FPT Study Reveals Gaps in Enterprise AI Scaling Despite Budget Surge
Event summary
- FPT released a global study on July 8, 2026, highlighting the shift from AI pilots to platform-driven transformation.
- Survey of 397 business/tech decision-makers found only 26% consider themselves advanced in operationalizing AI.
- 41% cite integration complexity and 38% point to data silos as major barriers to scaling enterprise AI.
- FPT launched FPT CASAN, a five-level AI transformation methodology to help enterprises scale AI deployment.
The big picture
While 51% of organizations allocate significant IT budgets to AI, only a quarter have advanced operational capabilities. This gap highlights the structural challenges in moving from pilot projects to enterprise-wide transformation. FPT's study underscores how integration complexity and data silos remain critical barriers, particularly in operations-intensive industries.
What we're watching
- Platform Adoption
- How quickly enterprises will transition from isolated AI deployments to full lifecycle platforms.
- Regional Differences
- Whether North American and EMEA demand for full lifecycle capabilities will outpace APAC/Japan's focus on strategic support.
- Measurement Standards
- The pace at which enterprises develop standardized metrics to evaluate AI impact across use cases.