McKinsey's 2026 AI survey, read from a 30-person firm
Nearly every company now uses AI, and the share seeing profit from it has barely moved in a year. Smaller firms trail on agents. Where that gap comes from.
What we learn putting sales follow-up, back office systems and AI to work, first in our own businesses and then in our clients'.
Nearly every company now uses AI, and the share seeing profit from it has barely moved in a year. Smaller firms trail on agents. Where that gap comes from.
AI tools treat every fact you give them as equally true. A fact with no source, date or owner is a guess with good manners. Give each one a status.
AI memory features remember things you never asked them to and forget things you needed. A business needs memory it can open, edit and audit.
Most firms now run several AI tools, and each one has been told a different version of the business. Count them, then decide where the context lives.
In a 2025 trial, experienced developers were 19% slower with AI while believing they were faster. Why the feeling and the clock disagree.
AI-made work that looks finished but is not costs the person who receives it close to two hours. Where that cost lands and what cuts it.
Everyone quotes MIT's 95% figure. Few quote the reason the report gives for it, and that reason is the useful part for a business owner.
You do not need a knowledge base to give your AI tools and your team a shared memory. You need six short pages, written in the right order.
What a new hire needs in week one is almost exactly what an AI tool needs before every task. One document can do both jobs.
Teams and AI tools both repeat failed experiments when lessons live in memory instead of on paper. How a short learnings log changes that.
Connecting an AI assistant to all your documents feels like giving it company knowledge. It mostly gives it your archive. What a memory adds on top.
AI-written sales copy blends what you sell today with what you plan to sell. A three-label rule keeps the promises honest for people and AI.