See where AI delivers business value – and where it’s missing the mark.

AI investments have reached an inflection point. Enterprises must move from adoption to real outcomes. Data from our AI in the Enterprise June 2026 Top 10 Insights report reveals how organizations are approaching AI adoption right now – and which initiatives are actually delivering tangible results.

As part of Info-Tech's ongoing AI Adoption and Impact Study, over 500 senior enterprise leaders responded to our AI in the Enterprise Survey. The resulting report offers a timely snapshot of AI maturity, strategy, investment, infrastructure, vendor sourcing, and workforce planning. Leverage these real-world findings to inform your own AI strategy going forward.

10 key insights reveal the current state of AI in the enterprise.

These 10 critical insights unpack what AI transformation looks like today and where it’s heading next.

1. More than four in 10 organizations have cross-departmental AI adoption with measurable impact.

This finding differs significantly from media headlines about scant ROI from AI initiatives. Our data suggests AI has reached a maturity level where most enterprises have moved past the pilot stage to department-wide adoption.

2. CIOs/CTOs mostly still own accountability for AI, but risk losing ownership if they don’t drive measurable impact.

Although most organizations assign a CIO or CTO to lead AI initiatives, that model does not lead to the best results. Who owns AI matters just as much as whether you have an AI strategy.

3. Enterprises with an AI strategy triple their chances of getting measurable value from AI.

Organizations that still treat AI strategy as a planning exercise are leaving measurable outcomes on the table.

4. Better data readiness leads to better results with AI.

Organizations that are seeing department-wide AI adoption with measurable results are more likely to rate their data quality as excellent.

5. Most organizations chose buy over build for AI sourcing.

Eight in 10 organizations prefer to buy AI solutions over building them in-house. While buying AI solutions can be a shortcut to value, keep an eye on the market for new AI-native vendors that may offer the best solution.

6. Three-quarters of IT executives believe AI will disrupt SaaS.

Over 75% expect AI to disrupt their current SaaS model within two years, 28% anticipate AI replacing one or more major platforms outright, and 47% say AI will reduce reliance on some tools.

7. When AI is deployed without proven value, organizations plan headcount reductions.

Organizations with department-wide adoption but no clear AI impact are most likely to cut jobs. But organizations that can demonstrate AI impact are the least likely to be cutting roles.

8. AI adoption spans all business functions but remains concentrated in IT.

While 85% of organizations have adopted AI in IT, more than one-third (38%) have already deployed it to customer-facing functions. Take what you’ve learned from deploying AI in IT and use it to enable the rest of the business.

9. Almost all IT executives expect AI budget increases in the next 12 months.

Over 95% anticipate their AI budget will rise. Having a board-approved AI strategy builds confidence and support for your AI budget: 73% of execs with a formal AI strategy are highly confident their AI budget will increase vs just 34% of IT leaders with an ad hoc AI approach.

10. Cost-cutting goals rarely lead to effective AI outcomes.

Among organizations’ most impactful AI use cases, cost reduction was the primary goal only 11% of the time. Cost savings may follow impactful AI use, but they should not anchor AI goals and use cases.