The ecosystem has been waiting for clarity about stablecoin regulation for a long time. Once proper guidelines are implemented, we believe that it will be a catalyst for further adoption of digital assets and financial innovation. As the first, largest, and most innovative and liquid stablecoin, we look forward to working alongside global governments and regulators to ensure proper compliance and issuance of stable assets like Tether tokens. This will be a pivotal moment in fintech history.
November 2, 2021
We welcome the President’s Working Group’s Report on Stablecoins, released on November 1, 2021.
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Tether Invests in Tenstorrent to Expand Access to Open AI Computing Infrastructure
Investment supports Tether’s ambition to make AI more accessible by giving developers and businesses greater control over the technology powering it 20 October, 2026 – Tether Capital today announced its participation in the $1.5 billion Series E funding round of Tenstorrent, an AI computing company developing high-performance processors, systems and software. The round values Tenstorrent […]
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Tether Invests in AIsa to Expand Its Push into AI-Powered Payments and Programmable Money
Investment advances Tether’s ambition to give people and businesses greater access to knowledge and financial tools 15 October 2026 – Tether Capital today announced a strategic investment in AIsa, a company that enables AI agents to access and pay for data, software, and computing services. As AI agents move from answering questions to conducting research, […]
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Tether Brings On-Device Speech Recognition to Smart Glasses and Humanoid Robots as Smart Technology Moves Deeper Into Private Life
TranscribePsy’s open-source 254-million-parameter model delivers high-performance speech recognition without cloud processing, transcribing 10 minutes of audio in 1.65 seconds on an iPhone 17 Pro Max and advances Tether’s vision for private, voice-enabled AI 14 October 2026 – Tether AI Research* today announced the release of QVAC TranscribePsy, a compact 254-million-parameter multilingual automatic speech recognition model […]
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