Who'll stop saying AI with me? (sdtimes.com)

This piece is a satirical manifesto urging organizations and vendors to stop saying “AI” to deflate the current hype cycle. It sketches the familiar scene—executives demanding “AI” projects, vendors slapping “AI” on everything, and candidates claiming decades of AI experience—and proposes a deliberate social taboo: stop naming it. The author argues that if everyone treated AI as an assumed, ubiquitous capability, conversations would refocus on concrete services, workflows and outcomes (apps, RPA bots, models, agents) rather than marketing claims, rebranding, or hiring theater. That would simplify procurement, reduce FOMO-driven spending, and push architectural decisions toward whether a solution actually delivers business value and intended results. For the AI/ML community the recommendation has practical implications: clearer product semantics (distinguish models vs. AI-powered services vs. autonomous agents), less noisy vendor signals, and fewer incentives to overclaim technical capabilities. The piece also acknowledges blockers—investments tied to AI hype—and suggests soft enforcement through social norms, tooling (copilots that avoid the term), or humorous shaming rather than regulation. Ultimately it’s a call to normalize AI as infrastructure: treat it like plumbing you assume is there, and measure systems by effectiveness, transparency and fit, not by whether someone brands them “AI.”