You're the bottleneck again: what an army of AI agents waiting on you means for your business
Anthropic found its AI agents spent 80% of session time waiting on a human. Your attention is now the bottleneck. Here's how to make agents need less.
Anthropic found its AI agents spent 80% of session time waiting on a human. Your attention is now the bottleneck. Here's how to make agents need less.
IBM lost 13% in a day when AI learned COBOL. If clients pay you because the work is hard, AI is coming for that premium. Here are the moats that hold.
Small open models now run on hardware you can buy. Here's a three-question test for which AI workloads can stay local, and where the cloud still wins.
AI multiplies the skill you bring to it, so your power users can keep pulling ahead. Why counting logins misses that gap, and what to measure instead.
Beyond a certain point, more intelligence stops helping at work. Judgement, persistence and follow-through decide who gets results, so hire for those.
Before you buy an 'AI-powered' feature, ask to see it with the AI switched off. Three vendor questions that separate real AI tools from a new sticker.
OpenAI and Claude now answer with charts you can touch. The prompting skills gap was partly the text box's fault. How to judge an AI tool from now on.
Small firms can't hire and won't fire, so the team you have is the team you'll grow with. That calls for designing the work, not running more job ads.
Apple's Siri delay is a useful test for your AI roadmap. A good wait names the failure it fixes and proves it. A stall just books another review date.
Executives say AI saves them hours a week; staff say it saves nothing. That gap measures how well bad news travels upward in a business, not the tool.