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EYNew customer

EY Global Vice Chair: AI’s biggest paradox comes down to what AI can’t do

What happened

Beverage manufacturer Lion worked with EY and its ecosystem partners, leading to a 75% faster customer response speed and a roughly 30% improvement in operating costs.

Source

Article excerpt

I’ve spent two decades inside a professional services firm where human judgment is foundational to the business model. Clients come to EY not just for analysis, but for the experience, insight, and perspective needed to navigate uncertainty and make better decisions. That is exactly the skill AI is now forcing into every job, whether the title on the door says analyst, technician, or machine operator. The paradox of the AI era is that the more capable the technology becomes, the more the market rewards the other things. Sought-after skills are intrinsically human - it all comes down to what AI can’t do. While investments in AI rise, companies are still missing out on up to 40% of AI productivity gains due to gaps in talent investment. Many training programs focus on technical AI experience, skipping over critical skills that will determine whether an AI strategy pays off. Technology thrives at repetitive tasks and surfacing data. But humans are responsible for defining the goal, setting the purpose and providing the context that gives information meaning. People decide which objectives are worth pursuing, recognize when context changes and remain accountable for the results. Without that human direction, data and insights may not be applied effectively or generate their full potential value. This reframes what an AI-orchestrated workplace looks like. It doesn’t remove the...

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Extracted from this sentence

Our recent work with the beverage manufacturer Lion evidenced this as collaboration with ecosystem partners led to 75% faster customer response speed and roughly 30% improvement in operating costs across its people function.

Extracted by Autobound

From the Signal API record
Event
New customer

What this signalsA new customer often means more work to staff, deliver and support.

Companies

  • LionClientlionco.com

More new customer signals at other companies

The full record

From the Signal API record

Extraction

Confidence
90%
Detected
Sep 27, 2026
signal_type
news
signal_subtype
signs_new_client

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The API returns more than this page shows

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/9bf124a1-de91-4b70-ebab-3dc9e9b6e687 returns this record as JSON. POST /v1/companies/enrich returns every signal for ey.com.

{
  "signal_id": "9bf124a1-de91-4b70-ebab-3dc9e9b6e687",
  "signal_type": "news",
  "signal_subtype": "signs_new_client",
  "detected_at": "2026-09-27T11:00:00+00:00",
  "company": {
    "name": "EY",
    "domain": "ey.com"
  },
  "data": {
    "url": "https://fortune.com/2026/09/27/ai-fluency-human-judgment-leadership/",
    "title": "EY Global Vice Chair: AI’s biggest paradox comes down to what AI can’t do",
    "author": "Julie Teigland",
    "excerpt": "I’ve spent two decades inside a professional services firm where human judgment is foundational to the business model. Clients come to EY not just for analysis, but for the experience, insight, and perspective needed to navigate uncertainty and make better decisions. That is exactly the skill AI is now forcing into every job, whether the title on the door says analyst, technician, or machine operator. The paradox of the AI era is that the more capable the technology becomes, the more the market rewards the other things. Sought-after skills are intrinsically human - it all comes down to what AI can’t do. While investments in AI rise, companies are still missing out on up to 40% of AI productivity gains due to gaps in talent investment. Many training programs focus on technical AI experience, skipping over critical skills that will determine whether an AI strategy pays off. Technology thrives at repetitive tasks and surfacing data. But humans are responsible for defining the goal, setting the purpose and providing the context that gives information meaning. People decide which objectives are worth pursuing, recognize when context changes and remain accountable for the results. Without that human direction, data and insights may not be applied effectively or generate their full potential value. This reframes what an AI-orchestrated workplace looks like. It doesn’t remove the...",
    "summary": "Beverage manufacturer Lion worked with EY and its ecosystem partners, leading to a 75% faster customer response speed and a roughly 30% improvement in operating costs.",
    "planning": false,
    "image_url": "https://fortune.com/img-assets/wp-content/uploads/2026/09/ey-julie-teigland-2025-meta-e1790097871145.jpg?resize=1200,600",
    "confidence": 0.9,
    "published_at": "2026-09-27T11:00:00Z",
    "article_sentence": "Our recent work with the beverage manufacturer Lion evidenced this as collaboration with ecosystem partners led to 75% faster customer response speed and roughly 30% improvement in operating costs across its people function.",
    "related_company_name": "Lion",
    "related_company_domain": "lionco.com"
  }
}

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