CURRENT

Eighty-six percent of organizations are pulling workloads back from public cloud. The economics that worked at prototype scale break at production volume. Hybrid infrastructure isn't compromise—it's companies learning what actually costs less to run.

Companies average 106 SaaS applications with $21M in annual waste. Over 2,600 M&A deals in 2025 signal the turn. Point solutions that multiplied during growth now consolidate under platform pressure. The pattern always ends here.

AI handles routine tasks, then workers become system stewards managing edge cases. Manufacturing firms adopting AI see productivity decline. The work doesn't disappear. It transforms into something harder—oversight of systems that fail in unexpected ways.

Developers spend seventy percent of time on infrastructure. Eighty-eight percent of teams report higher costs. AWS EKS and managed services emerge to abstract the complexity Kubernetes created. Every infrastructure layer eventually generates its own abstraction market.

After twenty years of flat electricity demand, data centers will consume twelve percent of US power by 2030. AI workloads break assumptions built over decades. Infrastructure designed for predictable growth hits a wall when workload patterns fundamentally change.

Only eight percent of organizations fully exit cloud. The rest manage hybrid portfolios, moving some workloads while expanding others. Infrastructure choices become optimization problems, not religious commitments. The all-or-nothing phase always gives way to selective strategy.