"One of the defining traits of strong engineering leadership in the A.I. era will be the ability to distinguish polished output from real judgment."
https://www.koshyjohn.com/blog/ai-should-elevate-your-thinking-not-replace-it/
"One of the defining traits of strong engineering leadership in the A.I. era will be the ability to distinguish polished output from real judgment."
https://www.koshyjohn.com/blog/ai-should-elevate-your-thinking-not-replace-it/
AI speeds up many forms of work, which changes more than delivery times. It also changes how people think. Quick summaries and fast conclusions create pressure to move on before ideas have been tested properly.
Depth usually comes from reflection, revision, disagreement, and time.
None of those processes move particularly fast.
"Small teams have coherence for free; the multiplier is uniformly positive there, which is why the loudest agent boosters tend to be small teams, and why they are mostly right about their own context."
AI is exceptional at speeding things up, but speed has side effects.
Quick summaries. Quick conclusions. Quick strategies. The danger isn’t only automation, but - perhaps more importantly - it’s the gradual normalisation of shallow thinking. 👉 https://www.martinkubler.com/the-ai-illusion-3/
AI makes it easier than ever to produce things quickly, but it also creates a subtle trap: confusing activity with progress.
More output doesn’t automatically mean better thinking.
👉 https://www.martinkubler.com/the-ai-illusion-1/
What skill have you developed in the last five years?
Ask most knowledge workers what skills they've developed in the last five years, and the honest answer is "email, instant messaging, and meetings." Not exactly skills you can sell. And AI is making it worse.https://nathans.blog/2026/05/15/what-skill-have-you-developed-in-the-last-five-years/
Another week, another discussion, maybe lets talk about LLM with general blog text? Or how to use a tool as a tool? Or try to expose some more contradictions?
https://jeferson.me/blog/2026/05/15/agents-for-text
#Agents #AI #Automation #Blog #CLI #Coding #Contradictions #Efficiency #JevonsParadox #KnowledgeWork #Layoffs #LLM #Productivity #Rails #Ruby #SoftwareEngineering #Spellchecker #Writing
Most companies are still treating AI like a demo booth.
The real product is the build room: data access, permissions, workflow, audit trails, human approval, and maintenance.
That is where AI becomes useful work.
