by Scott Sumner | Jun 26, 2026 | AI at Work
AI is not just another internet moment. The adoption curve is faster, the workflow impact is quieter, and the business advantage comes from removing friction every week. Answer: AI adoption is moving faster than the early internet because practical tools are reaching...
by Scott Sumner | Jun 24, 2026 | AI at Work
TL;DR A prompt asks AI for one output. A loop gives AI a goal, context, tools, memory, verification, and a reason to improve. The best AI workflows are moving from one-off prompting to goal-driven loops. Without verification, the human becomes the loop and has to...
by Scott Sumner | Jun 22, 2026 | AI at Work
TL;DR AI can automate visible tasks, but many business roles include hidden judgment, trust, safety, and context. The doorman fallacy is mistaking the visible part of a job for the whole job. Companies win with AI by giving skilled people better tools, not by removing...
by Scott Sumner | Jun 18, 2026 | AI at Work
TL;DR The AI talent war is a signal that leverage is moving toward people and companies that know how to apply AI well. Most businesses do not need frontier researchers, but they do need operators who can redesign workflows around AI. The gap is not only model access....
by Scott Sumner | Jun 15, 2026 | AI at Work
The AI skill gap is often a context gap. Better results come from giving AI the business background, constraints, examples, and definition of done. Answer: The difference between weak and useful AI output is often context, not model choice. Context includes audience,...
by Scott Sumner | Jun 12, 2026 | AI at Work
AI adoption at work is no longer just a tooling issue. It is becoming a values, policy, governance, and trust issue for employees and business owners. Answer: AI adoption is starting to raise employee concerns around ethics, environment, privacy, and trust. Business...
