The tech industry giants are gearing up for a massive "plumbing upgrade" as they explore the limitless potentials locked in the intricate craft of artificial intelligence. The digital evolution that took us from boolean binaries to predictive algorithms now paves the way towards AI, and at the forefront of these systemic upgrades, stand DevOps engineers.Harnessing the power of AI is not a walk in the park. It requires substantial resources, streamlined processes, and refined operations – the pillars of DevOps methodology. The successful integration of AI into existing systems will predominantly hinge on effective DevOps practices. This focus on operational efficiencies will pave the way for DevOps engineers to play a transformational role in this tech evolution. As pointed out in today's article, "In Race to Build A.I., Tech Plans a Big Plumbing Upgrade", the scale of spending expected in AI is staggering. Yet, it is a clear indicator of the vast scope of work for DevOps specialists. From automated testing, continuous integration, continuous deployment, to monitoring and logging, every facet of DevOps will play a pivotal role.Also worthy of note is the surge in AI-driven DevOps tools, aiming to attain a perfect synergy between the two domains. These tools are designed to automate mundane tasks, boost productivity, and optimize action. The eventual outcome is a highly efficient, streamlined operational workflow geared towards the construction and sustainment of AI-based solutions.The rapid evolution in technology swamps us with continual advancements. Each wave adds to the pile of must-know information for DevOps professionals. As the race to build AI intensifies, it grooms a new genesis for DevOps - an era where automation, efficiency, and constant delivery become quintessential. Stay tuned; the best in DevOps is yet to come.