Anthropics KI-Expositionsstudie: Was die Daten für Ihre Belegschaft bedeuten

What I find most interesting here is that the damage doesn’t seem to show up as mass layoffs first — it shows up as entry-level doors quietly closing. That feels way more realistic, and honestly more worrying, because by the time unemployment spikes, the pipeline has already been shrinking for a while.

yeah this “gap” is something a lot of people are noticing right now. the theoretical capability of AI is moving insanely fast, but actual adoption inside companies is much slower. a lot of businesses still haven’t figured out where AI actually fits into their workflow. people experiment with tools like ChatGPT, Claude, Perplexity, Notion AI, Runable, and others, but it often stays at the “cool demo” stage instead of becoming part of daily operations. part of the issue is that integrating AI into real work processes is harder than just using a chatbot. you need good data, clear workflows, and people who know how to use the tools effectively. so the gap isn’t just about technology capability vs usage, it’s also about organizational readiness. companies that close that gap early will probably see a big productivity advantage over the next few years.