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Sarson Funds Research Highlights Industries Driving Private AI Adoption and Blockchain Infrastructure Leaders

By Advos

TL;DR

Sarson Funds' research reveals which industries lead private AI investment and which blockchain companies dominate decentralized AI infrastructure, offering strategic insights for competitive advantage.

Sarson Funds' research projects the private AI market will grow from $11.1 billion in 2025 to $113.7 billion by 2034, with 58% deployed on-premises.

Decentralized AI infrastructure enables enterprises to adopt private AI with enhanced security and lower costs, potentially making advanced technology more accessible and beneficial globally.

Companies like Aethir and 0G are building blockchain-based networks that let businesses run private AI with on-premises security and cloud flexibility at reduced costs.

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Sarson Funds Research Highlights Industries Driving Private AI Adoption and Blockchain Infrastructure Leaders

Sarson Funds, Inc. has published new research conducted in early 2026 that identifies which industries are investing most heavily in private artificial intelligence and which blockchain-based companies are leading the development of decentralized AI infrastructure. The findings come as the global private AI market is projected to grow from $11.1 billion in 2025 to $113.7 billion by 2034, with 58% of deployments expected to remain on-premises rather than in public clouds.

The research is significant because it reveals where enterprise investment is flowing as organizations seek to leverage AI while maintaining data privacy and security. Private AI allows companies to train and run AI models on their own infrastructure or through secure, dedicated services, addressing growing concerns about data sovereignty, regulatory compliance, and intellectual property protection. The substantial market growth projection indicates this approach is becoming mainstream rather than niche.

According to the research, certain industries face particular pressure to adopt private AI solutions due to the sensitive nature of their data and regulatory requirements. While the press release doesn't specify all industries, it suggests healthcare, financial services, and manufacturing are among those with the strongest incentives to implement private AI systems. These sectors handle confidential patient records, financial transactions, and proprietary manufacturing processes that cannot be exposed to public AI platforms.

The research also identifies blockchain companies building the infrastructure for decentralized AI, including Aethir, 0G, Venice AI, and Manifest Network. These decentralized compute networks enable enterprises to run private AI with on-premises security while offering cloud-like flexibility and significantly lower infrastructure costs. By distributing computing power across networks rather than relying on centralized cloud providers, these solutions address both security concerns and cost barriers that have limited AI adoption in regulated industries.

The implications of this research extend beyond technology adoption patterns. As Sarson Funds notes in their disclosure, the firm and its affiliates may hold investments in digital assets or companies referenced in the material, including projects discussed in the report. This positions the research as both market analysis and potential insight into investment opportunities within the growing intersection of AI and blockchain technologies. The full announcement with downloadable images and additional information is available through their website at https://sarsonfunds.com.

For industries under regulatory pressure to protect sensitive data, the emergence of blockchain-based decentralized AI infrastructure represents a potential solution to the trade-off between AI capabilities and data security. The projected market growth suggests these technologies will play an increasingly important role in how enterprises across multiple sectors implement artificial intelligence while meeting compliance requirements and protecting proprietary information.

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