The dominance of hyperscalers AWS, Google Cloud, and Microsoft Azure has shaped the cloud landscape for more than a decade. Enterprises flocked to these platforms to simplify IT operations, lower costs, and drive innovation. For a while, it worked. The allure of scalability, convenience, and a centralized platform to power workloads was hard to resist.
However, times are changing. Many organizations are rethinking their reliance on hyperscalers for existing and future workloads, particularly those powered by artificial intelligence. This movement comes down to one simple truth: Enterprises need more control over their data and what’s being done with it. Cost, data sovereignty, and the freedom to innovate without operational constraints are driving enterprises to look beyond the major players.
This paradigm shift doesn’t suggest the complete demise of hyperscalers; they’ll remain pivotal players for specific use cases. However, more and more enterprises are breaking free and embracing heterogeneous platforms to reduce costs, regain control, and power AI innovation with local-first, repatriated data strategies and AI-driven systems. This shift is one of the most significant trends in enterprise IT in the past five years.
