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The Human and Organizational Side of AI Transformation

What happened

Gartner predicts in its 2025 AI Job Impacts Analysis that starting in 2028-2029, AI will create more jobs than it eliminates.

Source

Article excerpt

Highlighted: the sentence this signal was extracted from

To start, Gartner's 2025 AI Job Impacts Analysis lands a useful piece of clarity: there will be no "jobs apocalypse" due to AI - but there will be job chaos. Gartner predicts that starting in 2028-2029, AI will create more jobs than it eliminates. Wow - why is this not making as much headlines as Anthropic's new Claude Mythos? Yet what Gartner is also saying is that each year, more than 32 million jobs will be significantly transformed. Personally, the word transformed always excites me and calls me to action. I believe we have a huge role to play in this transformation of jobs, through our GBS/GCC/SSC organizations globally. That is the number that should anchor every GBS leadership conversation in the near future. Not "will AI take jobs?" but: are we ready to redesign 32 million jobs annually, at pace, without losing our People in the transition? The human and organizational side of AI transformation comes down to three shifts. We need to be clear at this point: we are no longer discussing just adding AI to existing jobs. What we are discussing is broader and deeper - we are, in fact, rebuilding what a job will look like in the future. AI is part of the job design, not just a gimmick or a tool. Let's not get distracted by the idea that AI will simply be a "copilot" (no association to the Microsoft brand) in our work lives. In Edition #1 of my Connecting.The.Dots...

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Event
Recognition

What this signalsAnalyst or press recognition often comes during a period of growth.

Recognition
2025 AI Job Impacts Analysis

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The full record

From the Signal API record

Extraction

Confidence
90%
Detected
Jul 31, 2026
signal_type
news
signal_subtype
recognized_as

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This page shows a preview. The full news record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/f329fe1c-7a8b-c2a4-a07c-8a01cd78a0c5 returns this record as JSON. POST /v1/companies/enrich returns every signal for gartner.com.

{
  "signal_id": "f329fe1c-7a8b-c2a4-a07c-8a01cd78a0c5",
  "signal_type": "news",
  "signal_subtype": "recognized_as",
  "detected_at": "2026-07-31T12:57:49+00:00",
  "company": {
    "name": "Gartner",
    "domain": "gartner.com"
  },
  "data": {
    "url": "https://www.ssonetwork.com/intelligent-automation/columns/human-organizational-side-ai-transformation-2/amp",
    "title": "The Human and Organizational Side of AI Transformation - SSON",
    "excerpt": "To start, Gartner's 2025 AI Job Impacts Analysis lands a useful piece of clarity: there will be no \"jobs apocalypse\" due to AI - but there will be job chaos. Gartner predicts that starting in 2028-2029, AI will create more jobs than it eliminates. Wow - why is this not making as much headlines as Anthropic's new Claude Mythos? Yet what Gartner is also saying is that each year, more than 32 million jobs will be significantly transformed. Personally, the word transformed always excites me and calls me to action. I believe we have a huge role to play in this transformation of jobs, through our GBS/GCC/SSC organizations globally. That is the number that should anchor every GBS leadership conversation in the near future. Not \"will AI take jobs?\" but: are we ready to redesign 32 million jobs annually, at pace, without losing our People in the transition? The human and organizational side of AI transformation comes down to three shifts. We need to be clear at this point: we are no longer discussing just adding AI to existing jobs. What we are discussing is broader and deeper - we are, in fact, rebuilding what a job will look like in the future. AI is part of the job design, not just a gimmick or a tool. Let's not get distracted by the idea that AI will simply be a \"copilot\" (no association to the Microsoft brand) in our work lives. In Edition #1 of my Connecting.The.Dots. newsletter...",
    "summary": "Gartner predicts in its 2025 AI Job Impacts Analysis that starting in 2028-2029, AI will create more jobs than it eliminates.",
    "planning": false,
    "confidence": 0.9,
    "recognition": "2025 AI Job Impacts Analysis",
    "published_at": "2026-07-31T12:57:49Z",
    "article_sentence": "Gartner predicts that starting in 2028-2029, AI will create more jobs than it eliminates."
  }
}

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