Google's 2025 DORA research: AI is an amplifier - it magnifies the strengths of high-performing companies and the flaws of underperforming ones. Data from nearly 5,000 technology professionals connects AI adoption with better software delivery throughput but stability remains an issue. The Velocity Tax: time saved writing code reappears as time spent reviewing, testing, correcting, prompting; 30% of developers have little or no trust in AI-generated code.
The Expertise Paradox: if AI removes too much of the struggle, how do engineers develop deep expertise? Generation becomes cheaper, evaluation becomes more valuable, judgment becomes more important. The Prototype-to-Production Gap: the first 80% gets faster while the final 20% stays expensive. The leadership question is not how much faster AI makes developers, but whether your engineering system can absorb that speed and convert it into reliable value.
