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Heavy AI users submit work they don’t understand, report finds

What happened

Glean, an AI-powered work assistant company, published a report based on a survey of 6,000 digital workers which found that heavy AI users often submit work they don't understand and that excessive AI use can lead to disengaged employees.

Source

Article excerpt

Highlighted: the sentence this signal was extracted from

While the use of AI frees up time, Glean found, workers end up using that extra time to fix its mistakes - or simply ship products they can't stand behind. As organizations have pushed AI in a bid to not be left behind, the Glean report painted a picture of employees who feel overwhelmed and disengaged as a result of excessive AI tool use - and AI-generated work that is increasingly error-ridden, sloppy and without substance. "As the AI toggle tax increases, workers begin to cognitively offload," the Glean authors wrote. "They hand more of their thinking and judgment over to the machine. They start to cut corners. They stop checking outputs, verifying sources, and asking whether the AI's recommendations make any sense." Glean said the process is a "slow surrender of agency," rather than a single bad decision. "First, workers stop fully understanding the output," the report said. "Then they stop interrogating it. Eventually, they stop feeling responsible for it at all." Workers who've surrendered this agency also tended to blame AI for problems with the work. Twenty-eight percent of AI users have blamed AI for bad outputs, but among heavy users, that rate rose to 41%. Glean surveyed 6,000 full-time digital workers across the U.S. (3,000), the U.K. (1,500) and Australia (1,500). It conducted the survey in December and January. In addition to the proliferation of "workslop,"...

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Extracted by Autobound

From the Signal API record
Event
Launch

What this signalsA launch often needs new go-to-market and support spend.

Product
AI usage report

The full record

From the Signal API record

Details

Release type
Report

Topics and mentions

Product tags

  • report
  • data

Extraction

Confidence
90%
Detected
Jul 13, 2026
signal_type
news
signal_subtype
launches

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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/1571884f-ac81-1a79-df74-e4154d6962f5 returns this record as JSON. POST /v1/companies/enrich returns every signal for glean.com.

{
  "signal_id": "1571884f-ac81-1a79-df74-e4154d6962f5",
  "signal_type": "news",
  "signal_subtype": "launches",
  "detected_at": "2026-07-13T16:59:00+00:00",
  "company": {
    "name": "Glean",
    "domain": "glean.com"
  },
  "data": {
    "url": "https://www.hrdive.com/news/heavy-ai-users-submit-work-they-dont-understand-glean/825076/",
    "title": "Heavy AI users submit work they don’t understand, report finds",
    "author": "Emilie Shumway",
    "excerpt": "While the use of AI frees up time, Glean found, workers end up using that extra time to fix its mistakes - or simply ship products they can’t stand behind. As organizations have pushed AI in a bid to not be left behind, the Glean report painted a picture of employees who feel overwhelmed and disengaged as a result of excessive AI tool use - and AI-generated work that is increasingly error-ridden, sloppy and without substance. “As the AI toggle tax increases, workers begin to cognitively offload,” the Glean authors wrote. “They hand more of their thinking and judgment over to the machine. They start to cut corners. They stop checking outputs, verifying sources, and asking whether the AI’s recommendations make any sense.” Glean said the process is a “slow surrender of agency,” rather than a single bad decision. “First, workers stop fully understanding the output,” the report said. “Then they stop interrogating it. Eventually, they stop feeling responsible for it at all.” Workers who’ve surrendered this agency also tended to blame AI for problems with the work. Twenty-eight percent of AI users have blamed AI for bad outputs, but among heavy users, that rate rose to 41%. Glean surveyed 6,000 full-time digital workers across the U.S. (3,000), the U.K. (1,500) and Australia (1,500). It conducted the survey in December and January. In addition to the proliferation of “workslop,”...",
    "product": "AI usage report",
    "summary": "Glean, an AI-powered work assistant company, published a report based on a survey of 6,000 digital workers which found that heavy AI users often submit work they don't understand and that excessive AI use can lead to disengaged employees.",
    "planning": false,
    "image_url": "https://imgproxy.divecdn.com/iBvu8AkE5NI9CXa1IMFH3gB60GhAcMiRu9s_ESEQuRs/g:ce/rs:fit:770:435/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9HZXR0eUltYWdlcy0yMjM1ODA0NjcwLmpwZw==.webp",
    "confidence": 0.9,
    "product_data": {
      "name": "AI usage report",
      "full_text": "the Glean report",
      "fuzzy_match": false,
      "release_type": "report"
    },
    "product_tags": [
      "report",
      "data"
    ],
    "published_at": "2026-07-13T16:59:00Z",
    "article_sentence": "As organizations have pushed AI in a bid to not be left behind, the Glean report painted a picture of employees who feel overwhelmed and disengaged as a result of excessive AI tool use - and AI-generated work that is increasingly error-ridden, sloppy and without substance."
  }
}

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