The commercial and regulatory context — pricing moves, provider strategy, compliance, and where the AI market is heading.
14 articles
Model capability is only half of what determines whether an AI plan works. The other half is context: what providers charge and why they changed it, which company is positioned where, what regulation such as the EU AI Act requires of you and by when, and which industry claims survive a second look. This category covers that side — the decisions a buyer or a planner has to make that are not technical.
We try to be useful rather than predictive. Anyone can extrapolate a trend line; the harder and more valuable thing is to explain what a specific announcement means for a budget, a procurement decision, or a compliance obligation with a date attached. Where numbers get quoted here, they come with a source, and where the honest answer is that nobody knows yet, we prefer saying so to guessing confidently.
This is also where we push back. A large share of AI industry writing consists of a vendor claim repeated until it reads as established fact, and checking one against its own source is often enough to find that the number was a projection, a survey of forty people, or a figure about something adjacent. When we can check a claim we do, and when a widely cited statistic turns out to be unsupported we would rather write that up than quietly avoid it.
Read alongside the technology category: a pricing move and the model behind it are usually the same story told from two directions.
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