AI Literacy is a person's ability to understand what AI tools can and cannot do, the models behind them, the kinds of results they produce, and how far that output can be trusted. It measures how well a person understands the result an AI produces and not necessarily how that result was technically produced.
TikTok limits the term to the skill of spotting AI-generated content in a feed, which in practice means separating AI Slop from human work. Building or fine-tuning a model is not part of it, which is what separates literacy from engineering skill and which is why vendors including Anthropic prefer the label "AI fluency."
AI Literacy is becoming an asset in the job market. Lightcast, a labour market data firm, analysed more than 1.3 billion job postings in July 2025 and found that listings naming at least one AI skill advertised salaries 28 percent higher, close to 18,000 dollars a year more. 51% of those listings sat outside IT and computer science, so the premium reaches roles where nobody is expected to write code.
In work automation, AI Literacy determines how an employee engages with the agents assigned to their work. The least literate only approve or reject what an agent produces, without any view of how the result was reached. Those with more literacy delegate deliberately, stating a goal and supplying the context an agent needs. The most literate configure the agent themselves, setting the scope, tools, and permissions it works under, so failures are prevented rather than caught afterwards.
