According to a Gartner survey, only 22% of organizations have successfully scaled AI across multiple business units or adopted an AI-first approach. Meanwhile, 85% of surveyed executives plan to increase their AI spending in 2026, with average budgets reaching 12% of total funds in 2025. The study highlights a gap between investment and widespread implementation, as many organizations lack transparency over AI expenditures. About 11% of companies do not know how much they spent on AI within specific departments like IT or finance. Gartner warns that unclear cost tracking could lead to increased spending without measurable returns. Productivity remains the top goal for most AI projects, but scaling these initiatives across departments requires significant coordination. Successful organizations continuously measure ROI and adjust resources accordingly, while others struggle to evaluate outcomes.
Bias read (Center): The article presents data-driven findings from a Gartner survey without overtly favoring any particular political ideology. It focuses on corporate strategy and economic trends rather than partisan viewpoints. While AI adoption is a politically relevant issue, the tone and framing remain neutral, as




