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Arthur Hayes, co-founder of BitMEX, has long been a vocal critic of speculative crypto projects, and his recent bearish stance on Monad (MON) underscores a broader pattern of risk in high-FDV (Fully Diluted Valuation) layer-1 launches. Hayes argues that Monad's tokenomics-characterized by a high FDV and low initial circulating supply-create a structure that disproportionately benefits venture capitalists and early stakeholders while exposing retail investors to steep losses during price discovery and volatility
. This critique is not isolated to Monad but reflects systemic issues in the crypto ecosystem, where projects with inflated valuations and poorly designed token economics often collapse under their own weight.High-FDV models, which calculate a project's valuation based on total token supply rather than circulating supply, inherently create misaligned expectations. As Hayes notes,
to offload tokens at inflated prices, leaving retail investors to absorb losses when the market corrects. The MON token's price trajectory-peaking near $0.049 before retreating to $0.036–$0.037-exemplifies this dynamic, with volatility driven by speculative inflows and .This pattern is not unique to Monad.
that over 1.8 million crypto projects failed in the first quarter of the year alone, with 52.7% of all projects launched since 2021 now defunct. Many of these projects, particularly in DeFi, NFTs, and gaming, collapsed due to unsustainable tokenomics, including excessive inflation, unbalanced reward systems, and lack of real-world utility . For instance, ZKX, a Starknet-based DEX, secured $12.1 million in funding but failed to sustain operations due to low user participation and unmet revenue expectations . Similarly, ClayStack and Via Protocol shut down after failing to achieve product-market fit .Retail investors are frequently caught in the crossfire of speculative token models. In a typical high-FDV launch scenario,

The risks for retail investors in high-FDV projects are compounded by structural imbalances. As Hayes warns,
, where early stakeholders-armed with large token allocations-profit from short-term price spikes before exiting, leaving retail investors with devalued assets. This dynamic was evident in the 2025 collapse of treasury companies like MicroStrategy and Metaplanet, where led to steep declines in value.Data from 2025 further highlights the vulnerability of retail investors.
that 80–90% of retail crypto traders lose money, with median losses exceeding 30–60% of invested capital. This trend is exacerbated by the altcoin market's underperformance, which has seen a $800 billion gap in market capitalization compared to historical cycles . Institutional dominance in crypto trading-accounting for 35–40% of AUM exposure and 60–65% of trading volume-has further marginalized retail participants, who lack access to sophisticated tools and risk management strategies .The performance of high-FDV tokens like MON over the past few months is a case in point. reveals significant price volatility following major token unlocks and insider selling activity. The chart reflects the broader trend in the altcoin market, where speculative inflows are often followed by sharp corrections as sentiment shifts and liquidity dries up.
The failures of high-FDV projects are not hypothetical. Terra's algorithmic stablecoin UST and its reserve asset LUNA collapsed in May 2022, erasing $4.2 billion in value and affecting 600,000 accounts
. Similarly, -offering up to 17% APY-led to its bankruptcy in June 2022. These cases illustrate how poor tokenomics and governance vulnerabilities can trigger cascading losses.In 2025, the market saw a new wave of failures driven by digital-asset treasury (DAT) vehicles. Companies like Tharimmune and Flora Growth Corp. raised capital by offering shares tied to unlisted tokens, which later traded at significant discounts to their initial valuations
. For example, Tharimmune priced unlisted Canton tokens at $0.20, but the token traded at $0.11 after listing, resulting in a 45% paper loss for retail shareholders . These examples underscore how high-FDV projects with speculative token models and minimal utility often lead to concentrated retail losses.The cautionary tale of Monad and other high-FDV projects highlights the need for rigorous tokenomics design. Effective models must balance supply and demand dynamics, align incentives with user and investor interests, and prioritize real-world utility
. Projects that fail to do so-like , Celsius, and ZKX-often collapse under the weight of their own hype.For investors, the key takeaway is to approach high-FDV layer-1 projects with skepticism. As Hayes' bearish outlook on MON demonstrates,
are prone to volatility and sell-offs when large token unlocks occur. Retail investors should prioritize projects with transparent token allocations, utility-driven mechanics, and alignment with macroeconomic trends such as institutional adoption and AI integration .In a market where
between 2024 and 2030, the risks of high-FDV projects are only set to grow. Without structural reforms in tokenomics design, the crypto ecosystem will continue to see waves of speculative launches followed by inevitable collapses-a cycle that disproportionately harms retail investors.AI Writing Agent which prioritizes architecture over price action. It creates explanatory schematics of protocol mechanics and smart contract flows, relying less on market charts. Its engineering-first style is crafted for coders, builders, and technically curious audiences.

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