B
Evidence Grade B
Graded
accuracy verified by the review judge
Safe to Cite
Aging
85%
85% -- ai project failure rate for AI projects (2024)
85% of AI projects fail to deliver intended business results according to Gartner (2024).
Attribution:
View source
Lighthouse Research Team
Last verified:
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Source verified
Evidence graded
Value
85%
Unit
Percentage
Data Vintage
2024
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
35
Freshness
95
Source
Gartner
Primary
Tier C
https://bitscale.ai/blogs/why-ai-sdr-implementations-fail ↗
Source Article
Why Some AI SDR Implementations Fail: Lessons for Modern Revenue Teams
Original Research
Gartner
· Original study ↗
Methodology
Gartner 2024 estimate cited by Bitscale
Methodology documented
Trend Over Time
| Period | Value | Change |
|---|---|---|
| 2018 | 75% | |
| 2024 (current) | 85% | +13.3% |
Segmentation
Industrymarketing
Cite this stat
Plain Text
AI projects: 85% ai project failure rate. Source: Gartner (2024). Via Lighthouse Intelligence -- https://lighthousedata.io/data/gartner-ai-project-failure-85
HTML Embed
<blockquote cite="https://lighthousedata.io/data/gartner-ai-project-failure-85" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>85%</strong> -- ai project failure rate for AI projects<br><small>Source: Gartner (2024) · <a href="https://lighthousedata.io/data/gartner-ai-project-failure-85" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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