The Layer in Between
Blue Ocean Strategy and the mechanisms of position loss it cannot see
RESEARCH PAPER
Bilal Farhat
9/24/20263 min read
About this paper
Blue Ocean Strategy promises a firm that creates new market space ten to fifteen years without credible challenge. The number appears in the book’s opening argument, it is repeated in thousands of syllabi and consulting decks, and it was never a measurement. No distribution, no median, no survival curve. Seventeen years before the book, economists surveying more than a hundred manufacturing industries had measured the thing itself: most innovations were imitated in under three years. This paper tests what generative AI has actually done to market positions since 2022, through six cases selected under a rule fixed in advance, with cases expected to contradict the argument deliberately included. The finding concerns the framework rather than the technology. The book theorizes exactly one way a market position is lost: a rival copies you. There are at least three. A platform can bundle your function into its own product, and the market stops existing. Or the layer customers pass through to reach you can begin answering their question itself. Your service still works. Nobody arrives. The framework cannot see the second and third mechanisms because every firm in its evidence base met its customers directly. Cirque du Soleil never had to worry about how the audience found the tent.
What the paper finds
The ten-to-fifteen-year protection claim was asserted, never measured. The measured literature on imitation reports lags of one to three years, and the framework does not engage it.
Most AI start-ups sell existing services more cheaply. On the book’s own definition, that is a red-ocean cost attack. You cannot lose a blue ocean you never had.
The best-evidenced collapse of the AI era, Chegg, fits neither imitation nor bundling. Its exposed segment lost 43 percent of its revenue in 2025 while the other segment, same company, same balance sheet, lost 7 percent.
Bundling does not reliably kill. In coding, search and meeting transcription, the incumbent shipped the same function and the independent firm grew anyway.
Nearly every number in the public argument about which AI firms are dying is produced by the firms themselves and cannot be audited. The debate never resolves. The question is not hard. It is unauditable.
Downloads
Everything is downloadable. The paper stands on its sources, and the sources are yours to check.
The Paper
Full text with figures, twelve explanatory footnotes, the verification record, and every derived calculation shown in the appendix.
The Research Table
The 26 questions the research asked, what each one found, the source used, and what kind of source it is
The Data and its Sources
Every figure behind the paper’s charts: its value, its status under the protocol, and the primary source it traces to, with links
A note on the data
Chegg is the only company in the case set whose numbers are audited and filed; its series here comes from SEC filings. The revenue figures for Cursor, Perplexity and Otter are the companies’ own and are marked Attributed. The difference between those two kinds of number is itself one of the paper’s findings.
About the author
Bilal Farhat is a competition economist and independent scholar. This paper is written in a personal capacity. The views expressed are the author’s own and do not represent those of any organization or firm with which the author is, or has been, affiliated.
Cite this paper as: Farhat, B. (2026). The layer in between: Blue Ocean Strategy and the mechanisms of position loss it cannot see. https://www.bilalfarhat.com/the-layer-in-between
Contact: bilal.h.farhat@gmail.com