BCG: CEOs See AI Benefits, But Struggle With Scaling
Nearly nine in ten CEOs report their companies are seeing cost or revenue benefits from AI in targeted areas, but most organizations are struggling to scale its financial impact, according to new Boston Consulting Group (BCG) research.

Nearly nine in ten CEOs say their companies are experiencing cost or revenue benefits from artificial intelligence (AI) in targeted areas. However, the majority of organizations are facing challenges in scaling AI's financial impact, according to a new report by Boston Consulting Group (BCG) released in July 2026. The research, based on a global survey of over 150 CEOs from large companies, indicates that the primary obstacle is not technology itself, but rather execution and organizational transformation capabilities.
The study highlights a significant gap between understanding AI's potential and successfully implementing it at scale. More than half of CEOs cited the need to link AI initiatives directly to profit and loss (P&L) statements as a key barrier, yet only 14% have clearly defined the P&L impact for all their AI initiatives. Other identified challenges include weak value tracking and insufficient funding for personnel and change management. While many companies pursue AI pilots, few successfully embed AI as part of a broader business transformation.
BCG's research outlines four key actions that differentiate companies successfully scaling AI from those still in pilot phases. First, CEOs must orchestrate the transformation while ensuring accountability cascades to business unit leaders. Second, AI efforts should be concentrated on a few high-value areas with the potential to fundamentally change the business. Third, AI projects must be structured for measurable value tracking from the outset, with clear P&L impact definitions. Finally, prioritizing people and change management is crucial, with top performers more likely to assign their best talent to AI workstreams.
BCG concludes that the conversation around AI has entered a more consequential phase. The focus is shifting from demonstrating AI's value to the ability of companies to transform their organizations with the speed and rigor required to scale these gains enterprise-wide. This necessitates moving beyond mere technology deployment to reinventing core business operations, including governance, workflows, accountability, and value measurement.