The article highlights a pressing issue in tech leadership regarding the push for AI investments without clear financial rationales. At a recent conference, product managers expressed frustration over the lack of direction from executives who are demanding significant resources for AI projects. One product manager noted the absurdity of spending $20 million on AI tools while being held to arbitrary usage metrics. This environment marks a stark departure from past practices, where leadership has typically been cautious about research funding and tools budgets. The author identifies several driving forces behind this shift, including competition fears, investor pressure, and a media frenzy promoting AI success stories. Companies are now rushing to integrate AI tools into their operations, often without a coherent strategy. In the short term, CEOs are focused on tracking AI engagement metrics and funding training, but this frenzy may soon give way to a demand for measurable returns on investment. The expectation is that soon there will be pressure for concrete financial outcomes, such as significant reductions in staffing costs or boosts in revenue linked to AI features. Ultimately, the article argues that as leaders in product and engineering, there’s a need to start preparing realistic financial narratives around AI investments now. Without these "money stories," the inevitable pivot back to demanding clear returns could leave teams unprepared and struggling to justify their AI spending.