AI Tokens in 2025: In-depth Report

This report provides an investment-focused analysis of 10 notable AI tokens as of 2025. We will examine their performance trends, market capitalizations, adoption levels, and real-world use cases, and discuss current investment sentiment and future outlook based on partnerships, development activity, and industry trends. Key tokens covered include Render (RENDER), Fetch.ai (FET), SingularityNET (AGIX), and seven other prominent AI-focused cryptocurrencies. Data tables with up-to-date metrics are provided for context, and links to resources — including tracking tools like Coin Push — are included to help investors DYOR (do your own research).

Market Overview of AI Tokens in 2025

After explosive gains in early 2023, the AI-crypto sector experienced a more mixed performance through 2024 and into 2025. Many AI-related tokens hit multi-year highs during periods of peak AI enthusiasm, followed by corrections as hype moderated. By mid-2025, AI tokens collectively account for tens of billions in market cap, making this a significant sub-sector. For instance, Kraken’s index of top “Artificial Intelligence” coins shows a combined market cap near $24.8 billion across 38 assets.

Major projects like Bittensor, Fetch.ai, Render, and The Graph each command valuations in the high hundreds of millions or even billions, reflecting the market’s optimism about their potential.

At the same time, volatility remains high. Several AI coins saw rapid run-ups in late 2024 or early 2025, followed by pullbacks. For example, Fetch.ai (FET) rallied to around $1+ (briefly giving it a ~$3+ billion market cap) during an AI buzz in early 2025, but later retraced to the $0.60–$0.70 range. SingularityNET (AGIX) similarly jumped amid speculation — reportedly reaching ~$0.58 — before sliding back to roughly $0.30 by mid-2025.

Such swings underscore that investment sentiment can shift quickly with broader crypto market trends and AI news cycles. Despite short-term volatility, development activity and adoption metrics for many AI projects are on the rise: The Graph’s network usage, for instance, reached all-time highs of 5.3 billion queries in Q3 2024 (up 79% QoQ) as more Web3 applications leveraged its data indexing.

Likewise, SingularityNET’s ecosystem has expanded with dozens of partnerships — 40+ collaborations by early 2025 across AI research, robotics, biotech and more — and iExec RLC reports an ecosystem of 50+ partners including industry leaders like Nvidia and Microsoft. Such developments suggest a growing real-world footprint for these projects, which could support their long-term investment thesis.

Another notable trend is collaboration among AI crypto projects. In mid-2024, three leading platforms — Fetch.ai, SingularityNET, and Ocean Protocol — formed the Artificial Superintelligence Alliance (ASI) and even announced a plan to merge their tokens. This merger, completed in June 2024, unified their communities under a common ASI token, aiming to create a decentralized AI network to rival Big Tech’s AI initiatives.

For investors, such alliances may reduce fragmentation and signal a concerted push toward decentralized AI, though it also introduces new dynamics (e.g., token swap logistics and governance integration). Notably, as of 2025, some exchanges and data sources list Fetch.ai under the alliance banner — CoinMarketCap even labels it “Artificial Superintelligence Alliance (FET)”, reflecting the joint venture.

In the following sections, we delve into 10 AI-focused cryptocurrencies. For each, we provide an overview of its purpose and technology, recent price performance and key metrics, adoption and use cases, and factors influencing its investment outlook (such as partnerships, ecosystem growth, and industry trends).

Prices & market caps as of 12 May 2025

#	Token	Core use‑case (short)	Price	Market cap
1	RENDER	GPU rendering marketplace	$5.19	$2.69 B (CoinMarketCap)
2	FET (ASI)	Autonomous agents & ASI alliance	$0.85	$2.03 B (CoinMarketCap)
3	AGIX (ASI)	Decentralised AI marketplace	$0.37	$0.45 B (CoinMarketCap)
4	TAO	Shared machine‑learning network	$451.40	$3.96 B (CoinMarketCap)
5	OCEAN	Tokenised data exchange	$0.37	n/a (CoinMarketCap)
6	GRT	On‑chain data indexing layer	$0.118	$1.16 B (CoinMarketCap)
7	VIRTUAL	Co‑owned AI avatars/NPCs	$1.93	$1.26 B (CoinMarketCap)
8	RLC	Confidential decentralised cloud	$1.35	$0.10 B (CoinMarketCap)
9	TRAC	Supply‑chain knowledge graph	$0.463	$0.23 B (CoinMarketCap)
10	FORT	AI‑driven Web3 threat alerts	$0.0749	$0.043 B (CoinMarketCap)

Key AI Tokens: Performance and Use Cases

1. Render (RENDER) – Decentralized GPU Rendering for AI & Graphics

Overview:
Render is a decentralized GPU computing platform that connects people with idle GPUs to those needing massive rendering power for tasks like 3D graphics and AI model training. By creating a distributed network of GPUs, Render Network enables faster, cheaper rendering for visual effects, gaming, augmented reality, and even machine learning jobs.

The RENDER token (recently migrated to Solana for better performance) is used to pay for rendering services and reward GPU providers. Render effectively turns GPU power into a commodity that can be rented on-demand — a concept well-aligned with the needs of AI applications. The project boasts an advisory board of tech and media luminaries (e.g., Emad Mostaque of Stability AI and digital artist Beeple), underscoring its strong industry connections.

Token	Price (USD)	Market Cap	24h Volume	2025 YTD ROI (approx.)
RENDER (Render)	$4.33	$2.25 billion	$72.9 million	-40% (from ~$7.3 Jan ’25 to $4.3)

Performance & Market Cap:
RNDR had a strong run amid the AI hype, reaching new heights in the last bull cycle. It traded under $1 in 2022 but surged dramatically through 2023–24. Notably, Render hit an all-time high around $13 in early 2024 as demand for AI-related GPU computing spiked. This was followed by a correction; by May 2025, RNDR trades around $4.30 with a market capitalization near $2.25 billion.

Year-to-date performance in 2025 has been choppy — Binance research notes RNDR “climbed back up from a slight decline last year,” reflecting a recovery from late-2024 lows. Current levels are roughly -60% from its peak, but still 10x higher than two years ago. Daily trading volumes (~$70M) remain healthy, indicating solid liquidity.

Adoption & Use Case:
Render’s core use case — distributed GPU rendering — has real traction. The network has been used by 3D artists, game developers, and VR content creators to render graphics more cheaply than traditional cloud setups. As generative AI and metaverse applications grow, Render’s distributed GPU pool could see increased demand.

The platform is expanding into machine learning as well: its GPU network can accelerate AI model training and inference, offering a decentralized alternative to centralized AI cloud services. This places RNDR at the intersection of AI and blockchain infrastructure. Investors view Render as a pick-and-shovel play in the AI boom, especially given its overlap with companies like Nvidia.

The Burn-and-Mint token model — with RNDR tokens burned for work and reminted to GPU providers — introduces tokenomics that may create deflationary pressure as usage increases.

Outlook:
Investment sentiment on RNDR is cautiously optimistic. It’s backed by tangible tech and a clear market need but also competes with cloud giants and is sensitive to broader crypto trends. Partnerships — especially with content or AI platforms — will be key.

The move to Solana and ongoing network upgrades aim to improve scalability, which supports long-term growth. Analysts note that RNDR’s future is tied closely to the adoption of AI-generated content. As of late 2025, RNDR is considered a relatively lower-risk bet in the AI crypto sector, thanks to its established use case — even receiving a “low-risk” rating from InvestorsObserver.

2. Fetch.ai (FET) – Autonomous AI Agents & the ASI Alliance

Overview:
Fetch.ai is a platform that powers autonomous software agents — digital entities that can perform tasks, communicate, and transact without constant human input. By combining AI and blockchain, Fetch.ai enables these agents to collaborate and automate processes in sectors like DeFi, transportation, and energy. For example, Fetch agents might optimize traffic by managing smart parking or trade on decentralized exchanges. The FET token fuels this ecosystem: it’s used for staking, paying for services, and as a medium of exchange among agents.

Fetch.ai’s vision is sometimes described as building a “decentralized digital world” where AI agents handle complex coordination tasks on behalf of humans and organizations. In 2024, Fetch.ai, SingularityNET, and Ocean Protocol formed the Artificial Superintelligence Alliance (ASI) to pursue decentralized AI together. The alliance launched a unified ASI token in mid-2024, marking one of the first multi-project token mergers in crypto.

Token	Price (USD)	Market Cap	24h Volume	2025 YTD Change
FET (Fetch.ai / ASI)	$0.66	$1.57 billion	$94.5 million	~0% (flat after Q1 spike)

Performance & Market Cap:
FET has been one of the top-performing AI tokens in recent years. It reached around $1 during the 2021 bull run, then surged almost 10x in early 2023 from ~$0.06 to ~$0.60. In late 2024, it rallied again, and by early 2025 traded as high as $1.3–$1.4, pushing its market cap above $3 billion.

Following the ASI token merge and some profit-taking, the price pulled back to the $0.65–$0.75 range by Q2 2025. As of now, FET trades at approximately $0.66 with a market cap of around $1.57 billion and daily trading volume near $95M, reflecting healthy liquidity. While flat year-to-date in 2025, investor interest remains strong thanks to the ASI narrative. Some analyses have projected a potential market cap of $7.5B as Fetch.ai aims to challenge centralized AI dominance.

Adoption & Partnerships:
Fetch.ai has actively built real-world partnerships to drive adoption of its agent tech. A headline collaboration was with Bosch, with whom it co-founded the Fetch.ai Foundation in 2023 to develop industrial Web3 AI applications. Bosch aimed to fast-track adoption in sectors like smart city infrastructure, supply chains, and IoT automation.

Other major partnerships include Deutsche Telekom’s T-Labs. Fetch agents have been piloted in decentralized finance (automated trading strategies) and mobility (e.g., managing EV parking and charging at IAA 2023). The project also launched a decentralized delivery network (DabbaFlow) and maintains integrations with networks like Cosmos.

Outlook:
Investors see Fetch.ai (now ASI) as a long-term play in decentralized AI. The alliance with SingularityNET and Ocean brings expanded resources and broader token utility — but also interdependence among the projects. So far, sentiment is positive, especially around the alliance’s mission to build transparent, shared AI infrastructure.

From an investment standpoint, upcoming milestones such as upgrades to the agent framework and real-world pilots will be key. Governance around the ASI token will also be closely watched. With strong backing from firms like Bosch and Telekom, Fetch.ai remains one of the most credible AI crypto projects — and a favorite among those seeking exposure beyond short-term hype.

3. SingularityNET (AGIX) – Decentralized AI Marketplace

Overview:
SingularityNET is a decentralized marketplace for AI services, envisioned as a platform where AI algorithms, models, and agents can be bought, sold, and coordinated at scale. The project’s ambition is to foster Artificial General Intelligence (AGI) in a decentralized way rather than within a corporate silo. Developers can monetize their AI solutions, and users — both individuals and businesses — can access a wide array of AI services via a unified protocol.

The AGIX token powers the ecosystem by facilitating transactions and governance. In practice, SingularityNET functions like an “app store” for AI services — such as image recognition, language translation, and data analytics — all interoperable through the network.

SingularityNET gained early attention through the Sophia humanoid robot from Hanson Robotics, which uses the platform to distribute AI functions. Led by Dr. Ben Goertzel, the team is respected in AI circles and works at the intersection of neural-symbolic AI and machine learning.

Token	Price (USD)	Market Cap	24h Volume	2025 YTD Change
AGIX (SingularityNET)	$0.31	~$332 million	Low (millions)	-15% (after early spike)

Performance & Market Cap:
AGIX delivered one of the most impressive rallies in early 2023 — surging from ~$0.05 to over $0.50 at the peak of the AI crypto boom. In 2024, it traded between $0.15–$0.60, often reacting to major AI news. In early 2025, AGIX spiked again, reportedly reaching $0.70+ before retracing.

As of May 2025, AGIX trades around $0.30 with a market cap between $330–360 million. Though down about 50% from recent highs, it remains significantly up from its 2023 levels. Exchange liquidity remains healthy. Since AGIX was part of the ASI token merger (with FET and OCEAN), its price now roughly tracks ASI. However, many exchanges still list AGIX separately for continuity.

Adoption & Development:
SingularityNET’s adoption is seen in its growing ecosystem. As of early 2025, the team reported 40 active partnerships in AGI research, cloud robotics, biotech, IoT, and media. Partners include Hanson Robotics, Simuli Inc, and blockchain platforms like Cardano. AGIX also exists on Cardano as part of a multi-chain expansion.

The SingularityNET Marketplace is live, offering a variety of AI services. While detailed usage metrics are not public, developer interest appears to be growing. Community governance plays a role too: AGIX holders can vote on proposals, in line with the project’s decentralized ethos.

The team continues to push the frontier of AI — notably via projects like OpenCog Hyperon for AGI research. A strategic partnership with a leading AI institution in late 2024 sparked a temporary price surge, showing how technical progress can influence market sentiment.

Outlook:
SingularityNET’s future depends on (1) the success of the ASI alliance and (2) its ability to become a hub for decentralized AI services. If ASI (together with Fetch.ai and Ocean) delivers cross-platform utility, AGIX holders stand to benefit. The alliance aims to counter centralized AI control, and if executed well, could unlock powerful synergies across platforms.

Integration challenges remain, and investors are watching to see if the so-called “decentralized AI economy” gains traction. From an investment perspective, SingularityNET is speculative but high-upside. A breakthrough AI use case — or strong marketplace revenues — could re-rate the token.

Current sentiment is cautiously positive. Many see SingularityNET as a pioneering project within the AI-blockchain space. Near-term focus is on expanding available AI services, improving infrastructure scalability, and leveraging its partnerships. AGIX (or ASI) is expected to remain a core holding for investors bullish on decentralized AI.

4. Ocean Protocol (OCEAN) – Data Marketplace for AI

Overview:
Ocean Protocol focuses on a critical resource for AI: data. It provides a decentralized data exchange where providers can tokenize datasets, and AI developers or analysts can discover and access that data securely and privately. Ocean turns data into a monetizable asset — a concept often captured in the phrase “unlocking data for AI.”

Through the Ocean Market, data owners publish “data tokens” representing datasets or APIs. Consumers buy these tokens to access the data. Transactions are tracked on-chain for transparency. The OCEAN token is used for buying data, staking on datasets (for curation), and governance.

A core feature is its “compute-to-data” paradigm: instead of exposing raw data, algorithms are brought to the data, run, and return results — all while the data remains private. This enables use of sensitive datasets (e.g., medical, financial) without compromising privacy. Ocean is effectively building the decentralized data economy, a foundation many believe is essential for AI advancement.

Token	Price (USD)	Market Cap	24h Volume	Notable Trend (2024–25)
OCEAN (Ocean Protocol)	$0.58	$364 million	~$10M est.	Merged into ASI alliance (June ’24)

Performance & Market Cap:
OCEAN reached its all-time high of ~$1.93 during the 2021 bull market. It then fell to ~$0.15–$0.20 during the 2022 downturn. In 2023, as AI narratives took off, it rallied to ~$0.70. Throughout 2024, it traded between $0.30–$0.60. By early 2025, OCEAN priced around $0.28–$0.30 with a market cap near $180 million, following its inclusion in the ASI alliance alongside Fetch.ai and SingularityNET.

Post-merger, OCEAN saw some price fluctuation — likely due to token swaps and dilution. It still trades independently on many exchanges and plays a key role in the alliance’s ecosystem. While not as explosive as some AI tokens, OCEAN remains up from 2023 levels. Trading volumes range from single- to low double-digit millions USD, reflecting its mid-cap status.

Adoption & Partnerships:
Ocean’s technology has attracted enterprise, public sector, and Web3 interest. A notable early partnership was with Daimler (Mercedes-Benz) for a data-sharing pilot in 2020. More recently, Ocean partnered with Alethea AI’s Aethir (a decentralized GPU cloud) to boost AI computing power on its platform.

Ocean also collaborates actively with Fetch.ai and SingularityNET beyond the ASI alliance. This integrated approach means Ocean could supply data for Fetch’s autonomous agents or SingularityNET’s algorithms, all linked via ASI token flows. Real-world use cases span healthcare (privacy-preserving medical data sharing), finance (monetizing alt-data), and smart cities.

Although the concept of buying data via crypto is still early, datasets are being published and traded by developers and data scientists. Ocean Enterprise — the project’s commercial arm — is working on onboarding larger institutional data providers. A compelling demo was the 2022 AI training on COVID-19 data across hospitals without exposing raw records.

Outlook:
OCEAN is considered a longer-term investment tied to the rise of the decentralized data economy. The concept is strong, but widespread adoption will require organizational behavior change. Advocates argue regulations like GDPR actually support Ocean’s approach, as it keeps raw data under owner control.

Its role in the ASI alliance also strengthens its prospects. If the combined ASI ecosystem becomes a go-to for “AI agents + algorithms + datasets,” Ocean benefits from network effects. While it’s not as flashy as other AI tokens, its foundational importance keeps it on many “top AI project” lists.

Key events to watch include major partnerships (e.g., with governments or Fortune 500 firms), Ocean v4/v5 upgrades, and growth in total dataset value. The tokenomics — especially staking on data pools — are designed to reward early adopters. In sum, OCEAN is a patient bet on AI’s hunger for high-quality, privacy-safe data in a decentralized world.

5. Bittensor (TAO) – Decentralized Machine Learning Network

Overview:
Launched in 2022, Bittensor is a decentralized network specifically designed for machine learning. It allows participants to contribute AI models and datasets to a shared network — called “the TAO” — where others can access and use them. Contributors are rewarded in TAO tokens based on the usefulness of their models, creating an open market for machine intelligence.

Models that provide better answers or predictions earn more; weaker models earn less. This encourages the creation of high-quality, useful AI. Bittensor uses a staking-like mechanism where models contribute knowledge and are scored by the network. The end vision is a “Wikipedia of AI models” — an open, decentralized AI brain. TAO is the native token and the project runs on a Substrate-based blockchain, aligning it with the Polkadot ecosystem.

Token	Price (USD)	Market Cap	24h Volume	2025 YTD Change
TAO (Bittensor)	$359.44	$3.14 billion	$90.9 million	-28% (YTD)

Performance & Market Cap:
TAO’s price performance has been stellar. It began quietly in late 2022 but gained major traction in 2023, rising from under $50 to peaks near $740 in early 2024. Although it has since corrected, as of 2025 TAO trades around $359 with a market cap near $3.14 billion, ranking it among the top AI crypto assets.

TAO’s price is partly due to its low supply (max 21 million tokens, with fewer than 1 million circulating early on). Daily trading volume is strong (~$90M), and it’s now listed on major exchanges after initially being available mostly on OTC or decentralized markets.

Adoption & Network Health:
Unlike other projects, Bittensor’s adoption is measured by the quality and activity of its “neurons” — nodes that run AI models. By late 2024, the network had thousands of such nodes running models across NLP, vision, and more. Contributors, including LLM developers, use Bittensor to earn income by plugging in models — a strong sign of grassroots adoption.

The protocol is still evolving (under the name “Opentensor”), but the long-term goal is to enable apps or users to query the network for AI tasks and pay in TAO. So far, most activity is between AI nodes themselves. While it lacks traditional corporate partnerships, the project is gaining traction in the AI research community, and its primary “partnership” is the open-source developer base around it.

Outlook:
Bittensor is a high-risk, high-reward project. Its valuation suggests strong investor belief, but the key challenge is achieving real-world adoption. If Bittensor becomes a go-to decentralized AI network, TAO could become extremely valuable. If not, it may remain niche.

Important factors to watch in 2025 include technical upgrades (for better model integration or external queries), usability (can it rival centralized AI APIs?), and ecosystem growth. Being Substrate-based opens potential for deeper integration with platforms like Polkadot. Some developers have adapted models from Hugging Face for use in Bittensor, showing early signs of interoperability.

Investor sentiment is generally bullish. TAO is seen as an “innovator’s gamble” — early, unproven, but uniquely positioned. With AI centralization increasing, the appeal of an open-source, reward-driven network is strong. If Bittensor continues to attract contributors and improves accessibility, it may establish itself as a long-term player in decentralized AI infrastructure.

6. The Graph (GRT) – Indexing the World’s Data (for AI and Web3)

Overview:
While not an AI model platform itself, The Graph serves as foundational infrastructure for AI and big data within Web3. It is a decentralized indexing and query protocol that organizes blockchain data, making it accessible via GraphQL queries. In effect, it operates like a “Google of blockchains,” indexing data from networks like Ethereum so developers and AI tools can access it without running full nodes or servers.

The Graph’s relevance to AI lies in its ability to efficiently surface on-chain data for use in models and analytics. It has also begun indexing off-chain data, expanding its utility. The native token GRT powers incentives across indexers (node operators), curators (who highlight valuable subgraphs), and delegators (who stake GRT to support indexers).

Widely adopted in Web3, The Graph supports use cases across DeFi, NFTs, DAOs, and more. For AI systems needing access to structured blockchain data — such as financial metrics or user behavior — The Graph provides an efficient gateway.

Token	Price (USD)	Market Cap	Network Usage (latest)	Notable Stat
GRT (The Graph)	$0.090	$856 million	~5.3B queries Q3 ’24	9k+ subgraphs; 20B+ queries/mo

Performance & Market Cap:
GRT launched in late 2020 and quickly spiked to an all-time high of ~$2.84 in early 2021. It then declined during the broader bear market, dropping to ~$0.05–$0.10 by 2022. In 2023, GRT saw brief rallies to ~$0.20, but remained under pressure despite rising AI interest. In early 2025, GRT trades around $0.09 with a market cap near $850 million, slightly below the $1B level it had hovered at previously.

Its trading volume is moderate (~$40–$80M/day). Year-to-date, GRT’s performance has been relatively flat. Unlike other AI tokens, GRT hasn’t seen dramatic speculative spikes — instead, it’s valued as a stable, utility-driven infrastructure asset.

Adoption & Usage:
The Graph is one of the most utilized decentralized protocols. By Q3 2024, it was handling over 5.3 billion queries per quarter on its decentralized network — a 79% quarterly increase. In April 2024 alone, it recorded 20+ billion queries in a single month across all services. Over 9,000 subgraphs (custom indexes) are live, covering use cases from Uniswap to DAO governance.

For AI, this means vast indexed data is readily available — such as DeFi activity for market prediction models. The Graph supports nearly every major blockchain (Ethereum, Polygon, BNB Chain, Arbitrum, Avalanche, etc.) and is integrated into platforms like Messari and Dune Analytics. Some use its data to power external ML pipelines.

Its development team (Edge & Node) is well connected in Web3, with backing from firms like Coinbase Ventures and Digital Currency Group. The Graph has also collaborated with Filecoin, Livepeer, and others on decentralized data infrastructure — making it a backbone of the crypto data layer.

Outlook:
GRT is often seen as a “pick-and-shovel” token — not flashy, but critical. Its value hinges on continued growth in query usage and improvements to tokenomics. Most rewards still come from issuance, but over time, fees paid in GRT (which are burned or distributed to stakers) may drive token appreciation.

In the AI context, GRT’s value may grow as AI bots or agents increasingly consume blockchain data. If decentralized AI agents (like those from Fetch.ai or others) need to access on-chain metrics, they may rely on The Graph. There are also future plans to index off-chain scientific data or AI model outputs, which could deepen its role in the AI ecosystem.

Investor sentiment in 2025 is neutral-positive. GRT is seen as a structurally important protocol with steady utility, though it hasn’t delivered quick returns recently. Long-term holders view it as the HTTP of Web3 — critical infrastructure with investment exposure via GRT. If AI and Web3 continue to converge, The Graph is positioned to supply the essential data layer.

7. Virtuals Protocol (VIRTUAL) – Tokenized AI Agents in Gaming/Entertainment

Overview:
Virtuals Protocol, launched in late 2024, sits at the intersection of AI, NFTs, and gaming. It enables the creation and co-ownership of AI-driven digital characters — from influencers to NPCs to chatbots — that can operate across multiple platforms and generate revenue. These AI agents are tokenized as NFTs, allowing multiple people to own and profit from a single agent’s earnings.

For example, a popular AI streamer or in-game character can earn income via tips, content, or microtransactions, with revenues shared among NFT holders. The protocol handles agent deployment, memory consistency across environments (e.g., Roblox, Telegram), and profit distribution. The VIRTUAL token fuels governance, staking, and potentially network-wide revenue sharing. Built on Ethereum and Base L2, it leverages both mainstream and scalable infrastructure.

Token	Price (USD)	Market Cap	24h Volume	Launch
VIRTUAL (Virtuals Protocol)	$1.72	$1.13 billion	$413 million	2024 Q4 (new)

Performance & Market Cap:
VIRTUAL launched in early 2025 and quickly gained traction. On Feb 21, it traded around $1.17 with a market cap near $754M. By May 2025, the price rose to $1.72 and market cap crossed $1.12 billion, placing it among the top AI-focused tokens.

Its 24h volume has often been in the hundreds of millions (e.g., $390M/day), reflecting intense interest and possible exchange-driven momentum. Early investors saw large gains, but future price discovery remains ongoing — making the asset volatile, yet promising. Its appeal is amplified by the convergence of AI, gaming, and NFT narratives.

Use Cases & Adoption:
Virtuals Protocol targets the creator economy and gaming sector with tokenized AI agents. Early use cases include:

• AiDOLs: Virtual AI influencers monetized on platforms like YouTube or TikTok.
• Gaming NPCs: Smarter, persistent in-game characters that generate income for token holders.
• Roblox/Metaverse: Integration with existing environments for seamless deployment of agents.
• AI Companions: A niche but profitable market, including AI waifus and virtual friends.

Adoption is still early, but the concept of co-owning a revenue-generating AI has clear appeal. Being built on Base L2 may lead to support from Coinbase’s ecosystem. While it’s unclear if there was a launchpad/ICO, attention from platforms like CoinMarketCap and Crypto.com suggests strong early visibility.

Outlook:
Virtuals Protocol merges several hot sectors — AI, NFTs, gaming — making it a compelling speculative investment. Its success depends on user adoption: if agents become popular and profitable, demand for VIRTUAL may surge. If not, the hype could fade quickly.

Expect volatility around product rollouts. A hit AI idol or viral use case could trigger rallies, while delays or poor engagement could drag sentiment. The concept of “owning a piece of an AI character” appeals to investors who believe in the future of AI-powered digital entertainment.

Challenges include IP regulation and securities laws (as co-ownership may raise legal questions). The team’s handling of compliance and content rights will be key to longevity. Still, VIRTUAL is viewed by some as “AI + NFTs 2.0” — a next-gen evolution of interactive, monetized NFTs.

In summary, Virtuals Protocol is a bold, high-upside play. If the vision of tokenized AI agents dominating entertainment platforms comes true, VIRTUAL may become a foundational asset in that economy. If not, it risks being a passing trend. The next year will be telling as real usage data emerges.

8. iExec RLC (RLC) – Decentralized Cloud for AI & DePIN

Overview:
iExec is a decentralized cloud platform where users can monetize computing power and data, while developers can access those resources for their applications. It’s particularly relevant for AI, as it offers compute-intensive backend services without depending on traditional cloud providers. What makes iExec stand out is its use of Trusted Execution Environments (TEE) like Intel SGX and TDX, allowing for confidential computing — critical for AI models that process sensitive data.

Its suite of tools (such as DataProtector and Oracle Factory) supports secure off-chain computation. The native RLC token — “Run on Lots of Computers” — is used to pay for computations and reward network participants. Founded in 2016, iExec has steadily evolved to support AI, edge computing, and DeFi use cases.

Token	Price (USD)	Market Cap	Notable Partners	Network Highlights
RLC (iExec RLC)	$1.09	$79 million	Nvidia, Microsoft, Intel, IBM	50+ partners; 1M RLC dev fund

Performance & Market Cap:
RLC had strong moments in the 2017 ICO era and again in 2021 when it hit ~$15. However, it retraced significantly. Through 2023–2024, it mostly ranged between $0.50–$1.50. As of early 2025, it trades near $1.09 with a market cap of about $79 million, placing it outside the top 100 but still with solid infrastructure.

Daily trading volume remains modest ($1M–$5M), and RLC hasn’t experienced the same “AI hype pump” as other tokens. On Kraken’s AI token list, it ranks around #21 by market cap. Still, it’s up ~50% from mid-2024 — a slow but steady rise. Some investors view its low valuation as a potential opportunity, given its mature tech and strong partnerships.

Adoption & Partnerships:
Though less flashy than newer AI coins, iExec has built an impressive partner ecosystem. Reported collaborators include Nvidia, Microsoft, IBM Cloud, Intel, and Alibaba Cloud. These partnerships imply work around confidential AI or decentralized compute infrastructure.

iExec also contributes to Web3 with Ethereum dApp integrations, and its Oracle Factory enables easy creation of decentralized oracles. In 2024, iExec launched a $1M ecosystem fund to accelerate AI and confidential computing projects. It’s been applied in healthcare (e.g., privacy-safe training on hospital data) and contact tracing pilots. In 2025, iExec joined an AI Unbundled Alliance to bring its GPU + TEE tech to decentralized AI networks — further positioning itself as a backend infrastructure provider for AI workloads.

Outlook:
RLC’s long-term success depends on the rise of decentralized and privacy-first compute. The DePIN (Decentralized Physical Infrastructure Networks) trend — seen in projects like Helium and Filecoin — may support iExec’s approach, especially as regulation pushes for stricter data privacy controls (e.g., GDPR). For enterprises, iExec offers a way to run AI on sensitive data without exposing it — a strong and relevant use case.

From an investment perspective, RLC might be undervalued relative to its technology and partners. The team continues to build: plans for 2025 include scaling throughput 10x, staking incentives, and buyback mechanisms to reduce supply. In fact, iExec has already begun token buybacks using a portion of its revenue, signaling long-term confidence.

Sentiment is muted on social media, but those familiar with the project view it as a “slow-burn winner” — a less speculative, infrastructure-heavy asset. If a big-name partner use-case or regulation-fueled demand emerges, RLC could reprice significantly. For AI crypto investors, it provides a solid, enterprise-aligned infrastructure exposure with lower hype and strong fundamentals.

9. OriginTrail (TRAC) – Knowledge Graph for Supply Chains (AI + Blockchain)

Overview:
OriginTrail combines blockchain and knowledge graphs to make supply chain data interoperable and discoverable. Branded as a “decentralized knowledge graph,” it allows organizations to share trusted data about assets and products — vital for supply chains, IoT, and connecting real-world records to digital systems.

While not a typical AI project, its graph-based architecture is highly AI-compatible, allowing systems to semantically query structured global datasets. The TRAC token is used by node operators for staking and accessing the network’s services. OriginTrail has been applied in enterprises for tracking products, with compliance to standards like GS1 EPCIS, commonly used by global retailers.

Token	Price (USD)	Market Cap	Use Case Focus	Notable Adoption
TRAC (OriginTrail)	$0.39	$196 million	Supply chain & knowledge graph	Pharma, food, standards (GS1), Polkadot parachain

Performance & Market Cap:
TRAC peaked around $3 in 2021, then declined with the broader market. Through 2023, it ranged between $0.20–$0.50. As of 2025, it trades at $0.39 with a market cap near $194 million. Trading volume remains modest, but the token saw renewed interest thanks to its link with the “AI + data” theme.

Recent upgrades like the launch of DKG 2.0 and a Polkadot parachain (OTP) have enhanced its capabilities. TRAC’s inclusion in AI token lists (e.g., Binance) has brought added visibility, although its narrative is more rooted in real-world utility than hype cycles.

Adoption & Use Cases:
OriginTrail has demonstrated real-world adoption across sectors:

• Pharmaceuticals: Used to verify drug supply chains under EU compliance pilots.
• Agriculture: Tracked food production, e.g., from sugar beet to table in the UK.
• Certifications: Worked with British Standards Institution on audit verifications.
• Art & Provenance: Applied in tracking physical artworks and verifying their origins.

These examples highlight OriginTrail’s core strength: organizing and validating interconnected data. For AI, this means an agent could query the knowledge graph for reliable information — such as product origin or compliance status — using semantic or natural language inputs.

Partnerships:
The project works with standards bodies like GS1 and has collaborated with Oracle through a startup program. It has received attention from the U.S. Department of Homeland Security and participated in EU-backed innovation programs. Its expansion into the Polkadot ecosystem broadens its potential for Web3 integrations, especially for DeFi and identity-based applications.

Outlook:
OriginTrail is positioned where blockchain, AI, and real-world data intersect. As global supply chain transparency becomes a priority, TRAC stands to benefit — especially if enterprises deepen integrations or AI developers adopt its graph.

The project is perceived as undervalued given its actual usage and enterprise appeal. While slower moving than meme-driven tokens, TRAC tends to respond to real developments. If OriginTrail becomes a go-to source for AI-verifiable real-world data, it could gain an “AI infrastructure premium.”

Its Polkadot parachain also opens up DeFi-style innovations (e.g., tokenizing verifiable supply chain data as loan collateral). With a standards-first approach and proven pilots, OriginTrail has a solid foundation. For long-term believers in blockchain-backed AI data systems, TRAC offers meaningful exposure.

10. Forta (FORT) – AI-Powered Web3 Security Monitoring

Overview:
Forta is a decentralized monitoring network designed to secure blockchain activity. Community-run nodes operate AI-powered detectors that watch for exploits, anomalies, or unusual activity in smart contracts and transactions. These detection bots often use machine learning models trained on historical blockchain behavior to flag threats in real-time — from oracle manipulation to unexpected balance changes.

The FORT token is used for staking by node operators and possibly for protocol governance. Forta originated from the security firm OpenZeppelin and is backed by major investors such as Coinbase Ventures and a16z. It acts as a kind of immune system for crypto ecosystems, alerting protocols, exchanges, or DAOs to threats early enough to respond.

Token	Price (USD)	Market Cap	Function	Backing / Users
FORT (Forta)	$0.08	$41 million	Decentralized security monitoring	Coinbase Ventures, a16z; used by major DeFi

Performance & Market Cap:
FORT launched in 2022 and gained traction in 2023 as adoption grew. As of early 2025, it trades around $0.08 with a market cap of roughly $40–$43 million. Volume is relatively low (~$0.4M daily), and the token hasn’t ridden the AI hype wave — likely because security infrastructure gets less speculative attention despite being essential.

FORT’s price has been stable in the $0.07–$0.12 range, with modest volatility. Analysts view it as an under-the-radar infrastructure asset with significant upside potential if token utility expands in tandem with network usage.

Adoption & Use Cases:
Despite its small cap, Forta is already integrated into key parts of the Web3 security stack:

• Used by DeFi protocols: Projects like Compound, Lido, and MakerDAO rely on Forta for real-time alerts on exploits or suspicious activity.
• Blockchain-wide monitoring: Forta has integration with Polygon and other networks to provide infrastructure-level oversight.
• Exchange & auditor tools: Security researchers and bots subscribe to Forta alerts to track on-chain risks in real time.
• AI-powered detection: Forta bots use ML to differentiate between normal and abnormal blockchain behavior — e.g., spotting rug pulls or flash loan exploits before damage is done.

One example includes the early detection of an exploit on Cream Finance, where Forta alerts allowed quick protocol response. This sort of automation is crucial for minimizing damage during hacks.

Outlook:
In a world where crypto hacks routinely cost billions, Forta’s monitoring layer becomes mission-critical. The investment question is whether that demand will translate into token value. If services require FORT staking or usage payments, the token could gain significantly.

Its backers — including Coinbase — indicate that Forta is seen as part of essential crypto infrastructure. If widely adopted across protocols, nearly every serious DeFi project may need to hold FORT (either for operating nodes or for service access). Forta might also evolve alongside AI-driven trading and liquidity agents, which could plug into its alert system to minimize operational risk.

Forta isn’t meme-friendly or high-profile, but it’s building quietly. Its low market cap and high real-world usage give it “hidden gem” status among infrastructure tokens. As AI, DeFi, and on-chain complexity grow, so too does the need for a decentralized guardian — Forta might just fill that role.

Investment Sentiment and Future Outlook of AI Tokens

Current Sentiment: The investment sentiment around AI-related cryptocurrencies in 2025 is a mix of enthusiasm and caution. On one hand, there is excitement that these projects intersect with the two hottest tech trends – AI and blockchain – which could yield outsized returns if even a fraction of AI’s value flows into crypto. This enthusiasm played out in rallies like early 2023 and early 2025, when projects like SingularityNET and Fetch.ai delivered major surges.

Partnership announcements – such as Bosch with Fetch.ai, the ASI alliance, and Nvidia with iExec – reinforce real-world relevance. Tools like Coin Push have dedicated sections for AI tokens, letting users set alerts when coins like RNDR or FET hit certain levels, offering real-time tracking powered by AI prediction models.

On the flip side, many AI tokens have pulled back from highs as valuations ran ahead of utility. The ASI alliance merger introduced both opportunity and complexity, especially regarding tokenomics. There’s overlap among projects, and not all may survive long-term. Risk is elevated, especially with high market caps in early-stage tech.

Future Outlook

Several trends could shape the space:

• Mainstream AI Adoption: If projects like SingularityNET or Fetch.ai gain traction in the broader AI ecosystem, token demand could surge. Their decentralized AI approach aligns with growing interest in AI ethics and transparency.
• Regulatory Developments: Data privacy rules (e.g., GDPR) could benefit platforms like Ocean Protocol and iExec. Meanwhile, crypto regulation could challenge tokens seen as securities. Virtuals Protocol, for example, may face scrutiny if its tokenized AI agents are seen as investment contracts.
• Technology Milestones: Projects are pushing major updates in 2025: iExec’s scaling and token buybacks, Fetch.ai’s unified toolkits, SingularityNET’s AGI research, Bittensor’s throughput upgrades, and The Graph’s cross-chain indexing. Execution of these milestones could drive renewed investor confidence.
• Market Trends: A broader crypto bull market could lift AI tokens. DeFi integration (e.g., SingularityDAO) and emerging AI-DAOs may also drive cross-project momentum. Watch for convergence of AI and DeFi as a trend.

Tracking and Investment Tools

• CoinMarketCap AI Tokens Page – ranked list of AI & Big Data tokens.
• Kraken AI Coins Section – educational content and live prices.
• Coin Push – for real-time alerts on price moves or news. Alternatives: Blockfolio, Delta.
• Dune Analytics / Nansen – for on-chain metrics and whale movements.
• DeFi platforms – GRT and FET can be staked or used in liquidity pools via Aave, Uniswap, etc.

Some platforms are introducing “AI Index” funds bundling multiple AI tokens for diversified exposure.

The AI crypto sector offers high innovation and high volatility. Top projects like Render, Fetch.ai (ASI), SingularityNET (ASI), Ocean Protocol, Bittensor, The Graph, Virtuals, iExec, OriginTrail, and Forta are building at the frontier of decentralized AI, compute, data, and security. Investors are increasingly taking a basket approach, using tools like Coin Push and exchanges like Binance or Kraken to monitor and react.

While returns can be significant, due diligence is essential: review whitepapers, track updates, and try the products when possible (e.g., querying on The Graph or using AGIX tools). Being early is powerful – but managing risk is key in this fast-evolving space.