B
Evidence Grade B
Graded
under review
Safe to Cite
Current
90%
90% -- genai adoption rate for Enterprise AI decision makers (2026)
Attribution:
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Lighthouse Research Team
Last verified:
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Source verified
Evidence graded
Value
90%
Unit
Percentage
Data Vintage
2026
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
Forrester
Primary
Tier C
https://www.decodable.co/blog/llms-need-real-time-data-to-deliver-contextual-results ↗
Source Article
LLMs Need Real-Time Data to Deliver Contextual Results
Large Language Models (LLMs) were initially designed for language generation, not real-time decision support, knowledge sharing, or data extraction. Their expected functionality was to predict and generate human-like text by learning statistical patterns in large amounts of language data. But with t…
Original Research
Forrester
· Original study ↗
Methodology
Forrester survey finding cited by Decodable; original methodology not stated
Methodology documented
Segmentation
Industrymarketing
Cite this stat
Plain Text
Enterprise AI decision makers: 90% genai adoption rate. Source: Forrester (2026). Via Lighthouse Intelligence -- https://lighthousedata.io/data/enterprise-genai-adoption-plans-forrester
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<blockquote cite="https://lighthousedata.io/data/enterprise-genai-adoption-plans-forrester" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>90%</strong> -- genai adoption rate for Enterprise AI decision makers<br><small>Source: Forrester (2026) · <a href="https://lighthousedata.io/data/enterprise-genai-adoption-plans-forrester" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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