Decoding Discontinuity

Decoding Discontinuity

Claude Is Building Claude: Where Scarcity Migrates When the Intelligence Factory Goes Autonomous

Anthropic disclosed that it is approaching “recursive self-improvement” to develop its models. The real story is what it means for scarcity and the moat as the company prepares to go public.

Raphaëlle d'Ornano's avatar
Raphaëlle d'Ornano
Jun 09, 2026
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Image by Andrés Gómez via Unsplash

Anthropic’s Recursive Self-Improvement (RSI) research (i.e. AI autonomously designing and improving its own successors) isn’t about “superintelligence” or a “pause.” It is the seventh “tremor” in the shift from tools to goal-seeking agents. Intelligence and the Harness (routing, memory, orchestration code) are commoditizing fast and becoming self-improving, but real scarcity, which defines durable value and moats, migrates to the two true bottlenecks: scarce compute (which RSI actually intensifies) and operational context (the real-world data, outcomes, and judgment that labs can’t automatically generate or own). RSI accelerates everything except the parts enterprises control, giving Anthropic’s enterprise/Harness lead a powerful booster. But it’s not an unassailable moat yet.

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