As I move through my job search these past few months, I’ve found myself trying a lot of new things—networking, learning, and building small side projects to explore new technologies. Getting to know the local community through WAI (Women in AI) was especially energizing and gave me my first real push into the AI space. One surprising discovery: there are so many PMs in Halifax! It also made me wonder how far we could bring AI strategies into local companies—if they’re open to it.
Networking events
Few things that I realized were that people from various non-tech industries were also interested in how AI would affect them. My meetups at WAI helped me understand this. You may be a staunch critic of AI but as they say knowledge is empowering!
How Does AI Help Me in My PM Role?
I’ve always been a customer-focused product manager. Most of what we do is manual: research, writing, alignment, planning. AI doesn’t replace any of that—but it makes you faster and more efficient.
While working on a small side project for a hospital website, here’s how AI helped:
- Product Discovery
AI helped speed up early market research, competitive analysis, and brainstorming. It’s like having a research assistant who works instantly.
- Writing the PRD
Summarizing product requirements, defining goals and non-goals, outlining sprint scope—AI can turn rough ideas into structured documents quickly. It is very important to note that you don’t give out private information about your product.
- A/B Testing & Early Feedback
Generating mockups or images in minutes helped me see what might resonate with users long before writing any code. What used to take days can now be validated in hours.
- User Stories & Epics
AI is great at refining the language, improving clarity, and adding structure to user stories or epics. It’s not about outsourcing thinking—it’s about speeding up the polish.
My Early Inference of AI Agents
I haven’t tried fully agentic AI yet, but based on my experience with ChatGPT and Gemini, here’s what I’ve learned:
They don’t replace humans, but they remove repetitive, mechanical tasks.
They don’t have persistent memory, but they handle one task extremely well at a time.
Don’t get intimidated by buzzwords like prompt engineering.
At the core, an AI and non-AI product PRD share the same fundamentals—you still need a real customer problem and a measurable goal.
The difference with AI is in how you solve problems. Need to show stakeholders a mockup before committing dev time? AI does that instantly. Need quick competitive insights? Done. Need a polished PRD or user story? Minutes, not hours.
Tasks that used to take days can now be reduced to minutes or hours.
Final Thoughts
AI isn’t perfect—but that’s not the point. It’s about using the right tool for the right job. As long as you’re clear about the problem you’re solving and the goal you want to achieve, AI can make you faster, more creative, and significantly more efficient.
P.S. - This article was written by me BUT the language finesse was using CHatGPT!