Creatives have always thrived by understanding the capabilities and limitations of their tools—how each one shapes the process, the outcome, and the message they convey. As generative AI becomes a more prominent part of the creative toolkit, it's essential to approach it with the same critical awareness. These systems are trained on vast datasets that reflect existing patterns, norms, and biases. As a result, there is a tendency toward averaging, favoring the familiar or statistically common, which can potentially dilute originality or reinforce stereotypes. For creatives, this means not only leveraging AI for inspiration and efficiency but also actively pushing against its boundaries, questioning its outputs, and using it as a springboard for more intentional, authentic expression.
