PEARL Wake-Up Call: With Supply-Demand Imbalance and Insufficient Security Budgets, Can This AI Mining Narrative Hold Up?

Author: Kunal Doshi (Blockworks)

Translation: TechFlow

TechFlow Highlights: Amid the accelerating narrative of artificial intelligence and cryptocurrency integration, PEARL has quickly emerged as a highly sought-after phenomenon project, bolstered by its “Proof of Useful Work” (PoUW) mechanism and a founding team with top-tier academic credentials. Its core narrative aims to address Bitcoin’s long-standing bottleneck: redirecting computing power from meaningless hash computations toward AI training and inference, while providing miners with dual revenue streams to offset future yield gaps following halving events.

However, Blockworks researcher Jake Koch-Gallup pours cold water over the frenzy. Written from a rigorous fundamental investment perspective, this article deeply deconstructs four fatal flaws behind PEARL’s glamorous narrative: devastating liquidity drain on secondary markets due to 85% inaugural-year inflation; pure subsidy and cash-out machine dynamics resulting from AI end-users settling exclusively in USD fiat; severe vulnerability to rentable-hashrate 51% attacks—mirroring early ETC scenarios—due to an oversupply of commodity data center GPUs; and a stark historical parallel to Zcash’s early price collapse.

Regardless of how short-term market sentiment irrationally inflates the token price, this in-depth research report offers a rare moment of sober reflection amid the fervent AI mining narrative.

To put it bluntly: I don’t like Pearl. I am a steadfast PEARL bear, and even if its market cap skyrockets to $10 billion, I will remain bearish. The reason is simple: its fundamentals are objectively terrible, and I am a fundamental investor. If you hold PEARL solely for short-term speculation and market narratives, I completely understand. But if you’re holding it because of some purported “fundamentals,” you are dead wrong. (If you dislike these remarks, don’t worry—a full deep-dive research report specifically targeting Pearl will be published shortly.)

Nevertheless, before laying out my full bear case, let me first construct the core bull thesis with rigorous logic.

Pearl’s proposed “Proof of Useful Work” (PoUW) is indeed a highly innovative and novel security model framework. Currently, Bitcoin mining consumes massive amounts of electricity purely on hash collisions that serve no practical utility beyond computing hashes; Pearl cleverly leverages matrix multiplication operations inherent in AI model training and inference to secure its own blockchain network. Meanwhile, Bitcoin block rewards are highly unlikely to cover rising electricity and hardware costs, especially after the next halving in 2028—which is precisely why many traditional miners are rapidly pivoting toward AI compute tracks. However, this transition typically demands abandoning crypto mining altogether, since Bitcoin-specific ASIC chips cannot run any AI workloads. In contrast, within the Pearl network, an identical GPU cluster can simultaneously provide compute services to AI clients and mine on-chain.

AI service providers can directly utilize their existing GPUs to mine PEARL without building dedicated infrastructure from scratch, and the community-proposed FP8 upgrade will tightly align the mining algorithm with modern AI core compute workloads. Commercial AI revenue is sufficient to cover hardware depreciation and procurement costs, making mined PEARL tokens a natural incremental yield for miners. This stands as the strongest rebuttal to the so-called “sell pressure argument”: when miners have already recouped and profited from their GPU hardware costs through real-world AI operations, they face absolutely no necessity to panic-sell tokens on secondary markets merely to cover electricity bills.

Beyond that, the project’s core team reads like an all-star lineup. It was built jointly by Omri Weinstein (former lead researcher at NVIDIA, Microsoft, and Vast Data; current Computer Science professor at Hebrew University of Jerusalem; currently on unpaid leave from Columbia University) and Ilan Komargodski (top cryptographer at NTT Research and professor at the Hebrew University of Jerusalem). According to the team’s official statements, PEARL also adopts a Fair Launch mechanism, featuring zero venture capital rounds, no private team token allocations, and no cliff-based unlock restrictions (although roughly one-third of the circulating supply was mined within six days prior to mainnet launch, leaving outsiders unaware of exactly how many of those coins ultimately landed in team hands).

Next comes the Monetary Premium thesis. Much like Bitcoin, PEARL generates no cash-flow dividends, meaning its token value derives entirely from monetary premium—the excess investors are willing to pay for holding a scarce, neutral, hard asset safeguarded by a proof-of-work mechanism. PEARL imposes a hard supply cap of 2.1 billion tokens. Since AI clients absorb most of the operational overhead, network security does not need to contract alongside declining block yields. Furthermore, token inflation dilution is heavily front-loaded (approximately 85% this year, dropping to ~33% next year, and further to ~18% the year after), implying the current secondary market pricing may very well reflect the inflation worst-case scenario in Year One. Market momentum remains explosive: the token price has surged roughly eightfold from its August bottom near $0.27, weekly trading volume climbed steadily from $2–3 million in August to $51 million last week, and Coinbase officially added PEARL to its listing roadmap on October 19.

Figure 2: PEARL’s explosive price trajectory and exponential growth in weekly trading volume since the August low

With that established, let us formally pivot to the bear case I stand by.

First, the absolute prerequisite for a monetary premium to function is that the asset must possess genuine scarcity in reality—and PEARL currently lacks any meaningful scarcity. Bitcoin’s current annual supply growth rate sits at roughly 0.8%, whereas PEARL’s annual supply growth over the next year will soar to approximately 85%. At a current price of $2.17, roughly $2.2 million worth of newly minted tokens will be continuously distributed daily to GPU holders who must cover actual electricity bills, while the entire network’s average daily spot trading volume hovers around only $8.5 million. This means daily sell pressure from freshly mined tokens alone consumes nearly 30% of the network’s average daily spot volume. Over the coming twelve months, cumulative newly issued token value will reach approximately $654 million, against the project’s current total market cap of merely ~$768 million. Consequently, the entire secondary market would need to conjure pure incremental buy-side demand roughly equivalent to its current market cap out of thin air over the next twelve months just to barely stabilize current prices and avert a crash.

Figure 3: Comparison of PEARL’s market cap size versus daily new mining token sell pressure and trading volume

Massive inflation represents the most common and lethal argument against PEARL, yet bulls typically counter with: “Didn’t Bitcoin face the exact same thing back in the day? Early-stage Bitcoin also endured extremely high inflation rates. Would you really have refused to buy Bitcoin in 2011?” While this rebuttal sounds compelling, Bitcoin’s legendary wealth-creation myth survived because nobody globally knew how to scientifically price it at the time. When Bitcoin was issuing new supply in 2010 and 2011 at similarly staggering inflation rates as today’s PEARL, its entire network market cap amounted to a mere few million dollars. Today’s PEARL, however, merely six months post-launch, is already ramping up issuance atop a floating market cap nearing $768 million and a fully diluted valuation (FDV) of roughly $4.6 billion. Modern crypto markets price emerging assets with vastly superior efficiency compared to a decade ago—the kind of “massive undervaluation error” that once handed early Bitcoin a divine tailwind has long vanished.

Figure 4: Comparison of supply issuance velocity and valuation scale between early-stage PEARL and Bitcoin

Second, AI clients pay for model inference with real USD fiat rather than PEARL tokens, meaning so-called useful-work compute generates absolutely zero organic, native demand for the token itself. Bulls might argue that Bitcoin likewise lacks burn/consumption mechanisms, and that the 25% inference discount offered by Together AI proves this network subsidy benefits real users. Yet fundamentally, that 25% discount is entirely funded by dumping PEARL tokens on the secondary market. Miners extract the tokens, immediately smash them on exchanges to realize USD, then pass that discounted cash back to AI inference customers. This essentially funnels value out of the token ecosystem to subsidize real-world clients, rather than driving external capital into buy-side orders. Until AI inference services actually adopt PEARL for pricing or settlement, sustained surges in real-world AI usage will only intensify sell pressure cascading into the market—not increase buying interest. More damningly, since the underlying commercial entity, Pearl Research Labs, earns inference revenue directly in USD, the company remains highly profitable regardless of whether the PEARL token collapses to zero. This further exposes a complete absence of competitive moats: any rival could simply fork Bitcoin’s code, integrate their own useful-work proof mechanism, and capture the same market, knowing end clients will still settle exclusively in USD fiat.

Third, even if Pearl eventually claims to possess “total hashing power exceeding Bitcoin’s,” that absolutely does not imply greater network security. Nearly every Bitcoin-capable ASIC miner worldwide is already fully engaged in securing Bitcoin; any potential attacker attempting a takeover would need to design, manufacture, or spend massively to acquire a vast fleet of custom hardware. Should a successful attack trigger a network collapse, those specialized machines instantly become worthless scrap. Pearl, conversely, relies on standardized, cross-industry data center GPUs. The available pool of cloud-commoditized GPU compute available for rent globally vastly exceeds the combined hashpower currently mining PEARL. This mirrors the tragic history between 2018 and 2020, when Ethereum Classic, Bitcoin Gold, and Vertcoin repeatedly fell victim to 51% double-spend attacks: small networks utilizing commodity hardware left their security budgets perpetually vulnerable to outsized, easily rented external compute pools being used to execute hierarchical strikes. Furthermore, Bitcoin miners currently net roughly $36.6 million daily strictly from block subsidies, while PEARL miners rake in merely ~$2.2 million total per day. PEARL’s token price would need to surge at least 17-fold just to barely match Bitcoin’s security budget, and as subsequent block rewards continue to diminish sharply, the price threshold required to maintain that security budget will only grow astronomically higher.

Figure 5: Comparison of rentable commodity data center GPU capacity versus PEARL mining security budget

Fourth, Zcash’s brutally early-stage history has already scripted the ultimate fate for this model, even though PEARL’s current conditions haven’t deteriorated to that extreme yet. Between October 31, 2016, and February 20, 2017—a span of just a few months—ZEC’s price crumbled 91%, plummeting from $328 to $29.80, while its network market cap paradoxically inflated from ~$2.9 million to ~$22 million. During this catastrophe, although the total network market cap expanded roughly eightfold, the circulating token supply exploded by a staggering 84x due to reckless issuance, delivering apocalyptic losses to secondary-market holders. I strongly suspect that back then, die-hard believers’ minds were equally filled with the soothing refrain: “Early Bitcoin also suffered high inflation.”

Figure 6: Historical divergence of market cap expansion versus catastrophic price collapse during Zcash’s early high-inflation cycle

Despite all these glaring fundamental red flags, unfortunately, today’s crypto markets largely still default to pricing tokens based on sentiment and narratives rather than rigorous fundamentals (albeit this pricing paradigm is quietly shifting). Therefore, given that I may simply be positioned on the so-called “mid-curve,” PEARL tokens could very well continue surging in the near term; yet while they rocket upward, I will remain firmly on the sidelines, loudly sounding the alarm over its deeply fractured and broken fundamentals.