The tech industry is in panic as AI threatens to disrupt the very professionals who built these tools. Software development faces unprecedented vulnerability due to its verifiable nature and the abundance of open-source code available for training. Unlike other industries where AI application is uneven, software professionals are uniquely positioned to create effective AI coding tools, creating a dangerous feedback loop of self-disruption.

Current AI models exhibit fundamental flaws, with meeting note summarization achieving only 90% accuracy. This 10% error margin matters significantly as AI frequently misattributes statements, draws unfounded conclusions, or exaggerates claims. The lack of an "oracle" source of truth makes verification difficult, yet software's binary nature makes it uniquely susceptible to automated replacement.

Historical disruption patterns suggest dire consequences: price competition will drive wages down, the industry will permanently transform with no return to normal, and remaining workers will face exponentially higher workloads. Wealth will concentrate among owners, executives, and model providers who act as rent seekers. The cannibals are hungry, and this time the call is coming from inside the house.