Odin Training

Assessment is the most under-discussed part of the AI conversation in learning and development. Most coverage focuses on content creation: instructional designers using AI to draft modules faster, scripts for video, slide decks pulled together in minutes. The harder question is whether AI is improving how we measure learning, or quietly making our assessments less defensible. By 2026, both are happening at once. This post breaks down where AI is genuinely strengthening assessment practice...

The conversation around AI in training has largely centered on tools: which one generates slides faster, which writes better scripts, which summarizes source documents with fewer hallucinations. That conversation is not wrong, but it is already becoming outdated. The next phase is agentic AI, and it operates differently. Instead of waiting for a prompt and returning a result, agentic AI systems plan, act, and iterate across multi-step tasks with minimal human input. For training developers,...

Most training developers are familiar with AI as a prompt-and-response tool: you ask, it generates, you edit. That model is not going away, but it is no longer the only one worth knowing. AI agents represent the next step, and in 2026 they are moving from early experimentation into production workflows across L&D teams. According to Google Cloud's AI Agent Trends 2026 report, 65 percent of organizations are now actively experimenting with AI agents, and 84 percent of enterprises plan to...