AI Investment and Confidence are High, But Results are Lagging.
Most organizations have learned to deploy AI. The work of running it is where 2026 programs stall.
Of leaders say AI is making them more competitive.
Are increasing AI investment in the year ahead.
Say AI hasn’t met expectations.
What's Inside the Report
Benchmark Your Program
Where 800 organizations stand on AI today, across industries, functions, and operating budgets from $100M to over $20B. Data to see how your AI initiatives compare against peers.
Learn why 73% of organizations are still hitting adoption walls due to a lack of user trust and poor workflow fit.
Spot the Patterns
What separates the organizations getting more from AI from those getting less, and where the operational gaps show up.
Organizations with dedicated AI teams are 3.6 times more likely to have autonomous AI in production.
Apply the Findings
Best practices covering what to put in place to run AI as ongoing operational work, not a one-time launch event.
Learn how leading organizations are addressing the data challenges that impact 88% of AI programs before launch, after launch, or both.
Get the Frameworks
Frameworks built into the report, ready for your own team conversations and decisions.
These tools help bridge the ‘Bandwidth Gap,’ a primary barrier for the 58% of organizations currently struggling to find the internal resources to run AI effectively.
Chief Digital Officer
The work of making AI work in 2026 is operational.
This report digs into the AI business trends that show what that looks like across 800 organizations.