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CheggLinkedIn

Tech employers confident in AI, but employees lag; index compares confidence across industries.

Source

LinkedInAug 5, 2026
likes
13
comments
2

Post

Tech employers feel confident about AI. Their employees are less convinced. While 97% of IT and software employers say their teams use AI effectively, only 65% of employees agree. The gap is a reminder that access to AI tools is not the same as feeling prepared to use them. See how AI confidence compares across industries in the Frontline Workers Skills Index. Link in the comments. 👇

linkedin.com/posts/chegg-inc-_tech-employers-feel-confident-about-ai-...Read the full source

Extracted by Autobound

From the Signal API record
Signal
LinkedIn

What this signalsCompany posts often show what the team is pushing right now.

The full record

From the Signal API record

Topics and mentions

Tags

  • Artificial Intelligence
  • Learning & Development
  • Talent Management
  • Workforce Management

Initiatives

  • analyzing AI confidence across industries

Pain points

  • employees lack confidence in AI usage
  • gap between AI tool access and preparedness

Technologies named

  • AI

Extraction

Detected
Aug 13, 2026
signal_type
linkedin-post-company
signal_subtype
linkedinPost

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The API returns more than this page shows

This page shows a preview. The full linkedin-post-company 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/e894aea1-f55f-4ca5-a6ac-3d0bc42c3ff3 returns this record as JSON. POST /v1/companies/enrich returns every signal for chegg.com.

{
  "signal_id": "e894aea1-f55f-4ca5-a6ac-3d0bc42c3ff3",
  "signal_type": "linkedin-post-company",
  "signal_subtype": "linkedinPost",
  "detected_at": "2026-08-13T12:03:20.153+00:00",
  "company": {
    "name": "Chegg",
    "domain": "chegg.com"
  },
  "data": {
    "tags": [
      "Artificial Intelligence",
      "Learning & Development",
      "Talent Management",
      "Workforce Management"
    ],
    "summary": "Tech employers confident in AI, but employees lag; index compares confidence across industries.",
    "post_url": "https://www.linkedin.com/posts/chegg-inc-_tech-employers-feel-confident-about-ai-their-activity-7490753493046218752-RkoR",
    "num_likes": 13,
    "post_text": "Tech employers feel confident about AI. Their employees are less convinced.\n\nWhile 97% of IT and software employers say their teams use AI effectively, only 65% of employees agree.\n\nThe gap is a reminder that access to AI tools is not the same as feeling prepared to use them.\n\nSee how AI confidence compares across industries in the Frontline Workers Skills Index. \n\nLink in the comments. 👇",
    "initiatives": [
      {
        "topic": "analyzing AI confidence across industries",
        "urgency": 0.4
      }
    ],
    "pain_points": [
      {
        "topic": "employees lack confidence in AI usage",
        "intensity": 0.6
      },
      {
        "topic": "gap between AI tool access and preparedness",
        "intensity": 0.6
      }
    ],
    "posted_date": "2026-08-05T13:00:04.212Z",
    "num_comments": 2,
    "technologies_mentioned": [
      {
        "name": "AI",
        "status": "using"
      }
    ]
  }
}

Long text fields are shortened on this page.

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