# Why Every New Creative Medium Is Initially Labeled As Cheating AI tools act as a catalyst for beginners to overcome creative gatekeeping barriers. - **Source:** [UX Collective - Medium](https://brifing.si/source/5c6bdc88-e150-4203-af43-069801e37dd9) - **Published:** 2026-11-10 - **Topic:** [careers](https://brifing.si/c/careers) - **Original article:** - **On Brifing:** https://brifing.si/s/a6af1b4d-eb67-4d30-b623-b231d9cc1ef5 ## The Skeptic's Initial Stance The author initially viewed AI as a threat to authentic artistic creation, echoing concerns that machines remove the human choices essential to art. By labeling AI a vending machine with ambitions, the writer mirrored common industry skepticism, fearing that automated tools would diminish the value of professional writing and creative craft. ## Overcoming the Creative Bouncer Every creative medium possesses a metaphorical bouncer, a psychological barrier that discourages beginners from entering fields like ceramics or coding. These barriers are often self-imposed, fueled by imposter syndrome and the fear of appearing incompetent. AI helps dismantle this by allowing users to ask basic, repetitive questions without social judgment. ## AI as a Beginner's Catalyst Research from Stanford and MIT involving 5,000 customer support agents demonstrated that AI tools significantly boosted the productivity of newcomers by 34%. While veteran performance remained largely unchanged, the technology effectively transferred institutional knowledge to novices. This suggests AI is a powerful equalizer that accelerates the initial learning curve for beginners. ## Historical Patterns of Panic Technological anxiety is cyclical, with historical figures like Plato criticizing writing and Johannes Trithemius condemning the printing press as a source of laziness. Similarly, 19th-century critics dismissed photography as a refuge for untalented painters. These historical precedents show that new mediums are consistently labeled as cheating by established practitioners. ## Tools Expand Creative Horizons Innovation often relies on lowering barriers to entry, such as the 1841 invention of collapsible paint tubes. This simple tool allowed painters to work outdoors, directly enabling the Impressionist movement. Easier access to a medium does not degrade quality; instead, it invites more people to explore and innovate in previously inaccessible ways. ## Craft as Material Resistance Sociologist Richard Sennett defines craft as a conversation with material, where resistance forces the creator to refine their work. AI provides a unique form of resistance by interpreting prompts literally, often highlighting a user's lack of clarity. This friction forces creators to improve their communication and understand the nuances of their ideas. ## The Fluidity of AI Mediums AI functions as a fluid medium, taking the shape of the container provided by the user. While this can lead to standardized outputs, the ultimate creative value depends on the individual's unique taste and perspective. The tool serves as a vessel, but the human remains the essential source of original intent. ## Beyond the Chat Window The confidence gained from using AI to navigate new subjects extends beyond digital tasks into everyday life. By embracing the process of asking simple questions and creating imperfect initial drafts, the author found the courage to pursue interests previously deemed too intimidating. This mindset shift is the most significant benefit of the technology. ## Embracing the Beginner Mindset The ultimate lesson is to intentionally remain a beginner, regardless of professional status. By tackling mediums with intimidating barriers and using AI to facilitate the learning process, creators can overcome their own gatekeeping. The goal is to produce work with actual hands, using the tool to sustain long-term creative courage. ## Sources covering this story - https://uxdesign.cc/every-new-medium-gets-called-cheating-b990d7d53c0e?source=rss----138adf9c44c---4 — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._