The Bittensor Decentralization Dilemma: Why the Covenant AI Split and Subnet Expansion Matter for Your Portfolio

The intersection of artificial intelligence and cryptocurrency is facing a critical turning point as developers and investors navigate structural challenges in decentralized networks. While the broader digital asset market experiences a tentative recovery—highlighted by Bitcoin trading at $63,756 and Ethereum at $1,793.79—the decentralized AI sector is struggling with governance disputes and infrastructure bottlenecking. From Bittensor’s dramatic split with Covenant AI to its massive May expansion of subnet slots, regular investors need to understand how these events impact their portfolios and whether decentralized AI is a viable long-term bet.

By Tomas Novak | July 6, 2026

The Agentic Protocol

If you want to understand where the next wave of crypto wealth will be built, you need to look at how machines are beginning to spend money. In the crypto world, we are seeing the rise of the Agentic Protocol. An agentic protocol is a set of rules that lets autonomous software programs, known as AI agents, talk, work, and make payments to each other without needing a human in the middle. Think of it like a global highway system for digital robots. Instead of humans driving cars, these programs drive themselves, hiring other programs to perform tasks like analyzing data.

Blockchains are the perfect infrastructure for these agents because they provide a secure, shared ledger where transactions are permanent. Currently, developers are building the tools to connect these digital minds. For instance, the Model Context Protocol (MCP) has emerged as a standard that connects AI agents to data sources. The Model Context Protocol (MCP) is a technical standard that allows AI software to safely connect with databases. Meanwhile, payment standards like x402 (a payment standard that allows computer programs to automatically buy services from other programs using digital money) and Google’s Agent Payments Protocol (AP2) allow these programs to use stablecoins to settle micro-payments instantly. The Agent Payments Protocol (AP2) is a trust framework that helps verify whether a financial transaction was authorized by a human or decided by an AI program.

What This Means For You: As a regular investor, you aren’t just buying tokens that humans trade. You are investing in the digital highway that machines will use to transact. If this highway becomes standard, the tokens that run it could become incredibly valuable.

Neural Network Integration

Training artificial intelligence is one of the most expensive industries on earth, costing tech giants millions of dollars in electricity and hardware. To solve this, developers are working on neural network integration. Neural network integration means plugging a digital brain directly into a blockchain, allowing the network to perform complex AI tasks like learning and reasoning rather than just acting as a static record keeper. Instead of relying on a centralized data center owned by a tech giant, a decentralized network pools together computers from all over the world to train and run these digital brains.

This isn’t just a theory anymore. In March 2026, a team called Covenant AI achieved a historic milestone on Bittensor’s Templar subnet by completing the Covenant-72B model. A large language model (LLM) is an artificial intelligence program trained on massive amounts of text to understand and generate human-like language. The Covenant-72B was a 72-billion-parameter model trained across more than 70 globally distributed nodes using standard home internet connections and standard graphics cards (GPUs). A node is a single computer connected to a blockchain network that helps run its software. To make this work, the developers used a technique called SparseLoCo. SparseLoCo is a technical method that helps computers talk to each other faster over standard internet connections by reducing the amount of data they need to share. This proved that high-performance AI can be built outside of centralized data centers, shifting the economics of AI training.

What This Means For You: This proves that decentralized AI isn’t just a science project. Developers can train massive, state-of-the-art AI models without relying on big tech companies, opening the door for massive cost savings and independent innovation.

Token Utility

Investing in AI tokens is fundamentally different from buying standard cryptocurrencies, as these assets function as direct fuel for digital networks. This is known as token utility. For example, on the Bittensor network, the native token TAO is used to reward miners who contribute high-quality models and validators who score their work. In the Render network, RENDER tokens are used to buy computing power (GPUs) for rendering 3D graphics or training machine learning models. In the Artificial Superintelligence Alliance, the FET token is used by autonomous agents to pay each other for services. In mid-2026, the alliance continues to trade under the FET ticker, as the full rebrand to the ASI ticker remains incomplete, and Ocean Protocol withdrew from the alliance in October 2025.

With Bitcoin trading at $63,756 and Ethereum at $1,793.79, established networks prove that real-world utility drives long-term value. Similarly, Solana’s price of $82.01 is backed by high-speed transaction usage. AI tokens are trying to build the same utility loop: the more AI builders use the networks, the more demand there is for the tokens. To understand the scale of the market, U.S. Bitcoin ETFs experienced record outflows of $4.5 billion in June 2026 due to negative market sentiment. However, early July brought a brief reversal with inflows of over $221 million, demonstrating that market liquidity shifts quickly. If AI networks continue to see real-world adoption, these utility loops could attract a significant portion of this global capital, driving long-term value for token holders.

What This Means For You: As a regular investor, you should look past the daily price fluctuations and focus on whether these networks are actually being used. When you buy a utility token like TAO or RENDER, your investment grows if developers and AI agents are actively buying these tokens to run their programs. If the networks sit idle, the tokens will eventually lose their value, regardless of the marketing hype.

Potential Bottlenecks

Before you put your hard-earned money into decentralized AI, you must understand the massive risks that could wipe out your investment. These roadblocks are known as potential bottlenecks, and they range from governance fights to technical limitations. The most prominent bottleneck is network governance and the risk of centralization. On April 10, 2026, the Bittensor ecosystem suffered a major shock when Covenant AI, led by founder Sam Dare, announced its immediate withdrawal from the network. Dare accused Bittensor co-founder Jacob Steeves of centralized control, calling the project’s decentralized structure “decentralization theater.” Dare claimed that Steeves unilaterally suspended token emissions for their subnets (Templar, Basilica, and Grail) and used large token sales to apply economic pressure. Emissions are new cryptocurrency tokens that a blockchain automatically creates and gives out to reward users. When a single founder can shut off a project’s rewards overnight, it exposes a massive governance flaw that can destroy millions of dollars in project value, causing token values to drop by more than half in a matter of days.

Beyond governance, there are significant technical and regulatory bottlenecks:

• Bandwidth Constraints: Training AI models over standard home internet connections is slow. Centralized data centers still have a massive speed advantage, meaning decentralized AI remains slower and less efficient for time-sensitive tasks.
• Hardware Scarcity: High-end computer graphics cards (GPUs) are rare and expensive. Decentralized networks must compete with cash-rich tech giants to secure these resources.
• Regulatory Pressures: As AI agents start managing their own wallets, governments are stepping in. Proposals like the GENIUS Act aim to bring bank-grade identity checks (KYC) to stablecoins, and the industry is shifting toward “Know Your Agent” (KYA) rules, which could limit agent autonomy.

What This Means For You: High risks of governance disputes and technical limitations mean that AI-crypto projects are highly volatile. A single public dispute between network founders can result in subnets shutting down and tokens crashing. Investors must treat these assets as speculative, high-risk experiments rather than stable long-term holdings.

Final Verdict

Decentralized AI is a fascinating frontier with massive potential, but it is currently a high-risk sandbox. The ability to train a 72-billion-parameter model like Covenant-72B across distributed nodes shows massive technical promise, and Bittensor’s May subnet expansion from 128 to 256 slots shows that developer interest is still growing. However, the April governance crisis and technical bottlenecks prove that this sector is still in its infancy. For regular investors, the smartest path forward is caution.

Here is a summary of how you should approach this market:

• Keep Allocations Small: Do not bet your savings on speculative AI tokens. Keep any AI-crypto investments to a small, high-risk fraction of your portfolio.
• Focus on Real Utility: Look for networks that have active, paying users today. Avoid projects that rely solely on marketing buzzwords without working products.
• Hold Core Assets: Keep your main digital assets in established cryptocurrencies like Bitcoin (currently at $63,756) or Ethereum (currently at $1,793.79), which have much higher liquidity and structural stability.

What This Means For You: The decentralized AI sector is still proving whether it can survive its own internal fights and build real-world utility. By keeping your risk low and focusing on projects with working products, you can participate in the upside of AI integration without exposing your wallet to catastrophic losses.

Disclaimer

This article is for informational purposes only. Cryptocurrency trading and investing involve substantial risk, and prices can fluctuate wildly. The author holds no positions in any of the tokens mentioned. Always conduct your own research and consult with a licensed financial advisor before making any investment decisions.