As artificial intelligence continues to reduce the cost and time required to build software, you might expect product managers to become less essential. After all, if engineers can do more with fewer resources, what need do companies have for additional strategic oversight?
The opposite is happening. As development costs plummet and engineering productivity soars, the role of the product manager is undergoing a renaissance—not because PMs are doing more, but because what they do is becoming more valuable. In an era where execution is increasingly automated, strategy and vision are what separate winning products from forgotten experiments.
The numbers tell the story. Amazon achieved a 15.9% reduction in software delivery costs using AI-assisted development, while open-source frameworks and AI models can trim initial development budgets by 30-50%. Top-performing companies report 16-30% productivity improvements. Engineers are becoming faster, cheaper, and more capable. Yet at the same time, LinkedIn shows 30% year-over-year growth in AI-related product management roles globally. Gartner predicts that by 2027, over half of all PM positions will involve AI products. This isn't coincidence. It's a fundamental shift in what matters most.
For decades, software development operated under a simple constraint: engineering was the bottleneck. If you wanted to ship faster, you hired more engineers. If you wanted to ship better, you gave engineers more time. Product managers existed primarily to keep engineers focused and unblocked. But when engineers become 20-30% more productive through AI assistance, and when a single engineer can accomplish what previously required a team, the dynamics change entirely. Execution is no longer scarce. Vision is. Clarity is. Knowing what to build matters more than knowing how fast you can build it.
This is where product managers move from operational coordinators to strategic architects. PMs must now understand AI capabilities deeply enough to guide engineering toward solutions that leverage these new tools. They must translate business problems into AI opportunities. They must make the calls about where to invest in AI, where human judgment remains essential, and how to navigate a world where technical possibility far outpaces customer need. A PM who understands AI becomes a translator between what machines can do and what humans actually want—an increasingly rare and valuable role.
The ratio of product managers to engineers—traditionally held at 1:6 or 1:10—may well shift in the coming years, not because companies need fewer engineers, but because they need more strategic direction. As the cost of building goes down, the cost of building the wrong thing goes up proportionally. Wasted engineering capacity is expensive. Misdirected engineering is wasteful. In this environment, having fewer PMs per engineer isn't a cost savings; it's a risk.
The best companies in 2025 and beyond will be those that treat their product management function as a strategic asset rather than an operational necessity, and that invest in PMs who understand not just business and users, but technology and AI.
