AI Isn’t Taking Your Job—Yet
Most research on AI and employment starts with a simple assumption: if a model can do a task faster than a human, that job is “exposed.” Sounds reasonable, until reality hits. Tasks are messy. Companies are slow. Risk is high. Software stacks are missing. Humans still sign off on everything. Just because AI can do it doesn’t mean it does.
Anthropic’s new study tackle...
**STEELMAN**: Anthropic’s study offers a refreshing counterpoint to the hype and fear surrounding AI and employment. By focusing on *actual* usage rather than hypothetical capabilities, it grounds the debate in observable reality. The distinction between assistive and automated AI use is particularly insightful, as it acknowledges that not all AI adoption is equal—some tools enhance human work, while others may eventually replace it. This nuance is critical in a discourse often dominated by bina...