A recent report from FPT and Forrester Consulting reveals a challenging reality behind the global artificial intelligence (AI) adoption trend. Although investment in this sector has surged sharply, only a quarter of total businesses surveyed across various regions, including Asia-Pacific and North America, are considered ready to fully deploy AI at an organizational level.
Data shows that the main drivers of AI adoption currently remain focused on operational efficiency and automation, with 48% of companies utilizing it to boost productivity. However, an interesting finding shows that AI is often used merely to optimize existing processes, rather than comprehensively redesigning business operating models. Only 34% of companies are seriously transitioning toward fully AI-driven business models.
The biggest hurdle for companies today has shifted from the limitations of AI models themselves to the challenge of internal platform integration. Around 41% of business leaders state that difficulties in unifying AI with existing systems and processes represent a crucial obstacle. Furthermore, data governance issues and infrastructure readiness often hinder operational scaling, even as IT budgets for AI continue to increase significantly.
On the other hand, the need for capable strategic partners is becoming increasingly urgent. Companies are no longer just looking for a single technology provider, but rather a partner who can accompany the entire AI lifecycle—from consulting and integration to sustainable operational management. Collaboration models such as co-creation and managed operational services have become top choices to minimize risks.
Future competitive advantage is predicted to belong to organizations capable of systematically building reusable AI platforms. The success of this transformation relies heavily on synchronization between technology infrastructure, security, data governance, and integrated operating models, backed by competent long-term partners.
