BlackRock’s Latest Paper: Where Jasmy Could Fit in the Machine-Native Economy
A new BlackRock Digital Assets Research paper, The Machine-Native Economy, was released 21 hours ago, 23 September 2026.
Whilst it does not mention #Jasmy, #JANCTION or #JasmyChain, its core thesis is strikingly relevant to the direction the Jasmy ecosystem appears to be pursuing through distributed GPU compute, Smart Render, data infrastructure and blockchain-based settlement.
The paper argues that artificial intelligence is moving beyond simply generating text and images. Increasingly, AI systems may be able to find services, make decisions within their permissions, purchase data or computing capacity, and pay for those services automatically. This is the beginning of what BlackRock calls a “machine-native economy”.
For #Jasmy holders, the useful question is not whether the paper is secretly about JASMY. It is not. The question is whether it describes the broader market in which JANCTION and Smart Render could eventually operate. And, it does.
BlackRock’s paper says the next stage of AI may involve software that can do things for us, not just answer questions.
For example, an AI assistant may eventually:
find the cheapest GPU power to render a video
rent that computing power automatically
pay for it instantly
receive the completed work without a person having to manage every step
This creates a potential new economy where AI, payments and computer processing work together. That is relevant to Jasmy because #JANCTION and #SmartRender are aiming at a similar area. Smart Render is designed to use powerful GPUs (including connected idle GPUs) to do heavy video and image-rendering work outside a creator’s own computer.
In simple terms: instead of your laptop struggling for hours to render a video, the job could be sent to a network of powerful computers and completed much faster. Where JASMY could fit is through JasmyChain. If applications such as Smart Render use JasmyChain and people need JASMY to pay network fees, then more genuine use of those applications could mean more ongoing use of JASMY.
AI needs a way to pay
BlackRock starts with a simple but powerful idea:
“AI represents machine-native intelligence, while digital assets represent machine-native money.” (p. 2)
In other words, AI can make decisions and perform tasks, while blockchain-based assets can move value according to programmable rules. Put those together and an AI agent could potentially request a service, pay for it and confirm delivery without the slow manual processes of traditional payment systems.
The paper says that, as AI becomes more capable, it will need infrastructure designed for continuous, small-scale transactions:
“Agentic commerce requires machine-native payment rails.” (p. 2)
This matters because a future AI system may not make one large monthly payment. It may make thousands of tiny payments for data, API calls, model usage, storage or GPU compute.
BlackRock describes blockchains as particularly suited to:
“High-frequency, sub-cent, machine-to-machine (M2M) transactions.” (p. 5)
That is a meaningful conceptual fit with JasmyChain’s role as an L2 where JASMY is used as custom gas. If real applications make frequent on-chain transactions, the chain needs a mechanism to pay for them. The important part, however, is the word real. A gas token only gains durable utility if people and applications actually use the network.
The clearest link: distributed GPU compute
The strongest connection is #BlackRock’s focus on compute as an emerging digital-asset market.
“Compute is emerging as a new and potentially large market for digital assets.” (p. 2)
This is very close to the opportunity behind #JANCTION and Smart Render. Smart Render has been described as a distributed rendering application that uses company-owned GPUs alongside connected idle GPUs, with work allocated across the network. Its immediate use case is rendering video and high-precision Blender files, so creators can offload demanding processing from their own computers.
BlackRock’s broader argument is that computing power is becoming an economic resource in its own right:
“Compute is becoming a distinct, large, and increasingly investable economic resource.” (p. 7)
The paper is not describing one specific project or saying that distributed GPU networks will automatically succeed. It is saying that, as AI demand grows, the market will need better ways to price, allocate, finance and pay for computing capacity.
That is the big-picture opportunity for JANCTION: not merely “crypto plus AI”, but a useful marketplace where people or software can access compute when they need it.
What a functioning network could look like
BlackRock envisages agents that can examine available compute capacity and choose the best option for a particular task:
“Agents could query real-time marketplace APIs to compare available capacity by price, performance, latency, location, and hardware specialization.” (p. 9)
Imagine a creator needing to render a complex animation, or an AI tool requiring short-term GPU power. Instead of manually researching cloud providers, the software could compare available capacity across a network and select a suitable provider.
The paper then describes the desired outcome:
“This framework could enable elastic, just-in-time access to compute with limited human intervention.” (p. 9)
That is precisely why #SmartRender’s operational testing is more important than vague AI marketing. If it can demonstrate that work is actually distributed, completed reliably, stored safely and paid for economically, it begins to prove a practical use case.
The company’s claimed 94% reduction in rendering time during internal verification is promising, but it remains an internal result until independent or user-level evidence shows how the service performs at scale.
Where JASMY could fit, and what must still be proven
BlackRock notes that programmable payment tools could support settlement:
“On-demand settlement on a per-use, per-model-token, or per-job basis.” (p. 9)
For Jasmy, this is the key economic question: could JASMY become necessary within an active ecosystem of compute jobs, storage, data services or other applications?
If #JANCTION applications use #JasmyChain and transactions require #JASMY for gas, then increased application activity should generate increased token usage at the network level. But that alone does not tell us how much value will accrue to JASMY holders. The outcome depends on the fee model, gas pricing, token circulation, any subsidies, the number of users and whether activity is genuine rather than test or promotional traffic.
BlackRock itself gives the right caution:
“The ecosystem remains nascent, with agentic payment activity and compute-market liquidity still limited.” (p. 10)
This means the whole area is still very early and not yet widely used.
“Ecosystem remains nascent”: the technology, businesses and users are still developing.
“Agentic payment activity”: AI agents are not yet routinely making lots of real automated payments for services, data or compute.
“Compute-market liquidity still limited”: there are not yet large, easy-to-use markets where people can reliably buy, sell or trade spare GPU/computing power at transparent prices.
For JANCTION/Smart Render: the idea is promising, but the market is not mature yet. The proof will be real customers submitting real rendering jobs and providers reliably supplying GPU capacity.
That applies squarely here. The opportunity is real, but early. Smart Render is an operational product in testing, not yet evidence of a large and liquid compute marketplace.
Why this is still worth watching
The paper’s conclusion captures the larger theme:
“AI and blockchain-based digital assets are increasingly converging as machines take a greater role in economic activity.” (p. 10)
Jasmy’s relevance lies in whether it can turn that convergence into practical services: secure data handling, identity, distributed compute, creator tools and an accessible payment layer.
The most constructive way to view #JANCTION and #SmartRender is not as a guaranteed price catalyst, but as a potential pathway to measurable utility. The milestones worth watching are clear:
public access to Smart Render and other JANCTION applications
real customer or creator usage
transparent job, user and revenue metrics
evidence that the #GPU network is reliable and economically competitive
clarity on when and how #JASMY is used in the application flow
sustained JasmyChain activity beyond testing
BlackRock’s paper does not validate JASMY as an investment. What it does validate is the relevance of the problem space: AI needs compute, compute needs efficient allocation, and automated systems may increasingly need programmable settlement.
If #JANCTION can execute on that vision, it would be operating in exactly the kind of machine-native economy BlackRock believes is beginning to form.
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