B Evidence Grade B Graded accuracy verified by the review judge Safe to Cite Dated

15.4%

15.4% -- percentage content unusable for desk workers (2023)

2023  · n=1,150  · Harvard Business Review

15.4% of content received by surveyed U.S. desk workers was judged unusable.

  • Oversampled tech roles
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Attribution: Harvard Business Review View source
Lighthouse Research Team
Last verified:  ·  How we verify data →
Source verified Evidence graded
Value
15.4%
Unit
Percentage
Data Vintage
2023
Entity
desk workers
Sample Size
1,150
B
Strong, reliable evidence

Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.

63/100 confidence

Single source - not yet corroborated

Extraction
95
Source Trust
50
Citation Chain
90
Independence
30
Methodology
45
Freshness
79
Harvard Business Review Primary Tier A
http://developmentcorporate.com/saas/ai-workslop-ceo-credibility/ ↗
Confidence: 54/100 Vintage: 2023 Channel: Cc Extraction
Source Article
How “Workslop” Quietly Undermines Pre-Revenue CEOs — And Why AI Could Hurt Your Growth Story - Development Corporate
How “Workslop” Quietly Undermines Pre-Revenue CEOs — And Why AI Could Hurt Your Growth Story Introduction: When Speed Backfires Last year, a first-time enterprise software CEO I advised leaned heavily on generative AI to accelerate fundraising and pipeline. With only four employees and three months …
Original Research
Harvard Business Review · Original study ↗

HBR surveyed U.S. desk workers, oversampling tech roles.

Methodology documented
Channelcommon_crawl
Plain Text
desk workers: 15.4% percentage content unusable. Source: Harvard Business Review (2023). Via Lighthouse Intelligence -- https://lighthousedata.io/data/content-judged-unusable
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<blockquote cite="https://lighthousedata.io/data/content-judged-unusable" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>15.4%</strong> -- percentage content unusable for desk workers<br><small>Source: Harvard Business Review (2023) · <a href="https://lighthousedata.io/data/content-judged-unusable" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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