AI

SaaS: Doomsday or a New Golden Age? As AI agents start autonomously writing code, software companies are left with only one true moat: proprietary data. In early 2026, feature updates from Anthropic and OpenAI sparked a sharp decline in SaaS stocks. Yet, robust earnings from Bloomberg, Salesforce, and ServiceNow provided a surprising counterpoint. This article explores the logic behind the “factor scarcity shift”: In the era of AI agents, tool-building capabilities have become abundant, while authentic business context and historical transaction data have turned into extremely scarce fuel. Lightweight software lacking data access will be effortlessly displaced by agents, while legacy giants with deep “contextual knowledge graphs” are moving from selling software to charging “rent” for powering AI engines.

Drawing from NVIDIA CEO Jensen Huang's recent in-depth interview, this article provides a systematic analysis of the AI token economy, pricing mechanisms for computing power, the emergence of inference computing, and the growing trend of AI industrialization. It delves into how AI is transforming production functions and redefining the global computing power industry.

This article draws on highlights from the Bloomberg Originals podcast, focusing on the investment cycle where Nvidia invests up to $100 billion in OpenAI, OpenAI leases computing power from Oracle, and Oracle purchases Nvidia chips. Through this lens, it offers a clear analysis of the profitability challenges facing the industry during the current AI boom.

How does AI power NFTs? The key lies in breaking through the traditional NFT framework that focuses only on ownership verification and scarcity, and instead embedding intelligence directly into the asset structure itself. The original purpose of Non-Fungible Tokens was to solve the problem of digital ownership and uniqueness. Through blockchain technology, artworks, music, and virtual items gained verifiable ownership for the first time. However, this design also defined a structural limitation. Once minted, an NFT's content and functionality are permanently fixed, causing most NFTs to resemble on-chain certificates rather than assets that can be actively used or continuously evolve. As a result, their value depends heavily on narratives and market sentiment.

GateAI consolidates fragmented market data into a clear, contextual structure, empowering traders to distinguish facts, variables, and uncertainties amid information overload. By lowering the cost of analysis, GateAI enables decisions grounded in comprehensive and rational market insight.

The article precisely highlights that the true difficulty lies not in predicting when AI will achieve superintelligence, but in determining who currently makes decisions on your behalf and who sets the limits of AI's capabilities.

AI is creating identities, content, and behaviors at extremely low cost, while the current internet lacks native mechanisms to distinguish humans from machines. This article systematically explains why blockchain is becoming the critical infrastructure for the AI era: by raising the cost of impersonation, building decentralized human identity systems, providing portable identity and payment capabilities for AI Agents, and enabling privacy protection through zero-knowledge proofs, blockchain offers the essential foundational constraints for an AI-native internet that can still be trusted.

The article discusses a unified Agent service index, verification of prediction market capabilities, an ERC-8004 reputation system integrated with the x402 payment SDK, achieving a decade of Web2 evolution in just 30 days, addressing data noise and Sybil attacks, and advising developers to seize the crucial 2–3 month product window under legal considerations.

The article analyzes the safety debates, interprets the involvement of xAI and Elon Musk as an endorsement of the early singularity phase, and explores the recruitment of cryptography experts to train on-chain trading models. It reveals that the autonomous agent economy is poised to disrupt both human-computer interaction and the landscape of Decentralized Finance (DeFi).

GateAI is an advanced intelligence tool built for crypto traders, specializing in information consolidation and market context analysis. While it does not offer investment advice, it empowers users to develop a rational decision-making framework in environments characterized by high volatility and information overload.

As a new wave of AI hype sweeps across social media and the crypto market, this article draws a parallel with the 2021 NFT craze, pointing out that extreme optimism and panic often represent a premature consumption of an “ending that has not yet arrived.” It deconstructs this emotional cycle by examining the gap between narrative drivers, market behavior, and technological potential.

Gate AI is now officially available. Leveraging real data and advanced market analysis features, it enables users to efficiently grasp market dynamics, reduces the barriers to obtaining trading information, and ushers in a new era of intelligent trading support.

Virtuals Protocol is a blockchain protocol built specifically for intelligent AI agents. It aims to help AI evolve from a functional tool inside a single platform into a digital entity with autonomous behavior, on-chain identity, and economic value. In its design, each AI agent can be deployed, traded, and co-owned. Through decentralization, it addresses common limitations in traditional AI systems such as concentrated ownership, high deployment costs, and difficulty monetizing outcomes, so that AI can truly become an on-chain asset that participates in market activity.

IAO (Initial Agent Offering) is a new Web3 asset issuance model designed specifically for AI agents. It represents a shift in asset issuance logic from earlier fundraising focused models such as ICOs and IDOs toward an on-chain economic model centered on digital labor. Under this framework, the AI agent itself becomes the core asset. Its functionality, revenue rights, and governance rights can all be tokenized and discovered by the market, allowing AI to evolve from a simple tool into an on-chain entity capable of economic activity.

Immutable Contribution Vault (ICV) is an on-chain contribution and revenue sharing mechanism designed for collaborative AI development. Its core idea is that contribution itself is an asset. By writing processes such as model updates, data submissions, feature development, and behavior design directly onto the blockchain, ICV creates immutable contribution records. This transforms development activities that were previously difficult to quantify or track into verifiable and traceable on-chain assets, while providing a transparent and reliable basis for future revenue distribution.