With April closed, three facts from the month describe a phase change in the sector.
The first is about price: for the first time in two years, a frontier model arrived more expensive per token, inverting the expectation embedded in almost every cost spreadsheet in the market.
The second is about capability: a model found flaws in software audited for decades, and the company that built it restricted access on the same day as the announcement, with no public structure in place to assess that decision.
The third is about physical scale: AI data centres drawing the equivalent of an entire US state's peak demand, with nearly every leading chip coming from a single territory.
All three point to the same place, which is the end of the phase where capability grew, prices fell and nobody had to choose. From here, each gain came with a visible trade-off in cost, in risk or in dependency.
For small operations, the practical translation fits in one sentence: waiting for the next generation to solve the problem stopped working, and measuring your own spend and designing your own plan B started paying again.