I've embraced AI as a tool to accelerate my workflow and let technology handle more of the busywork, freeing me up for the work I enjoy most: deep problem-solving and strategic thinking. This translates into greater business impact.

As a growth designer, my skillset has always been weighted toward product strategy, data analysis, and capitalizing on points of leverage — rather than pure IxD or visual design execution. AI amplifies these strengths, shifting designers away from execution and toward curation.

Here's what that looks like in practice: I use AI to augment tasks like ideation, research synthesis, copy variations, and accessibility checks. But I still handle the strategic decisions, user empathy, and quality curation manually. For growth design specifically, AI enables me to experiment faster by generating hypotheses and variants more quickly. But the real leverage comes from my understanding of product strategy, business context, and user insights — the skills that help me identify which problems are worth solving in the first place.

I completed Designlab's AI for UX Design course to build a foundation in prompt engineering and AI capabilities. At ev.energy, I conducted a series of AI workshops for the Design team to begin integrating AI into the team’s workflow.

I'm continuously learning and experimenting with AI tools to understand how they can best serve my workflow. Here's what I've explored so far: