Companies are evolving their approach to AI, moving beyond fragmented initiatives towards more strategic adoption that impacts design, engineering, and product collaboration. The initial phase of widespread, often uncoordinated AI tool usage, driven by hype, is giving way to a more considered integration. This transition reflects Gartner's shift from the "Peak of Inflated Expectations" to the "Trough of Disillusionment," as organizations confront ROI realities and security concerns. Some companies still struggle with strategy, while others, like "Directive Companies," see significant gains from top-down AI implementation. Individual efforts, like creating an AI "clone" of a senior engineer, demonstrate that even without formal strategies, AI can yield positive results by smoothing collaboration. However, a significant gap exists between the pressure designers feel to increase output and formal company updates to support AI adoption. Figma's reports indicate a growing recognition of structured AI support, with early and growth-stage companies now equally likely to report strong organizational backing. Companies like Fin and Amplitude showcase successful, comprehensive AI integration, leading to substantial revenue growth and a cultural shift towards open AI use. This strategic embrace of AI is blurring role boundaries, with designers taking on more product and engineering tasks, and non-designers performing design work. While this can lead to challenges in collaboration for some, for others, it fosters significant positive impacts and can even lead to shrinking team sizes among multi-skilled individuals.