This more or less confirms what I imagine most of us thought, AI is mostly used by engineers, or for engineering tasks. Makes sense, I wonder how much traffic comes from automated tasks (co-pilot, etc). Every time I read a report like this I do wonder if we'll ever see an ROI on LLMs. HUNDREDS of billions of dollars of spend, and 3 years in its still primarily the same crowd using it, and has yet to create a "killer" app beyond ChatGPT and Co-Pilot style IDE's. And its not like people aren't trying! Look at the recent YC batches, its all AI-for-industry. Idk man, I fear the economic reality on the backside of this kind of spend.
I don't think it's necessarily because of lack of generalizability. We (SWEs) built it, so we naturally have the most intimate knowledge of how to dogfood/use it. And so the cycle intensifies (use, provide feedback, improve). There's many positive examples of LLMs being useful in document based workflows in other domains as well!