How can PMs plan on staying relevant as AI changes how tech companies operate?
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Cost of RPA products25%
Lack of developers who can code RPA applications43%
Amount of customization needed to automate business processes27%
Lack of RPA code maintenance resources4%
What’s the biggest hype vs. reality gap in AI pentesting today?
Coverage—AI claims full scan, but misses deep flaws48%
Speed—AI is fast but error-prone64%
Creativity—AI scripts can’t improvise10%
Integration—vendor tools don’t plug into DevSecOps26%
As a PM leader, staying relevant in the AI-driven tech landscape means continuously adapting and learning. My team and I focus on understanding the latest AI trends and their implications for product development. Networking with AI experts and attending relevant workshops or webinars keeps me informed. I also experiment with AI tools in my projects, which helps me grasp their practical applications and limitations. Importantly, I balance AI knowledge with strong foundational PM skills like customer empathy and strategic thinking, ensuring I can integrate AI effectively into user-centric solutions.