Scaramucci Claims AI Will Consume All Industries
The Block released an interview preview at the Wyoming Blockchain Conference, featuring Anthony Scaramucci discussing Bitcoin volatility contraction, the integration of artificial intelligence with energy and defense technology, and the valuation of Anthropic.
In the interview preview, Scaramucci stated, "AI has the potential to consume everything." The discussion positions AI as a general technology variable that transcends a single software track, placing it within the same capital allocation framework as energy supply, computing infrastructure, space industry, and defense technology.
The Bitcoin segment focuses on the divergence between "super cycle or four-year cycle." Volatility contraction indicates that the market is debating whether Bitcoin is transitioning from an asset dominated by halving, retail liquidity, and cyclical leverage to one priced jointly by institutional allocation, spot liquidity, and a more mature derivatives market.
The interview will also point to emerging market opportunities in space, AI, and defense technology. The common constraints of this combination include long-term capital expenditure, critical hardware supply, energy density, government procurement, and geopolitical demand, rather than the low marginal cost software distribution relied upon by traditional internet companies.
The valuation of Anthropic becomes a separate topic, reflecting that cutting-edge model companies are being valued based on infrastructure assets rather than ordinary application software. Its valuation depends on model capabilities, enterprise clients, cloud computing partnerships, inference costs, data center resources, and ongoing financing capabilities; leading model capabilities do not necessarily equate to sustainable profit margins.
In market mechanisms, buyers of AI computing power include cloud vendors, model companies, government agencies, and large enterprises, while sellers include suppliers of chips, storage, networks, data centers, power equipment, and generation assets; capital will preferentially flow to areas that can alleviate computing and power bottlenecks. If Bitcoin continues to see declining volatility, long-term capital allocation and options sellers will benefit, while short-term leveraged strategies and certain trading platform revenue structures that rely on high volatility will face pressure.
Source: Public Information
ABAB AI Insight
Scaramucci has long viewed Bitcoin as an institutional asset allocation. SkyBridge Capital launched a Bitcoin fund in 2020 and had previously allocated part of its flagship fund to Bitcoin in 2021; subsequently, the product experienced market volatility, redemption pressures, and some funds paused redemptions. This path illustrates that the so-called Bitcoin "super cycle" does not mean prices will no longer retract, but rather that the holder structure, ETF funds, custody capabilities, and derivatives markets may change the triggering mechanisms for retractions and volatility patterns.
The capital path of Anthropic represents a typical structure for cutting-edge model companies: model training requires massive GPUs, data centers, power, and cloud resources, thus heavily relying on strategic investors and cloud platforms. Both Amazon and Google have invested in Anthropic and provided cloud and computing support; this financing is not purely financial investment but locks the training and inference needs of model companies into cloud services, chip procurement, and enterprise distribution systems. Therefore, model companies are both demanders of AI and key clients for cloud vendors' capital expenditure returns.
Historical analogies are closer to the diffusion of dual-use technologies in the 20th century rather than the explosion of mobile internet applications. Semiconductors, GPS, the internet, and satellite communications have all completed technology transfers between government funding, defense needs, and commercialization. Today's AI, space systems, unmanned systems, and high-density energy demands are also developing along similar trajectories: defense orders provide initial demand and budget certainty, while cloud computing and enterprise clients determine scalable revenue. The industry is in a phase of concentrated infrastructure construction, with applications yet to fully distribute profits.
Essentially, this is about capital concentration. Training the strongest models requires computing clusters, data centers, power contracts, and financing capabilities that only a few companies can afford, thus value is first concentrated among NVIDIA, cloud vendors, advanced chip manufacturing, network equipment, and power generation infrastructure. If model capabilities gradually become commoditized, profits may then spread to vertical applications and enterprise workflows; until then, a more accurate meaning of AI "consuming everything" is that AI is first consuming budgets, energy capacity, and capital expenditure priorities.
ABAB News · Cognitive Laws
Technological revolutions first concentrate capital, then distribute efficiency
The limit of computing power is not chips, but electricity and financing
Declining volatility does not mean risk disappears, but rather that pricing power shifts