This article argues that many development teams fail to see productivity gains from AI because they haven't addressed fundamental bottlenecks in their processes. High-performing teams succeed by streamlining workflows and working in smaller batches, while others struggle to adapt and end up slower with AI. The author emphasizes that significant investment and commitment are necessary to build effective software development capabilities.

The article highlights that 55% of departmental AI spending is now focused on coding, amounting to $4 billion in 2025. This growth is driven by tools like Cursor and Claude Code, which have significantly improved developer productivity and demonstrated clear ROI. Other areas like IT, marketing, and customer support are growing but lag behind coding in adoption and spending.

Companies are increasingly adopting generative AI tools, yet a paradox exists as most employees report a lack of tangible benefits from these technologies. Despite a significant rise in AI usage and investment, a recent MIT Media Lab report reveals that 95% of organizations do not see a measurable return on their investment.

Generative AI may not lead to widespread wealth generation for investors as historical precedents suggest that value creation often benefits customers more than creators. The focus should shift to investing in companies that effectively incorporate AI to enhance productivity and reduce costs in knowledge-intensive sectors. Opportunities exist, but successful investment strategies will require foresight and a different approach than past tech investment trends.