In recent years, major companies like Google and Microsoft have publicly announced that up to 30% of their code is AI-generated, reflecting a growing trend where AI plays a significant role in software development. This trend raises questions about the ideal percentage of AI-generated code that balances productivity without compromising quality. The stock market has reacted favorably to companies announcing AI strategies, boosting the value of such firms. However, concerns arise as AI-generated code sometimes leads to more bugs and requires extensive debugging and review, negating the potential benefits. While some leaders predict a future where AI-generated code dominates, others warn that focusing solely on AI-generated code percentages can mislead and overlook the broader potential of AI across the software development lifecycle. Developers express frustration with metrics that prioritize AI usage over code quality, urging for a more nuanced approach to assessing AI's impact on productivity and innovation. The debate continues on how best to integrate AI into development processes without undermining human developers and compromising software quality.