A new study by Clari Labs, the data and AI research division of Clari + Salesloft, reveals that 87% of enterprises failed to meet their 2025 revenue targets despite record spending on AI. The findings highlight a widening gap between AI investment and the underlying data infrastructure needed to drive real business outcomes. The research, based on a survey of 400 CIOs, CROs, and RevOps leaders at North American enterprises with 1,000 or more employees, shows that nearly half of organizations (48%) report their revenue data is not ready for AI. Additionally, 42% lack formal governance frameworks to ensure data accuracy and control. This lack of readiness undermines AI’s potential, as companies increasingly rely on data-driven decisions that may be based on incomplete or inconsistent information. As AI capabilities advance rapidly, the supporting data systems have not kept pace. This mismatch is placing growing pressure on CIOs, who are now emerging as key strategic partners in driving revenue growth. According to Steve Cox, CEO of Clari + Salesloft, “AI doesn’t just need data; it needs context. The companies that will lead in the next decade are those that replace fragmented signals with a unified revenue truth — where every forecast, deal, and action is built on trusted, governed data aligned across the CIO, CRO, and RevOps.” The report emphasizes that true revenue predictability requires a disciplined operating model. This includes standardizing data, governing AI models, and aligning execution across sales, operations, and technology. When these foundations are in place, AI can act as a force multiplier, enhancing productivity and growth. Forrester’s Total Economic Impact™ study supports this view, showing that enterprises with unified, governed revenue data achieved up to 96% forecast accuracy, saw renewal rates improve by 20 percentage points, and unlocked millions in expansion and retention value. These organizations realized a 398% ROI and $96.2 million in benefits over three years. The research underscores a critical shift: from AI experimentation to measurable revenue impact. Companies investing in data discipline today are better positioned to empower sales teams, managers, and executives with the confidence and precision needed to turn AI ambition into predictable, sustainable growth. Clari + Salesloft, formed by the merger of Clari and Salesloft, is building a Predictive Revenue System that combines the broadest dataset — capturing both structured and unstructured signals — with full revenue orchestration. The platform is used by leading global companies such as Adobe, IBM, 3M, Zoom, and Shopify to drive reliable revenue outcomes. The survey was conducted by Censuswide from September 19 to October 7, 2025, among a representative sample of senior leaders in enterprise organizations across North America. Censuswide adheres to the MRS code of conduct and ESOMAR principles.