5 articles in this category.
As power constraints, hardware depreciation risk, and talent bottlenecks sharpen in 2026, software teams need a resilience-first operating model that outlives temporary infrastructure booms.
A practical playbook for building reliable AI agents in ports, logistics, and compliance-heavy environments where failure is expensive and chat UX is irrelevant.
What Duolingo's last two years reveal about AI-first strategy: massive upside in speed and scale, but real downside when execution looks like replacement instead of augmentation.
2026 looks less like another pilot year and more like an execution year for maritime AI. The shift is not about bigger models. It is about measurable ROI from digital twins, unified monitoring, edge retrofits, and agentic operations.
Physical AI is back because the value is tangible. A practical guide to connecting LLM and agent stacks with sensing and actuation, including failure modes, safety economics, and rollout patterns.