B
Evidence Grade B
Graded
accuracy verified by the review judge
Safe to Cite
Recent
39%
39% -- share reporting ebit impact for enterprises using AI (2025)
39% of firms report EBIT impact from AI at the enterprise level according to McKinsey's 2025 AI survey.
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Lighthouse Research Team
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Evidence graded
Value
39%
Unit
Percentage
Data Vintage
2025
Entity
Evidence Quality
B
Strong, reliable evidence
Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.
Single source - not yet corroborated
Score breakdown
Extraction
50
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
Source
McKinsey & Company
Primary
Tier C
https://www.quadient.com/de/blog/how-do-you-measure-the-roi-of-ai-in-accounts-receivable-in-2026 ↗
Source Article
How do you measure the ROI of AI in accounts receivable in 2026?
How do you measure the ROI of AI in accounts receivable in 2026?
May 22, 2026
Short answer: In 2026, the ROI of AI in accounts receivable proves strongest when teams use AI to reduce DSO, raise collector productivity, prioritize risky accounts, and improve cash visibility. The best results often com…
Original Research
McKinsey & Company
· Original study ↗
Methodology
McKinsey 2025 AI survey, as cited by Quadient blog
Methodology documented
Segmentation
Industrymarketing
Cite this stat
Plain Text
enterprises using AI: 39% share reporting ebit impact. Source: McKinsey & Company (2025). Via Lighthouse Intelligence -- https://lighthousedata.io/data/ai-ebit-impact-enterprise-2025
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<blockquote cite="https://lighthousedata.io/data/ai-ebit-impact-enterprise-2025" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>39%</strong> -- share reporting ebit impact for enterprises using AI<br><small>Source: McKinsey & Company (2025) · <a href="https://lighthousedata.io/data/ai-ebit-impact-enterprise-2025" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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