CloudBees’ independently conducted 2026 State of Code Abundance study, covering more than 200 enterprise technology leaders, draws up the balance sheet of software’s age of abundance: 61% of the average enterprise codebase is now generated by AI or written with AI assistance. The contradiction sitting next to that number is the report’s real headline: 92% of leaders say they trust AI-generated code’s production readiness, while 81% report rising production failures tied to that same code. Organisations’ self-assessed readiness score is 83.6 out of 100 — yet only a third of AI spending can be attributed to a concrete business outcome. Confidence is high; measurement is absent.
This looks like a software story; it isn’t. The same pattern forms wherever production becomes abundant: as output multiplies, verification becomes scarce — and wherever scarcity moves is where the bill gets written. I’ve written this before: when something becomes abundant, value doesn’t disappear, it moves to the neighbouring box. In code, the neighbouring box is testing, governance and accountability; in creative production, it is selection, framing and judgement. The agency boast of “a thousand variants a week” and this 81% failure line are two points on the same curve. The real point: if 92% confidence and 81% failure can sit side by side in one survey, what’s being measured isn’t readiness but the feeling of readiness — and that is the most expensive illusion of the age of abundance.