Adams says understanding what a user actually means, not just what they type, is a major problem in creative AI. Canva is tackling this by training its model not just on language, but also on the sequence of actions that lead to a finished design.
From scavenger hunts to cleaning up docs and slides, Adams says he’s using Canva AI to handle both personal and professional creative tasks, along with the small fixes around them, with the AI sometimes catching issues well before he notices.
Adams pointed out that Canva is taking a comprehensive approach to ensuring the accuracy of its AI, including testing it on structured and broken real-world designs, but the model still falters in some areas, like when dealing with complex rules.
Adams argues the real story isn’t teams getting smaller, it’s that every team in a company suddenly gains design capability they never had before. The roles that matter most shift toward creative strategy and brand stewardship.
Deciding not to do something. Knowing which idea to go with and which to leave on the table is a purely human insight. AI can give you options, but it will never have the gut feeling to tell you that none of them are as good as the one idea you have.
