AI Requirement Definition Summit 2026 explores future of system design

The AI Requirement Definition Summit 2026, held in Tokyo, brought together approximately 1,400 industry professionals to discuss the evolution of system design and development processes in the age of artificial intelligence. Key sessions focused on how AI-driven development necessitates a fundamental restructuring of traditional workflows.

Industry leaders from organizations such as Osaka Gas, JR Central, DeNA, NTT Data, and Hitachi shared practical insights. Discussions highlighted that while AI significantly accelerates individual coding tasks, it can create bottlenecks in release speeds if development structures remain unchanged. Experts emphasized the need to move from manual, artisan-like requirement definitions to standardized, machine-readable engineering processes.

Key themes included the transition to AI-native workflows, the importance of structuring domain knowledge to be ‘AI-ready,’ and the use of AI to bridge the gap between business requirements and technical implementation. The summit also addressed public sector challenges, with the Cabinet Office discussing how AI-driven development could break long-standing cycles of dependency on vendors caused by insufficient IT expertise within government procurement.