Microsoft Word used to be the dominant software in the world. Sending a Word document was just part of doing business. It beat out WordPerfect because it adapted to Windows, but that victory came with a cost. Over time, Word became bloated with features, many of which were rarely used. It’s a classic case of adding more tools just because you can, leading to confusion and complexity for users.

The Evolution of Product Management Challenges

For software product managers, deciding what features to add next has always been a tough job. They typically build a backlog of potential features, carefully vetting each one for usefulness and market fit. This process allows time for thorough evaluation, ensuring only valuable features make it into the final product. The backlog acts as a buffer, helping managers prioritize and avoid unnecessary clutter.

But that might change soon. Thanks to advances in AI, particularly agentic AI that can code autonomously, the process of developing new features could accelerate dramatically. Features that once took weeks or months to design, test, and deploy could now be created and released in a single day. This rapid pace presents a new challenge: how do product managers decide what’s worth building when the speed of development is so fast?

New Risks with AI-Powered Development

With AI making coding faster and easier, developers might bypass traditional review processes. They could add features quickly without considering their value, safety, or legal issues. Normally, these processes help prevent problems like security vulnerabilities or market misalignment. Skipping them could lead to bloated, unstable, or insecure products.

This new environment puts pressure on product managers to make rapid decisions. Instead of carefully weighing each feature, they may need to decide almost instantly whether a feature is worth pursuing. The temptation to keep adding features to stay competitive could lead to feature creep, making products overly complicated and harder to use.

While AI can speed up development, it also raises the risk of losing control over product quality and usability. Good product management will still be crucial to balance the desire for innovation with the need for simplicity and reliability. The challenge will be to harness AI’s power without sacrificing the core value of a well-designed product.

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• https://www.infoworld.com/article/4164602/a-new-challenge-for-software-product-managers.html