The product management profession is rapidly bifurcating into two distinct career trajectories by 2025, driven primarily by the pervasive integration of artificial intelligence. According to a recent observation by Aakash Gupta, a prominent product and growth leader, product managers will either leverage AI for enhanced career growth or risk being left behind. This significant shift underscores the growing imperative for PMs to adapt to AI-driven methodologies.
Gupta articulated this divergence on social media, stating, > "There are only two types of product managers in 2025: 1. Those using AI to get better bonuses, faster promotions, and high-impact roles 2. And those stuck doing things the old way." This perspective highlights a future where AI proficiency directly correlates with professional advancement and increased compensation within the product management domain.
The mindset of top AI-savvy product managers involves a blend of technical understanding, data-driven strategic thinking, and ethical considerations for AI implementation. While the transition might seem daunting, experts suggest that breaking into AI product management is more accessible than commonly perceived. The role of AI is evolving from a supplementary tool to a core driver of product strategy and execution, requiring PMs to understand how to harness AI for deeper insights and automated tasks.
A key figure in facilitating this transition is Ankyth Shukla, who has reportedly assisted hundreds of individuals in securing AI product management positions. Shukla's efforts, often highlighted in discussions with Gupta, focus on equipping aspiring and current PMs with the necessary skills and knowledge to navigate the AI-centric product landscape. This support system reinforces the idea that now presents an opportune moment for product managers to pivot towards AI specialization.
As AI becomes integral to product development, product managers who embrace this technology are poised to lead innovation, streamline processes, and make more informed decisions. The industry is witnessing a demand for specialists with AI expertise, moving away from generalist roles. This trend underscores a critical period for product managers to invest in AI skills to remain competitive and unlock new avenues for career development.