Contrary to sentiment in this thread, I am seeing positive effects of designers and PMs using AI. Skilled designers can now own how their components look and feel with guardrails.
My software development skillset has improved. I’m learning and stress testing new patterns that would have taken far longer pre-AI. I’m also working in new domains and tech stacks that would have taken me much longer to get up to speed on.
“Cryptic” exit posts are basically noise. If we are going to evaluate vendors, it should be on observable behavior and track record: model capability on your workloads, reliability, security posture, pricing, and support. Any major lab will have employees with strong opinions on the way out. That is not evidence by itself.
Cultural obituaries are often premature, and the one for literacy is no exception. A nascent contrary impulse is emerging: readers deliberately turning to long-form works as a form of intellectual resistance. I’ve been working through Norman Lewis’s Word Power Made Easy and Tom Heehler’s The Well-Spoken Thesaurus, not just to expand vocabulary but to restore the sinew of productive speech.
That project led me to conscript AI as a private tutor. With custom instructions, ChatGPT and Gemini now surface new words and nudge my prose toward clarity, turning a vague fear of erosion into conviction. A dedicated subset of users will inevitably harness such tools to strengthen their expressive range and communicative precision.
Until recently, my writing rarely left emails and journals. Now, with AI as scaffold and sparring partner, I draft short stories from my own life and recast them in the voices of authors I admire. This feels less like a technology poised to supplant teachers, and more like the substrate for a renaissance in autodidactic education.