# What Is DeAI? What Counts as Decentralised AI > DeAI is AI infrastructure no single company controls. What decentralised AI means, and three tests to tell it from tokens that just added 'AI'. - Published: 2026-03-05 ยท Updated: 2026-09-26 - Canonical: https://ownyourmind.ai/why-deai/what-counts-as-decentralised-ai/ - Cite as: Own Your Mind (ownyourmind.ai), licence CC BY 4.0. Link the canonical URL. Charts and interactive widgets are omitted here; project data is at https://ownyourmind.ai/api/scores.json. --- ## What is DeAI? DeAI, short for decentralised AI, is AI infrastructure that no single company controls. Compute, models, data, inference and agents run on open networks, usually coordinated by a token, so nobody can switch off your access, censor outputs or own your data. The test that matters is whether the blockchain and the AI need each other. Most tokens tagged "AI" fail it. ## The problem with the AI label There are 911 tokens in [CoinMarketCap's AI & Big Data category](https://coinmarketcap.com/view/ai-big-data/). That number was under 100 two years ago. So what happened? Did 800 teams suddenly crack decentralised AI, or did 800 teams update their website copy? Some of these projects were building AI infrastructure before the narrative existed. Some have made substantive technical pivots. And a significant number have done nothing more than add "AI" to the tagline and watch the token pump. CoinMarketCap's AI category includes [Bittensor](https://ownyourmind.ai/projects/bittensor/) (a network designed from the ground up to incentivise machine learning), [NEAR Protocol](https://ownyourmind.ai/projects/near/) (a sharded L1 now marketing itself as "The Blockchain for AI", though the founders did start in ML before pivoting to blockchain in 2018), and Injective (a DeFi chain with no AI product at all). [Messari's classification system](https://messari.io/sectors) includes "AI Meme" as a legitimate sub-sector alongside AI Infrastructure. That tells you everything. If you are trying to evaluate projects, allocate capital, or just understand what decentralised AI actually is, the existing labels are useless. So here is my attempt at drawing a line. ## Three tests for actual DeAI I have spent the last several months reviewing projects across this space. Staking tokens, testing open models locally and on a VPS using AI agent frameworks like Agent Zero and OpenClaw, reading whitepapers, checking GitHub repos, verifying on-chain data. Twenty years of managing delivery risk on major infrastructure projects makes you sceptical of promises without evidence. Out of that work, three tests have emerged that I apply to every project I evaluate. ### The provenance test Did the AI capability come from the project's founding thesis, or was it bolted on in response to a market narrative? Looks simple. Run a few projects through it and you'll see how messy it gets in practice. Some projects have legitimate technical credentials that predate the AI hype cycle. [Bittensor](https://ownyourmind.ai/projects/bittensor/) was designed as a decentralised machine learning network from day one. [Numerai](https://numer.ai/) has been running a crowdsourced ML hedge fund since 2015. [Venice](https://ownyourmind.ai/projects/venice/) built private inference as its core product. Others arrived at AI through technical evolution. [Render](https://ownyourmind.ai/projects/render/) started as a distributed GPU network for 3D rendering. GPUs that render frames can also run inference. The underlying infrastructure, distributed GPU scheduling and payment rails, translates directly. That's a legitimate expansion of an existing capability. Then there are the projects where the timing tells the story. PathDAO was a gaming guild whose token fell 99%. It pivoted to social apps, then NFT fashion, then music. Nothing worked. In December 2023, it relaunched as [Virtuals Protocol](https://ownyourmind.ai/projects/virtuals/), an AI agent creation platform. The AI agent category then grew 322% in Q4 2024 and Virtuals rode the wave. I am not saying Virtuals has no product. It does. But ask yourself: was the founding question "what technical problem needs solving" or "what narrative will save this token"? APENFT rebranding to AINFT in October 2025, a full year after the AI agent peak, with zero pre-existing AI work? That is not a pivot. That is a costume change. Justin Sun's TRON ecosystem adding "AI infrastructure" to what was an NFT marketplace is pure narrative arbitrage. That is not a pivot. That is a costume change. ### The removal test If you took the AI component out of the project, would it still make sense? [Bittensor](https://ownyourmind.ai/projects/bittensor/) without AI is nothing. The entire consensus mechanism, Yuma Consensus, is designed to reward machine learning contributions. Remove AI and there is no network. Same for [Gensyn](https://ownyourmind.ai/projects/gensyn/). Same for [Venice's](https://ownyourmind.ai/projects/venice/) private inference product. Now consider Chainlink. It appears in several AI aggregator categories because it provides data infrastructure. But Chainlink without AI is still Chainlink. It provides oracle services to DeFi, gaming, insurance and dozens of other sectors. AI workloads might use Chainlink data feeds, but that does not make Chainlink an AI project any more than AWS is an AI company because OpenAI runs on it. EigenLayer is the same story. It is general-purpose restaking infrastructure on Ethereum. Maybe 10-15% of its AVSs are AI-related, and projects like Ritual and Hyperbolic build on top of it, but EigenLayer without AI is still EigenLayer: a restaking protocol. I hold staked EIGEN from the airdrop. That does not make it a DeAI position. Filecoin is in the same position. CoinMarketCap lists it as the fourth largest AI & Big Data token by market cap. Protocol Labs has not rebranded Filecoin as an AI project. Their positioning is clear: AI workloads need storage, and Filecoin provides storage. Arweave is identical: permanent storage that AI workloads can use for model weights and training data, but Arweave without AI is still Arweave. That is an honest framing. Being useful to AI is not the same as being AI. The removal test exposes the difference between AI as the foundation and AI as a customer. > **Being useful to AI is not the same as being AI.** If the project works fine without AI, the AI label is describing a customer, not the product. ### The mechanism test This one comes from [Vitalik Buterin's taxonomy of crypto-AI intersections](https://vitalik.eth.limo/general/2024/01/30/cryptoai.html). The question is: what role does AI play in the protocol's mechanism? Arbitrage bots on DEXs are AI using crypto infrastructure. The blockchain mechanism stays the same. The AI is just a more sophisticated player. Legitimate, but it does not make the DEX an "AI project." More interesting: AI as the objective of the game. The blockchain exists specifically to build, train, coordinate or distribute AI models. [Bittensor's](https://ownyourmind.ai/projects/bittensor/) subnets are this. [Gensyn's](https://ownyourmind.ai/projects/gensyn/) verified compute for ML training is this. The token incentives exist to produce intelligence. Remove the blockchain and you lose the coordination mechanism that makes the AI work. Then there is the problematic case: AI as marketing for the game. The blockchain has its own purpose (DeFi, NFTs, gaming, storage) and AI has been added to the narrative without changing the underlying mechanism. The protocol works identically with or without the AI label. ## The spectrum These three tests produce a spectrum. Here's how I categorise it. ### Core DeAI Projects like [Bittensor](https://ownyourmind.ai/projects/bittensor/), [Gensyn](https://ownyourmind.ai/projects/gensyn/), [Venice](https://ownyourmind.ai/projects/venice/), [io.net](https://ownyourmind.ai/projects/io-net/), [Morpheus](https://ownyourmind.ai/projects/morpheus/), [Grass](https://ownyourmind.ai/projects/grass/), [Ocean Protocol](https://ownyourmind.ai/projects/ocean/) and [Vana](https://ownyourmind.ai/projects/vana/) range in quality and maturity. Some are live with paying usage. Some are still building. But AI is what they are, not a feature they added. ### DeAI-adjacent Projects like [Akash](https://ownyourmind.ai/projects/akash/) (general-purpose compute), [Render](https://ownyourmind.ai/projects/render/) (GPU rendering expanded to inference), Phala (confidential computing pivoting to AI agents), Nillion (blind computation with AI inference as one application), and GEODNET (decentralised geospatial data from ground stations, useful to autonomous vehicles and spatial AI, but the core product is positioning data) have working technology serving AI workloads, but the protocol is general-purpose. I reviewed four privacy/confidential computing projects recently. All four, Nillion, Phala, Secret Network and Oasis, are general-purpose privacy infrastructure that has pivoted toward AI as a use case. Phala is the furthest along, with GPU TEE inference live on H100/H200/B200 hardware, a Phala-reported peak of 758,000 daily AI agent contract executions in December 2024 on its since-retired parachain, and an integration with the Eliza V2 agent framework. But the underlying tech is horizontal. It runs trading bots, healthcare analytics and LLM inference on the same infrastructure. DeAI-adjacent projects can be excellent investments and excellent infrastructure. They deserve coverage. But calling them DeAI projects without noting the general-purpose origin would be dishonest. ### AI-washed Projects where "AI" was added to the marketing after the narrative shifted. The AI component is either non-existent, embryonic, or incidental to the actual product. AINFT (formerly APENFT), SuperVerse, Secret Network (DeFi platform collapsed with TVL down 94%, AI is the replacement narrative), and the hundreds of "GPT" tokens with no underlying technology all fall here. I should be upfront here: I was an early adopter on Secret Network. Privacy is a first principle for me and Secret's confidential computing thesis was exactly what I wanted to support. I staked SCRT, used the network, and wanted it to succeed. That makes this harder to write, but it does not change the analysis. Secret Network is worth looking at closely because it has working technology. Its TEE-based confidential computing can run private AI inference. The SecretAI SDK exists. But the context matters: the DeFi network that was the original product failed. TVL went from $118 million to $7 million. The "confidential AI" positioning filled a vacuum left by a collapsing core business. The SDK has 9 GitHub stars. The team is "actively seeking customers and partners," which is their own language for having infrastructure without adoption. Having real tech does not get you off the hook if the pivot is narrative-driven rather than product-driven. Having real tech does not get you off the hook if the pivot is narrative-driven rather than product-driven. ## Why this matters The AI crypto sector peaked at roughly $70 billion in December 2024. It then fell 75%, erasing $53 billion in market value. AI tokens posted negative 50% year-to-date in 2025 despite being the second most popular narrative in crypto. That is what happens when working infrastructure gets lumped in with narrative tokens. Capital flows in on hype, discovers that most of the "AI projects" do not actually have AI products, and flows out again. The projects doing the work get caught in the drawdown alongside the ones that were always empty. I lost funds in FTX. I know what it feels like when a category collapses because nobody bothered to check what was substance and what was tagline. An [arXiv paper from 2025](https://arxiv.org/abs/2501.10755) reviewed the sector and found that most AI token projects "present a decentralized architecture in theory, while retaining centralized control over core operations in practice." A separate industry survey of 1,200 startups across the wider tech sector, widely cited but with methodology not independently verified, found that 40% of companies branding themselves "AI-first" had zero machine learning code in production. Twenty-five percent were simply wrapping OpenAI's API with a new interface. These numbers should make anyone cautious about taking AI claims at face value. In crypto, where token price directly correlates with narrative, the proportion is likely worse. ## How I use these tests Every project review on this site goes through these tests. When I write about [Bittensor](https://ownyourmind.ai/projects/bittensor/), the AI credentials are obvious. When I write about [Akash](https://ownyourmind.ai/projects/akash/), I am honest that it is a general-purpose compute marketplace where AI happens to be the highest-demand workload. When something does not pass the bar, it does not get a review. I'm not policing labels for sport. The point is knowing which kind of project you're holding. DeAI-adjacent projects can be more practically useful than Core DeAI ones. [Akash's](https://ownyourmind.ai/projects/akash/) compute marketplace works today and is [cheaper than AWS](https://ownyourmind.ai/why-deai/how-deai-actually-competes/). That matters more than whether it was founded as an "AI project." But the distinction matters for understanding what you are buying, what the risks are, and whether the AI narrative is driving fundamentals or just price. The three tests are simple. Did AI come first or after the narrative? Would the project survive without AI? Does AI change the mechanism or just the marketing? If a project fails all three, it is probably not what it claims to be. ## The line we draw Decentralised AI means infrastructure and protocols that exist specifically to build, train, distribute or run AI in a way that no single entity controls, and nobody owns your mind. The blockchain is not a payment layer bolted onto a centralised AI service. The AI is not a marketing label bolted onto an existing blockchain. The two need each other. Everything else is either adjacent infrastructure that serves AI (which can be excellent) or narrative-surfing (which is not). Knowing which is which is half the work of investing in this space. ## Frequently asked questions **What is DeAI (decentralised AI)?** DeAI is artificial intelligence infrastructure built on decentralised networks: distributed compute, open-weight models, and token-coordinated protocols where no single entity controls access, censors outputs, or owns your data. The blockchain and the AI need each other; if you could remove one without affecting the other, it is not DeAI. **What is the difference between DeAI and regular AI?** Regular AI runs on centralised infrastructure controlled by a single company (OpenAI, Google, Anthropic). They decide which models you access, what content policies apply, and how your data is used. DeAI distributes that control across independent participants. You choose the model, the compute provider, and the privacy level. The trade-off is that decentralised infrastructure is less polished but gives you [sovereignty](https://ownyourmind.ai/why-deai/the-case-for-sovereign-ai/) over your AI stack. **How do I know if a crypto project is really an AI project?** Apply three tests. First, did AI come before the token? Projects founded around AI workloads are more credible than existing blockchains that added "AI" to their marketing. Second, would the project survive if the AI narrative disappeared? If yes, AI is a use case, not the foundation. Third, does AI change the protocol's mechanism or just its marketing? If the blockchain functions identically without AI, it is narrative-surfing. **What are examples of core DeAI projects?** Core DeAI projects where AI is the founding thesis include [Bittensor](https://ownyourmind.ai/projects/bittensor/) (decentralised AI network), [Venice](https://ownyourmind.ai/projects/venice/) (private inference), [Gensyn](https://ownyourmind.ai/projects/gensyn/) (distributed training), and [Morpheus](https://ownyourmind.ai/projects/morpheus/) (AI agent network). DeAI-adjacent projects with substantive AI utility include [Akash](https://ownyourmind.ai/projects/akash/) (general-purpose compute with AI as the primary workload) and [Phala](https://ownyourmind.ai/projects/phala/) (confidential computing for AI). See our [project directory](https://ownyourmind.ai/resources/project-directory/) for reviewed projects grouped by function. **Is DeAI a good investment?** It depends on the project. We score every project on two dimensions: Freedom (how decentralised it actually is) and Returns (how well the token captures value). Some projects score high on freedom but have weak token economics. Others have strong revenue models but centralised control. Our [quadrant model](https://ownyourmind.ai/resources/quadrant-model/) maps this trade-off. The honest answer is that most DeAI tokens are early-stage bets on infrastructure that may take years to reach scale.