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Token prices are falling fast, but enterprise AI bills are rising. Uber burned through its entire 2026 AI coding budget in four months driven by Claude Code adoption. Goldman Sachs projects a 24× increase in token consumption by 2030. The Jevons paradox shows up again: efficiency gains don't reduce consumption — they expand it.
Read more →Anthropic's new advisor tool formalizes a pattern that practitioners have been assembling by hand: a fast executor model (Sonnet or Haiku) that can consult Opus for strategic guidance mid-generation, entirely server-side within a single API call. The benchmarks show real gains and the implementation is notably clean — but the more interesting shift is architectural: it treats Opus-level intelligence as a resource to be invoked selectively rather than paid for on every token.
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