    "primary_stat": "Gartner predicted on June 25, 2025 that over 40% of agentic AI projects will be canceled by the end of 2027.",
    "supporting_stats": [
      "In Gartner’s January 2025 poll, 19% of respondents said their organization had made significant investments in agentic AI and 42% had made conservative investments.",
      "Gartner estimated only about 130 of the thousands of agentic AI vendors are real.",
      "Gartner also predicted that by 2028, 33% of enterprise software applications will include agentic AI and at least 15% of day-to-day work decisions will be made autonomously."
    ]
  },
  "business_relevance": [
    "Agentic AI is not a fad, but project failure risk is high when value, controls, and workflow fit are weak.",
    "Legacy integration complexity and costly modifications remain core execution risks."
  ],
  "dzmitryi_commentary": "This aligns directly with my focus. The way to avoid expensive agent failures in SAP-heavy environments is not to bolt autonomy into the core. It is to redesign AMS workflows, decision points, and knowledge retrieval first, then place agents side by side where value is measurable in cost, quality, speed, and recurrence reduction.",
  "focus_fit": [
    "agentic-ai",
    "sap-ams",
    "workflow-redesign",
    "cost-reduction"
  ],
  "tags": [
    "agents",
    "gartner",
    "project-failure",
    "roi",
    "legacy-integration",
    "enterprise-architecture"
  ],
  "meta": {
    "schema": "dkharlanau.dataset.byte",
    "schema_version": "1.1",
    "dataset": "ai-business-signals",
    "source_project": "cv-ai",
    "source_path": "ai-business-signals/aibs-009.json",
    "canonical_url": "https://dkharlanau.github.io/datasets/ai-business-signals/aibs-009.json",
    "created_at_utc": "2026-04-13T08:19:44+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": "Separate durable agentic AI signals from hype and show where enterprise teams should be selective.",
    "attribution": {
      "attribution_required": true,
      "preferred_citation": "Dzmitryi Kharlanau. “Agentic AI Will Be Mainstream in Software, but Many Projects Will Still Fail” (dataset bytes). CC BY-NC 4.0. DOI: 10.5281/zenodo.18862098. https://dkharlanau.github.io/datasets/ai-business-signals/aibs-009.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/"
    }
  }
}