GenAI, such as ChatGPT, has become immensely popular because the learning models respond to user prompts in a conversational way generating text, images, videos, and so on. That is, GenAI uses machine learning models (LLMs) to learn patterns from existing data, both structured and unstructured, to generate new and innovative content. But innovation needs a critical approach (1), not least in the digital age when transformative or impactful innovation is facilitated if not driven by AI. And so, designers need critical thinking skills in the process of problem finding and problem solving (2). But while GenAI is capable of creating new content, can it replace human critical thought and reflection? An online sample study of some 600 participants in the UK, showed that with people employing GenAI tools as substitutes, and not supplements to routine tasks, there is a 'significant negative correlation between the frequent use of AI tools and critical thinking abilities'. Similarly, a US university survey of 1,000 faculty found that GenAI diminishes students’ critical thinking skills and increase over-reliance on AI tools (3). Psychologists call it cognitive offloading when GenAI, offers users "good enough" outcomes that can be attained with minimal effort (4). But such outcome-oriented thinking that focuses on results rather than process may overlook or underestimate human judgment, user education level, design knowledge and experience. (1) The term critical comes from the Greek word kritikos meaning “able to judge or discern”. (2) https://www.open.edu/openlearn/money-business/making-creativity-and-innovation-happen/content-section-5.2 (3) https://www.universityworldnews.com/post.php?story=20260128145305278 (4) https://www.psychologytoday.com/gb/blog/the-art-of-critical-thinking/202512/is-generative-ai-rewiring-our-brains-heres-how-it-happens
