Buzzberg Cup Live

Tether Co-Founder on Who Really Wins the Crypto War

Watch on YouTube ↗  |  July 15, 2026 at 18:45  |  42:49  |  Milk Road Macro
Speakers
William Quigley — Co-Founder, Tether & WAX

Summary

William Quigley, co-founder of Tether, explains why Tether left the EU under MiCA, the implications for stablecoin markets, and the evolving regulatory landscape. He argues that stablecoins are the real blockchain prize, that big banks will dominate issuance, but private issuers retain a role. He is bullish on real world asset tokenization and highly skeptical of AI companies as public businesses.

  • Tether exited the EU because MiCA reserve requirements hurt its economics, but the decision is reversible.
  • Circle's USDC and EURC now dominate European stablecoin trading, though euro demand remains weak.
  • The Clarity Act could unlock massive stablecoin issuance by big tech and bank consortia, benefiting Amazon, Apple, and others.
  • Mark Zuckerberg's abandonment of Libra was a huge strategic blunder; a stablecoin could have transformed Meta.
  • Real world asset tokenization is the most compelling investment area due to inefficient asset trading.
  • AI hyperscaler stocks face heavy capex and lack a clear business model, making them unattractive as public businesses.
  • Permissionless blockchains will persist for DeFi innovation, while concentrated trading grows on regulated exchanges.
Ideas
William Quigley Co-Founder, Tether & WAX 37:54
Real world asset tokenization is attractive.
He finds real world asset tokenization very attractive because current asset trading is clumsy and requires many intermediaries to verify assets, while blockchain can make trading more efficient and ensure assets are real. He sees strong arguments for it and is personally allocating time to this area, considering it profitable and value-adding.
William Quigley Co-Founder, Tether & WAX 39:19
AI companies lack viable business model.
He believes AI companies (hyperscalers) have invested hundreds of billions in capex without a clear business model to recoup that investment. He is skeptical that large language models (LLMs) will be the final AI approach, and that these companies resemble heavily regulated utilities with massive capex dependence, making them unattractive as public businesses. Eventually the market will weigh their cash generation and they will not be worth much.
Up Next

This Milk Road Macro video, published July 15, 2026, features William Quigley discussing Real World Asset Tokenization, AI Hyperscalers. 2 trade ideas extracted by AI with direction and confidence scoring.

Speakers: William Quigley  · Tickers: Real World Asset Tokenization, AI Hyperscalers