In Part 1: AI in Business 2026: Understanding the GenAI Divide guide, we discussed the widening gap between companies that are investing money in AI and those that are attaining business value. Although the use of AI is common, few organizations realize a tangible ROI, and pilots and experiments commonly fail because of inconsistent leadership, governance, and readiness to operate.
Part 2 deals with bridging the gap in leadership and performance. The success of AI in 2026 relies on the extent to which executives align initiatives with the business KPIs, embed governance and ethics, and promote cross-functional adoption. Organizations that view AI as a strategic ability, not a set of individual tools, perform better than their counterparts in increasing revenues, efficiency, and productivity. KPMG data show that only 24% of organizations manage to scale AI successfully in various applications, which requires leadership fluency and enterprise-wide implementation.
AI-ready enterprises are more focused on high-impact projects, executive-owned projects, the ability to measure the tangible outcomes of business, and repeatable models of scaling. Upskilling and cross-teamwork in the workforce also increase the outcomes, transforming pilots into organizational change across the board.
AI leadership certification programs like USAII® CAITL™ equip executives with the skills to lead AI transformation effectively, bridging leadership gaps and driving measurable impact.
Download the guide to turn AI initiatives into impact and cross the GenAI Divide.
