Internalization is the geological process. Every hour of friction-rich practice deposits a thin layer of understanding; the layers compound over years into the solid ground on which expert intuition stands. Reading about the physics of balance produces explicit knowledge of cycling; falling off a bicycle, adjusting, and falling less produces tacit knowledge of how to ride. No amount of explicit instruction substitutes for the practice, because the conversion from explicit to tacit requires the body's sustained engagement with resistant material. AI interrupts this conversion at the precise point where friction would occur. When Claude Code produces working software from a natural language description, the entire sequence of friction-dependent experiences — the debugging, the failed compilations, the unexpected behaviors, the forced consultations with documentation — is bypassed. The explicit artifact exists. The conversion that would have made its knowledge personal and tacit has been skipped.
The Orange Pill's geological metaphor is, in Nonaka's framework, not a metaphor at all but a description of the Internalization mechanism operating correctly. The friction is constitutive, not incidental — the error that forces re-examination, the failure that forces revision, the confusion that forces the construction of understanding are the mechanism by which explicit knowledge becomes tacit. Without the resistance, the explicit knowledge remains external: it sits in the documentation, it exists in the codebase, it is available for retrieval, but it has not been internalized.
Segal's story of an engineer who noticed, months after adopting Claude Code, that she was making architectural decisions with less confidence than before and could not explain why provides the clinical case. The explanation, in SECI terms, is precise: the Internalization mode had been interrupted. The explicit knowledge she needed for architectural decisions was still available in documentation and in Claude's outputs. But the tacit knowledge that would have allowed her to evaluate that explicit knowledge with embodied confidence — the felt sense of how systems fit together — had stopped accumulating because the experiences that deposit it had been automated away.
The laparoscopic surgery analogy that The Orange Pill introduces illuminates the mechanism with clinical precision. Surgeons trained exclusively on laparoscopic techniques lack the tactile intuition open surgeons possessed — the ability to feel the boundary between tissue types through direct manual engagement. This was not a training-quality deficiency. It was a direct consequence of removing tactile friction. The knowledge that lived in the open surgeon's hands was deposited through years of direct, resistance-rich engagement with the body. Laparoscopic surgery replaced that engagement with instrument-mediated interaction, and the tactile knowledge disappeared as a predictable consequence.
The ascending friction thesis — that difficulty relocates to a higher cognitive level — is compatible with Nonaka's framework but adds a qualification: the tacit knowledge deposited by the old friction is different in kind from the tacit knowledge deposited by the new friction. What is gained and what is lost are not the same currency. Whether the new layers compensate fully, partially, or inadequately for the old is an empirical question answered only over time, as practitioners trained exclusively in the new paradigm encounter situations where the old tacit knowledge would have been decisive.
Described in The Knowledge-Creating Company (1995) as the explicit-to-tacit conversion that closes the SECI cycle. The concept draws on Polanyi's analysis of tacit knowledge and on long traditions of craft education — apprenticeship, deliberate practice, the 10,000-hour rule — that treated embodied understanding as the product of sustained engagement rather than accumulated information.
Friction is constitutive, not incidental. The resistance that forces re-examination is the mechanism by which explicit knowledge becomes tacit.
AI removes friction comprehensively. Not selectively, not only in tedious domains, but across the full range of practice activities that deposit tacit understanding.
The explicit output exists; the tacit deposition does not. The practitioner ships the feature without undergoing the experience that would have made the knowledge embedded in the feature hers.
Evaluation capacity depends on Internalization. The senior architect evaluates AI outputs confidently because her tacit base was built through pre-AI friction; the junior practitioner, denied that friction, may evaluate only at the explicit level.
The remedy is deliberate practice. Structured opportunities for friction-rich work without AI assistance, maintained as developmental discipline rather than primary production.