Adoption data confirms this transition.
Adoption of AI and machine learning has now reached 76% across the Region, up from 61% in 2025, one of the most material shifts observed in the survey. What was previously exploratory is now embedded across a wide range of business functions — from marketing and operations to HR and decision-making — reshaping what “digital maturity” means in practice and making AI part of day-to-day execution.
Beyond adoption, investment patterns reinforce this shift. The share of businesses not investing in AI has declined, while a growing segment is committing more substantial funding, signaling a move beyond experimentation toward more structured, enterprise-level deployment.
However, value realization remains uneven. While the majority report improvements in efficiency (60%) and cost optimization (51%), significantly fewer see revenue impact (38%), highlighting a persistent gap between adoption and commercial outcomes.
At the same time, expectations are maturing. Compared with 2025, fewer entrepreneurs now anticipate broad, transformative gains. Instead, the focus has shifted toward targeted, use-case-driven outcomes, placing greater emphasis on execution, governance, and integration.
As a result, the competitive advantage no longer lies in adopting AI, but in deploying it effectively.