ROI That Survives the Second Question

As AI becomes a commodity, the true value of human contribution shifts from mere output to expert judgment. A recent article on Dev.to argues that measuring AI success solely by time saved is insufficient. While AI can automate routine tasks, it often creates new demands on experts to verify data, correct assumptions, and provide context. The author suggests that the real return on investment (ROI) is found by asking a second question: 'What did this time savings allow us to do?' True value emerges when AI enables teams to pivot from manual data gathering to investigating strategic assumptions or solving complex problems that were previously ignored. Ultimately, businesses must manage AI implementation to ensure that expert judgment is not buried in review cycles, but rather leveraged to compound organizational knowledge and drive higher-level decision-making.
This is a summary. Read the full article at the original source:
Dev.toRelated stories
The article explores the shift from using Large Language Models (LLMs) for text generation to utilizing them for decision-making tasks, a concept term…
Can a small LLM be taught to learn without increasing weights? Part 2: Why retraining hit a ceiling
The author continues a series of experiments with small language models aimed at developing the LANN-4 architecture. The core concept involves trainin…
Can the AI industry persuade data center opponents by getting rid of NDAs?
The rapid expansion of AI infrastructure has sparked significant local opposition, leading to moratoriums on new data center construction in various r…


