NEAR Protocol Highlights McKinsey Report: 40% of Large Enterprises Now Scaling AI Agents
Key Takeaways
- •McKinsey reports that 40% of enterprises with more than $1 billion in revenue are now scaling AI agents, up from 27% last year.
- •NEAR Protocol highlighted the finding and said the expanding agent economy will increase user demand for data ownership and infrastructure that guarantees it.
- •Autonomous AI agents are shifting from pilot projects into production workloads, raising questions about who controls the data they generate and access.
- •Several blockchain projects have positioned themselves around AI-agent infrastructure, making data ownership and verifiable agent interactions a competitive area.
- •NEAR Protocol reported no trading volume at the time of reporting, though rising enterprise interest in AI agents could influence future market dynamics.

A recent report from McKinsey shows that 40% of enterprises with more than $1 billion in revenue are now scaling AI agents, a substantial increase from 27% last year. NEAR Protocol highlighted this trend in a post on X (source), indicating that as the agent economy expands, users will increasingly demand control over their data. This shift points to the need for infrastructure that guarantees data ownership, which the protocol describes as crucial for future developments in the sector.
The finding reflects a broader acceleration in enterprise AI adoption, where autonomous agents—software systems that can plan and execute tasks with limited supervision—are moving from pilot projects into production workloads. As agents take on more decision-making, questions about who controls the data they generate and access have become a central topic in both enterprise IT and decentralized technology circles.
The Key Development
The current landscape shows mixed signals in the broader crypto market, with various altcoins experiencing shifts in momentum. NEAR Protocol's emphasis on the rising demand for AI agents aligns with this environment, as more enterprises prioritize data control. This focus not only signals a pivotal shift in corporate strategy but also underscores the growing importance of blockchain infrastructure in supporting these developments. As AI adoption grows, the implications for data ownership and security in decentralized systems become increasingly significant.
NEAR is not alone in targeting this intersection: several blockchain projects have positioned themselves around AI-agent infrastructure in recent years, making data ownership and verifiable agent interactions an increasingly competitive area within the sector.
The Numbers
At the time of reporting, NEAR Protocol's market activity remained quiet, with no trading volume reported. However, the surge in enterprise interest in AI agents could influence future market dynamics. Traders and investors are likely watching how this trend may affect demand for blockchain solutions aligned with AI technologies, potentially leading to increased activity in the sector.
NEAR Protocol is a blockchain platform designed to facilitate scalable decentralized applications and services. The recent McKinsey findings place the protocol at the forefront of discussions regarding the integration of AI in enterprise operations, highlighting its relevance in ensuring data integrity and ownership within the blockchain ecosystem.
What Comes Next
The next development to monitor is the reaction from enterprises embracing AI agents and how this integration influences blockchain projects like NEAR Protocol. The focus on data ownership could lead to increased collaboration between the AI and blockchain sectors, potentially creating new investment opportunities. As these developments unfold, observing key partnerships and technological advancements will be crucial for understanding market trajectories.
This article is for informational purposes only and does not constitute financial advice.