In this episode, we step back and reflect on what really happened in the agentic AI space in 2025.

The year was defined by rapid model releases, evolving frameworks, and a growing ecosystem of tools promising intelligent, autonomous systems. But beneath the momentum, organisations encountered a deeper challenge: building agentic systems on foundations that were still shifting.

This episode explores how continuous model upgrades affected agent behaviour, why tooling emerged to stabilise execution rather than boost intelligence, and how coordination, interoperability, and structure became unavoidable concerns. From agent-to-agent communication and Google Antigravity to Model Context Protocol and the formation of the Agentic AI Foundation under the Linux Foundation, 2025 marked a shift toward standardisation and consolidation.

Most importantly, the episode reinforces a central theme of this podcast: agentic AI systems are tools, not the work itself. Building production-grade agentic AI requires engineering discipline, behavioural testing, lifecycle thinking, and the ability to design for constant change.

As we move into 2026, the key question is no longer which agent framework to adopt, but where organisations should focus when everything is still evolving. That is the question we take up in the next episode.