The tech industry's attempt to replace software developers with artificial intelligence has resulted in a massive accumulation of technical debt and a "slop layer" of unmaintainable code. Despite billions in investment, 95% of enterprise generative AI pilots have failed to deliver measurable returns by 2026, as AI-generated code frequently contains security vulnerabilities and lacks structural integrity. While tech giants initially used AI as a justification for massive layoffs and salary suppression, the reality reveals a "junior death spiral" where the talent pipeline is collapsing because entry-level roles were prematurely automated. High-profile failures, such as the $1.5 billion Builder AI scandal and catastrophic production errors like the "anti-gravity incident," demonstrate that AI lacks the accountability and complex architectural memory essential for engineering. Ultimately, the narrative of total automation has proven to be a costly delusion, forcing organizations to realize that human architects remain indispensable for fixing the logical landmines created by AI tools.
Sign in to continue reading, translating and more.
Continue
