State of enterprise AI
The state of enterprise AI
What real enterprise AI deployments actually look like, in numbers — where they happen, what they deliver, whether they last, and which platforms run them. Computed from a continuously updated, source-linked corpus, not a survey.
3,307
18
77
6
As of Jul 2023 – Jun 2026, AI Use Cases Hub tracks 3,307 source-linked enterprise AI deployments across 18 industries and 77 countries. Where outcomes are quantified, the most-documented is time & speed — a median 50% reduction across 639 cases. Of the 166 deployments first documented in 2023 we can judge, 97% still have live public evidence today.
Where AI is deployed
Documented deployments by industry (top 8).
The platform landscape
Documented deployments by cloud platform.
65% of deployments with a named platform
18% of deployments with a named platform
15% of deployments with a named platform
0% of deployments with a named platform
0% of deployments with a named platform
1% of deployments with a named platform
What it delivers
Median reported change by outcome category, among the 1,522 cases with a quantified result.
Time & speed
−50%
median reduction · 639 cases · p25–p75 35–80%
Cost savings
−43%
median reduction · 324 cases · p25–p75 27–72%
Quality & accuracy
+90%
median improvement · 266 cases · p25–p75 60–97%
Productivity & throughput
+43%
median improvement · 205 cases · p25–p75 25–75%
Automation & deflection
+69%
median improvement · 112 cases · p25–p75 32–85%
Revenue & growth
+32%
median improvement · 144 cases · p25–p75 15–86%
Do they last?
Of the 166 deployments first documented in 2023 that we can judge, 97% still have live public evidence today — 67% because the organization has since been documented doing more AI.
How persistence is measured →ⓘ How this is measured
Every figure is computed from the AI Use Cases Hub corpus — a continuously updated set of real, source-linked enterprise AI deployments — not a survey or estimate. Deployment counts are exact; outcome figures cover only the subset of cases that report a quantified result; persistence covers the 2023 cohort old enough to judge.
Data updated Jun 2026.