The digital asset landscape is currently witnessing a profound convergence between decentralized finance and artificial intelligence, a shift that is redefining the “agentic economy.” At the heart of this evolution is the NEAR Protocol, a blockchain designed by pioneering AI researchers to serve as the high-speed settlement layer for autonomous transactions. To help us navigate the implications of this technological merger and the recent institutional embrace of these assets, we are joined by Nicholas Braiden. As a veteran of the fintech sector and an early advocate for blockchain’s role in reshaping global lending and payments, Nicholas brings a wealth of experience in advising startups on how to leverage these innovations to drive real-world advancement.
The following discussion explores the strategic maturation of the AI-crypto narrative, specifically focusing on the launch of the Bitwise NEAR ETF on the NYSE Arca. We delve into the mechanics of in-house staking rewards, the explosive growth of the NEAR Intents protocol, and how a network maintaining 100% uptime for six years is positioning itself as the backend for a future where AI agents manage our economic lives. Nicholas provides a deep dive into the economic shifts within the protocol, such as halved inflation and revenue-driven buybacks, while reflecting on what this means for institutional portfolios in a post-Bitcoin-dominance era.
The NEAR Protocol is increasingly positioned as a settlement layer for AI agents that book, pay, and swap on our behalf; how does this infrastructure solve the unique trust and speed requirements of an autonomous agent economy?
When we talk about AI agents transacting autonomously, we are entering a territory where human oversight is replaced by algorithmic precision, and that requires a level of trust that legacy financial systems simply cannot provide. The NEAR Protocol provides a “vertically integrated stack” where AI serves as the intuitive front end and the blockchain acts as the immutable backend. Because transactions on this network finalize in a lightning-fast 1.2 seconds, an AI agent can execute a complex chain of swaps or payments without the lag that typically plagues decentralized systems. This speed, combined with costs that are a mere fraction of a cent, allows for a high frequency of micro-transactions that would be economically impossible elsewhere. It’s about creating a world where these agents don’t have to depend on a single, centralized custodian who could freeze a transaction or fail at a critical moment; instead, they operate on a framework that has proven its resilience with 100% uptime over six years of continuous operation.
With the launch of the Bitwise NEAR ETF, we’re seeing a move beyond simple spot exposure into active participation through in-house staking; what impact does this yield-bearing model have on the broader competitive landscape of crypto investment vehicles?
The arrival of the NRR ETF on NYSE Arca marks a significant turning point because it challenges the “idle asset” model that has defined traditional ETFs for decades. By integrating in-house staking to target the network’s average rewards of approximately 5%, Bitwise is essentially offering a regulated vehicle that works for the investor rather than just sitting in a digital vault. This puts immense pressure on other asset managers to evolve; why would an institutional player settle for simple spot exposure when they can capture the underlying network yield? The management fee of 0.75% becomes much more palatable when you realize the staking rewards are effectively offsetting that cost while providing additional growth. It’s a sophisticated bridge between the high-tech AI world and traditional brokerage environments, signaling that the regulatory stance on staking is finally thawing in a way that benefits the end shareholder.
NEAR Intents has seen an explosive jump in volume from under $1 billion to over $32 billion in just one year; what do you believe is driving this massive adoption, and how does it change the narrative around cross-chain liquidity?
That leap from $1 billion to over $32 billion in transaction volume is a staggering testament to the demand for “universal liquidity” that doesn’t rely on risky centralized bridges. The industry has been scarred by bridge exploits in the past, but NEAR Intents solves this by settling cross-chain transactions through smart contracts and quantum-resistant signatures. This technical sophistication allows users—and more importantly, AI agents—to move assets across different blockchains seamlessly without the friction or security vulnerabilities we’ve grown to expect. When you see that kind of volume growth within a single year, it’s a clear signal that the market is hungry for infrastructure that prioritizes security and privacy while maintaining open-access liquidity. It moves the conversation away from “which chain is best” to “how can we make all chains work together,” with NEAR acting as the secure connective tissue for the entire ecosystem.
As Bitwise expands its suite with products like NRR, reaching nearly $9 billion in assets under management, how does this signal a shift in how institutional investors view ‘Alt-L1’ blockchains compared to the early days of Bitcoin-only dominance?
Reaching $9 billion in client assets as of June 30, 2026, Bitwise is demonstrating that the institutional appetite has matured far beyond the “digital gold” narrative of Bitcoin. We are now seeing a transition into “infrastructure investing,” where players look at blockchains like NEAR as the foundational utilities for the next generation of the internet. By listing NRR alongside their Bitcoin, Ethereum, and Solana offerings, they are validating the idea that specialized blockchains have unique, indispensable roles—in this case, powering the emerging agentic economy. Investors are no longer just looking for a hedge against inflation; they are looking for exposure to the actual build-out of AI-integrated technology before it goes mainstream. This launch suggests that NEAR is being viewed as a fundamental infrastructure play, one that offers a “high-beta” bet on the success of AI but with the stability of a battle-tested blockchain.
The economic structure of NEAR has recently evolved with inflation halved to 2.5% and revenue-driven token buybacks; how do these fiscal adjustments bolster the long-term investment case for a token with a $6 billion market cap?
The shift toward a more robust economic model is vital for long-term institutional confidence, especially for a network with a market capitalization exceeding $6 billion and a fully unlocked supply. By halving inflation to 2.5%, the protocol is moving toward a much more sustainable and scarce economic profile, which mitigates the “dilution fear” that often haunts newer Layer-1 projects. Furthermore, using revenue generated from core products to fund token buybacks creates a direct link between network utility and token value, a mechanic that traditional finance professionals find very familiar and reassuring. It transforms the token from a purely speculative asset into one backed by measurable economic activity and disciplined fiscal policy. This maturity, paired with the fact that the protocol was co-founded by foundational AI researchers who understand the long-term scale requirements, makes for a very compelling case for investors looking for stability within the volatile crypto sector.
What is your forecast for the integration of AI and blockchain technology over the coming years?
I believe we are standing on the precipice of an “agentic frontier” where the majority of economic activity will eventually be initiated by AI agents rather than humans clicking buttons on a screen. Over the coming years, we will see blockchain become the invisible, standard backend for every AI application, providing the verifiable security and universal liquidity that these agents need to coordinate and participate in the global economy. As more institutional vehicles like the NRR ETF enter the market, we will see a massive influx of capital that treats these protocols not as experimental software, but as the essential railways for 21st-century commerce. The line between “fintech” and “crypto” will continue to blur until we simply have a unified, automated financial system that is fast, trustworthy, and entirely global.