- Datavault AI Chief Executive Officer (“CEO”), Nathaniel Bradley speaks to the core principle of the modern AI economy, the interdependence of compute power and data sovereignty.
- Bradley articulated a broad ambition for Datavault AI: AI that benefits everyone, not only those with massive compute budgets.
- By grounding its mission in ethical data use, sovereignty and monetization, Datavault AI seeks to help define a more equitable era of artificial intelligence.
In a recent interview on the Schwab Network, Nathaniel Bradley, Chief Executive Officer (“CEO”) and co-founder of Datavault AI (NASDAQ: DVLT), emphasized the need for artificial intelligence (“AI”) that benefits businesses of all sizes, not just the world’s largest technology platforms. Datavault AI is working to become a leader in data monetization, credentialing and digital engagement, offering technologies designed to help organizations authenticate, enrich and transform their information into measurable economic value.
During the interview, Bradley was asked about a multiyear deal in which OpenAI agreed to pay Amazon an estimated $38 billion for cloud computing resources. Bradley noted some skepticism about the agreement and highlighted what he views as a core principle of the modern AI economy: the interdependence of compute power and data sovereignty. In addition, Bradley suggested that the emerging AI landscape should not be dominated exclusively by massive platforms capturing data without equitable economic participation from the organizations and individuals who create it. Instead, Bradley argued for a model in which sovereignty and compensation become central to data-driven systems, explaining that companies across sectors, including media, manufacturing, and technology, are sitting on copious amounts of data that they have not yet monetized but should.
“We need AI that works for people, that unlocks value and makes our world more livable. That’s what DataVault AI has focused on,” Bradley said. “By grounding our mission in ethical data use, sovereignty and monetization, Datavault AI seeks to help define a more equitable era of artificial intelligence, one where authenticated data becomes an asset class and where AI empowers organizations to convert information into measurable financial outcomes.”
Bradley’s comments reflect a recurring narrative within the company’s messaging: that the next generation of artificial intelligence will be defined not solely by processing power, but by the ability to transform authenticated data into revenue-bearing digital assets. Datavault AI describes its platform as a system that enables businesses to structure, secure and monetize their data across Web3 and advanced digital asset frameworks (https://ibn.fm/ssTNE). The company’s technology suite includes blockchain-secured credentialing, identity verification and tokenization capabilities intended to help organizations commercialize their data while maintaining ownership rights. Datavault AI positions this technology for use across multiple industries, including sports, entertainment, education, fintech, healthcare and real estate, all of which increasingly require authenticated and commercially viable data trails.
For more information, visit www.DVLT.ai.
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