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AI Tokens Are Quietly Outperforming the Market — Who’s Next After RENDER & VIRTUALS? While majors chop, AI crypto is leading the rotation RENDER and VIRTUALS have become the benchmarks — but smart money is already scanning the next wave. AI tokens to watch closely: • FET – Real-world AI agents + enterprise adoption • AGIX – Decentralized AI marketplace narrative • OCEAN – Data is fuel for AI, and OCEAN owns that layer • TAO – AI subnetworks with real incentives (high beta) • AKT – Infrastructure play powering AI compute demand Why AI keeps winning: • Strong revenue narratives • Real utility (compute, data, agents) • Institutional-friendly storytelling • AI remains the top tech macro of 2026 Market rotates → capital chases utility + growth. AI isn’t hype anymore — it’s infrastructure. Which AI token are you positioning for next?

In brief Fetch.ai said its AI agents had already booked restaurant reservations and paid deposits in live tests. The system used existing Visa infrastructure, issuing temporary card credentials tied to specific purchases. The company said additional review pushed the public rollout to January, with Mastercard support expected later. Decrypt’s Art, Fashion, and Entertainment Hub. Discover SCENE Autonomous AI agents have become increasingly proficient at searching and recommending shopping options, but most stop short of completing transactions. Fetch.ai said Thursday that it will roll out a payment system in 2026 designed to let AI agents execute purchases and deposits on a user’s behalf. The new feature set to launch in January addresses one of the largest barriers to wider adoption of agentic AI. While consumer-facing systems can suggest flights, hotels, or services, virtually all of the agentic systems need real-time human approval before handling payments because of security, liability, and regulatory risks. Fetch.ai founder and CEO Humayun Sheikh said the obstacle was less about access to payment rails and more about how AI systems are designed. "We’ve been working on it for at least five years, and the reason is because we’re going to see a transition from the web-based economy to an AI-first economy," Sheikh told Decrypt. "And the only way to do that is where AI agents can communicate with each other and transact with each other." amp;amp;lt;span data-mce-type="bookmark" style="width:0px;overflow:hidden;line-height:0" class="mce_SELRES_start"amp;amp;gt;amp;amp;lt;/spanamp;amp;gt;amp;amp;lt;span data-mce-type="bookmark" style="width:0px;overflow:hidden;line-height:0" class="mce_SELRES_start"amp;amp;gt;amp;amp;lt;/spanamp;amp;gt; The new payment functionality is hosted on Fetch.ai’s ASI:ONE platform and aims to allow agents to book services, place orders, and send payments even when a user is offline. The company said it is working with established financial providers instead of building proprietary infrastructure. “All of these rails matter, but having them isn’t enough if a system can only do one thing at a time internally,” he said.“That’s why ChatGPT hasn’t managed to do this. It doesn’t have a system that allows you to actually buy something from someone.” “This is a Visa system,” Sheikh said. “We’re connecting it to the agent and making sure there’s trust building, a layer of security, and a KYC element built in.” He added that while the technology is ready, the rollout was delayed to January to allow additional checks by Visa. Mastercard support, he said, is expected to follow. To address security concerns, Fetch.ai said the system relies on single-use payment credentials rather than permanent card numbers. Transactions are authorized through Visa, which issues temporary credentials limited to specific amounts and purposes. The platform supports both traditional card payments and on-chain transactions using USDC or Fetch.ai’s FET, the native token. The company said it has avoided direct bank transfers, citing the additional regulatory requirements associated with that approach. Fetch.ai has also built an identity layer into the system, requiring agents to act on behalf of identifiable users or businesses rather than operating anonymously. The design comes as retailers and platforms push back against automated shopping tools that mimic human behavior. Last month, Amazon sent a cease-and-desist letter to Perplexity, alleging that its Comet tool was disguising bots as human shoppers. Sheikh said Fetch.ai’s agents are designed to operate transparently, with persistent identities tied to specific users. “When an agent isn’t live, for example if it’s hosted on a local machine that goes offline, it has a mailbox,” Sheikh said. “When it comes back online, it checks messages, downloads them, interprets them, and takes action.” The rollout also comes amid changes inside the Artificial Superintelligence Alliance, a group Fetch.ai formed in 2024 with SingularityNET and Ocean Protocol. In October 2025, Ocean withdrew from the ASI Alliance, citing disputes over treasury control and the closure of its token bridge. Despite the turbulence, Fetch.ai said it remains focused on an owner-operated model that allows users and businesses to host and manage their own agents rather than relying on centralized platforms. “That architecture exists for people who want to run their own agents,” Sheikh said. “We give them the facility to own and operate them, with each agent representing a known user.”

THE COLLAPSE OF AI? WHY FAIR ATTRIBUTION IS CRITICAL — AND HOW CAMP NETWORK AIMS TO FIX IT The rapid rise of artificial intelligence has transformed industries at breathtaking speed, but beneath the excitement lies a growing structural threat: AI may collapse under its own weight unless it scales legally and ethically. As models train on massive datasets and replace human labor at unprecedented rates, creators are being left behind — uncredited, uncompensated, and increasingly powerless. Without solving this imbalance, the AI ecosystem risks becoming unsustainable. Two leading crypto-AI projects, $TAO and $OCEAN, have shown that AI can scale in a decentralized and crypto-native way. But even these advances highlight a deeper issue: without fair attribution and licensing, creators’ intellectual property is diluted, and the very foundation of AI development becomes unstable. --- AI Is Replacing Creative Labor Faster Than Creators Can React Creative work — writing, music, design, art, code, videos — is being replaced 100× faster than creators are being paid for it. Their content is pulled into datasets without: Permission Payment Attribution This creates a dangerous imbalance: AI becomes more powerful, while creators lose control over their own intellectual property. This mismatch is now one of the biggest threats to the long-term viability of the AI economy. --- Camp Network: A New System for Fair AI Licensing To address this growing crisis, Camp Network offers a framework that enables AI to grow without exploiting its foundational contributors. It introduces an onchain system where IP rights are registered, licensed, and monetized transparently. Camp enables: 🔸 Creators to register their IP onchain Every piece of content can be verifiably owned and tracked. 🔸 AI agents to license content automatically Instead of scraping datasets illegally, AI pays creators for use of their work. 🔸 Royalties to flow transparently and instantly No gatekeepers, no intermediaries — creators get paid fairly. This system creates a sustainable loop: creators supply licensed material → AI agents use it legally → royalties reward creators → the ecosystem grows. --- Collaborative AI: The Only Sustainable Future The next phase of AI evolution will not be built on exploited labor, unlicensed datasets, or legal gray areas. Instead, it will depend on: Transparent attribution Onchain licensing Fair royalty distribution Collaboration between creators and AI Camp Network operates precisely at this critical AI × IP intersection, solving the core issue that threatens the future of artificial intelligence. If AI is to thrive long-term, it must scale legally — and Camp may be one of the first true solutions pointing the industry in that direction.

2025 isn’t just another year of hype; it’s the year AI and crypto finally stop flirting and get married. While Big Tech hoards data and compute like dragons on gold piles, blockchain is quietly handing the keys to the kingdom back to creators, users, and builders. The trust crisis is over. Centralized AI models can hallucinate, get censored, or simply lie because one company controls the weights. Enter decentralized inference networks like Bittensor, Render, and Akash. In 2025, your Grok or Llama query doesn’t bounce to Silicon Valley servers; it’s routed to thousands of community-owned GPUs worldwide, verified on-chain, and paid in crypto in milliseconds. Result? No single point of failure, no kill switch, no “trust us, bro.” Data is the new oil, but right now it’s being extracted without consent. Blockchain flips the script with verifiable data DAOs and token-incentivized contribution. Projects like Ocean Protocol and Grass let users sell their anonymized browsing data, medical records, or even smart-home sensor streams directly to AI trainers; earning tokens while keeping ownership. For the first time, the average person profits from the AI boom instead of just funding it through free labor. Then there’s the money. Training a frontier model costs hundreds of millions and only VCs and nation-states can play. Crypto changes the game with liquid, permissionless capital markets for compute. Tokens like $TAO, $RENDER, and $AKT are already up 5-20x in 2025 as retail floods in, turning “GPU poor” into a temporary condition. Decentralized spot markets for H100s now trade 24/7 with tighter spreads than AWS ever offered. The verdict? AI without blockchain is rapidly becoming like the internet without HTTPS; technically functional but increasingly unacceptable. In 2025, the convergence isn’t coming; it’s already here, running on rails of code, incentives, and cryptographic truth. The only question left is: are you still renting your intelligence from a corporation, or do you finally own a piece of the mind? $TAO $RENDER $QUBIC