Harvard Business Review on how fixing AI generated "workslop" is destroying productivity by making the competent workers clean up after the AI users:
https://hbr.org/2025/09/ai-generated-workslop-is-destroying-productivity

Klarna CEO institutionalizes this, by "vibe coding" shit and then making developers clean up his messes:
https://gizmodo.com/nightmare-boss-klarna-ceo-makes-employees-review-his-ai-generated-vibe-coding-projects-2000662188

AI-Generated “Workslop” Is Destroying Productivity

Despite a surge in generative AI use across workplaces, most companies are seeing little measurable ROI. One possible reason is because AI tools are being used to produce “workslop”—content that appears polished but lacks real substance, offloading cognitive labor onto coworkers. Research from BetterUp Labs and Stanford found that 41% of workers have encountered such AI-generated output, costing nearly two hours of rework per instance and creating downstream productivity, trust, and collaboration issues. Leaders need to consider how they may be encouraging indiscriminate organizational mandates and offering too little guidance on quality standards. To counteract workslop, leaders should model purposeful AI use, establish clear norms, and encourage a “pilot mindset” that combines high agency with optimism—promoting AI as a collaborative tool, not a shortcut.

Harvard Business Review
@danlyke reminds me of a Y2K project I did in 1999 in the Netherlands. A big US based company decided to have their COBOL sources made Y2K compliant ‘off shore’ to save money. Because the coders there had no clue of what the programs were supposed to do, all testing and debugging was done in the Netherlands. In the end it cost the company more (time and money) than if the project had been done in-house by its own programmers.