OpsLyft reposted this
Here's an uncomfortable truth for cloud-first companies- Your shiny new AI workloads? They’re eating your cloud budgets alive. And it’s not just a snack; it’s a full-course meal. Here’s the math: In the old world of predictable cloud usage, for every $100 you spent, you got $90 worth of business value. You could forecast. You could optimize. You could sleep at night. Welcome to 2025, where AI is the new gold rush—and the mining tools are expensive. Your generative AI models are churning through compute power like there’s no tomorrow, storage bills are climbing with every dataset iteration, and GPUs? They’re hotter (and costlier) than ever. For every $100 spent now, a chunk vanishes into the black box of AI. “We’ll manage it,” you say. “It’s worth the ROI.” Here’s the catch: - That ROI only shows up if you can allocate these costs properly. - AI and Kubernetes are tangled in shared, untagged resources, making true visibility a nightmare. - Unoptimized workloads are quietly draining budgets, and by the time you notice, it’s too late. The result: - Blown budgets. - Shrinking profitability. - Pressure from investors who still expect growth without waste. Here’s the good news: The winners in 2025 won’t just build AI—they’ll master the FinOps to sustain it. - They’ll know exactly which AI workloads are worth the spend and which aren’t. - They’ll allocate every dollar of cloud cost to a team, project, or feature. - They’ll optimize in real time, ensuring business outcomes—not runaway expenses. At OpsLyft, we’ve seen it firsthand: The future of FinOps isn’t about cutting costs—it’s about enabling growth responsibly. So, here’s our question: What’s your AI really costing you, and do you have the visibility to manage it? Let’s make 2025 the year we align innovation with profitability. #aicosts #saas #costcutting #profitability #finops
