William Gibson wrote that the future is already here — it is just not evenly distributed. He was describing the uneven geography of technology adoption, but he could not have anticipated how precisely the line would map onto artificial intelligence in 2026, or how steep the gradient would become. The distribution follows a rough but observable hierarchy. Researchers and engineers at major AI laboratories — Anthropic, OpenAI, Google DeepMind — are operating with internal models that will not reach the public for another three to four months.