TL;DRKPMG finds 95% of organizations have an AI strategy but only 8% report established ROI. Profitalize CEO Jon Weberg argues the gap exists because companies buy AI as standalone tools rather than integrating it into connected operational infrastructure. His AI Synthesis framework treats AI as a unified system where insights flow across departments, creating continuous feedback loops between marketing, sales, customer success, and operations.
Artificial intelligence has quickly become a boardroom priority, inspiring significant investment across industries. Yet conversations about return on investment often remain tied to familiar software purchasing habits, where success is judged by logins, subscriptions, or the performance of an individual application. That perspective may overlook the broader operational influence AI can have across an organization. As companies continue expanding their AI investments, many leaders are beginning to ask a different question: Are they measuring the value of AI through the right lens?
Recent research suggests that this conversation is becoming increasingly important. According to KPMG’s Global AI Pulse Q1 2026 report, 95% of surveyed organizations have established an AI strategy, while only 8% report achieving established ROI. Although many organizations already report meaningful business value, the findings illustrate a noticeable gap between widespread adoption and consistently realized enterprise-wide outcomes.
