John Maeda on Creativity, AI, and the Human Pursuit of Uphill Thinking | Figma Blog (opens in new tab)
John Maeda argues that AI will transform creative work without eliminating the need for human creativity. While AI excels at efficiency, repetition, and finding the shortest path to an answer, meaningful creative breakthroughs often require experimentation, difficulty, and unconventional thinking. Designers should use AI to remove tedious work while deliberately preserving the human ability to pursue “uphill” paths. ## AI’s Promise and Threat to Creative Work - AI offers creatives greater efficiency and new capabilities, but may also produce large volumes of repetitive, cookie-cutter design. - Designers are learning to “speak machine” by collaborating with AI, training language models, and refining outputs to match their creative intentions. - Any technique developed with AI can potentially be replicated without its original creator, raising concerns about creative ownership and job security. ## Creativity Through Openness and Code - Maeda compares today’s AI concerns with his own experience in the 1990s, when he created distinctive algorithmic artwork. - Rather than keeping his methods secret, he open-sourced them at MIT so others could build their own creative work. - His involvement with MIT Scratch and Processing reflects his belief that programming can be a creative practice accessible to children, artists, and designers. ## Letting Computers Handle the Mundane - Computers are well suited to repetitive tasks such as: - Producing endless slide variations - Generating mockups - Performing image retouching - Automating this work could give designers more time to address emerging problems and develop more original ideas. - Maeda cites artist Jessie Shefrin’s observation that “by the time you come to the perfect solution, the problem has already changed,” emphasizing the need to keep moving rather than over-optimize a fixed answer. ## The Limits of Efficiency - AI is designed to find the shortest and most efficient route through a problem. - It can evaluate thousands or millions of possible paths rapidly and select the most efficient option. - Efficiency does not necessarily produce the most creative, meaningful, or impactful result. - The article presents “uphill thinking”—choosing difficult, indirect, or exploratory paths—as an important human strength in an increasingly automated world. Designers should embrace AI as a tool for reducing tedious labor, while continuing to protect the slower, less efficient processes that generate originality, insight, and meaningful creative work.