A widely discussed CIO.com essay from a former CDW cloud and managed-services executive lays out a practical framework for a problem nearly every IT leader recognizes but rarely names cleanly: enterprise IT complexity is almost never the result of bad decisions, it is the accumulated residue of individually reasonable decisions made under real pressure over years. The piece describes a repeatable three-phase pattern. First is accumulation, where capability gets added incrementally, a SaaS tool here, a new cloud region there, each justified in isolation but each also adding an integration surface, a vendor contract, and a support relationship. Second is drift, where teams start routing around slow official IT, procurement, or legal channels, a dynamic usually mislabeled as reckless shadow IT when it is actually rational people solving real problems with whatever tools are available to them. Third is lock-in, where the environment develops so many undocumented interdependencies that any meaningful change starts to look too risky to attempt, so complexity keeps compounding until something breaks badly enough to force action. The essay cites Flexera data showing organizations waste roughly 28% of cloud spend on average, much of it from overlapping capabilities acquired at different times rather than outright bad purchasing, and Gartner data putting shadow IT at 30-40% of large enterprise IT spend. Its practical recommendation for IT leaders trying to simplify: start with a contract and spend audit rather than a technical architecture review, since the money trail is usually far cleaner than the actual system configuration, then build a full dependency map before touching anything, and stage consolidation work around business cycles rather than IT release timelines to avoid undermining stakeholder confidence with badly timed migrations.