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first_img Arya.ag, an agricultural loan company in India, is testing tokenized grain warehouse receipts on Avalanche

Arya.ag, an agricultural warehousing and loan company in India, is testing a system for tokenizing warehouse receipts for stored grains on the Avalanche dedicated Layer 1 blockchain. Arya.ag is collaborating with Finternet to connect grain storage, warehouse receipts, collateral commitments, and loan statuses through this network. Devika Mittal, head of Ava Labs India, stated that the testing is underway, with each tokenized warehouse receipt representing ownership of the stored goods.Sanmesh Kalyanpur, a director at Finternet Labs, mentioned that Arya.ag's samplers collect information on stored grains and input it into the company portal. Finternet will integrate farmers, commodities, warehouses, and insurance information into a "composite token" for banks to assess collateral risks. Arya.ag stores approximately $2 billion worth of agricultural products in its warehouse network and supports loans of about 120 billion Indian Rupees (approximately $1.26 billion) annually, with its loan department, Arya Dhan, disbursing around $230 million in loans each year.The concept of Finternet originated from a 2024 paper by the Bank for International Settlements (BIS), co-authored by Infosys co-founder Nandan Nilekani and then-BIS General Manager Agustín Carstens, proposing the establishment of an interconnected unified ledger for tokenized assets. In 2024, the Indian government launched a 10 billion Rupee credit guarantee scheme to encourage financing against electronic transferable warehouse receipts. The two companies have not disclosed the expected launch date or initial deployment scale.

Former Deputy Governor of the Bank of England Jon Cunliffe has joined blockchain payment company Fnality and serves as the Chairman of the UK entity

According to Bloomberg, Jon Cunliffe, the former Deputy Governor for Financial Stability of the Bank of England, has joined the blockchain payment company Fnality and will serve as the Chairman of its UK entity. Jochen Metzger, the former Director General for Payment and Settlement Systems of the German central bank, has been appointed as a member of the Supervisory Board of Fnality Europe and is expected to serve as its Chairman; Ron Berndsen, the former Head of Supervision and Head of Market Infrastructure Policy at the Dutch central bank, will also join the Supervisory Board.Fnality operates a wholesale payment system that allows banks to settle debts using central bank currency balances. Its pound sterling system, regulated by the Bank of England, went live in 2023 and is currently seeking regulatory approval to launch versions in US dollars and euros. Fnality states that the system is designed to support the tokenized trading of traditional assets such as stocks and bonds, enabling the synchronized flow of securities and payment funds across interconnected digital networks, thereby shortening settlement times and supporting round-the-clock trading. Fnality was established in 2019, with investors including major financial institutions such as Goldman Sachs, UBS Group, Santander Bank, Bank of America, and Citigroup.

first_img Research institution Sage Road Research stated that the stock price of the AI company has dropped 20% from its peak in June

The research institution Sage Road Research released an executive summary of "The AI Trade," stating that since the beginning of this year, the Magnificent Seven has underperformed the Russell 3000 index by about 8 percentage points and the MSCI ACWI by nearly 9 percentage points. In July, the CBOE NDX volatility index relative to the VIX reached its highest point since the internet bubble, and after entering a correction, the Nasdaq index saw a 5% rebound over four days. As of the writing of the report, AI company stock prices have dropped 20% from their 52-week highs in June.Companies are struggling to achieve returns on investment amid soaring AI costs, with Uber, Amazon, Meta, and Walmart implementing restrictions on employee AI usage. Model homogenization limits pricing power, and Chinese open-source models have become a cheap alternative to OpenAI and Anthropic. AI capital expenditures have exceeded expectations, with the consensus for 2026 rising from $527 billion at the end of 2025 to about $800 billion by mid-year. Capital expenditures for hyperscale cloud providers in 2027 are expected to account for 3% of U.S. GDP, more than double the peak of 1.2% during the late 1990s telecom fiber construction. Allianz Research calculates that there is nearly a 46% growth gap between AI investment and sales, worse than the 32% during the 2001 telecom bubble.As of June, hyperscale cloud providers and related entities like Nvidia issued $225 billion in bonds, a year-on-year increase of 973.7%. The off-balance-sheet liabilities of tech giants have increased eightfold over four years to $1.65 trillion.

first_img Pantera Junior Partner Jay Yu: Computing power may become a commodity asset

Pantera Capital Junior Partner Jay Yu published an article titled "The Rise of Compute Markets," stating that computing power and data center spending have become a trillion-dollar category, but GPU procurement is still mainly done through group chats, over-the-counter brokers, and bilateral agreements. He noted that the financialization of computing power is still in its early stages, constrained by SKU, time, and location, but could become a commodity asset similar to electricity or oil in the next 5 to 10 years. Jay Yu believes that the computing power market may form a "hardware-supplier-cluster" structure similar to the electricity "grid-operator-node," with new cloud vendors being structural shorts on GPUs, while on-demand platforms and application layers are longs.He mentioned that for every $100 spent on inference at the application layer, about $45 flows to the on-demand layer, about $50 flows to the new cloud or GPU layer, and about $5 flows to routing layers like OpenRouter. NVIDIA can be seen as the "central bank" of computing power, having announced support for up to 25% residual value. He also stated that physical delivery has a more enduring moat, and indices, cash-settled exchanges, and financing tools will subsequently emerge, with participants including SF Compute, Vast AI, Runpod, Compute Exchange, and others. The computing power market does not have mandatory price transparency requirements, and basis risk may be greater.
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