
State of Enterprise AI Adoption
What your business needs to know to get AI right.
Get deep AI adoption and market data, including what enterprises are trying, where they are getting value and what our findings suggest about the best practices needed to increase adoption, scale and return on investment.
AI Adoption and Performance to Date
of prioritized use cases
are in production
spent on AI initiatives
on average to date
initiatives is achieving
expected ROI on growth
initiatives are achieving
expected efficiency gains

Leading AI Use Cases for IT
AI adoption in IT highlights the divide between high-volume use cases and specialist ones. This chart breaks down the top AI use cases for IT by their status - are they in production or still stuck in pilot? - as well as the amount of investment. The top use case, AI copilots, has only one-third in production, underscoring the difficulty of scaling front-line productivity tools.
Adoption stalls when you try to boil the ocean or bypass the mess
Boil the ocean, as in a multi-year data transformation program promising to “get our data right” before tackling AI. Or bypassing the mess: siloed pipelines for immediate needs. Neither extreme works. Enterprises should instead operate by experimenting rapidly, codifying lessons through adoption, and hardening them into scalable, compliant processes.

Let's dive in...
Bring your AI adoption questions to the table as you sit down with this report.
What’s actually happening at enterprises with AI — beyond the hype? Which use cases are having an impact? Should you build or buy? What key risk is in your blind spot? And if everyone keeps pace with adoption anyway, is it even possible to achieve differentiation?
This data- and insight-packed report is designed to be a key resource as you navigate your AI adoption over the next six to twelve months.

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