✓What You'll Learn
Our research across 500 senior business leaders in 48 countries reveals where AI is delivering the highest ROI, what separates AI leaders from laggards, and the investment priorities shaping 2026.
Diztaly's 2025 State of Business AI Report draws on insights from 500 senior business leaders across 48 countries and 12 industry sectors — painting the most comprehensive picture available of how AI is being adopted, where it is delivering measurable value, and what separates the organisations extracting genuine competitive advantage from AI from those that have invested heavily but seen limited return. This is the summary report; the full data set is available on request.
The 2025 AI Adoption Landscape
AI adoption has reached an inflection point. In our 2023 research, 34% of business leaders described themselves as "early adopters" of AI. In 2025, that figure has risen to 61% — with the remaining 39% split between those who have begun piloting AI (28%) and those who have not yet started (11%). The organisations that began AI investment early are now measurably ahead on both adoption depth and commercial return — confirming the first-mover advantage that the research has consistently predicted.
Where AI Is Delivering the Highest ROI
| AI Use Case | % of Respondents Reporting High ROI | Average ROI Multiple |
|---|---|---|
| Marketing personalisation and optimisation | 71% | 6.2x |
| Customer service AI (chatbots and agents) | 68% | 5.8x |
| Predictive analytics (sales and retention) | 65% | 7.1x |
| Workflow automation with AI | 62% | 5.4x |
| AI-assisted content creation | 58% | 4.9x |
| Agentic AI (autonomous task execution) | 41% | 8.3x |
The Five Factors That Separate AI Leaders from Laggards
Our research identified five characteristics that consistently differentiate organisations achieving the highest AI ROI from those reporting limited or no return. First, data foundation investment: AI leaders invested in data quality, integration, and governance before AI deployment — not concurrently or after. Second, executive sponsorship: every high-ROI AI programme in our research had active C-suite sponsorship with dedicated leadership time, not just budget. Third, clear business outcome ownership: AI leaders owned AI outcomes in business terms (revenue, cost, NPS), not technology terms (model accuracy, feature deployment). Fourth, change management investment: AI leaders allocated 15–25% of programme budget to change management; laggards allocated less than 5%. Fifth, phased deployment with learning loops: AI leaders deployed iteratively with monthly performance reviews and rapid iteration; laggards executed large, infrequent deployments without structured learning.
2026 AI Investment Priorities
Survey respondents indicated their top AI investment priorities for the next 12 months: 78% plan to expand or initiate agentic AI programmes; 71% plan to invest in first-party data infrastructure to improve AI model quality; 68% plan to expand AI marketing capabilities; and 62% plan to build multi-agent AI systems for complex operational workflows. The AI investment cycle is accelerating, not plateauing — organisations that have begun are investing more; organisations that have not begun are increasingly anxious about the competitive gap they are falling behind.