Overuse 🫨
"'For my team, the cost of compute is far beyond the costs of the employees,' Bryan Catanzaro, vice president of applied deep learning at Nvidia, recently told Axios.
"An MIT study from 2024 backs up Catanzaro’s experience. Analyzing the technical requirements of AI models needed to perform jobs at a human level, researchers found that AI automation would be economically viable in only 23% of roles where vision is a primary part of the work. In the remaining 77% of the time, it was cheaper for humans to continue their work.
"In other instances, AI has proved to be fallible, with one engineer saying an AI agent destroyed his database and network as a result of what he called overuse.
"Despite no clear evidence of AI improving productivity and, according to the Yale Budget Lab, no widespread data to support the idea of AI displacing jobs, Big Tech firms have continued to pour money into AI, announcing $740 billion in capital expenditures this year so far, according to Morgan Stanley, a 69% increase from 2025."
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