Using AI to generate content without adding human context simply transfers the intellectual effort to the recipient. This creates rework, confusion, and can damage professional relationships, explaining the low ROI seen in many AI initiatives.
A primary challenge for product managers after training is implementation. They return energized but face reality checks like lack of buy-in from stakeholders who didn't attend the training, creating a significant and persistent organizational hurdle.
Companies racing to add AI features while ignoring core product principles—like solving a real problem for a defined market—are creating a wave of failed products, dubbed "AI slop" by product coach Teresa Torres.
Gaining genuine team alignment is more complex than getting a superficial agreement. It involves actively surfacing unspoken assumptions and hidden contexts to ensure that when the team agrees, they are all agreeing to the same, fully understood plan.
Instead of debating whether Product Management or Product Marketing "owns" positioning, teams should treat it as a critical point of shared alignment. It's a collaborative space where the entire team agrees on the product's value and market strategy.
Creating products customers love is only half the battle. Product leaders must also demonstrate and clearly communicate the product's business impact. This ability to speak to financial outcomes is crucial for getting project approval and necessary budget.