Tether CEO Paolo Ardoino revealed on March 15 that the company’s artificial intelligence team is preparing to unveil what he described as a “major breakthrough” in the coming week. The announcement hints at the next step in Tether’s push toward decentralized AI technologies.
The statement was released shortly after the QVAC development team released Workbench version 0.4.1
This update redesigned the application interface and improved its ability to run AI models locally on both desktop and mobile devices.
Profits Fuel Expansion Into AI
Over the past year, Tether has been developing QVAC (QuantumVerse Automatic Computer), a platform intended to run AI models entirely on consumer devices rather than relying on cloud servers or API access.
The project operates under Tether’s technology division, Tether Data, and marks a notable shift from the company’s original focus as the issuer of Tether (USDT), the largest stablecoin by market capitalization.
That strategic shift has been supported by strong financial performance. Tether reported more than $10 billion in net profit during 2025, largely due to returns generated from roughly $141 billion in holdings of U.S. Treasury securities.
The company has been directing part of those profits into emerging technology sectors, including artificial intelligence, energy infrastructure, and peer-to-peer communication systems.
Ardoino has repeatedly described these investments as an effort to challenge centralized technology platforms. In earlier interviews, he outlined a vision in which decentralized systems reduce reliance on major tech companies across areas such as cloud computing, finance, and communications.
Growth of the QVAC Ecosystem
Since its introduction in mid-2025, the QVAC project has expanded rapidly.
In October 2025, Tether Data introduced QVAC Genesis I, a synthetic dataset containing 41 billion tokens designed for training STEM-focused AI models. At the same time, the first version of QVAC Workbench was released to allow developers to experiment with running AI models locally on their own devices.
Two months later, the company expanded the dataset to 148 billion tokens with Genesis II. It also launched QVAC Fabric LLM, an open-source framework that allows large language models to be fine-tuned on everyday hardware, including smartphones.
Recently, Ardoino demonstrated QVAC operating as a fully local AI assistant. In the demonstration, the system handled reasoning tasks and automation on a laptop equipped with a relatively modest GPU. It used the Model Context Protocol (MCP) to connect with external tools such as Asana.
Ardoino described the current software as still being in an early stage but said users can already see its long-term potential as development continues toward a full QVAC software development kit (SDK).
The official QVAC team also confirmed that Workbench version 0.4.1 includes a redesigned interface, broader document support for retrieval-augmented generation workflows, and performance improvements for Android devices, including models from Samsung and Google Pixel.
What the Upcoming Announcement Might Bring
The timing of Ardoino’s statement, arriving shortly after several product updates, suggests the upcoming release could significantly expand QVAC’s capabilities. Potential developments could include:
- A complete open-source release of the QVAC assistant framework
- A new on-device AI model designed specifically for edge computing
- Tighter integration between AI agents and Tether’s payment infrastructure, which already supports automated transactions using Bitcoin and USDT
- Tether has also been investing in related technologies that could play a role in its broader AI ambitions. The company previously acquired a majority stake in Blackrock Neurotech, a brain-computer interface developer, for $200 million, and invested in Generative Bionics, a robotics startup based in Italy.
In February 2026, Tether’s EVO division placed fourth in a global benchmark evaluating AI performance in brain-computer interface systems.
Expectations and Caution
Despite the excitement around the announcement, some observers remain cautious. Tether has faced questions about transparency in the past, and teaser posts on social media do not always translate into immediate product releases.
Still, with the company promising details within days, the scope and impact of the upcoming AI announcement should soon become clear.
