31.3% -- share of ai case studies mentioning failures for enterprise AI case studies (2025)

The share of ai case studies mentioning failures for enterprise AI case studies is 31.3% as of 2025 according to Applied AI. This figure is the primary benchmark in the Lighthouse dataset for this segment. Individual results vary by region, channel mix, and audience quality.

A strong share of ai case studies mentioning failures benchmark for enterprise AI case studies is 31.3%, using the current serving value as of 2025. This is one serving-eligible observation, not a distribution median; top-quartile comparisons require the underlying distribution. Vertical, audience size, and campaign type all shift what 'good' means.

The published share of ai case studies mentioning failures serving value for enterprise AI case studies is 31.3% as of 2025. Individual sectors and audiences may differ substantially; this single observation does not establish an aggregate mean. Quartile comparisons require the underlying distribution, which is not implied by this record.

Primary drivers of share of ai case studies mentioning failures variation for enterprise AI case studies include audience segmentation, timing, and channel selection. Methodology documents campaign factors, but this serving record does not quantify the effect of personalization. The current serving value is 31.3% as of 2025.

For a digital marketer, the published share of ai case studies mentioning failures serving value is 31.3%; it is an evidence-grade reference, not a personalized target as of 2025. Any performance goal should account for channel mix and audience. Review the methodology before operational decisions; a gap from this serving value does not by itself indicate a structural issue.