Most AI coverage is written from the lab outward: a model is released, a benchmark is beaten, a funding round closes. This desk is written from the other end. We cover artificial intelligence the way an owner, a marketing lead or an operations manager meets it, as a set of tools that change how customers find a business, how work gets done, and what new obligations come with both.
That framing shapes what we prioritize. A new model matters to us when it changes what a ten-person company can do, or what a customer will expect. Policy matters when it changes a contract, a disclosure or a procurement form. Search matters most of all, because the way people discover businesses is moving from a page of links to a single synthesized answer, and the businesses named in that answer are not always the ones that ranked first.
What we watch
AI search and answer engines. Google’s AI summaries, ChatGPT, Gemini, Perplexity and the systems that decide which sources get cited. We track the measurable effects on clicks and calls, not the speculation.
Agents. Software that takes actions rather than producing text, from shopping agents that complete purchases to assistants that book, file and follow up. The interesting questions are about permission, verification and liability.
Policy and regulation. Federal executive orders, state AI laws and international rules such as the EU AI Act, translated into what they require of a business.
Work and workforce. How AI is changing hiring, training and the entry-level jobs that used to be the first rung on a career ladder.
We try to be specific about what a tool cannot do. An article that only lists capabilities is a brochure.