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Who Decides the Best AI, and Could Access Gaps Deepen Global Inequality?

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Leaderboards that rank AI models change frequently, but a deeper question is whether the most capable systems will reach everyone equally. A 2026 Stanford index found the top closed model led the best open-weight model by only 3.3 percent, so competition is shifting toward cost, speed, and reliability. Advantages such as compute, energy, data, talent, and distribution are unevenly spread across the world. Microsoft data shows AI use reached 28.8 percent in the Global North but only 16.2 percent in the Global South, with the gap widening. The author also measured how tokenization makes the same text costlier in some languages, which can raise prices and limit what speakers of those languages can do with AI.

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