When building a collaborative product like a fraud network, manage the expectation that all customer feedback will be implemented. Position early customers as 'advisory members' of the system. This values their input while maintaining your strategic control to balance their requests against the broader product vision and business needs.
As AI models become commoditized, a slight performance edge isn't a sustainable advantage. The companies that win will be those that build the best systems for implementation, trust, and workflow integration around those models. This robust, trust-based ecosystem becomes the primary competitive moat, not the underlying technology.
When building a new product with few customers, avoid being dictated by individual feature requests. The real opportunity lies in analyzing the customer's entire existing toolkit and system to identify and solve inefficiencies in their overall workflow. This approach leads to more general-purpose and valuable solutions.
The PM role has evolved beyond feature roadmaps to a 'systems thinking' approach, akin to a General Manager. PMs now design entire customer experiences and business systems. This shift is accelerated by AI, which lowers the barriers for PMs to acquire skills outside their core background, whether technical or business-focused.
To get enterprise customers to trust your AI features, leverage a platform they already have a security posture with, like AWS Bedrock. This 'meet them where they are' strategy bypasses significant security and data privacy hurdles by piggybacking on their existing trust in a major provider, accelerating adoption.
AI's primary impact is not wholesale human replacement but rather collapsing the middle of the value pyramid by automating routine knowledge work. The value of human workers will shift to higher-level judgment and strategic oversight, where AI can structure options and simulate outcomes, but humans retain final say due to liability concerns.
The key to accelerated career growth for product managers is to rapidly close the gap between their existing skills and the ones they lack. Modern tools and AI have dramatically lowered the barrier to learning, enabling PMs from any background to become more well-rounded 'General Managers' of their product faster than ever before.