# Market concentration `kaal:entity:market-concentration` **Status.** derived This node is assembled mechanically from the 9 claims that carry the concept tag `market-concentration`. It is a roster of what the corpus says under this term. It is **not** an adjudicated definition: no single statement here has been ruled canonical, and no first-appearance call has been made. Read the claims and judge for yourself. ## Every claim under this term 9 claims across 5 works, 2018 to 2024. **2018** - [3117224-015](https://wulfkaal.github.io/claims/3117224-015) [empirical/evidenced] -- Switzerland ranks only fourth in the number of ICOs launched yet first in total funds raised, so the average Swiss ICO project raises a greater than average amount of funds. > Switzerland is the country with the 4th most ICO's launched but the greatest amount of funds raised in total. Accordingly, the average project in Switzerland is raising a greater than average amount of funds. Wulf A. Kaal, Initial Coin Offerings The Top 25 Jurisdictions and Their Comparative Regulatory Responses (2018). SSRN: https://ssrn.com/abstract=3117224 - [3117224-016](https://wulfkaal.github.io/claims/3117224-016) [mechanism/argued] -- Switzerland's disproportionate share of ICO funds raised relative to ICO count is attributable to the fact that many of the world's most successful ICOs are launched there. > This can be attributed to the fact that many of the world's most successful ICOs get launched in Switzerland. Wulf A. Kaal, Initial Coin Offerings The Top 25 Jurisdictions and Their Comparative Regulatory Responses (2018). SSRN: https://ssrn.com/abstract=3117224 **2019** - [3396542-001](https://wulfkaal.github.io/claims/3396542-001) [empirical/asserted] -- Insurance underwriting as currently organized imposes significant costs and inefficiencies and erects high barriers to entry, and it provides no democratized access to the underwriting process or collective decision making on risk. > The insurance market is dominated by a few core players and subject to high barriers to entry for new market entrants. In the current system, democratized access to the underwriting process and collective decision making on risk does not exist. Craig Calcaterra, Wulf A. Kaal, Vadhindran K. Rao, Decentralized Underwriting (2019). SSRN: https://ssrn.com/abstract=3396542 **2024** - [4734750-006](https://wulfkaal.github.io/claims/4734750-006) [failure/argued] *(failure mode)* -- The 2024 code review market is dominated by a few centralized firms that can charge exorbitant, monopoly-like prices, and those high prices do not buy a sound process because the code review process itself remains significantly flawed. > In 2024, the code review industry is dominated by several key players who can charge exorbitant and monopoly-like prices. Despite these high prices, the code review process is subject to significant flaws. Wulf A. Kaal, Code Review DAO (2024). SSRN: https://ssrn.com/abstract=4734750 - [4734750-015](https://wulfkaal.github.io/claims/4734750-015) [mechanism/argued] -- Market concentration among the top five audit firms itself creates high barriers to entry for new participants in the code review market. > The current market dynamics dominated by the top 5 audit firms also create high barriers to entry for new players to enter into the code review market. Wulf A. Kaal, Code Review DAO (2024). SSRN: https://ssrn.com/abstract=4734750 - [4755632-024](https://wulfkaal.github.io/claims/4755632-024) [mechanism/asserted] *(failure mode)* -- Centralization of the code review industry produces overpricing because clients will pay nearly any price to obtain the stamp of approval from one of the top five audit firms. > As a result of the centralization of the industry, most code reviews are significantly overpriced. Clients pretty much pay any price to get the stamp of approval from one of the top 5 audit firms. Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632 - [4755632-025](https://wulfkaal.github.io/claims/4755632-025) [failure/argued] *(failure mode)* -- Concentrated market power in code review undermines internal and external quality controls, leaving the public with no or very weak control over the quality of code review services, and it eliminates downward price pressure because job posters cannot afford to shop for better-priced reviews. > The centralized power also undermines attempts by other industry players to create internal or external controls on the quality of code reviews. As a result, the public has no or very weak control over the quality of code review services it receives. Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632 - [4755632-026](https://wulfkaal.github.io/claims/4755632-026) [failure/argued] *(failure mode)* -- Because a limited number of players control the code review market and its outputs, the quality of code review is often suboptimal, and clients have little or no recourse when code proves flawed even after functionality and quality review. > Moreover, there is little or no recourse for clients in cases in which the code proved to be flawed even after functionality and quality review. Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632 - [4796714-008](https://wulfkaal.github.io/claims/4796714-008) [failure/argued] *(failure mode)* -- Strict privacy and transparency regulation produces a perverse result: because only large technology companies hold the data resources and infrastructure needed to comply and still build effective AI, such regulation consolidates rather than disperses their power. > Furthermore, while the move towards more explainable, private, and transparent AI is commendable, these regulations can paradoxically consolidate power within large tech companies. Wulf A. Kaal, AI Governance (2024). SSRN: https://ssrn.com/abstract=4796714 ## Verify Every claim above resolves to a record carrying a verbatim source quote, the sha256 of the source PDF, and a preformatted citation. Nothing here asks to be taken on trust. curl -s https://wulfkaal.github.io/entities/market-concentration.md | sha256sum **Canonical form.** This markdown file is the canonical hashed representation of this entity node. Its sha256 is the content hash.