Exploring Creativity with AI

I didn’t jump into creative work with AI right away. Like many others, I was cautious—more out of fear than doubt. At the time, I was reading criticism about how generative AI might be undermining the rights of writers and artists, pulling from datasets without consent. As someone who values originality and authorship, I wasn’t comfortable with the idea of using AI for personal essays or narratives.

Even when I began using it for professional writing—reports, summaries, or concept notes—I still started from scratch on anything reflective or intimate. The idea of feeding emotionally rooted ideas into a machine felt uncomfortable, maybe even wrong. I was wary of blurring the line between inspiration and imitation.

That boundary began to shift when I signed up for a paid plan that promised not to use user data for further training. It gave me enough assurance to start small. I wasn’t using AI to write for me—I was using it to help me think. I’d toss in early ideas or vague themes, and it would respond with possibilities. Some were predictable, but others helped me look at the topic differently. It became a space for early exploration.

Before AI, outlining a personal piece could take days—reading, note-taking, letting ideas settle before I even knew where to begin. Now, with a clear prompt or question, I could get unstuck within a single session. It didn’t replace my process; it accelerated it.

These days, I continue using AI in my professional writing. Beyond reports and summaries, I now use it for drafting grant proposals, refining impact stories, and structuring concept notes. It’s not perfect, but it’s a reliable tool that saves time—time I now spend on deeper reflection and more meaningful tasks.

That increase in efficiency has also allowed me to take on more projects I might’ve turned down before. I no longer feel like I’m constantly racing deadlines. Instead, I have more control over my creative flow—and that, in itself, has made the work more fulfilling.

Still, creatives have to be cautious. These tools are powerful, but they’re not neutral. It’s important to understand how they work, where their limits lie, and what risks they carry. AI can support the process, but it can’t replace what makes the work yours. At the end of the day, you still have to own your craft.