A comprehensive study released by Forrester Consulting and FPT titled "From Pilots to Reusable Platforms" reveals the dynamics of artificial intelligence (AI) adoption at a global level. The research highlights a phase shift from experimental projects to large-scale AI deployment across various industrial sectors, including finance, manufacturing, and healthcare in North America, Europe, and Asia-Pacific.
The findings show that the primary motivation for companies to invest in AI technology is the effort to increase operational efficiency through automation (48%) and strengthening data analysis capabilities for decision-making (45%). Nonetheless, the majority of businesses today remain stuck on optimizing existing processes, while only 34% have begun redesigning their business models to be truly AI-driven.
Technical challenges represent the main bottleneck in this transformation process. As many as 41% of business leaders state that integrating AI with legacy systems or old infrastructure is the most significant obstacle. In addition, 38% of other companies struggle with scaling pilot projects into integrated operational platforms across all organizational lines.
The data also notes a gap between ambition and reality. Although more than half of the companies have allocated at least 5% of their IT budgets to AI, only 26% state they have achieved an ideal level of operational maturity. On the other hand, the role of AI agents is predicted to increase drastically, with projections to handle up to 39% of core business processes within the next two years.
FPT Deputy General Director, Pham Minh Tuan, emphasized that the real challenge for corporations today is the capability to establish strategic connections and manage complex operations. Consequently, companies are now becoming increasingly selective in choosing technology partners, prioritizing service providers capable of supporting the entire AI lifecycle, from strategic consulting and system integration to governance and data security aspects.
