As GenAI adoption surges, so does its environmental footprint—from energy-intensive training runs to daily inference at scale. With data centers on track to double emissions by 2030 and regulations like the EU AI Act taking effect, sustainability is no longer optional. This presentation offers a bird's-eye view of the current landscape: what we know (and don't) about GenAI's carbon impact, trends in regulation, infrastructure, and stakeholder expectations, where high-impact applications justify their footprint—and where lighter alternatives suffice. Key takeaways: we will highlight actionable levers for teams: from smart model selection and architecture design to tooling for carbon tracking and optimization. If you're shipping GenAI features or making infra decisions, this session will help you align innovation with responsibility—and prepare for what's next. The session will begin with a 2-minute overview of the current GenAI landscape, followed by a 1-minute deep dive into emerging blind spots, and will end with 2 minutes of actionable guidance.