Anthropic just published data showing that AI can theoretically handle 94% of tasks in computer and math occupations. But actual adoption is only around 30%.

That gap is not a technology problem. It is a fluency problem.

Their head economist found that the quality of AI output directly correlates with the expertise of the person using it. In other words, AI does not replace expertise. It amplifies it. But only if you know how to direct it.

Here is what I want to know from this community: When you started using AI tools, what was the moment you realized the output quality depended more on YOUR input than on the tool itself? What changed in how you prompted or directed the AI?

Full analysis: https://www.harvestkernel.com/anthropic-ai-literacy-job-security-workforce-data/