Closing panel: The future of platform engineering and what to build next

Platform engineering is undergoing a fundamental shift as organizations grapple with "agentic chaos" and the integration of autonomous AI agents. Building sustainable platforms requires a return to foundational principles, emphasizing robust governance, policy-as-code, and digital sovereignty to survive potential model withdrawal events. As AI usage expands beyond technical teams to departments like HR and marketing, platform engineers must develop new abstractions and guardrails that ensure security and cost-efficiency without stifling innovation. Rather than blindly adopting every new AI tool, teams should prioritize deterministic infrastructure, implement strict resource limits, and maintain architectural flexibility. Ultimately, the future of platform engineering lies in creating controlled, scalable environments where human oversight remains central, ensuring that AI-driven workflows are both secure and economically viable in the long term.