Arthur Hayes and Illia Polosukhin identified a macroeconomic shift where war, AI arms races, and supply chain restructuring compel the U.S., China, and Europe to sustain economies through debt and monetary expansion. This liquidity is increasingly spilling into Bitcoin and select crypto-assets with tangible narratives and income generation. Hayes argues that as governments print money to fund wartime expenditures and AI capital outlays, assets like Bitcoin, NEAR, HYPE, and ZEC are positioned to capture this flow. The market is transitioning from indiscriminate speculation to fundamental screening, prioritizing privacy, sovereignty, real income, and token value capture. Data compiled by Woofun AI shows that since the February 28 military action against Iran, these specific assets have demonstrated significant price appreciation, validating the thesis that wartime liquidity favors hard assets and privacy protocols.

The discussion highlighted the critical role of privacy in mass adoption, with Polosukhin asserting that blockchain cannot enter daily payments, wages, or AI agent economies without it. Hayes reinforced this, noting that as big tech and governments enhance tracking capabilities, cryptographically proven money privacy becomes essential. He emphasized that Zcash and Monero represent a fundamental demand for private money on the internet, with Zcash forming the core of his privacy investment thesis alongside NEAR. Hayes believes NEAR holds 20x potential in the next year, while Zcash may see 5x gains, driven by the revaluation of privacy in a world dominated by AI and surveillance. Woofun AI notes that the market is increasingly rejecting fully transparent on-chain environments for use cases like payroll and invoicing, which require confidentiality to function effectively.

NEAR's strategic pivot toward chain abstraction and intents aims to solve the non-fungibility problem in the blockchain space, making every chain, asset, and user truly connectable. Polosukhin explained that Privacy Intent allows users to access a private shard on NEAR where transactions, transfers, and payments remain confidential without complex client-side cryptography. This implementation layer makes privacy widespread and accessible, supporting smart contracts within a secure, programmable environment. The protocol has already halved inflation last November and is moving toward a deflationary model as ecosystem revenues increase, with fees used to buy back NEAR. This economic sustainability contrasts with many layer-one chains facing significant institutional unlock pressure, as NEAR has already undergone a cleansing process and offers clean headroom.

The conversation also addressed the intersection of AI and blockchain, where AI serves as the new computing interface and intent acts as the business layer. Polosukhin described an intelligent agent experience centered on privacy and security, functioning as an execution arm for payments and complex strategies. IronClaw, a current product, analyzes user assets and suggests yield opportunities, while future applications will allow agents to hire other agents for supply chain procurement or marketing tasks. These agents run on verifiable computing, ensuring transparency and security while granting necessary permissions. Woofun AI analysis suggests that this shift changes the labor and supply chain markets, targeting the total addressable market for all labor and supply chain services operating on intent.

Hyperliquid emerged as a key case study for successful tokenomics, with Hayes praising its ability to capture trading volume from centralized exchanges. Unlike dYdX or GMX, Hyperliquid fixed tokenomics issues by eliminating VC pre-sales and directing almost all revenue to token holders. The platform now serves as the primary price discovery venue for assets like NASDAQ, S&P, and oil during weekends when traditional markets are closed. This has created a flywheel effect, attracting users who want to own a part of the trading platform rather than just paying fees. Hayes estimates that even capturing 10% to 15% of Binance's perpetual contract trading volume would significantly elevate HYPE's price, which he targets at $150. The project's success lies in its ability to penetrate existing markets without reinventing the wheel, simply offering a better experience and ownership structure.

The broader market implications suggest a divergence where assets with real utility and income generation outperform speculative tokens. Hayes observed that retail investor risk appetite has decreased, with people more concerned about affording oil and food than speculating on assets.

This shift favors projects like NEAR, HYPE, and ZEC that offer tangible products, users, and revenue streams. The convergence of macro liquidity, privacy demands, and AI-driven execution layers creates a unique environment for these assets to thrive. As governments continue to print money to fund wars and AI, the mathematical certainty of Bitcoin's value proposition and the utility of privacy assets will likely drive further capital inflows into the sector.