THE STATE OF AI
Convergence is the simplest way to describe what is happening.
Instead of asking teams to adopt entirely new systems, AI capabilities are increasingly being embedded into the tools people already use to design, refine, and collaborate.
When AI sits inside an established workflow, teams can generate and refine without breaking their file structure, their collaboration pattern, or their versioning practices. It also makes training and adoption more realistic, because people are building on familiar behaviours rather than learning everything from scratch.
Image generation inside core creative tools is a good example. The practical value is not just ‘generate an image’. It is the ability to generate elements into existing compositions, refine artefacts through familiar editing controls, and maintain continuity from generation through to export. In collaborative design environments, similar principles apply: AI assisted creation is useful when outputs remain editable and when teams can keep their normal review, iteration, and version control practices intact.